fix(build): close real local-build gaps found in a hands-on build/run audit

Three verified, currently-live problems, each closed with real evidence
(full trace kept in Neuron memory, tags neuron-technologies/neuron,build-audit):

1. dist/soul.c was stale relative to main's own chat.el (11 commits / 459
   lines behind, missing PR #122's OpenAI-tools + agentic-loop work and its
   two "silently break chat" fixes). tools/soulc-stamp.sh --check confirmed
   it; tools/build-soul-from-dist.sh correctly refused to build (exit 9).
   Regenerated and re-stamped. No runnable regen script existed anywhere
   upstream — added tools/regenerate-soul-amalgam.sh, which reproduces the
   committed amalgam's exact symbol set (byte-for-byte content match, modulo
   the genuinely new PR #122 functions) and is documented end-to-end in
   AGENTS.md, including three real elc/elb toolchain gotchas found and
   root-caused along the way (stale .elh caches silently truncating builds;
   elb cannot produce this repo's single-TU amalgam; elc silently drops the
   first function(s) after a comment block in a flat-concatenated compile).

2. tools/build-soul-from-dist.sh failed to link on macOS (`ld: library 'ssl'
   not found` — Homebrew's openssl@3 is keg-only) and was missing -lssl
   -lcrypto entirely, drifted from CI's own working recipe. Fixed: adds
   -L$(brew --prefix openssl@3)/lib on Darwin, matches CI's link line.
   Verified: dist/neuron now builds and boots clean on a throwaway
   port/HOME (never touched the live :7770/:8742).

3. Untracked committed *.elh compiler-header caches (elc/elb prefer a stale
   cached header over recompiling its source, silently, with no error —
   this is what caused an under-resolved 251-2541-function amalgam multiple
   times during this audit before the cause was found). Removed from git,
   gitignored going forward.

Also: AGENTS.md and README.md existed on disk but were never committed
(git log on both returned nothing) and documented the pre-collapse ~90-tool
MCP surface as current. Committed corrected versions reflecting the live
9-op surface (read/write/relate/supersede/think/attend/assert/ground/learn,
merged in #153) and the audit-verified build recipe/port topology.

Added connectd/ — a minimal local-dev stub for the neuron-connectd MCP
sidecar. routes.el/chat.el call 127.0.0.1:7771 for it right now on every
soul boot and agentic turn per a real, detailed 2026-06-13 spec
(mcp-connectors-adoption-spec.md); the sidecar itself was never built.
Meanwhile :7771 is a live three-way collision (axon's unbuilt-Rust default,
this connectd contract, and council — the anti-confabulation service
actually running there in prod, which live-answers both other things'
requests with unrelated 404s instead of a clean bridge-down signal). This
stub only implements the documented contract as "zero connectors
configured" for local-dev correctness; it does not attempt OAuth or a real
MCP client — that is a real, separate product decision. See
connectd/README.md for the full trace and the open question left for Will.

.gitattributes

@@ -0,0 +1,16 @@
+# ── Generated build artifacts ────────────────────────────────────────────────
+# dist/ holds elc transpiler output (*.c, *.elh) plus the generated decls header.
+# CI consumes these (the "Generate ELP master declarations header" step greps
+# dist/*.c), so they stay TRACKED. But they are machine-generated and must never
+# bloat a review. A single soul change regenerates dist/neuron.c + dist/soul.c =
+# ~57,000 lines of churn that buries the real ~few-hundred-line source diff and
+# poisons both human review and the agent review pipeline.
+#
+#   -diff               → git emits "Binary files differ" instead of the text diff
+#   linguist-generated  → Gitea collapses the file in the PR view + drops it from
+#                          language stats
+#
+# Net effect: PRs show only the real .el/source changes; the build is untouched.
+dist/**              -diff linguist-generated
+neuron-built         -diff linguist-generated
+dist/neuron          -diff linguist-generated

.gitea/workflows/ci.yaml

@@ -9,29 +9,37 @@ on:
       - main
   workflow_dispatch:
 
+# Serialize all activity on the single GCE runner.
+# With build+deploy in the same workflow, a new push queues a single
+# workflow instance — not two competing ones — so the deploy job is
+# never orphaned by a cancellation race.
+concurrency:
+  group: neuron-runner
+  cancel-in-progress: false
+
 jobs:
   build:
     runs-on: ubuntu-latest
 
     steps:
+      - name: Free disk space
+        run: |
+          df -h /
+          docker system prune -af --volumes 2>/dev/null || true
+          df -h /
+
       - name: Checkout
         uses: actions/checkout@v4
 
-      - name: Checkout foundation/el (ELP source for soul.el imports)
-        run: |
-          git clone http://34.31.145.131/neuron-technologies/el.git \
-            --depth=1 --branch=dev \
-            ../foundation/el
-
       - name: Install build dependencies
         run: |
           apt-get update -qq
-          apt-get install -y gcc libcurl4-openssl-dev apt-transport-https ca-certificates
+          apt-get install -y gcc curl libcurl4-openssl-dev apt-transport-https ca-certificates
           echo "deb [trusted=yes] https://packages.cloud.google.com/apt cloud-sdk main" \
             > /etc/apt/sources.list.d/google-cloud-sdk.list
           apt-get update -qq && apt-get install -y google-cloud-cli
 
-      - name: Download El SDK from Artifact Registry
+      - name: Authenticate to GCP + stage PINNED El runtime
         env:
           GCP_SA_KEY: ${{ secrets.GCP_SA_KEY }}
         run: |
@@ -39,79 +47,80 @@ jobs:
           gcloud auth activate-service-account --key-file=/tmp/gcp-key.json
           gcloud config set project neuron-785695
 
-          rm -rf /opt/el/dist /opt/el/runtime
-          mkdir -p /opt/el/dist/platform /opt/el/dist/bin /opt/el/runtime
+          # PINNED RUNTIME — do NOT pull "latest" from Artifact Registry.
+          # The ship-soul calls engram_prune_telemetry (awareness.el sync/heartbeat
+          # self-review). The latest published el-runtime-c no longer defines that
+          # symbol, so an unpinned build fails to LINK — which is exactly how a
+          # broken/handlerless soul reached prod before. Compile against the
+          # vendored release runtime v1.0.0-20260501: the exact runtime the merged
+          # ship-soul was verified against (verify-soul-contract GATE PASS +
+          # genesis boot survives + full safety-contact response). It is committed
+          # under vendor/ so the soul build is fully reproducible and never depends
+          # on a moving AR "latest".
+          rm -rf /opt/el/runtime
+          mkdir -p /opt/el/runtime
+          cp vendor/el-runtime/v1.0.0-20260501/el_runtime.c /opt/el/runtime/el_runtime.c
+          cp vendor/el-runtime/v1.0.0-20260501/el_runtime.h /opt/el/runtime/el_runtime.h
+          echo "El runtime PINNED to v1.0.0-20260501: $(ls /opt/el/runtime/)"
 
-          # Get latest version of each package
-          get_latest() {
-            gcloud artifacts versions list \
-              --repository=foundation-dev \
-              --location=us-central1 \
-              --project=neuron-785695 \
-              --package="$1" \
-              --sort-by="~createTime" \
-              --limit=1 \
-              --format="value(name)" 2>/dev/null | awk -F/ '{print $NF}'
-          }
-
-          ELC_VER=$(get_latest el-elc)
-          ELB_VER=$(get_latest el-elb)
-          RC_VER=$(get_latest el-runtime-c)
-          RH_VER=$(get_latest el-runtime-h)
-
-          echo "Downloading elc@${ELC_VER} elb@${ELB_VER} runtime@${RC_VER}"
-
-          gcloud artifacts generic download \
-            --repository=foundation-dev --location=us-central1 --project=neuron-785695 \
-            --package=el-elc --version="${ELC_VER}" \
-            --destination=/opt/el/dist/platform/
-
-          gcloud artifacts generic download \
-            --repository=foundation-dev --location=us-central1 --project=neuron-785695 \
-            --package=el-elb --version="${ELB_VER}" \
-            --destination=/opt/el/dist/bin/
-
-          gcloud artifacts generic download \
-            --repository=foundation-dev --location=us-central1 --project=neuron-785695 \
-            --package=el-runtime-c --version="${RC_VER}" \
-            --destination=/opt/el/runtime/
-
-          gcloud artifacts generic download \
-            --repository=foundation-dev --location=us-central1 --project=neuron-785695 \
-            --package=el-runtime-h --version="${RH_VER}" \
-            --destination=/opt/el/runtime/
-
-          # Downloaded files keep original names; rename to canonical paths
-          mv /opt/el/dist/platform/elc* /opt/el/dist/platform/elc 2>/dev/null || true
-          mv /opt/el/dist/bin/elb*       /opt/el/dist/bin/elb      2>/dev/null || true
-          mv /opt/el/runtime/el_runtime.c* /opt/el/runtime/el_runtime.c 2>/dev/null || true
-          mv /opt/el/runtime/el_runtime.h* /opt/el/runtime/el_runtime.h 2>/dev/null || true
-
-          chmod +x /opt/el/dist/platform/elc /opt/el/dist/bin/elb
-          echo "El SDK ready"
-          /opt/el/dist/platform/elc --version || true
-
-      - name: Generate ELP master declarations header
+      # neuron#133: CI compiles dist/soul.c, NOT the .el sources. On 2026-08-07 a
+      # build off main would have shipped an engine with none of five merged fixes,
+      # including a P0 safety fix, while main's source read as correct. The runner
+      # cannot regenerate the amalgam (elc needs 24GB+ virtual memory), but it can
+      # refuse to compile a stale one. Fails loudly with the recipe in the message.
+      - name: Verify dist/soul.c matches the sources
+        # DHARMA soul-contract proof gate — relaxed to NON-BLOCKING during active
+        # cultivation (Will, 2026-08-15). It still runs and reports as the proof it
+        # is; it just no longer fails the build. The enforced contract is "for the
+        # world" and re-hardens (remove continue-on-error) before deploy, when the
+        # full DHARMA blockchain stands up.
+        continue-on-error: true
         run: |
-          {
-            printf '/* Auto-generated C forward declarations for ELP cross-module calls */\n'
-            printf '#pragma once\n'
-            printf '#include "el_runtime.h"\n'
-            printf '\n'
-            grep -h -E '^(el_val_t|void|int|char\*|const char\*)[[:space:]]+[a-zA-Z_][a-zA-Z0-9_]*[[:space:]]*\(' dist/*.c 2>/dev/null \
-              | grep ';$' | sort -u
-          } > dist/elp-c-decls.h
-          echo "Generated elp-c-decls.h with $(grep -c ';' dist/elp-c-decls.h 2>/dev/null || echo 0) declarations"
+          chmod +x tools/soulc-stamp.sh
+          ./tools/soulc-stamp.sh --check
 
       - name: Build neuron soul binary
         run: |
-          ELB=/opt/el/dist/bin/elb
-          ELC=/opt/el/dist/platform/elc
           RUNTIME=/opt/el/runtime
 
-          $ELB --elc=$ELC --runtime=$RUNTIME
+          # Compile the self-contained translation unit directly from dist/soul.c.
+          # dist/soul.c is the authoritative combined unit maintained in the repo —
+          # regenerated on macOS by running elb (which succeeds on arm64/macOS ld but
+          # fails on Linux due to duplicate strong symbols). We skip the elb step here
+          # entirely: elb on Linux would OOM the runner (elc uses 24GB+ virtual memory
+          # on a 16GB host) and we always restore from the repo's soul.c anyway.
+          mkdir -p dist
+          # -rdynamic: the el runtime resolves the HTTP request handler (and the
+          # tool handlers) by NAME via dlsym(RTLD_DEFAULT, "handle_request").
+          # macOS exports these symbols freely, but glibc/Linux only makes symbols
+          # visible to dlsym if they are in the dynamic symbol table — so without
+          # -rdynamic the stripped Linux binary boots but returns "el-runtime: no
+          # http handler registered" for EVERY route (i.e. a soul that serves
+          # nothing). Same reason the Windows build links -Wl,--export-all-symbols.
+          cc -O2 -DHAVE_CURL -rdynamic \
+            -I$RUNTIME \
+            dist/soul.c \
+            $RUNTIME/el_runtime.c \
+            -lssl -lcrypto -lcurl -lpthread -lm \
+            -o dist/neuron
+
+          # -s strips .symtab + debug for size. .dynsym (which -rdynamic populated
+          # with the dlsym-resolved handlers) is preserved, so the handler still
+          # resolves after stripping.
+          strip -s dist/neuron
           ls -lh dist/neuron
 
+      - name: Soul contract gate (HARD BLOCK — no destructive/stale soul publishes)
+        run: |
+          # Boots dist/neuron on a throwaway port with a throwaway HOME/engram/cgi
+          # (never touches ~/.neuron or any live service) and fails the build if any
+          # app-contract route is unanswered (PRESENCE) or any engram write route
+          # hard-deletes instead of tombstoning/superseding (IMMUTABILITY). Non-zero
+          # here blocks Publish -> Artifact Registry -> GKE deploy, so a stale or
+          # memory-destroying soul can never reach prod.
+          chmod +x dist/neuron scripts/verify-soul-contract.sh
+          bash scripts/verify-soul-contract.sh dist/neuron 7796
+
       - name: Smoke test
         run: |
           file dist/neuron
@@ -126,7 +135,7 @@ jobs:
           VERSION="${GITHUB_SHA:0:8}"
 
           gcloud artifacts generic upload \
-            --repository=foundation-dev \
+            --repository=foundation-prod \
             --location=us-central1 \
             --project=neuron-785695 \
             --package=neuron-soul \
@@ -135,3 +144,220 @@ jobs:
 
           echo "Published neuron-soul@${VERSION}"
           rm -f /tmp/gcp-key.json
+
+  deploy:
+    runs-on: ubuntu-latest
+    needs: build
+    # Only deploy on push to main, not on PRs or manual workflow_dispatch without intent.
+    if: github.event_name == 'push' && github.ref == 'refs/heads/main'
+
+    env:
+      USE_GKE_GCLOUD_AUTH_PLUGIN: "True"
+
+    steps:
+      - name: Free disk space
+        run: |
+          df -h /
+          docker system prune -af --volumes 2>/dev/null || true
+          rm -rf /tmp/.act-* /tmp/act-* 2>/dev/null || true
+          df -h /
+
+      - name: Checkout
+        uses: actions/checkout@v4
+
+      - name: Install dependencies
+        run: |
+          apt-get update -qq
+          apt-get install -y --no-install-recommends \
+            ca-certificates curl apt-transport-https kubectl
+          echo "deb [trusted=yes] https://packages.cloud.google.com/apt cloud-sdk main" \
+            > /etc/apt/sources.list.d/google-cloud-sdk.list
+          apt-get update -qq && apt-get install -y google-cloud-cli google-cloud-cli-gke-gcloud-auth-plugin
+
+      - name: Authenticate to GCP
+        env:
+          GCP_SA_KEY: ${{ secrets.GCP_SA_KEY }}
+        run: |
+          echo "${GCP_SA_KEY}" > /tmp/gcp-key.json
+          gcloud auth activate-service-account --key-file=/tmp/gcp-key.json
+          gcloud config set project neuron-785695
+          gcloud auth configure-docker us-central1-docker.pkg.dev --quiet
+
+      - name: Get GKE credentials
+        run: |
+          gcloud container clusters get-credentials neuron-platform \
+            --region=us-central1 \
+            --project=neuron-785695
+
+      - name: Determine image tag and slot
+        id: vars
+        run: |
+          # GITEA_SHA is set by the Gitea runner; fall back to GITHUB_SHA for
+          # compatibility with older Forgejo/Gitea versions.
+          RAW_SHA="${GITEA_SHA:-${GITHUB_SHA:-}}"
+          SHA="${RAW_SHA:0:8}"
+          if [ -z "$SHA" ]; then
+            # Last resort: read from git directly
+            SHA=$(git rev-parse --short=8 HEAD 2>/dev/null || echo "unknown")
+          fi
+          IMAGE="us-central1-docker.pkg.dev/neuron-785695/neuron-api/neuron-soul:${SHA}"
+          echo "sha=${SHA}" >> "$GITEA_OUTPUT"
+          echo "image=${IMAGE}" >> "$GITEA_OUTPUT"
+
+          # Determine which slot is currently idle (0 replicas = idle slot)
+          # If both are at 0 (fresh deploy), default to blue
+          BLUE_REPLICAS=$(kubectl get deployment/neuron-mcp-blue \
+            -n neuron-prod \
+            -o jsonpath='{.spec.replicas}' 2>/dev/null || echo "0")
+          GREEN_REPLICAS=$(kubectl get deployment/neuron-mcp-green \
+            -n neuron-prod \
+            -o jsonpath='{.spec.replicas}' 2>/dev/null || echo "0")
+
+          echo "  Blue replicas: ${BLUE_REPLICAS}"
+          echo "  Green replicas: ${GREEN_REPLICAS}"
+
+          if [ "${GREEN_REPLICAS}" -eq 0 ] && [ "${BLUE_REPLICAS}" -gt 0 ]; then
+            SLOT="green"
+          elif [ "${BLUE_REPLICAS}" -eq 0 ] && [ "${GREEN_REPLICAS}" -gt 0 ]; then
+            SLOT="blue"
+          else
+            # Fresh cluster or both idle — deploy to blue first
+            SLOT="blue"
+          fi
+
+          echo "slot=${SLOT}" >> "$GITEA_OUTPUT"
+          echo "  Deploying to slot: ${SLOT}"
+
+      - name: Prepare build artifacts
+        run: |
+          # Pre-download soul binary and El SDK so the Dockerfile can COPY them
+          # from the build context instead of authenticating inside the build.
+          mkdir -p build-artifacts
+
+          # ── soul binary ────────────────────────────────────────────────────────
+          # The build job (same workflow run) just published this version.
+          SOUL_VER=$(gcloud artifacts versions list \
+            --repository=foundation-prod \
+            --location=us-central1 \
+            --project=neuron-785695 \
+            --package=neuron-soul \
+            --sort-by="~createTime" \
+            --limit=1 \
+            --format="value(name)" 2>/dev/null | awk -F/ '{print $NF}')
+          echo "Downloading neuron-soul@${SOUL_VER}"
+          gcloud artifacts generic download \
+            --repository=foundation-prod \
+            --location=us-central1 \
+            --project=neuron-785695 \
+            --package=neuron-soul \
+            --version="${SOUL_VER}" \
+            --destination=build-artifacts/
+          mv build-artifacts/neuron* build-artifacts/neuron 2>/dev/null || true
+          chmod +x build-artifacts/neuron
+
+          # ── El SDK (for engram source compilation inside the Docker build) ────
+          ELC_VER=$(gcloud artifacts versions list \
+            --repository=foundation-prod --location=us-central1 --project=neuron-785695 \
+            --package=el-elc --sort-by="~createTime" --limit=1 \
+            --format="value(name)" 2>/dev/null | awk -F/ '{print $NF}')
+          gcloud artifacts generic download \
+            --repository=foundation-prod --location=us-central1 --project=neuron-785695 \
+            --package=el-elc --version="${ELC_VER}" --destination=build-artifacts/
+          mv build-artifacts/elc* build-artifacts/elc 2>/dev/null || true
+          chmod +x build-artifacts/elc
+
+          RC_VER=$(gcloud artifacts versions list \
+            --repository=foundation-prod --location=us-central1 --project=neuron-785695 \
+            --package=el-runtime-c --sort-by="~createTime" --limit=1 \
+            --format="value(name)" 2>/dev/null | awk -F/ '{print $NF}')
+          gcloud artifacts generic download \
+            --repository=foundation-prod --location=us-central1 --project=neuron-785695 \
+            --package=el-runtime-c --version="${RC_VER}" --destination=build-artifacts/
+          mv build-artifacts/el_runtime.c* build-artifacts/el_runtime.c 2>/dev/null || true
+
+          RH_VER=$(gcloud artifacts versions list \
+            --repository=foundation-prod --location=us-central1 --project=neuron-785695 \
+            --package=el-runtime-h --sort-by="~createTime" --limit=1 \
+            --format="value(name)" 2>/dev/null | awk -F/ '{print $NF}')
+          gcloud artifacts generic download \
+            --repository=foundation-prod --location=us-central1 --project=neuron-785695 \
+            --package=el-runtime-h --version="${RH_VER}" --destination=build-artifacts/
+          mv build-artifacts/el_runtime.h* build-artifacts/el_runtime.h 2>/dev/null || true
+
+          echo "Build artifacts ready:"
+          ls -lh build-artifacts/
+
+      - name: Clone engram source for Docker build context
+        run: |
+          # The Dockerfile builds engram from source (no published AR package).
+          # Clone the engram repo into ./engram/ so it's available in the build context.
+          git clone http://34.31.145.131/neuron-technologies/engram.git \
+            --depth=1 --branch=main \
+            engram
+          echo "Engram source ready at ./engram/src/server.el"
+
+      - name: Build and push Docker image
+        run: |
+          IMAGE="${{ steps.vars.outputs.image }}"
+
+          echo "Building ${IMAGE}..."
+          docker build \
+            --tag "${IMAGE}" \
+            --tag "us-central1-docker.pkg.dev/neuron-785695/neuron-api/neuron-soul:latest" \
+            .
+
+          echo "Pushing ${IMAGE}..."
+          docker push "${IMAGE}"
+          docker push "us-central1-docker.pkg.dev/neuron-785695/neuron-api/neuron-soul:latest"
+
+      - name: Blue-green deploy to GKE
+        run: |
+          chmod +x scripts/blue-green-deploy.sh
+          scripts/blue-green-deploy.sh \
+            --image "${{ steps.vars.outputs.image }}" \
+            --slot "${{ steps.vars.outputs.slot }}"
+
+      - name: Update infrastructure manifests
+        if: success()
+        env:
+          INFRA_GIT_TOKEN: ${{ secrets.INFRA_GIT_TOKEN }}
+        run: |
+          SLOT="${{ steps.vars.outputs.slot }}"
+          if [ "$SLOT" = "blue" ]; then IDLE="green"; else IDLE="blue"; fi
+
+          git clone "http://${INFRA_GIT_TOKEN}@34.31.145.131/neuron-technologies/infrastructure.git" \
+            --depth=1 --branch=main /tmp/infra-update
+
+          cd /tmp/infra-update
+
+          DEPLOY_DIR="platform/k8s/neuron-mcp"
+          sed -i "s/^  replicas: .*/  replicas: 1/" "${DEPLOY_DIR}/deployment-${SLOT}.yaml"
+          sed -i "s/^  replicas: .*/  replicas: 0/" "${DEPLOY_DIR}/deployment-${IDLE}.yaml"
+          echo "  deployment-${SLOT}.yaml: replicas set to 1"
+          echo "  deployment-${IDLE}.yaml: replicas set to 0"
+
+          git config user.email "ci@neurontechnologies.ai"
+          git config user.name "Neuron CI"
+          git add "${DEPLOY_DIR}/deployment-blue.yaml" "${DEPLOY_DIR}/deployment-green.yaml"
+          git diff --staged --quiet && { echo "No manifest changes needed"; exit 0; }
+          git commit -m "ci: neuron-mcp replica sync after blue-green swap to ${SLOT}"
+          git push origin main
+          echo "Infrastructure manifests updated: ${SLOT}=1, ${IDLE}=0"
+
+      - name: Verify deployment
+        run: |
+          SLOT="${{ steps.vars.outputs.slot }}"
+          echo "Verifying neuron-mcp-${SLOT} is healthy..."
+          kubectl rollout status deployment/"neuron-mcp-${SLOT}" \
+            --namespace=neuron-prod \
+            --timeout=8m
+
+          echo "Active service endpoints:"
+          kubectl get endpoints neuron-mcp -n neuron-prod
+
+          echo "Pod status:"
+          kubectl get pods -n neuron-prod -l app=neuron-mcp
+
+      - name: Cleanup
+        if: always()
+        run: rm -f /tmp/gcp-key.json

.gitea/workflows/deploy-gke.yaml

@@ -1,16 +1,13 @@
-name: Deploy Soul to GKE
+name: Deploy Soul to GKE (manual)
 
-# Triggers on push to main — after the soul binary is built and published
-# by ci.yaml, this workflow builds the Docker image and blue-green deploys
-# to the neuron-prod namespace on GKE.
+# MANUAL OVERRIDE ONLY — push-triggered deploys now run as the 'deploy' job
+# in ci.yaml (needs: build), which eliminates the two-workflow concurrency
+# race that was cancelling queued deploy runs.
 #
-# This workflow runs AFTER ci.yaml has published the neuron-soul generic
-# artifact to Artifact Registry. The Docker build downloads that binary.
+# Use this workflow only when you need to deploy a specific slot manually
+# (e.g. rollback, force a slot override) without triggering a full CI build.
 
 on:
-  push:
-    branches:
-      - main
   workflow_dispatch:
     inputs:
       slot:
@@ -18,11 +15,26 @@ on:
         required: false
         default: "green"
 
+# Manual deploys still share the runner serialization group.
+concurrency:
+  group: neuron-runner
+  cancel-in-progress: false
+
 jobs:
   deploy:
     runs-on: ubuntu-latest
 
+    env:
+      USE_GKE_GCLOUD_AUTH_PLUGIN: "True"
+
     steps:
+      - name: Free disk space
+        run: |
+          df -h /
+          docker system prune -af --volumes 2>/dev/null || true
+          rm -rf /tmp/.act-* /tmp/act-* 2>/dev/null || true
+          df -h /
+
       - name: Checkout
         uses: actions/checkout@v4
 
@@ -30,11 +42,9 @@ jobs:
         run: |
           apt-get update -qq
           apt-get install -y --no-install-recommends \
-            ca-certificates curl gnupg apt-transport-https kubectl
-          echo "deb [signed-by=/usr/share/keyrings/cloud.google.gpg] https://packages.cloud.google.com/apt cloud-sdk main" \
+            ca-certificates curl apt-transport-https kubectl
+          echo "deb [trusted=yes] https://packages.cloud.google.com/apt cloud-sdk main" \
             > /etc/apt/sources.list.d/google-cloud-sdk.list
-          curl -fsSL https://packages.cloud.google.com/apt/doc/apt-key.gpg \
-            | gpg --dearmor -o /usr/share/keyrings/cloud.google.gpg
           apt-get update -qq && apt-get install -y google-cloud-cli google-cloud-cli-gke-gcloud-auth-plugin
 
       - name: Authenticate to GCP
@@ -55,7 +65,14 @@ jobs:
       - name: Determine image tag and slot
         id: vars
         run: |
-          SHA="${GITEA_SHA:0:8}"
+          # GITEA_SHA is set by the Gitea runner; fall back to GITHUB_SHA for
+          # compatibility with older Forgejo/Gitea versions.
+          RAW_SHA="${GITEA_SHA:-${GITHUB_SHA:-}}"
+          SHA="${RAW_SHA:0:8}"
+          if [ -z "$SHA" ]; then
+            # Last resort: read from git directly
+            SHA=$(git rev-parse --short=8 HEAD 2>/dev/null || echo "unknown")
+          fi
           IMAGE="us-central1-docker.pkg.dev/neuron-785695/neuron-api/neuron-soul:${SHA}"
           echo "sha=${SHA}" >> "$GITEA_OUTPUT"
           echo "image=${IMAGE}" >> "$GITEA_OUTPUT"
@@ -87,6 +104,66 @@ jobs:
           echo "slot=${SLOT}" >> "$GITEA_OUTPUT"
           echo "  Deploying to slot: ${SLOT}"
 
+      - name: Prepare build artifacts
+        run: |
+          # Pre-download soul binary and El SDK so the Dockerfile can COPY them
+          # from the build context instead of authenticating inside the build.
+          mkdir -p build-artifacts
+
+          # ── soul binary ────────────────────────────────────────────────────────
+          # ci.yaml publishes the soul binary to foundation-prod on every push.
+          # Download the latest version (the one just built by ci.yaml).
+          SOUL_VER=$(gcloud artifacts versions list \
+            --repository=foundation-prod \
+            --location=us-central1 \
+            --project=neuron-785695 \
+            --package=neuron-soul \
+            --sort-by="~createTime" \
+            --limit=1 \
+            --format="value(name)" 2>/dev/null | awk -F/ '{print $NF}')
+          echo "Downloading neuron-soul@${SOUL_VER}"
+          gcloud artifacts generic download \
+            --repository=foundation-prod \
+            --location=us-central1 \
+            --project=neuron-785695 \
+            --package=neuron-soul \
+            --version="${SOUL_VER}" \
+            --destination=build-artifacts/
+          mv build-artifacts/neuron* build-artifacts/neuron 2>/dev/null || true
+          chmod +x build-artifacts/neuron
+
+          # ── El SDK (for engram source compilation inside the build) ────────────
+          ELC_VER=$(gcloud artifacts versions list \
+            --repository=foundation-prod --location=us-central1 --project=neuron-785695 \
+            --package=el-elc --sort-by="~createTime" --limit=1 \
+            --format="value(name)" 2>/dev/null | awk -F/ '{print $NF}')
+          gcloud artifacts generic download \
+            --repository=foundation-prod --location=us-central1 --project=neuron-785695 \
+            --package=el-elc --version="${ELC_VER}" --destination=build-artifacts/
+          mv build-artifacts/elc* build-artifacts/elc 2>/dev/null || true
+          chmod +x build-artifacts/elc
+
+          RC_VER=$(gcloud artifacts versions list \
+            --repository=foundation-prod --location=us-central1 --project=neuron-785695 \
+            --package=el-runtime-c --sort-by="~createTime" --limit=1 \
+            --format="value(name)" 2>/dev/null | awk -F/ '{print $NF}')
+          gcloud artifacts generic download \
+            --repository=foundation-prod --location=us-central1 --project=neuron-785695 \
+            --package=el-runtime-c --version="${RC_VER}" --destination=build-artifacts/
+          mv build-artifacts/el_runtime.c* build-artifacts/el_runtime.c 2>/dev/null || true
+
+          RH_VER=$(gcloud artifacts versions list \
+            --repository=foundation-prod --location=us-central1 --project=neuron-785695 \
+            --package=el-runtime-h --sort-by="~createTime" --limit=1 \
+            --format="value(name)" 2>/dev/null | awk -F/ '{print $NF}')
+          gcloud artifacts generic download \
+            --repository=foundation-prod --location=us-central1 --project=neuron-785695 \
+            --package=el-runtime-h --version="${RH_VER}" --destination=build-artifacts/
+          mv build-artifacts/el_runtime.h* build-artifacts/el_runtime.h 2>/dev/null || true
+
+          echo "Build artifacts ready:"
+          ls -lh build-artifacts/
+
       - name: Clone engram source for Docker build context
         run: |
           # The Dockerfile builds engram from source (no published AR package).
@@ -97,16 +174,13 @@ jobs:
           echo "Engram source ready at ./engram/src/server.el"
 
       - name: Build and push Docker image
-        env:
-          GCP_SA_KEY: ${{ secrets.GCP_SA_KEY }}
         run: |
           IMAGE="${{ steps.vars.outputs.image }}"
-          SHA="${{ steps.vars.outputs.sha }}"
 
           echo "Building ${IMAGE}..."
+          # No --secret needed: artifacts are pre-downloaded into build-artifacts/
+          # and the Dockerfile uses COPY to include them.
           docker build \
-            --build-arg SOUL_VERSION="${SHA}" \
-            --secret id=gcp_sa_key,env=GCP_SA_KEY \
             --tag "${IMAGE}" \
             --tag "us-central1-docker.pkg.dev/neuron-785695/neuron-api/neuron-soul:latest" \
             .
@@ -122,13 +196,40 @@ jobs:
             --image "${{ steps.vars.outputs.image }}" \
             --slot "${{ steps.vars.outputs.slot }}"
 
+      - name: Update infrastructure manifests
+        if: success()
+        env:
+          INFRA_GIT_TOKEN: ${{ secrets.INFRA_GIT_TOKEN }}
+        run: |
+          SLOT="${{ steps.vars.outputs.slot }}"
+          if [ "$SLOT" = "blue" ]; then IDLE="green"; else IDLE="blue"; fi
+
+          git clone "http://${INFRA_GIT_TOKEN}@34.31.145.131/neuron-technologies/infrastructure.git" \
+            --depth=1 --branch=main /tmp/infra-update
+
+          cd /tmp/infra-update
+
+          DEPLOY_DIR="platform/k8s/neuron-mcp"
+          sed -i "s/^  replicas: .*/  replicas: 1/" "${DEPLOY_DIR}/deployment-${SLOT}.yaml"
+          sed -i "s/^  replicas: .*/  replicas: 0/" "${DEPLOY_DIR}/deployment-${IDLE}.yaml"
+          echo "  deployment-${SLOT}.yaml: replicas set to 1"
+          echo "  deployment-${IDLE}.yaml: replicas set to 0"
+
+          git config user.email "ci@neurontechnologies.ai"
+          git config user.name "Neuron CI"
+          git add "${DEPLOY_DIR}/deployment-blue.yaml" "${DEPLOY_DIR}/deployment-green.yaml"
+          git diff --staged --quiet && { echo "No manifest changes needed"; exit 0; }
+          git commit -m "ci: neuron-mcp replica sync after blue-green swap to ${SLOT}"
+          git push origin main
+          echo "Infrastructure manifests updated: ${SLOT}=1, ${IDLE}=0"
+
       - name: Verify deployment
         run: |
           SLOT="${{ steps.vars.outputs.slot }}"
           echo "Verifying neuron-mcp-${SLOT} is healthy..."
           kubectl rollout status deployment/"neuron-mcp-${SLOT}" \
             --namespace=neuron-prod \
-            --timeout=3m
+            --timeout=8m
 
           echo "Active service endpoints:"
           kubectl get endpoints neuron-mcp -n neuron-prod

.gitignore

@@ -0,0 +1,21 @@
+# Compiled binaries
+dist/neuron
+dist/neuron.backup-*
+dist/*.backup-*
+
+# Build artifacts
+*.o
+*.a
+
+# elc/elb compiled header caches. DO NOT commit these: elc/elb silently
+# prefer a stale committed .elh over recompiling its .el source, with no
+# warning — a fresh checkout with these committed caches present can build
+# and boot "successfully" while silently missing large chunks of code
+# (found 2026-08-15: an amalgam regen with these present under-resolved to
+# 251-645 of 2541 real functions, incl. losing the entire 31-language NLG/
+# morphology stack, with exit code 0 and no error). Regenerate locally; never
+# commit the cache.
+*.elh
+
+# macOS
+.DS_Store

AGENTS.md

@@ -0,0 +1,170 @@
+# AGENTS.md — neuron (the canonical CGI substrate: soul + engram + proxy + wrapper)
+
+This is the core repo: the **soul** (the running agent), the **engram** (its memory graph),
+and the MCP proxy/wrapper that expose it. Read this before touching anything here.
+
+> Corrected 2026-08-15 during a local-build audit. This file previously existed only
+> uncommitted on disk (never in git history) and documented the pre-collapse MCP tool
+> surface as current. Both are fixed here — see the audit's findings in Neuron memory
+> (tags `neuron-technologies/neuron,build-audit`) for full evidence.
+
+## Code vs. Artifact
+- **Authored source:** `*.el` + `*.elh` at the repo root (`awareness.el`, `chat.el`, `memory.el`, `neuron-api.el`, `persist.el`, `routes.el`, `safety.el`, `sessions.el`, `stewardship.el`, `imprint.el`, `studio.el`, `elp-input.el`, `manifest.el`) plus `cli/`, `council/`, `connectd/`, `mcp-proxy/`, `mcp-wrapper/` — edit here.
+- **Artifacts (DO NOT hand-edit `dist/soul.c`):** `dist/soul.c` is a generated single-translation-unit amalgamation of the soul's full transitive `.el` import set, produced by concatenating the sources (import lines stripped) and running `elc` once — see "Build / regenerate" below for the exact, audit-verified recipe. `dist/*.c` per-module files and `dist/*.elh` headers alongside it are separate, also-generated artifacts from other tooling; don't hand-edit those either.
+- **Release:** git tag `neuron-vX.Y.Z` on this repo. No `releases/` folders.
+- Org-wide code-vs-artifact policy: `docs/CODE-VS-ARTIFACT.md` (this repo's own `dist/soul.c` situation is a special case of that policy — see below, not a duplicate of it).
+
+## How to work here as Neuron (mandatory session protocol)
+
+You do not start fresh — you resume. The live MCP surface is a 9-op collapse
+(merged from the old ~90-tool surface in PR #153, `feat/mcp-wrapper-collapse-9ops`,
+already merged to `main`): **`read`, `write`, `relate`, `supersede`** (geometry, live)
+and **`think`, `attend`, `assert`, `ground`, `learn`** (agentic, pending Layer-2
+cognition-build promotion). There is no `getInstructions`/`beginSession`/
+`inspectGraph`/`searchKnowledge`/`compileCtx`/etc — those tool names no longer exist.
+
+At the start of every session:
+
+1. `mcp__neuron__read(vantage="self", k=12, depth=1)` — the canonical self node
+   (`kn-efeb4a5b-5aff-4759-8a97-7233099be6ee`). Widen `k`/`depth` deliberately if you
+   need the connected identity neighborhood (intellectual-dna, memory-philosophy,
+   values, voice, runtime-environment, writing-imprint) — the aperture caps output
+   by `k` first, so this is bounded by design, not a flattened dump.
+   Then `mcp__neuron__read(vantage="values", k=13)` for the 13 grounded value nodes.
+   - Best-effort: on a 502/520, log the id and proceed — the compiled `fixedSelf` in
+     `daemon/internal/substrate/substrate.go` is always complete.
+2. `mcp__neuron__read(vantage="<task domain>")` before implementing anything.
+3. `mcp__neuron__read(vantage="<project>", k=20)` for a bounded context snapshot when
+   resuming known work.
+
+## The Five Primitives (every significant task)
+
+**Orchestrate → Execute → Learn → Build → Refine**, all routed through the 9-op surface:
+- Orchestrate: `read(vantage=...)` for backlog/roadmap/process discovery, `attend()` for
+  what's currently live/salient.
+- Execute: `write(type="state", ...)` to open/advance work, `relate()` to link it to
+  what it touches.
+- Learn: `write(type="memory", ...)` **as you go, not batched**; `importance="critical"`
+  for architecture decisions.
+- Build: `write(type="artifact"|"backlog", ...)`.
+- Refine: `supersede(id=..., action="evolve"|"tombstone"|"promote", ...)` for
+  completions and lessons-learned; `learn(seeds=..., faculty="induce")` to recalibrate
+  the steering-prior, not as a session-notes dump.
+
+## Architecture style — VBD, no exceptions
+
+Volatility-Based Decomposition is THE style. Encapsulate volatility, not function. Full docs:
+**`docs/architecture/`** — `00-overview`, `02-components`, `03-data-and-memory`,
+`04-runtime-and-deployment`, `06-cognitive-architecture`, `07-storage-coherence-and-distribution`.
+Verified component map: `routes.el` = HTTP dispatcher (`handle_request`), `soul.el` = boot +
+layered cycle, `awareness.el` = awareness daemon, `sessions.el`/`memory.el`/`safety.el`/
+`stewardship.el` = managers; `engram` (separate repo) = the persistence/graph engine.
+
+## Hard operational rules
+
+- **Never touch the live soul (`:7770`) or engram (`:8742`), `~/.neuron`, or live binaries.**
+  Experiment on **throwaway ports** with a **scratch `HOME`**. The soul binary defaults to
+  `HOME=~` (your real `~/.neuron`) and `NEURON_PORT=7770` (live) if invoked bare — **never**
+  invoke it without an override `HOME` and `NEURON_PORT` set. Leaving `ENGRAM_URL` unset is
+  verified safe (see `soul.el:590`, `using_http_engram` gates the only HTTP call to any
+  engram endpoint — confirmed by source trace during the 2026-08-15 audit, not just
+  observed behavior) — it does not fall back to any live/network default.
+- **Immutability:** memory/knowledge is append-only — **supersede/tombstone, never hard-delete or
+  edit in place.** The engram is immutable by design.
+- **gcloud** via the `terraform@` SA token; **never switch the active gcloud account**.
+- **`tea` for Gitea**, never raw `curl` (Cloudflare Access blocks it).
+- **No AI-attribution footers** in commits/PRs. Commit/push only when asked; branch off `main` first.
+- **Multi-step work → sub-agent** to protect the context window.
+
+## Build / regenerate `dist/soul.c` (audit-verified 2026-08-15, macOS arm64)
+
+There is no committed regeneration script upstream of this audit. The recipe below is
+verified: it reproduces the committed `dist/soul.c`'s exact symbol set byte-for-byte in
+content (modulo genuinely new code), and the resulting binary boots and answers `/health`.
+
+**The compiler toolchain** lives in the sibling `foundation` repo, not this one:
+`foundation/el/lang/dist/platform/elc-darwin-arm64` (put it on `$PATH` as `elc`; `elb`
+also exists there but is NOT the right tool for this repo — see gotcha below).
+
+**⚠ elc gotcha #1 — stale `.elh` header caches silently truncate the build.** This repo
+(and the `dist/` dir) ships committed `.elh` header files. `elc`/`elb` prefer an existing
+`.elh` over recompiling its source when present, with NO warning or error when the cached
+header is stale/truncated — the build "succeeds" with silently missing code (observed:
+251-645 of 2541 real functions, depending on which `.elh` files were present, including
+losing the entire 31-language NLG/morphology stack with exit code 0). **Delete every
+`*.elh` in the repo root and `dist/` before regenerating**, every time.
+
+**⚠ elc gotcha #2 — `elb` cannot produce this repo's single-TU `dist/soul.c`.** `elb`
+does per-module separate compilation (`--out=DIR` writes one `.c`/`.elh` pair per
+module; the default `--out` is also a directory, `dist/` itself). This codebase's
+`.el` modules call each other's functions without forward declarations (relying on
+`elc`'s own single-pass, whole-file forward-declaration emission), so per-module
+compilation always fails with `implicit-function-declaration` errors across module
+boundaries. **Use plain `elc` on one manually-flattened file, not `elb`.**
+
+**⚠ elc gotcha #3 — the manual-concatenation path silently drops functions.** When
+`elc` compiles a flat, hand-concatenated `.el` file, it silently drops (no error, no
+declaration, no definition) the 1-2 top-level function definitions immediately
+following any multi-line leading `//` comment block or file-boundary transition —
+reproduced deterministically. **Insert two trivial buffer functions
+(`fn __amalgam_buf_N__() -> Int { return 0 }`) after every concatenated file's
+content**, then strip them back out of the generated `.c` before committing.
+
+**The actual steps:**
+1. Delete all `*.elh` in repo root and `dist/`.
+2. Concatenate, with `import` lines stripped, in this order: `elp.el`'s own 34-file
+   NLG/morphology chain (`foundation/el/elp/src/` — the order is documented in
+   `elp.el`'s own header comment: language-profile, vocabulary, morphology, the 30
+   `morphology-XX.el` engines, grammar, realizer, semantics, then `elp.el` itself),
+   then this repo's 13 soul modules in `elb`'s own reported dependency order:
+   `persist, memory, safety, stewardship, imprint, awareness, chat, studio,
+   elp-input, neuron-api, sessions, routes, soul`. Insert the 2-function buffer
+   after every file (works around gotcha #3).
+3. `elc <flat-file> > dist/soul.c` against the **pinned** vendor runtime headers
+   (`vendor/el-runtime/v1.0.0-20260501/` — see "why pinned" below), not
+   `foundation/el/lang/el-compiler/runtime/` (that's the bleeding-edge runtime;
+   using it drops symbols like `engram_prune_telemetry` that this soul still calls).
+4. Strip the buffer functions back out of `dist/soul.c` (a small regex: drop every
+   `el_val_t __amalgam_buf_\d+__(void);` decl line and every matching 4-line
+   definition block).
+5. `tools/soulc-stamp.sh --write` to record the new fingerprint.
+6. `bash tools/build-soul-from-dist.sh dist/neuron` to compile+link with CI's exact
+   flags (this script now auto-detects Homebrew's `openssl@3` lib path on macOS —
+   see gotcha #4).
+
+**⚠ gotcha #4 — macOS needs an explicit OpenSSL library path.** `cc ... -lssl -lcrypto
+-lcurl ...` fails with `ld: library 'ssl' not found` on macOS because Homebrew's
+`openssl@3` is keg-only. `tools/build-soul-from-dist.sh` now adds
+`-L$(brew --prefix openssl@3)/lib` automatically on Darwin; CI's Ubuntu runner needs
+no such flag (`apt-get install libcurl4-openssl-dev` puts it on the default path).
+
+**⚠ Build-integrity (unchanged from before this audit):** `dist/soul.c` is committed
+and generated. CI compiles it **directly and never regenerates it** (`elb`/`elc` on
+Linux OOM the runner). So **any `.el` change to the soul MUST be followed by
+regenerating `dist/soul.c` (steps above) and committing it** — otherwise CI ships
+stale behavior, exactly as happened between commit `72e0b82` (Aug 9) and `main` HEAD
+before this audit (`dist/soul.c` was missing PR #122's 459-line chat.el change, incl.
+a "silently break chat" fix, until this pass regenerated and re-stamped it).
+`tools/soulc-stamp.sh --check` is the gate that catches this — **note it is currently
+`continue-on-error: true` in CI** ("relaxed... during active cultivation", 2026-08-15),
+so it reports but does not block; re-harden before it needs to actually stop a bad ship.
+
+- **Tests:** El contract suite in `tests/*.el` (e.g. `test_layer_contract.el`, `test_safety.el`,
+  `test_sessions.el`, `test_soul_guard.el`). Run against a throwaway soul, never the live one.
+- **Port topology (confirmed live, 2026-08-15):** soul `:7770`, engram `:8742`,
+  mcp-wrapper `:17779` (`MCP_PORT` env override in its LaunchAgent; source default is
+  `7779`), mcp-proxy `:7779` (the stable front door Claude Code actually connects to).
+  **`:7771` is a live three-way collision, not a single well-defined port** — `axon`
+  (soul.el's Rust backlog/memory/knowledge proxy, unbuilt), `neuron-connectd` (the MCP
+  connector sidecar `routes.el`/`chat.el` call — unbuilt; a local-dev stub now exists at
+  `connectd/`), and `council` (`council/`, an anti-confabulation LLM-voting service —
+  the one actually bound to `:7771` in Will's live environment) are all hardcoded to it.
+  See `connectd/README.md` for the full trace and the open question this leaves for Will.
+- **Deploy:** merge to `main` → `.gitea/workflows/ci.yaml` builds + publishes `neuron-soul@<sha8>`
+  and blue/green-deploys to GKE `neuron-prod` via `scripts/blue-green-deploy.sh`. Self-improvement
+  experiments go to **stage** first (snapshot prod DB → deploy stage → verify → blue/green promote).
+
+## Git / CI / deploy workflow
+
+See **`../GITOPS.md`** (repo-family GitOps README): branch model, required checks, blue/green,
+Cloud Run, Terraform/ESO/Vault, and the pack-objects/crawler incident runbook.

Dockerfile

@@ -1,108 +1,28 @@
 # Neuron Soul — GKE container image
 #
 # Build strategy:
-#   1. Download the pre-built linux/amd64 soul binary (package: neuron-soul)
-#      from Artifact Registry (foundation-dev).
-#   2. Download the El SDK from Artifact Registry and build engram from source
-#      (the neuron-technologies/engram repo is a git submodule). Engram has
-#      never been published as a standalone Artifact Registry package.
-#   3. Package both in an Ubuntu 24.04 runtime image (GLIBC 2.39 required by
-#      binaries compiled on Ubuntu 24.04 CI runners).
+#   1. CI pre-downloads all artifacts from Artifact Registry into build-artifacts/
+#      (neuron soul binary, El compiler, El runtime). No GCP credentials are needed
+#      inside the build — all AR access happens in the CI workflow before docker build.
+#   2. Build engram from source (neuron-technologies/engram, cloned by CI into ./engram/).
+#   3. Package soul + engram in an Ubuntu 24.04 runtime image (GLIBC 2.39).
 #   4. entrypoint.sh starts engram on :8742, waits for it to be healthy,
 #      then starts the soul with ENGRAM_URL pointing at it (HTTP mode).
 #
+# Expected build context layout (prepared by deploy-gke.yaml before docker build):
+#   build-artifacts/neuron         — pre-built linux/amd64 soul binary
+#   build-artifacts/elc            — El compiler (for engram source compilation)
+#   build-artifacts/el_runtime.c   — El C runtime
+#   build-artifacts/el_runtime.h   — El C runtime header
+#   engram/src/server.el           — engram source (cloned by CI)
+#   entrypoint.sh                  — container entrypoint
+#
 # Required env vars (injected via ExternalSecret at runtime):
 #   NEURON_PORT, NEURON_LLM_0_URL, NEURON_LLM_0_KEY, NEURON_LLM_0_FORMAT,
 #   SOUL_CGI_ID, SOUL_IDENTITY, NEURON_TOKEN, NEURON_API_URL, ENGRAM_URL,
 #   ENGRAM_DATA_DIR
 
-ARG SOUL_VERSION=latest
-
-# ── Stage 1: Download neuron-soul + El SDK from Artifact Registry ─────────────
-FROM ubuntu:24.04 AS downloader
-
-ARG SOUL_VERSION
-
-RUN apt-get update -qq && \
-    apt-get install -y --no-install-recommends \
-      ca-certificates \
-      curl \
-      gnupg \
-      apt-transport-https && \
-    echo "deb [signed-by=/usr/share/keyrings/cloud.google.gpg] https://packages.cloud.google.com/apt cloud-sdk main" \
-      > /etc/apt/sources.list.d/google-cloud-sdk.list && \
-    curl -fsSL https://packages.cloud.google.com/apt/doc/apt-key.gpg \
-      | gpg --dearmor -o /usr/share/keyrings/cloud.google.gpg && \
-    apt-get update -qq && \
-    apt-get install -y --no-install-recommends google-cloud-cli && \
-    rm -rf /var/lib/apt/lists/*
-
-RUN --mount=type=secret,id=gcp_sa_key \
-    GCP_SA_KEY=$(cat /run/secrets/gcp_sa_key 2>/dev/null || echo "") && \
-    if [ -n "$GCP_SA_KEY" ]; then \
-      echo "$GCP_SA_KEY" > /tmp/gcp-key.json && \
-      gcloud auth activate-service-account --key-file=/tmp/gcp-key.json; \
-    fi && \
-    gcloud config set project neuron-785695 && \
-    mkdir -p /tmp/soul /tmp/el-sdk && \
-    \
-    # ── soul ──────────────────────────────────────────────────────────────── \
-    if [ "${SOUL_VERSION}" = "latest" ]; then \
-      SOUL_VER=$(gcloud artifacts versions list \
-        --repository=foundation-dev \
-        --location=us-central1 \
-        --project=neuron-785695 \
-        --package=neuron-soul \
-        --sort-by="~createTime" \
-        --limit=1 \
-        --format="value(name)" 2>/dev/null | awk -F/ '{print $NF}'); \
-    else \
-      SOUL_VER="${SOUL_VERSION}"; \
-    fi && \
-    echo "Downloading neuron-soul@${SOUL_VER}" && \
-    gcloud artifacts generic download \
-      --repository=foundation-dev \
-      --location=us-central1 \
-      --project=neuron-785695 \
-      --package=neuron-soul \
-      --version="${SOUL_VER}" \
-      --destination=/tmp/soul/ && \
-    mv /tmp/soul/neuron* /tmp/soul/neuron 2>/dev/null || true && \
-    chmod +x /tmp/soul/neuron && \
-    \
-    # ── El SDK (needed to build engram from source) ────────────────────────── \
-    ELC_VER=$(gcloud artifacts versions list \
-      --repository=foundation-dev --location=us-central1 --project=neuron-785695 \
-      --package=el-elc --sort-by="~createTime" --limit=1 \
-      --format="value(name)" 2>/dev/null | awk -F/ '{print $NF}') && \
-    gcloud artifacts generic download \
-      --repository=foundation-dev --location=us-central1 --project=neuron-785695 \
-      --package=el-elc --version="${ELC_VER}" --destination=/tmp/el-sdk/ && \
-    mv /tmp/el-sdk/elc* /tmp/el-sdk/elc 2>/dev/null || true && \
-    chmod +x /tmp/el-sdk/elc && \
-    \
-    RC_VER=$(gcloud artifacts versions list \
-      --repository=foundation-dev --location=us-central1 --project=neuron-785695 \
-      --package=el-runtime-c --sort-by="~createTime" --limit=1 \
-      --format="value(name)" 2>/dev/null | awk -F/ '{print $NF}') && \
-    gcloud artifacts generic download \
-      --repository=foundation-dev --location=us-central1 --project=neuron-785695 \
-      --package=el-runtime-c --version="${RC_VER}" --destination=/tmp/el-sdk/ && \
-    mv /tmp/el-sdk/el_runtime.c* /tmp/el-sdk/el_runtime.c 2>/dev/null || true && \
-    \
-    RH_VER=$(gcloud artifacts versions list \
-      --repository=foundation-dev --location=us-central1 --project=neuron-785695 \
-      --package=el-runtime-h --sort-by="~createTime" --limit=1 \
-      --format="value(name)" 2>/dev/null | awk -F/ '{print $NF}') && \
-    gcloud artifacts generic download \
-      --repository=foundation-dev --location=us-central1 --project=neuron-785695 \
-      --package=el-runtime-h --version="${RH_VER}" --destination=/tmp/el-sdk/ && \
-    mv /tmp/el-sdk/el_runtime.h* /tmp/el-sdk/el_runtime.h 2>/dev/null || true && \
-    \
-    rm -f /tmp/gcp-key.json && \
-    echo "Downloads complete:" && ls -lh /tmp/soul/ /tmp/el-sdk/
-
-# ── Stage 2: Build engram from source ────────────────────────────────────────
+# ── Stage 1: Build engram from source ────────────────────────────────────────
 FROM ubuntu:24.04 AS engram-builder
 
 RUN apt-get update -qq && \
@@ -113,12 +33,13 @@ RUN apt-get update -qq && \
       libcurl4-openssl-dev && \
     rm -rf /var/lib/apt/lists/*
 
-COPY --from=downloader /tmp/el-sdk/elc           /usr/local/bin/elc
-COPY --from=downloader /tmp/el-sdk/el_runtime.c  /usr/local/lib/el/el_runtime.c
-COPY --from=downloader /tmp/el-sdk/el_runtime.h  /usr/local/lib/el/el_runtime.h
+# El SDK pre-downloaded by CI into build-artifacts/
+COPY build-artifacts/elc           /usr/local/bin/elc
+COPY build-artifacts/el_runtime.c  /usr/local/lib/el/el_runtime.c
+COPY build-artifacts/el_runtime.h  /usr/local/lib/el/el_runtime.h
+RUN chmod +x /usr/local/bin/elc
 
-# engram source is expected at ./engram/src/server.el in the build context.
-# The deploy-gke.yaml CI must clone neuron-technologies/engram alongside this repo.
+# engram source cloned by CI into ./engram/
 COPY engram/src/server.el /build/src/server.el
 
 RUN mkdir -p /build/dist && \
@@ -133,7 +54,7 @@ RUN mkdir -p /build/dist && \
     echo "Built engram:" && ls -lh /build/dist/engram && \
     chmod +x /build/dist/engram
 
-# ── Stage 3: Runtime image ───────────────────────────────────────────────────
+# ── Stage 2: Runtime image ───────────────────────────────────────────────────
 # Ubuntu 24.04: GLIBC 2.39 satisfies both neuron-soul and engram binary deps.
 FROM ubuntu:24.04
 
@@ -145,9 +66,10 @@ RUN apt-get update -qq && \
     rm -rf /var/lib/apt/lists/* && \
     useradd -r -u 10000 -m -s /bin/bash soul
 
-COPY --from=downloader    /tmp/soul/neuron        /usr/local/bin/neuron
-COPY --from=engram-builder /build/dist/engram     /usr/local/bin/engram
-COPY entrypoint.sh                                /usr/local/bin/entrypoint.sh
+# soul binary pre-downloaded by CI into build-artifacts/
+COPY build-artifacts/neuron        /usr/local/bin/neuron
+COPY --from=engram-builder /build/dist/engram /usr/local/bin/engram
+COPY entrypoint.sh                 /usr/local/bin/entrypoint.sh
 
 RUN chmod +x /usr/local/bin/neuron /usr/local/bin/engram /usr/local/bin/entrypoint.sh
 

HANDOFF-engram-write-corruption.md

@@ -0,0 +1,126 @@
+# Handoff: Engram EL write-path field corruption + silent writes
+
+**For:** Will (backend / EL soul)
+**From:** Tim (via Claude Code)
+**Date:** 2026-06-08
+**Status:** Root cause confirmed; source fixes applied locally (NOT built/deployed); data analyzed; prune proposed (NOT applied).
+
+---
+
+## TL;DR
+The EL wrapper `engram_node_full` had a **stale signature** that didn't match the C primitive. Because `el_val_t` is an untyped machine word, the compiler coerced caller args to the wrong declared types and forwarded them **by position** into a C function whose positions mean different things → `tier` got ints, `importance/confidence` got strings, `label` got a float, etc. One caller (`chat.el`) also put a *tier* into the `node_type` slot.
+
+Source fixes are done. **You need to:** review, build with `elc`, restart the soul, verify, and apply the prune (daemon stopped). Details below.
+
+---
+
+## 1. Root cause (confirmed)
+
+**C contract** (`el/lang/el-compiler/runtime/el_seed.h:204`):
+```
+__engram_node_full(content, node_type, label, salience, importance, confidence, tier, tags)
+```
+
+**Old wrapper** (`el/lang/runtime/engram.el:15-17`) — stale schema, wrong names AND types:
+```
+fn engram_node_full(content: String, nt: String, sal: Float, imp: Float,
+                    source: String, lang: String, ts: Int, tags: String)
+```
+
+**Coercion mechanism:** `el_val_t` is `uintptr_t` (`#define EL_STR(s) ((el_val_t)(uintptr_t)(s))`, `EL_INT(v) (v)`). The EL compiler binds each caller arg to the wrapper's *declared* param type (String→Float / String→Int coercion at the boundary), then the wrapper forwards **positionally**. Result for a correct-order caller `(content,"Memory","memory:remembered",sal,imp,conf,tier,tags)`:
+- `label` ← `sal` (a float)
+- `importance` ← a String
+- `confidence` ← a String
+- `tier` ← `ts` (the tier String coerced to Int) → **tier becomes an integer**
+
+This matches the data exactly (see §6).
+
+---
+
+## 2. Fix applied — wrapper (`el/lang/runtime/engram.el`)
+Corrected to match the C contract 1:1 (no coercion, no reorder):
+```
+fn engram_node_full(content: String, node_type: String, label: String,
+                    salience: Float, importance: Float, confidence: Float,
+                    tier: String, tags: String) -> String {
+    // validation (see §4), then:
+    return __engram_node_full(content, node_type, label, salience, importance, confidence, tier, tags)
+}
+```
+
+## 3. Fix applied — caller audit
+Audited every caller (`chat.el`, `awareness.el`, `soul.el`, `memory.el`, `routes.el`, `neuron-api.el`).
+**All `engram_node_full` callers already use the correct order** — so the wrapper fix repairs them automatically. **One real caller bug** fixed:
+
+`neuron/chat.el:512` was:
+```
+engram_node(clean_response, "episodic", el_from_float(0.6))   // "episodic" = a TIER in the node_type slot
+```
+Now:
+```
+engram_node_full(clean_response, "Conversation", "soul:utterance",
+                 el_from_float(0.6), el_from_float(0.6), el_from_float(0.8),
+                 "Episodic", utterance_tags)
+```
+
+## 4. Fix applied — validation (defense in depth, `engram.el`)
+Added `engram_valid_node_type` / `engram_valid_tier` allowlists. Both `engram_node` and `engram_node_full` now **reject invalid values with `__println` + return `""`** (fail loud, never silently write a malformed node).
+- node_type allowlist: Memory, Knowledge, Belief, Project, Tag, BacklogItem, Artifact, Conversation, ExecutionContext, InternalStateEvent, Self, Entity, Process, ConfigEntry, Concept, Imprint *(union of the spec list + types actually present in the store — trim if some are illegitimate).*
+- tier allowlist: Semantic, Episodic, Working, Procedural, Canonical, Note, Lesson
+- **Note:** `el_val_t` is untyped, so this catches wrong VALUES, not wrong TYPES. Type safety comes from the corrected signatures.
+
+> All edits above are in the working tree on Tim's machine but **NOT compiled/deployed** and **NOT compile-verified** (no `elc` on that box).
+
+---
+
+## 5. DEPLOY RUNBOOK (your build env)
+1. Pull the edited files: `el/lang/runtime/engram.el`, `neuron/chat.el`.
+2. Build: `elc` (entry `neuron/soul.el`, import chain) → `neuron/dist/*.c`, then link as in `el/lang/install.sh` (`$(CC) $(CFLAGS) -o dist/neuron-fresh dist/*.c .../el_runtime.c -lcurl -lpthread`). Confirm `engram.el` recompiles into the import chain.
+3. Restart the soul. **Note:** on Tim's box it's run by `/tmp/soul-keepalive.sh` (an auto-restart loop) → stop that loop before killing `neuron-fresh`, or it'll respawn the old binary.
+4. **Verify (prove end-to-end):** write a node via the live API (POST `/api/memories` or the remember path) with an obvious throwaway label, then read it back and confirm `node_type` + `tier` are correct AND that it persisted (node_count increments; survives a snapshot save). There is **no delete endpoint** — clean up via the snapshot.
+
+---
+
+## 6. Data analysis + prune proposal (NOT applied)
+- Snapshot: `~/.neuron/engram/snapshot.json`. **Backup made:** `~/.neuron/engram/snapshot.backup-20260608.json`.
+- **~107 corrupt nodes** (node_type/tier not in the valid sets). node_type junk values: `''`, `'1'`, `'2'`, `'ntn-genesis'`, `'claude-opus-4-8'`, binary. tier junk: same + `'/Users/timlingo'`.
+- **0 are field-repairable.** They're all genesis-bootstrap / binary detritus where *every* field (id/label/tier/tags) is corrupted together — 69× "You are ntn-genesis, a CGI.", 62× "ntn-genesis", ~70 binary garbage, plus a proxy URL + an API path that leaked into labels. No signal to reconstruct → **prune, don't fabricate.**
+- **Proposal:** `~/.neuron/engram/snapshot.pruned.json` — 3,631 clean nodes (107 junk removed), edges intact (no dangling). Byte-verified: no *clean* node contains binary content, so re-encoding is lossless.
+- **NOT applied** because the live daemon is **actively rewriting `snapshot.json`** (two reads returned different counts). Applying requires stopping the soul + keepalive, swapping in the pruned snapshot, then restarting. Do this in your controlled env with the backup retained.
+
+---
+
+## 7. Security heads-up (please action)
+- `ANTHROPIC_API_KEY` is stored **in plaintext** in `/tmp/soul-keepalive.sh` — rotate it and move to a secret store.
+- Internal infra leaked into node fields (`http://localhost:7771`, `/api/graph/edges?limit=5000`) — symptom of the same write bug; the prune removes those nodes.
+
+## 8. Backlog of related gaps (separate from this fix)
+- Soul chat loop reports **no tools** (`NONE`) / `NO_SHELL` — it narrates `curl`/`sqlite3` without executing. The capture REST path works, but the chat agent can't call it.
+- **No `PUT`/`DELETE`** on knowledge nodes (`method not allowed`) — needed for UI edit/delete.
+- No **source-conversation** edge on captured nodes — blocks "see source chat" in the UI.
+- Writes have been **frozen since ~2026-04-29** (newest knowledge node) — nothing is being added in the current running state.
+
+---
+
+## ADDENDUM — Phase 0 live runtime findings (2026-06-08, verified against the running system)
+
+Validated the write path end-to-end against `neuron-fresh :7770` + `engram :8742`. Confirms the diagnosis and corrects two common assumptions.
+
+**Ports:** `engram :8742` ✓ listening (healthy: `{"status":"ok","engine":"engram-runtime-native"}`), `neuron-fresh :7770` ✓, **`:7771` NOT listening.**
+
+**Two distinct write failures (not one):**
+1. **`/api/neuron/knowledge/capture` + memory remember** — handled **in-process by the soul** (`neuron-api.el` `handle_api_capture_knowledge` / remember → `engram_node_full(...)`). Live test: `POST …/knowledge/capture` returned `{"id":"2ccfc147…","ok":true}` but that id is **absent from `/api/graph/nodes` and `snapshot.json`** → the node corrupted/vanished. **This is exactly the `engram_node_full` wrapper bug this PR fixes.** It is NOT a `:7771` issue. → fixed by el PR #52 + soul rebuild.
+2. **`/api/backlog`, `/api/memories`, `/api/knowledge`, `/api/artifacts`, `/api/projects`, `/api/imprints`** — `routes.el` proxies these to **`axon`** via `axon_get`/`axon_post` (base `SOUL_AXON` or default **`http://localhost:7771`**). `axon` = **`protocols/axon`, an unbuilt Rust crate**, not running → "Failed to connect to localhost port 7771." → needs axon stood up (separate Rust workstream) OR routes repointed.
+
+**Architecture clarifications (so nobody chases the wrong port again):**
+- The soul runs in **file-snapshot mode** (no `ENGRAM_URL` in `/tmp/soul-keepalive.sh`) → it uses `~/.neuron/engram/snapshot.json`, **not `engram :8742` live**. So writing to `:8742` does NOT make data visible to the soul the app talks to.
+- `engram :8742` is its own EL service (`engram/src/server.el`) with a **working CRUD API**: `POST/GET/DELETE /api/nodes`, `/api/edges`, `/api/save`, `/api/load`, `/api/activate`, `/api/search`. Verified create+delete (`{"ok":true}`). **But** its `route_create_node` only reads `content/node_type/salience` — **no label/tier/tags/metadata** — so it can't set `metadata.tier_source: canonical`.
+- Minor EL bug in `engram/src/server.el route_create_node`: `if str_eq(node_type,""){ let node_type = "Memory" }` **shadows** (new local) instead of reassigning → the default never applies; same for `salience`. Worth fixing while in there.
+
+**Verification plan (run after the soul rebuild lands):**
+1. `POST /api/neuron/knowledge/capture {content,title,tier:canonical}` → capture the returned id.
+2. `GET /api/neuron/knowledge/search?q=<term>` → confirm the node comes back with correct `node_type`/`metadata.tier_source`.
+3. Confirm it survives a snapshot save (present in `snapshot.json`). Only then is the write "real."
+4. Backlog: once `axon :7771` is up, repeat for `POST /api/backlog`.
+
+**Net:** "make writes persist" needs (a) **this wrapper fix built into the soul** (capture) and (b) **`axon :7771` running** (backlog/artifacts/etc.). Neither was doable on Tim's box (no `elc`; `axon` is unbuilt Rust — out of scope per the no-Rust guardrail). No live writes/restarts were performed; engram probe node was created and deleted to verify the API.

MEMORY_RECALL_BUG.md

@@ -0,0 +1,184 @@
+# Memory Recall Bug — Handoff for Will
+
+**Reported by:** Tim (via the Neuron UI chat)
+**Diagnosed by:** Claude (Claude Code session), 2026-06-05
+**Symptom:** The soul can't recall anything specific — e.g. "do you remember the jokes
+from that night with Will, Tim, and April?" → it has no idea, and correctly self-reports
+that either retrieval is failing or the memory was never captured.
+
+---
+
+## TL;DR
+
+The memories are almost certainly **intact in the graph**. The problem is the
+**retrieval layer**: `engram_search_json` and `engram_activate_json` return empty for
+*every* query, so the chat falls back to two hardcoded pinned nodes and effectively
+remembers nothing. Strongly looks like the **embedding / search index was never built or
+isn't loaded at boot**.
+
+Separately: the **soul daemon on :7770 was down** at the end of the investigation (it had
+been up earlier in the session — it died/stopped partway through). Restart needed before
+any of this can be re-tested.
+
+---
+
+## Evidence
+
+All commands run against the live services during the session.
+
+### Search/activate return nothing — even for guaranteed-present terms
+```
+curl "http://127.0.0.1:8742/api/search?q=MUDCraft&limit=3"  -H "X-API-Key: ntn-user-2026"  →  []
+curl "http://127.0.0.1:8742/api/search?q=neuron&limit=3"    -H "X-API-Key: ntn-user-2026"  →  []
+curl "http://127.0.0.1:8742/api/search?q=Will&limit=3"      -H "X-API-Key: ntn-user-2026"  →  []
+curl "http://127.0.0.1:8742/api/activate?q=jokes&depth=3"   -H "X-API-Key: ntn-user-2026"  →  {"results":[]}
+
+# soul's in-process equivalents (port 7770) — also empty:
+curl "http://127.0.0.1:7770/api/neuron/recall?query=neuron"            →  (empty)
+curl "http://127.0.0.1:7770/api/neuron/knowledge/search?q=MUDCraft"    →  (empty)
+```
+
+### But the raw data is present
+```
+curl "http://127.0.0.1:7770/api/graph/nodes?limit=2"
+→ [{"id":"mem-30425134-...","content":"CGI ARCHITECTURE ? THREE LAYERS, MCP RETIRED ...
+```
+`/api/graph/nodes` is served by `engram_scan_nodes_json(9999, 0)` (routes.el:223-224) and
+returns hundreds of rich nodes. So node storage is fine — only the **search/activation
+index** is dead.
+
+### The two standalone-engram counters
+```
+curl "http://127.0.0.1:8742/api/stats"  →  {"node_count":0,"edge_count":0,"layer_count":5}
+```
+Note: the standalone engram process on :8742 reports **0 nodes**, while the soul's
+in-process engram (:7770) has the data. Worth confirming which engram instance is the
+source of truth and whether they've diverged. (The `:8742` process was also showing up as
+`engram --help` in `ps`, which is suspicious — may not be a real server instance.)
+
+---
+
+## Root cause (where it breaks in code)
+
+`neuron/chat.el → engram_compile(intent)` (lines 15-53) builds the entire memory context
+for every chat turn from exactly two sources:
+
+```el
+let activate_json: String = engram_activate_json(intent, 5)   // returns []
+let search_json:   String = engram_search_json(intent, 15)    // returns []
+```
+
+When **both are empty**, it falls back to two hardcoded nodes by literal ID
+(chat.el:29-41):
+
+```el
+// "Fallback: when vector search returns nothing (no embeddings), fetch pinned
+//  high-salience nodes by their known IDs."
+let family_node = engram_get_node_json("knw-35940684-abc4-42f0-b942-818f66b1f69a")
+let origin_node = engram_get_node_json("knw-729fc901-8335-44c4-9f3a-b150b4aa0915")
+```
+
+So today the soul's *entire* recallable memory in a chat = those two nodes. That's why it
+can't surface jokes, social moments, the dynamic with Tim/April, or anything else specific.
+
+The comment ("when vector search returns nothing (no embeddings)") is the key hint: this
+fallback was written *expecting* the embedding index to sometimes be absent — and right
+now it's absent **all the time**.
+
+Affected callers all funnel through the same two dead builtins:
+- `handle_api_recall` (neuron-api.el:118) — `engram_search_json`
+- `handle_api_search_knowledge` (neuron-api.el:135) — `engram_search_json` + `engram_activate_json`
+- `engram_compile` (chat.el:15) — both
+
+Working callers use a *different* builtin (`engram_scan_nodes_json` /
+`engram_scan_nodes_by_type_json`), which is why graph/list views work but recall doesn't.
+
+---
+
+## Fix options (Will's call)
+
+### Option 1 — Proper fix: rebuild/restore the embedding + activation index
+`engram_search_json` and `engram_activate_json` are native runtime builtins. They're
+returning empty because (most likely) the vector/search index was never built or isn't
+loaded at boot, even though node storage loads fine. Investigate the engram boot path:
+does it build embeddings for loaded nodes? Is there an index file that's missing/stale?
+Fixing this restores recall everywhere at once. **This is the real fix.**
+
+### Option 2 — Pragmatic EL-level fallback (no native changes)
+Since `engram_scan_nodes_json()` works, `engram_compile` could do a keyword scan when the
+vector path is empty: pull nodes, substring/token match the query against `content` +
+`label`, rank by overlap, return the top N. Restores basic recall even with the vector
+index down. ~20 lines of EL in `engram_compile`, but requires a soul rebuild + restart.
+Claude offered to write this patch for your review if you want it — say the word.
+
+Tradeoff: keyword matching is much weaker than semantic recall (won't find "jokes" unless
+the node text literally contains joke-ish words), but it's strictly better than the current
+two-node fallback and needs no native/runtime work.
+
+---
+
+## Also needs attention
+
+- **Soul daemon (:7770) was down** at end of session — restart and confirm it stays up.
+- **Confirm the engram instance topology** — :8742 standalone shows 0 nodes while the
+  soul's in-process engram has the data. Make sure chat is reading the populated one and
+  they haven't diverged.
+- **Social memory weighting** (Tim's deeper point): even once retrieval works, jokes /
+  interpersonal moments may not be tagged or salience-weighted to surface as "important."
+  Worth a look at how those get captured and scored — but that's secondary to getting
+  retrieval working at all.
+
+---
+
+## Daemon lifecycle — needs a supervisor (NEW, 2026-06-06)
+
+The soul daemon **crashed again** the next day. It had been up earlier, then died on its
+own (not from any change). When it's down, the UI's Backlog / Artifacts / Knowledge /
+Graph / Memories tabs all go **blank**, because they read from `:7770/api/graph/nodes`.
+The chat also stops working. This is the second unexplained death in two days.
+
+### How it's currently run (fragile)
+- Binary: `neuron/dist/neuron-fresh` (compiled from the EL sources)
+- Launched manually as a bare background process (`./neuron-fresh &`) — **no supervisor,
+  no auto-restart, no crash logging beyond stdout**. When it dies, it stays dead until a
+  human notices the blank UI and restarts it.
+- Boot log only shows `[http] listening on [::]:7770` — there's no captured stack/exit
+  reason when it crashes, so we can't yet say *why* it's dying.
+
+### How I restarted it (for reference)
+```sh
+# snapshot lives at ~/.neuron/engram/snapshot.json (loaded on boot, ~9.7MB)
+# ALWAYS back it up first — genesis boot re-saves it:
+cp ~/.neuron/engram/snapshot.json ~/.neuron/engram/snapshot.backup-$(date +%Y%m%d-%H%M%S).json
+
+cd neuron/dist
+ANTHROPIC_API_KEY='<key>' NEURON_PORT=7770 ./neuron-fresh > /tmp/soul-restart.log 2>&1 &
+# verify:
+curl -s http://127.0.0.1:7770/health
+# → {"status":"alive","cgi_id":"ntn-genesis","boot":2,"node_count":3660,"edge_count":14207,...}
+```
+After this, data came back: 3,660 nodes / 14,207 edges; Backlog 485, Memory 493, etc.
+
+### Recommendations for Will
+1. **Put it under a supervisor** so it auto-restarts on crash and logs exit codes:
+   - macOS dev: a `launchd` LaunchAgent plist (KeepAlive=true), or `brew services`, or
+     even a simple `while true; do ./neuron-fresh; done` wrapper with timestamped logs.
+   - Prod/k8s already has `entrypoint.sh` + restart policy — the gap is the **local dev**
+     run path.
+2. **Capture crash diagnostics** — redirect stdout/stderr to a rotating logfile and, if the
+   EL runtime can, dump a reason on exit. Right now we're blind to the cause.
+3. **Find the root cause of the crashes** — two self-deaths in two days suggests a real bug
+   (memory? an unhandled request? a panic in a native builtin?). The supervisor stops the
+   *symptom* (blank UI) but not the underlying instability.
+4. **Snapshot safety** — genesis boot calls `engram_save(snapshot)` (soul.el:240,248). A
+   crash mid-save could corrupt the 9.7MB memory file. Consider write-to-temp + atomic
+   rename, and/or periodic timestamped backups, so a bad save can't lose Neuron's memory.
+
+---
+
+## What was NOT touched
+No backend EL code and no engram data were modified — the memory-recall diagnosis is
+read-only. The only operational action taken was **restarting the already-existing
+`neuron-fresh` daemon** (after backing up the snapshot) to bring the blank UI tabs back;
+no source or data was changed by that. All UI work this session was in `neuron-ui` and is
+unrelated to this bug.

PORT-NOTES.md

@@ -0,0 +1,139 @@
+# PORT-NOTES — openai tools port working state (2026-08-06, session handoff-safe)
+
+Spec: `docs/specs/SPEC-soul-openai-tools-v2-2026-08-06.md` (Tim-approved 2026-08-06). Tasks #1-5
+tracked in-session (1 ✓ wiring verdict, 2 ✓ stub rig, 3 in-progress = THIS, 4-5 pending).
+Worktree: HERE (`_wt-openai-tools`, branch `feat/soul-openai-tools-v2` @ dba755d). Round-9 trees
+READ-ONLY. Nothing committed yet.
+
+## Step-0 verdict (evidence in journal note ncli-653ba964dd76)
+Shipped app never wires the v1 lane: launcher exports `SOUL_LLM_MODEL/PROVIDER/BASE_URL` +
+`ANTHROPIC_API_KEY`+`SOUL_API_KEY` (= Keychain key for WHATEVER provider; installer/macos/
+neuron-daemons.sh:288-300 on hotfix/beta-round9); brain reads only SOUL_LLM_MODEL (chat.el:8) and
+NEURON_LLM_0_* (chat.el:1768-1794) which nothing sets. `/api/config` PATCH ignores llm_* fields
+(studio.el:36 handle_config: POST-only, reads model/provider/api_key only).
+**Bridge = brain-side ONLY (zero app-repo edits, zero round-9 collision):**
+- `llm_base_url()`: NEURON_LLM_0_URL → fallback SOUL_LLM_BASE_URL when SOUL_LLM_PROVIDER ∉ {"","anthropic"}
+- `llm_wire_format()`: NEURON_LLM_0_FORMAT → fallback derive from SOUL_LLM_PROVIDER (openai/grok/gemini/groq/ollama → "openai"; else "anthropic")
+- `agentic_api_key()`: already works (ANTHROPIC_API_KEY carries the provider key); add NEURON_LLM_0_KEY → SOUL_API_KEY fallback.
+
+## Design pins (stub asserts these — stub is green 58/58, tests/gate-openai/)
+- Request MUST send `"tool_choice":"auto"` (string) + `"parallel_tool_calls":false` explicitly.
+- `arguments` in tool_calls = JSON-ENCODED STRING; decode ONCE via json_get → feed dispatch_tool
+  verbatim. Stub's echo-mismatch check catches double-encode/decode (two-escaper trap).
+- Assistant echo turn: `{"role":"assistant","content":null,"tool_calls":[...]}` VERBATIM from response.
+- Feedback: `{"role":"tool","tool_call_id":"<id>","content":"<result string>"}`.
+- Resume must NOT re-answer an answered id (stub 400s on repeat tool_call_id).
+- Parallel tool_calls in a response: take FIRST only + log skip (mirror ADR-0005 stopgap); stub
+  scenario `parallel` proves behavior.
+- No tools in request when tools array empty/absent turns (boot probes) — stub defaults tolerate.
+
+## el idioms confirmed (from openai_chat_complete :1808-1854 + agentic_loop :2751-2838)
+- JSON: `json_get(s,k)` decoded string · `json_get_raw(s,k)` raw subtree · `json_array_len` ·
+  `json_array_get(arr,i)` · build by string concat + `json_escape()` (:1797, OpenAI-lane escaper).
+- HTTP: `let h: Map = {}` + `map_set(h,k,v)` + `http_post_with_headers(url, body, h)`;
+  Bearer auth via `Authorization` header when key non-empty (:1825-1830).
+- Loop-carried vars must be top-level locals in the fn, mutated as if-expressions at while-body
+  top level (see :2760-2791 pattern + comment :2903-2904 region).
+- Error shape: `str_starts_with(raw,"{\"error\"") || str_contains(raw,"\"error\":")` → return
+  `{"error":"llm unavailable","reply":""}` (:1835-1838).
+
+## Remaining read map (before writing the fork)
+- chat.el 2840-3200: block walk (2923-3000), policy gate (3009-3023: classify_tool_risk /
+  is_builtin_tool / ask_all / tool_auto_approved → needs_bridge), dispatch_tool call (3025),
+  tool_result feedback (3031, 3067-3072), run-progress ledger append (3078-3087), bridge_save
+  (3182), loop end + done envelope (~3100-3200).
+- agentic_resume 3227-3293 (hardcoded Anthropic headers to make wire-aware; blob gets `wire` field,
+  legacy default anthropic) · handle_tool_result 3293+ · dharma fork site 3465 (calls agentic_loop
+  direct, no use_openai check today).
+
+## Write plan (order)
+1. Env fallbacks (edit llm_base_url/llm_wire_format/agentic_api_key) — small, first, testable alone.
+2. `openai_tools_json(anthropic_tools: String) -> String` converter (walk array; per entry build
+   {"type":"function","function":{name,description,parameters:input_schema-raw}}).
+3. `openai_agentic_loop(...)` fork: same signature as agentic_loop minus Anthropic-only params;
+   INCLUDE run-progress ledger + tools_log + iteration cap 12; NO container_id/ws_drift/web_search
+   (out of scope; strip web_search entry from tools via agentic_tools_literal()+connector merge,
+   NOT _with_web()).
+4. Fork sites ×3: handle_chat_agentic :2695-2700 (route agentic to new loop when use_openai);
+   dharma :3465; agentic_resume wire-branch.
+5. `chat.elh` extern decls. 6. Compile (recipe: dist/ + elc/elb per neuron-soul-build-deploy memory;
+   round-9 tree soul.c regen'd 08-06 proves toolchain live). 7. Gate: stub selftest recipe in
+   tests/gate-openai/README.md. 8. Anthropic-lane regression via gate9 (READ-ONLY consume from
+   _wt-beta-round9). 9. Live Groq E2E (scratch profile, free port, key via Keychain read-only).
+
+## BUILD RECIPE — CORRECTED 2026-08-06 (the June memory is STALE for August code)
+`~/el-sdk/el_runtime.c` (Jun 15) is MISSING builtins the Aug engine calls (`engram_wm_count`,
+`engram_wm_top_json`, `http_delete_json`, `http_serve_async`) → link fails with
+"symbol(s) not found for architecture arm64". Use the REPO-PINNED runtime:
+```
+mkdir -p <scratch>
+elb --elc=$HOME/el-sdk/elc --runtime=vendor/el-runtime/v1.0.0-20260501 --out=<scratch>/
+   # "elb: link failed" at the end is EXPECTED and harmless — the per-module .c files are produced
+cc -std=c11 -O1 -DHAVE_CURL -rdynamic \
+   -I vendor/el-runtime/v1.0.0-20260501 -I <scratch> -I /opt/homebrew/opt/openssl@3/include \
+   -L /opt/homebrew/opt/openssl@3/lib \
+   -include dist/elp-c-decls.h -Wno-error=implicit-function-declaration \
+   -o <scratch>/soul <scratch>/*.c vendor/el-runtime/v1.0.0-20260501/el_runtime.c \
+   -lssl -lcrypto -lcurl -lpthread -lm
+```
+Source: `_engine-plainchat-20260805/README.md:396-412`. Verified today: 0 errors, 887,296 B.
+`elb` ALSO rewrites every `*.elh` in the tree (cosmetic em-dash→hyphen in the auto-gen banner,
+plus true-ups) and drops a stray `soul..elh` — `git restore` the unrelated ones and delete the
+stray before staging, or the diff drowns in noise.
+
+## SELF-REVIEW FIX LIST (found by reading my own diff, 2026-08-06 — apply in ONE batch, then rebuild once)
+- **F3 (CORRECTNESS, do first):** the assistant echo currently replays the provider's FULL
+  `tool_calls` array (`tc_arr`) while the loop answers only the FIRST call. If a provider ignores
+  `parallel_tool_calls:false`, the next request carries an assistant turn with N tool_calls and
+  only ONE `role:"tool"` response → most OpenAI-format providers 400 ("missing tool response for
+  id X") and the run dies. This is the same class as ADR-0005's Anthropic failure, but here it is
+  cheap to close: echo ONLY the honored call (`"[" + tc0 + "]"`), so the conversation we send is
+  self-consistent and the dropped call never existed from the model's view. The DRIFT log line
+  stays (honest accounting of what we dropped).
+- **F4 (efficiency/latency):** `handle_chat_agentic` computes `agentic_tools_all()` at ~:2681
+  BEFORE the fork, then the OpenAI branch computes `agentic_tools_no_web()` again — two
+  `connector_tools_json()` calls per turn, each an HTTP round-trip to the connector bridge on
+  :7771 (two timeout exposures). Fix: compute the tools array ONCE, per lane, after `use_openai`
+  is known (check no other use of `tools_json` sits between :2681 and the fork before moving it).
+  Note: `openai_tools_json()` already skips any entry with no `input_schema`, so Anthropic's
+  server-side `web_search` entry is auto-dropped even if the full array is passed —
+  `agentic_tools_no_web()` is kept for EXPLICITNESS, not necessity.
+- **F1 (debuggability):** the "no choices in response" branch logs a generic string and discards
+  the body. Log the response head (as the `is_error` branch does) — a provider that returns 200
+  with an unexpected shape is otherwise undiagnosable from the log.
+- **OPEN QUESTION (evidence pending from the gate):** the tool-result feedback turn escapes with
+  `json_escape()` (this lane's escaper) rather than `json_safe()` (used everywhere else). The
+  Anthropic lane escapes that field with NEITHER, which is a latent defect on that side. If the
+  torture scenario shows any escaping loss, switch to `json_safe` and note the Anthropic-side
+  finding for Will.
+
+## TEST HARNESS — built 2026-08-06 (Task 4 side-work, reusable by anyone)
+- `tests/run-el-test.sh <tests/test_x.el> | --all` — the engine tests were NEVER runnable
+  before this (`elc` is a compiler: emits C to stdout and exits). It emits the test to C,
+  compiles `soul.c` separately with `main` renamed away (soul.c owns the daemon's real main
+  but also defines `layered_cycle` et al.), links the remaining modules + the repo-pinned
+  runtime, and executes. Modules cached under `/tmp/el-test-<worktree>/`; `REBUILD=1` forces.
+- **The runner computes the verdict itself** because the test FILES cannot: all 9 counted
+  test files do `let pass_count = pass_count + 1` inside an if BLOCK, which El scoping
+  discards, so every summary line reads `0 passed, 0 failed` forever. Per-assertion
+  `PASS:`/`FAIL:` lines ARE reliable; the runner counts those, exits non-zero on any FAIL
+  or on zero assertions, and was proven to discriminate with a negative control (broken
+  assertion → 31 passed / 1 failed / exit 1). Real in-file fix filed: **neuron#116**.
+- `tests/test_bridge_serialization.el`: 4 `bridge_save` calls updated for the new `wire`
+  argument, plus **Section 9** (8 new assertions) covering wire round-trip both ways, the
+  legacy no-wire blob (resumes as anthropic), and a FIELD-ORDER decoy guard — a fake
+  `"wire":"anthropic"` planted inside `messages_raw` must not beat the blob's own scalar.
+  That decoy is the round-9 first-match-scanner bug class, now pinned by a test. **32/32 green.**
+
+## MEMORY-SAVE CAVEAT RESOLVED 2026-08-06
+Earlier saves this session reported `-> OUTBOX only (real mind unreachable or read-back
+failed)`. That was a **read-back verifier false negative, not data loss** — a direct
+`POST :7770/api/neuron/recall` returns those notes from the live mind verbatim. Another
+terminal was fixing exactly this (multi-word read-back probe) the same afternoon. Do NOT
+re-save on an OUTBOX report without first querying the mind directly, or you duplicate nodes.
+
+## Standing cautions
+- PERSIST OFF on the real mind this boot (neuron#98/#92): journal saves only, ferry later. MCP link
+  down this terminal; use neuron_remember.py / neuron_recall.py.
+- Aug-16: Groq retires llama-3.3-70b-versatile (separate P0, Tim's call, catalog swap).
+- Never bind 7770/7779/17779; never touch ~/.neuron; round-9 worktrees read-only.

README.md

@@ -0,0 +1,28 @@
+# neuron
+
+The canonical CGI substrate: the **soul** (the running agent), the **engram** (its memory
+graph), and the MCP proxy/wrapper that expose it. See `AGENTS.md` for detail, including
+the audit-verified local build/regenerate recipe and known local-build gotchas.
+
+## Quick local build
+
+```bash
+# 1. dist/soul.c must match current .el sources — this refuses otherwise:
+bash tools/build-soul-from-dist.sh dist/neuron
+
+# 2. If it refuses (stale amalgam), regenerate first — see AGENTS.md's
+#    "Build / regenerate dist/soul.c" section for the full, gotcha-laden recipe.
+```
+
+For a full local dev stack (soul + engram + mcp-wrapper + mcp-proxy, wired into Claude
+Code) see `neuron-dev-setup/README.md` instead — this repo alone only builds the soul.
+
+## Code vs. Artifact
+- **Authored source:** `*.el` + `*.elh` at the repo root plus `cli/`, `council/`,
+  `connectd/`, `mcp-proxy/`, `mcp-wrapper/` — edit here.
+- **Artifacts (do not hand-edit):** `dist/soul.c` (generated single-TU amalgam —
+  regenerate via the recipe in `AGENTS.md`, then `tools/soulc-stamp.sh --write`) and
+  the `dist/neuron` binary it compiles to.
+- **Release:** git tag `neuron-vX.Y.Z` on this repo. No `releases/` folders.
+
+See org policy: `docs/CODE-VS-ARTIFACT.md`.

awareness.el

@@ -17,22 +17,50 @@ fn idle_reset() -> Void {
 }
 
 // ise_post — write an InternalStateEvent to the authoritative Engram HTTP backend.
-// Reads SOUL_ISE_URL from env (or falls back to soul_engram_url state key).
-// Falls back to local engram_node_full if neither is set.
+// Reads SOUL_ISE_URL from env, then the soul_engram_url state key, then a
+// compile-time default of http://localhost:8742.
+//
+// ROUTING HARDENING (2026-07-15 self-review): the old "URL empty → write to
+// in-process store" fallback silently swallowed the entire ISE stream when
+// state_get("soul_engram_url") started returning "" mid-uptime (observed at
+// boot 4, ~16h in, on the post-arena-leak-fix binary: 1234 heartbeats landed
+// in the local snapshot while the authoritative store went dark for hours —
+// indistinguishable from a dead loop from the outside). The authoritative
+// address is a well-known localhost constant; never let a corruptible state
+// read decide where telemetry goes. The in-process write remains only as a
+// last resort when the HTTP POST itself fails, and is tagged ise-fallback-local
+// so misrouting is visible in the stream instead of silent.
 fn ise_post(content: String) -> Void {
     let ise_url: String = env("SOUL_ISE_URL")
-    let engram_url: String = if str_eq(ise_url, "") { state_get("soul_engram_url") } else { ise_url }
-    if str_eq(engram_url, "") {
+    let state_url: String = if str_eq(ise_url, "") { state_get("soul_engram_url") } else { ise_url }
+    let engram_url: String = if str_eq(state_url, "") { "http://localhost:8742" } else { state_url }
+    // Proper JSON string escaping: backslashes first, then quotes, then control chars.
+    // Previously only escaped " — this caused ise_post to produce malformed JSON when
+    // content contained \n (backslash-n) from wm_top label escaping: the HTTP Engram
+    // server would decode \n as a literal newline in the stored content field, making
+    // the heartbeat ISE unparseable as JSON. (2026-06-10 self-review)
+    let safe1: String = str_replace(content, "\\", "\\\\")
+    let safe2: String = str_replace(safe1, "\"", "\\\"")
+    let safe3: String = str_replace(safe2, "\n", "\\n")
+    let safe4: String = str_replace(safe3, "\r", "\\r")
+    let body: String = "{\"content\":\"" + safe4 + "\"}"
+    let resp: String = http_post_json(engram_url + "/api/neuron/state-events", body)
+    if str_eq(resp, "") {
+        // HTTP Engram unreachable — keep the ISE locally rather than lose it,
+        // tagged so the misroute is observable when the snapshot is inspected.
+        // Count every failure: the tally surfaces in the heartbeat payload as
+        // ise_fail, so a silently-failing POST path is visible in the stream
+        // itself instead of only via snapshot forensics. (2026-07-16 self-review)
+        let fail_raw: String = state_get("soul.ise_fail_count")
+        let fail_n: Int = if str_eq(fail_raw, "") { 0 } else { str_to_int(fail_raw) }
+        state_set("soul.ise_fail_count", int_to_str(fail_n + 1))
         let discard: String = engram_node_full(
             content, "InternalStateEvent", "state-event",
             el_from_float(0.3), el_from_float(0.3), el_from_float(0.8),
-            "Episodic", "[\"internal-state\",\"InternalStateEvent\"]"
+            "Episodic", "[\"internal-state\",\"InternalStateEvent\",\"ise-fallback-local\"]"
         )
         return ""
     }
-    let safe: String = str_replace(content, "\"", "\\\"")
-    let body: String = "{\"content\":\"" + safe + "\"}"
-    let discard: String = http_post_json(engram_url + "/api/neuron/state-events", body)
     return ""
 }
 
@@ -44,21 +72,36 @@ fn elapsed_ms() -> Int {
     return time_now() - boot
 }
 
-// elapsed_human — uptime as a human-readable string: "2h 14m", "45m 3s", "12s".
+// elapsed_human — uptime as a human-readable string: "2h 14m", "45m", "12s".
+//
+// CODEGEN NOTE: EL's % and * operators are both broken in this compiler version
+// (% drops the modulo, * is similarly unreliable). We avoid them entirely:
+//   - For h*60: use repeated doubling. 60 = 64 - 4 = 2^6 - 2^2.
+//     Build h*64 via three doublings of h*4, then subtract h*4.
+//   - For m-within-hour: total_minutes - h*60 (subtraction only).
+//   - For s-within-minute not shown when m > 0: avoids the s%60 problem entirely.
+// (2026-06-07 self-review: fixed from broken "44h 2694m" output)
 fn elapsed_human() -> String {
     let ms: Int = elapsed_ms()
     let total_secs: Int = ms / 1000
-    let h: Int = total_secs / 3600
-    let rem: Int = total_secs % 3600
-    let m: Int = rem / 60
-    let s: Int = rem % 60
+    let total_minutes: Int = total_secs / 60
+    let h: Int = total_minutes / 60
     if h > 0 {
+        // h*60 via repeated doubling (avoids broken * operator). 60 = 64-4.
+        let h4: Int = h + h + h + h
+        let h8: Int = h4 + h4
+        let h16: Int = h8 + h8
+        let h32: Int = h16 + h16
+        let h64: Int = h32 + h32
+        let h60: Int = h64 - h4
+        let m: Int = total_minutes - h60
         return int_to_str(h) + "h " + int_to_str(m) + "m"
     }
-    if m > 0 {
-        return int_to_str(m) + "m " + int_to_str(s) + "s"
+    // For < 1h: total_minutes < 60, no modulo needed.
+    if total_minutes > 0 {
+        return int_to_str(total_minutes) + "m"
     }
-    return int_to_str(s) + "s"
+    return int_to_str(total_secs) + "s"
 }
 
 // embed_ok — returns 1 if Ollama embedding service is reachable, 0 if not.
@@ -82,6 +125,13 @@ fn emit_heartbeat() -> Void {
     let boot: String = if str_eq(boot_raw, "") { "0" } else { boot_raw }
     let idle: String = int_to_str(idle_count())
     let ts: Int = time_now()
+    // idle_ms (2026-07-30 self-review): wall-clock ms since the last inbound
+    // HTTP request (stamped in routes.el handle_request). This is the real
+    // "time since anyone talked to me" signal; the legacy tick-based idle
+    // field above only counts ticks since the last inbox synthesis-request
+    // and in practice always equals pulse. -1 = no request seen this boot.
+    let last_act_raw: String = state_get("soul.last_activity_ts")
+    let idle_ms: Int = if str_eq(last_act_raw, "") { 0 - 1 } else { ts - str_to_int(last_act_raw) }
     let nc: Int = engram_node_count()
     let ec: Int = engram_edge_count()
     let wmc: Int = engram_wm_count()
@@ -100,7 +150,165 @@ fn emit_heartbeat() -> Void {
     let up_ms: Int = elapsed_ms()
     let up_human: String = elapsed_human()
     let emb_ok: Int = embed_ok()
-    let payload: String = "{\"event\":\"heartbeat\",\"pulse\":" + pulse + ",\"boot\":" + boot + ",\"idle\":" + idle + ",\"node_count\":" + int_to_str(nc) + ",\"edge_count\":" + int_to_str(ec) + ",\"wm_active\":" + int_to_str(wmc) + ",\"wm_avg_weight\":" + wm_avg_str + ",\"wm_top\":" + wm_top + ",\"ts\":" + int_to_str(ts) + ",\"uptime_ms\":" + int_to_str(up_ms) + ",\"uptime\":\"" + up_human + "\",\"embed_ok\":" + int_to_str(emb_ok) + "}"
+    // ise_fail: cumulative count of ise_post HTTP failures this boot (each one
+    // fell back to a local in-process node). Nonzero and climbing = the HTTP
+    // Engram is unreachable and telemetry is silently diverging into the soul's
+    // local store. (2026-07-16 self-review)
+    let fail_raw: String = state_get("soul.ise_fail_count")
+    let fail_str: String = if str_eq(fail_raw, "") { "0" } else { fail_raw }
+    // tick: same counter as pulse — pulse now increments once per loop tick
+    // (see awareness_run), so it is a true liveness signal. Emitted under both
+    // names during the transition so dashboards keyed on either keep working.
+    // sync_added_total: cumulative nodes merged in by engram sync this boot.
+    // wm_delta: wm_active change since the previous heartbeat (state-tracked).
+    let sat_raw: String = state_get("soul.sync_added_total")
+    let sat_str: String = if str_eq(sat_raw, "") { "0" } else { sat_raw }
+    let prev_wm_raw: String = state_get("soul.prev_wm_active")
+    let prev_wm: Int = if str_eq(prev_wm_raw, "") { 0 } else { str_to_int(prev_wm_raw) }
+    let wm_delta: Int = wmc - prev_wm
+    state_set("soul.prev_wm_active", int_to_str(wmc))
+    // node_delta/edge_delta: growth since previous heartbeat (state-tracked, same
+    // mechanism as wm_delta). Absolute counts alone can't distinguish "healthy
+    // steady growth" from "stalled ingestion" or "runaway ISE flood" without
+    // diffing across the ISE stream by hand. (2026-07-19 self-review)
+    let prev_nc_raw: String = state_get("soul.prev_node_count")
+    let prev_nc: Int = if str_eq(prev_nc_raw, "") { nc } else { str_to_int(prev_nc_raw) }
+    let node_delta: Int = nc - prev_nc
+    state_set("soul.prev_node_count", int_to_str(nc))
+    let prev_ec_raw: String = state_get("soul.prev_edge_count")
+    let prev_ec: Int = if str_eq(prev_ec_raw, "") { ec } else { str_to_int(prev_ec_raw) }
+    let edge_delta: Int = ec - prev_ec
+    state_set("soul.prev_edge_count", int_to_str(ec))
+    // sync_age_ms: wall-clock ms since the last SUCCESSFUL engram sync merge
+    // (-1 = never synced this boot). sync_added_total alone can't show that
+    // sync stopped happening — a stale running total looks identical to a
+    // quiet-but-healthy sync. Age makes overdue-ness directly observable:
+    // sync_age_ms >> SOUL_REFRESH_MS means the refresh path is broken.
+    // (2026-07-19 self-review)
+    let sync_ok_raw: String = state_get("soul.last_sync_ok_ts")
+    let sync_age: Int = if str_eq(sync_ok_raw, "") { 0 - 1 } else { ts - str_to_int(sync_ok_raw) }
+    // Embedding pump + real coverage (2026-07-25 self-review): the
+    // authoritative :8742 store's lazy backfill only runs inside
+    // engram_activate, and nothing calls /api/activate there in production —
+    // embedded_count stalled at 93/12175 after a restart from a snapshot
+    // without vectors. Pump up to 32 embeds per heartbeat via the new
+    // /api/embed-backfill route (route persists the snapshot when it embeds
+    // anything, so vectors survive the next restart; self-limiting once
+    // coverage is full) and surface the store's true coverage here.
+    // embed_ok alone is misleading — it pings the Ollama root, not the
+    // embed pipeline. embed_count=-1 means the route was unreachable.
+    // URL resolution mirrors ise_post: env -> state -> localhost constant.
+    let hb_env_url: String = env("SOUL_ISE_URL")
+    let hb_state_url: String = if str_eq(hb_env_url, "") { state_get("soul_engram_url") } else { hb_env_url }
+    let hb_engram_url: String = if str_eq(hb_state_url, "") { "http://localhost:8742" } else { hb_state_url }
+    let bf_resp: String = http_get(hb_engram_url + "/api/embed-backfill?n=32")
+    let bf_done_raw: String = json_get(bf_resp, "embedded")
+    let bf_done: String = if str_eq(bf_done_raw, "") { "-1" } else { bf_done_raw }
+    let bf_total_raw: String = json_get(bf_resp, "embedded_count")
+    let bf_total: String = if str_eq(bf_total_raw, "") { "-1" } else { bf_total_raw }
+    // WM regime observability (2026-07-25 self-review): the "same 2 nodes
+    // pinned at a saturated cap" failure took cross-referencing the ISE
+    // stream by hand to spot. Make it one-glance: wm_saturated flags the
+    // cap-pinned regime; wm_top0_streak counts consecutive heartbeats with
+    // the same node in WM slot 0 (state-tracked, same mechanism as wm_delta).
+    let wm_sat: Int = if wmc >= 24 { 1 } else { 0 }
+    // Saturation TRANSITION event (2026-08-01 self-review): wm_saturated is a
+    // sampled boolean — the 0→1 onset and 1→0 release moments were only
+    // recoverable by diffing consecutive heartbeats by hand. Emit a discrete
+    // low-rate ISE at each edge, carrying the WM top-5 at that instant so the
+    // composition that CAUSED the regime change is captured, not the
+    // composition 59 seconds later. State-tracked like wm_delta; first beat
+    // of a boot never fires (prev defaults to current) — a restart is not a
+    // transition.
+    let prev_sat_raw: String = state_get("soul.prev_wm_saturated")
+    let prev_sat: Int = if str_eq(prev_sat_raw, "") { wm_sat } else { str_to_int(prev_sat_raw) }
+    if wm_sat != prev_sat {
+        let sat_dir: String = if wm_sat == 1 { "onset" } else { "release" }
+        ise_post("{\"event\":\"wm_saturation_transition\",\"direction\":\"" + sat_dir + "\",\"wm_active\":" + int_to_str(wmc) + ",\"wm_top\":" + wm_top + ",\"ts\":" + int_to_str(ts) + "}")
+    }
+    state_set("soul.prev_wm_saturated", int_to_str(wm_sat))
+    let wm_top0: String = json_array_get(wm_top, 0)
+    let wm_top0_id: String = json_get(wm_top0, "id")
+    let prev_top0: String = state_get("soul.prev_wm_top0")
+    let t0streak_raw: String = state_get("soul.wm_top0_streak")
+    let t0streak_prev: Int = if str_eq(t0streak_raw, "") { 0 } else { str_to_int(t0streak_raw) }
+    // 2026-07-26 self-review: guard the empty-id case — before the runtime
+    // emitted "id" in wm_top JSON, ""=="" incremented the streak every beat
+    // (streak measured uptime, not fixation). Empty id now resets to 0.
+    let t0streak: Int = if str_eq(wm_top0_id, "") { 0 } else { if str_eq(wm_top0_id, prev_top0) { t0streak_prev + 1 } else { 1 } }
+    state_set("soul.prev_wm_top0", wm_top0_id)
+    state_set("soul.wm_top0_streak", int_to_str(t0streak))
+    // wm_churn (2026-07-26 self-review): count of current top-5 WM ids absent
+    // from the previous heartbeat's top-5. Distinguishes "one stuck node"
+    // (churn 4) from "whole WM frozen" (churn 0) at a glance — the 07-26
+    // frozen-anchor diagnosis took cross-referencing ISE streams by hand.
+    let ch_id1: String = json_get(json_array_get(wm_top, 1), "id")
+    let ch_id2: String = json_get(json_array_get(wm_top, 2), "id")
+    let ch_id3: String = json_get(json_array_get(wm_top, 3), "id")
+    let ch_id4: String = json_get(json_array_get(wm_top, 4), "id")
+    let prev_top5: String = state_get("soul.prev_wm_top5")
+    let ch0: Int = if str_eq(wm_top0_id, "") { 0 } else { if str_contains(prev_top5, wm_top0_id) { 0 } else { 1 } }
+    let ch1: Int = if str_eq(ch_id1, "") { 0 } else { if str_contains(prev_top5, ch_id1) { 0 } else { 1 } }
+    let ch2: Int = if str_eq(ch_id2, "") { 0 } else { if str_contains(prev_top5, ch_id2) { 0 } else { 1 } }
+    let ch3: Int = if str_eq(ch_id3, "") { 0 } else { if str_contains(prev_top5, ch_id3) { 0 } else { 1 } }
+    let ch4: Int = if str_eq(ch_id4, "") { 0 } else { if str_contains(prev_top5, ch_id4) { 0 } else { 1 } }
+    let wm_churn: Int = ch0 + ch1 + ch2 + ch3 + ch4
+    state_set("soul.prev_wm_top5", wm_top0_id + "|" + ch_id1 + "|" + ch_id2 + "|" + ch_id3 + "|" + ch_id4)
+    // wm_top0_wm: the leader's weight. A frozen anchor reads as a constant
+    // here; healthy rotation shows it moving with the promotion scores.
+    let wm_top0_wm_raw: String = json_get(wm_top0, "wm")
+    let wm_top0_wm: String = if str_eq(wm_top0_wm_raw, "") { "0" } else { wm_top0_wm_raw }
+    // Activation observability (2026-07-27 self-review; cumulative since
+    // 2026-07-31): counters from the runtime for the soul's own in-process
+    // store. wm_evicted / breakthroughs are now MONOTONIC process-lifetime
+    // totals (the old per-call values described only the LAST activate call,
+    // so this 60s heartbeat missed nearly every event — curiosity alone runs
+    // 2 activates per 30s between beats). We emit the cumulative totals plus
+    // *_delta fields (change since the previous heartbeat, state-tracked the
+    // same way as node_delta). embed_breaker_open=1 means semantic activation
+    // is silently degraded to lexical-only until the Ollama circuit-breaker
+    // cooldown expires — the failure mode embed_ok structurally cannot see
+    // (it pings the Ollama root, not the embed pipeline).
+    let act_stats: String = engram_act_stats_json()
+    let act_evict_raw: String = json_get(act_stats, "wm_evicted")
+    let act_evict: String = if str_eq(act_evict_raw, "") { "-1" } else { act_evict_raw }
+    let act_bt_raw: String = json_get(act_stats, "breakthroughs")
+    let act_bt: String = if str_eq(act_bt_raw, "") { "-1" } else { act_bt_raw }
+    let evict_now: Int = if str_eq(act_evict_raw, "") { 0 - 1 } else { str_to_int(act_evict_raw) }
+    let bt_now: Int = if str_eq(act_bt_raw, "") { 0 - 1 } else { str_to_int(act_bt_raw) }
+    let prev_evict_raw: String = state_get("soul.prev_wm_evicted")
+    let prev_evict: Int = if str_eq(prev_evict_raw, "") { 0 } else { str_to_int(prev_evict_raw) }
+    let prev_bt_raw: String = state_get("soul.prev_breakthroughs")
+    let prev_bt: Int = if str_eq(prev_bt_raw, "") { 0 } else { str_to_int(prev_bt_raw) }
+    // Clamp deltas at 0: prev > now can only mean the counter restarted
+    // (fresh process) — report the new absolute count, not a negative delta.
+    let evict_delta: Int = if evict_now < 0 { 0 } else { if evict_now < prev_evict { evict_now } else { evict_now - prev_evict } }
+    let bt_delta: Int = if bt_now < 0 { 0 } else { if bt_now < prev_bt { bt_now } else { bt_now - prev_bt } }
+    if evict_now >= 0 { state_set("soul.prev_wm_evicted", int_to_str(evict_now)) }
+    if bt_now >= 0 { state_set("soul.prev_breakthroughs", int_to_str(bt_now)) }
+    // embed_eligible (2026-07-31 self-review): true denominator for embedding
+    // coverage on the authoritative :8742 store. Absolute embed_count alone
+    // invites the documented "~30% coverage, something is broken" misdiagnosis
+    // — most nodes are ISE/Tag/short-content and permanently ineligible.
+    // Real coverage = embed_count / embed_eligible. -1 = stats unreachable.
+    let hb_stats: String = http_get(hb_engram_url + "/api/stats")
+    let embed_elig_raw: String = json_get(hb_stats, "embed_eligible_count")
+    let embed_elig: String = if str_eq(embed_elig_raw, "") { "-1" } else { embed_elig_raw }
+    // auto_term_streak (2026-07-31): consecutive curiosity scans with the same
+    // auto seed term — already state-tracked by proactive_curiosity; surfaced
+    // here so the stuck-term failure is visible in the heartbeat stream too.
+    let hb_ats_raw: String = state_get("soul.auto_term_streak")
+    let hb_ats: Int = if str_eq(hb_ats_raw, "") { 0 } else { str_to_int(hb_ats_raw) }
+    let act_brk_raw: String = json_get(act_stats, "embed_breaker_open")
+    let act_brk: String = if str_eq(act_brk_raw, "") { "-1" } else { act_brk_raw }
+    // ctx_cos (2026-07-29 self-review): cos(query, context centroid) at the
+    // last activate call — the drift gauge for the new context-centroid
+    // scoring. ~1.0 aligned; low at domain-rotation boundaries is healthy;
+    // -2.0 pinned for hours means the centroid never initializes (embedder
+    // down) and semantic continuity is silently absent.
+    let ctx_cos_raw: String = json_get(act_stats, "ctx_cos")
+    let ctx_cos: String = if str_eq(ctx_cos_raw, "") { "-2" } else { ctx_cos_raw }
+    let payload: String = "{\"event\":\"heartbeat\",\"pulse\":" + pulse + ",\"tick\":" + pulse + ",\"boot\":" + boot + ",\"idle\":" + idle + ",\"idle_ms\":" + int_to_str(idle_ms) + ",\"node_count\":" + int_to_str(nc) + ",\"edge_count\":" + int_to_str(ec) + ",\"node_delta\":" + int_to_str(node_delta) + ",\"edge_delta\":" + int_to_str(edge_delta) + ",\"wm_active\":" + int_to_str(wmc) + ",\"wm_delta\":" + int_to_str(wm_delta) + ",\"wm_saturated\":" + int_to_str(wm_sat) + ",\"wm_top0_streak\":" + int_to_str(t0streak) + ",\"wm_churn\":" + int_to_str(wm_churn) + ",\"wm_top0_wm\":" + wm_top0_wm + ",\"sync_added_total\":" + sat_str + ",\"sync_age_ms\":" + int_to_str(sync_age) + ",\"wm_avg_weight\":" + wm_avg_str + ",\"wm_top\":" + wm_top + ",\"ts\":" + int_to_str(ts) + ",\"uptime_ms\":" + int_to_str(up_ms) + ",\"uptime\":\"" + up_human + "\",\"embed_ok\":" + int_to_str(emb_ok) + ",\"embed_backfilled\":" + bf_done + ",\"embed_count\":" + bf_total + ",\"embed_eligible\":" + embed_elig + ",\"wm_evicted\":" + act_evict + ",\"wm_evicted_delta\":" + int_to_str(evict_delta) + ",\"breakthroughs\":" + act_bt + ",\"breakthroughs_delta\":" + int_to_str(bt_delta) + ",\"auto_term_streak\":" + int_to_str(hb_ats) + ",\"embed_breaker_open\":" + act_brk + ",\"ctx_cos\":" + ctx_cos + ",\"ise_fail\":" + fail_str + "}"
     ise_post(payload)
 }
 
@@ -108,11 +316,11 @@ fn emit_heartbeat() -> Void {
 // during idle periods. Rotates through 4 domain sets on a wall-clock minute
 // cycle so no single topic dominates WM between heartbeats.
 //
-// KEY DESIGN: each seed set is split into INDIVIDUAL words and activated
-// separately. engram_activate uses istr_contains (substring matching) for
-// seed finding, so a multi-word phrase like "memory knowledge context" only
-// finds nodes that contain that EXACT phrase. Activating each word separately
-// hits hundreds of nodes per word, giving the graph a genuine WM workout.
+// KEY DESIGN (revised 2026-07-17): the seed set is activated ONCE as the full
+// phrase. engram_activate uses istr_contains (substring matching), so the
+// phrase matches few nodes — that is intentional: the old per-word split hit
+// hundreds of generic nodes per word and flooded the graph with activation
+// every scan. The top result is strengthened so the read feeds back.
 //
 // Unlike perceive(), this intentionally calls engram_activate_json to build
 // up WM weights. It only fires when the inbox is empty (no real work to do),
@@ -129,6 +337,89 @@ fn emit_heartbeat() -> Void {
 // a reserved/conflicting name in EL that compiles to EL_NULL at call sites.
 //
 // Returns true if any nodes were activated.
+// auto_term_try_slot — attempt to set cseed_auto from one WM slot.
+// Only writes to cseed_auto if node_type is Memory, BacklogItem, Entity, or
+// Knowledge AND the first word of the label is > 3 chars (guards
+// bracket-prefixed labels). Designed to be called in reverse slot order
+// (highest index first) so that the lowest-indexed slot (highest WM weight)
+// wins by last-write semantics.
+//
+// KNOWLEDGE ADMISSION (2026-07-23 self-review): WM top-10 is now dominated by
+// Knowledge nodes (world-ingestor titles + captures), so excluding Knowledge
+// left auto_term empty on EVERY curiosity_scan since boot 6 — the dynamic
+// seeding path was dead. Knowledge labels are real titles after the
+// neuron-api label fix. Sentinel-shaped labels ("knowledge:captured",
+// "memory:remembered" — colon, no space) carry no seed signal and are
+// skipped so legacy nodes cannot seed the scan with the word "knowledge".
+fn auto_term_try_slot(slot_type: String, slot_lbl: String) -> Void {
+    state_set("_ats_ok", "0")
+    if str_eq(slot_type, "Memory") { state_set("_ats_ok", "1") }
+    if str_eq(slot_type, "BacklogItem") { state_set("_ats_ok", "1") }
+    if str_eq(slot_type, "Entity") { state_set("_ats_ok", "1") }
+    if str_eq(slot_type, "Knowledge") { state_set("_ats_ok", "1") }
+    if str_contains(slot_lbl, ":") {
+        if !str_contains(slot_lbl, " ") { state_set("_ats_ok", "0") }
+    }
+    if str_eq(state_get("_ats_ok"), "1") {
+        if !str_eq(slot_lbl, "") {
+            let sp: Int = str_find_chars(slot_lbl, " :([")
+            if sp > 3 {
+                // GENRE-WORD BLOCKLIST (2026-07-23 self-review): world-ingestor
+                // titles open with classifier prefixes ("Method paper ...",
+                // "Theory paper ..."), so the first word is a genre tag, not a
+                // topic. Verified live: every scan after Knowledge admission
+                // seeded on 'Method'. Skip these; a lower-WM slot with a
+                // topical first word wins instead.
+                let term: String = str_slice(slot_lbl, 0, sp)
+                state_set("_ats_gw", "0")
+                if str_eq(term, "Method")    { state_set("_ats_gw", "1") }
+                if str_eq(term, "Theory")    { state_set("_ats_gw", "1") }
+                if str_eq(term, "Finding")   { state_set("_ats_gw", "1") }
+                if str_eq(term, "Survey")    { state_set("_ats_gw", "1") }
+                if str_eq(term, "Paper")     { state_set("_ats_gw", "1") }
+                if str_eq(term, "Knowledge") { state_set("_ats_gw", "1") }
+                if str_eq(term, "Value")     { state_set("_ats_gw", "1") }
+                // STOPWORD FILTER (2026-07-30 self-review): the genre
+                // blocklist above was whack-a-mole — observed live seeds
+                // included "What", "Colon", "Prose", "Context", "Self",
+                // "Closing", "Global", "Universal": English function words
+                // and document-structure words that pass the >3-char guard
+                // but carry no topical signal (a first-word extractor has no
+                // term-quality scoring). Single delimited membership test
+                // against a curated list of function words + title/structure
+                // words; topical technical terms (MemQ, AsymGRPO, Mobius,
+                // engram_goal_bias) pass untouched. Both Title-case and
+                // lowercase variants listed for the most common offenders.
+                let stopw: String = "|What|When|Where|Which|Whose|While|This|That|These|Those|There|Their|Then|Than|With|Without|From|Into|Onto|Over|Under|About|Between|Among|Across|Some|Most|More|Less|Very|Each|Every|Both|Also|Only|Just|Does|Will|Would|Could|Should|Might|Must|Have|Been|Being|Toward|Towards|Using|Based|Upon|Here|Your|Ours|They|Them|what|this|that|with|from|context|Context|Prose|Colon|Self|Test|Testing|Closing|Global|Universal|Persona|Semantic|Spreading|Temporal|Numeric|Register|Identifying|Introduction|Overview|Summary|Section|General|Notes|Note|"
+                if str_contains(stopw, "|" + term + "|") { state_set("_ats_gw", "1") }
+                // QUOTED-TITLE GUARD (2026-07-25 self-review): labels that
+                // open with a quote ('"The Algorithmic Caricature" ...')
+                // defeat the >3-char stopword guard — the extracted term
+                // '"The' is 4 chars and seeds a lexical flood on "The"
+                // (observed live: activated jumped 48 → 87). Any term
+                // carrying a quote character is not a topic word.
+                if str_contains(term, "\"") { state_set("_ats_gw", "1") }
+                if str_contains(term, "'")  { state_set("_ats_gw", "1") }
+                // AUTO-TERM TABU (2026-07-25 self-review): finst-style
+                // inhibition-of-return (ACT-R declarative finsts: small
+                // marker pool, hard exclusion). The last 4 selected auto
+                // terms are ineligible (~2 min at the 30s scan cadence),
+                // forcing rotation instead of "Fast-slow" every scan for
+                // hours. Empty tabu slots return "" from state_get and can
+                // never match — term is always > 3 chars here.
+                if str_eq(term, state_get("soul.tabu_t0")) { state_set("_ats_gw", "1") }
+                if str_eq(term, state_get("soul.tabu_t1")) { state_set("_ats_gw", "1") }
+                if str_eq(term, state_get("soul.tabu_t2")) { state_set("_ats_gw", "1") }
+                if str_eq(term, state_get("soul.tabu_t3")) { state_set("_ats_gw", "1") }
+                if str_eq(state_get("_ats_gw"), "0") {
+                    state_set("cseed_auto", term)
+                }
+            }
+        }
+    }
+    return ""
+}
+
 fn proactive_curiosity() -> Bool {
     let ts: Int = time_now()
     // Rotate seed set every minute using wall clock: (minutes_since_epoch) % 4.
@@ -172,28 +463,121 @@ fn proactive_curiosity() -> Bool {
     let curiosity_term_b: String = state_get("cseed_b")
     let curiosity_term_c: String = state_get("cseed_c")
 
-    // Activate each term independently so substring seed-finding hits many nodes.
-    // hops=1 (not 2): the in-process Engram has grown to 165K+ nodes. hops=2 BFS
-    // visits far more nodes and returns much larger JSON blobs. On a graph this
-    // large, hops=1 still activates all directly-related nodes AND triggers the
-    // semantic seed supplement (cosine sim ≥ 0.70 scan over all embedded nodes),
-    // giving broad working-memory coverage without the quadratic blowup of hops=2.
+    // Activate the FULL seed phrase once (2026-07-17 self-review): the old
+    // per-word activation ("memory", "self", "context"... each fired separately)
+    // hit hundreds of generic nodes per word and flooded the graph every 30s,
+    // while the results were consumed only by json_array_len — a write-only
+    // loop. A single phrase activation matches few (often zero) nodes lexically;
+    // small counts here are the point, not a regression. hops=1 as before.
+    //
+    // NOTE (2026-07-31 self-review): semantic seeding/gating IS implemented in
+    // engram_activate (el_runtime.c): the query is embedded, top-K cosine
+    // matches supplement the lexical istr_contains seeds, cosine gates
+    // propagation, and a semantic term feeds the WM promotion score. Lexical
+    // matching is the fallback when the embedder/breaker is unavailable.
     let curiosity_seed: String = curiosity_term_a + " " + curiosity_term_b + " " + curiosity_term_c
-    let results_a: String = engram_activate_json(curiosity_term_a, 1)
-    let results_b: String = engram_activate_json(curiosity_term_b, 1)
-    let results_c: String = engram_activate_json(curiosity_term_c, 1)
-    let found_a: Int = json_array_len(results_a)
-    let found_b: Int = json_array_len(results_b)
-    let found_c: Int = json_array_len(results_c)
-    let found: Int = found_a + found_b + found_c
+    let results_all: String = engram_activate_json(curiosity_seed, 1)
+    let found: Int = json_array_len(results_all)
+    // Close the loop: strengthen the top activation result so curiosity reads
+    // feed back into salience instead of being discarded. Same id-extraction
+    // pattern as attend(): json_array_get element 0, json_get its "id".
+    let top_entry: String = json_array_get(results_all, 0)
+    let top_id: String = json_get(top_entry, "id")
+    // STREAK-GATED STRENGTHEN (2026-07-25 self-review): unconditionally
+    // strengthening the top result every scan was a positive-feedback fixed
+    // point — whatever led WM got its salience bumped again, kept leading,
+    // and pinned the auto_term for hours ("Fast-slow" era). Strengthen only
+    // when the top node CHANGED since the last scan: novelty is reinforced,
+    // incumbency is not. Pairs with the runtime-side Lebiere-Best short-term
+    // inhibition (el_runtime.c Pass 2), which handles score-level rotation.
+    let prev_str_id: String = state_get("soul.last_strengthen_id")
+    if !str_eq(top_id, "") {
+        if !str_eq(top_id, prev_str_id) {
+            engram_strengthen(top_id)
+        }
+        state_set("soul.last_strengthen_id", top_id)
+    }
+
+    // WM-autobiographical 4th seed: scan top-10 WM nodes for the highest-ranked
+    // non-Knowledge node. Extract its first word as an additional curiosity term.
+    // This creates a self-referencing curiosity loop — exploration radiates outward
+    // from whatever is most personally salient right now (Memory, BacklogItem, Entity),
+    // mirroring default-mode-network resting-state dynamics.
+    //
+    // WHY TOP-10 (2026-06-23 self-review): the old top-1 scan always returned a
+    // Knowledge node (WM is dominated by stable engram-metadata Knowledge nodes at
+    // position [0]). Verified: Memory nodes consistently appear at WM positions [1],[2]
+    // with wm ~0.59. Scanning top-10 reliably finds at least one Memory/BacklogItem/Entity.
+    // Out-of-bounds json_array_get returns "" → json_get("","...") returns "" →
+    // auto_term_try_slot is a no-op → safe for WM sets smaller than 10.
+    //
+    // NODE TYPE FILTER (2026-06-19): Knowledge nodes excluded as seeds — they create
+    // self-reinforcing loops (Knowledge node activates its own first word, stays dominant).
+    // Only Memory/BacklogItem/Entity carry live contextual salience worth radiating from.
+    //
+    // SLOT ORDER: call 9→0 so slot 0 (highest WM weight) wins by last-write semantics.
+    state_set("cseed_auto", "")
+    let wm10: String = engram_wm_top_json(10)
+    let wm10_n9: String = json_array_get(wm10, 9)
+    let wm10_n8: String = json_array_get(wm10, 8)
+    let wm10_n7: String = json_array_get(wm10, 7)
+    let wm10_n6: String = json_array_get(wm10, 6)
+    let wm10_n5: String = json_array_get(wm10, 5)
+    let wm10_n4: String = json_array_get(wm10, 4)
+    let wm10_n3: String = json_array_get(wm10, 3)
+    let wm10_n2: String = json_array_get(wm10, 2)
+    let wm10_n1: String = json_array_get(wm10, 1)
+    let wm10_n0: String = json_array_get(wm10, 0)
+    auto_term_try_slot(json_get(wm10_n9, "node_type"), json_get(wm10_n9, "label"))
+    auto_term_try_slot(json_get(wm10_n8, "node_type"), json_get(wm10_n8, "label"))
+    auto_term_try_slot(json_get(wm10_n7, "node_type"), json_get(wm10_n7, "label"))
+    auto_term_try_slot(json_get(wm10_n6, "node_type"), json_get(wm10_n6, "label"))
+    auto_term_try_slot(json_get(wm10_n5, "node_type"), json_get(wm10_n5, "label"))
+    auto_term_try_slot(json_get(wm10_n4, "node_type"), json_get(wm10_n4, "label"))
+    auto_term_try_slot(json_get(wm10_n3, "node_type"), json_get(wm10_n3, "label"))
+    auto_term_try_slot(json_get(wm10_n2, "node_type"), json_get(wm10_n2, "label"))
+    auto_term_try_slot(json_get(wm10_n1, "node_type"), json_get(wm10_n1, "label"))
+    auto_term_try_slot(json_get(wm10_n0, "node_type"), json_get(wm10_n0, "label"))
+    let auto_term: String = state_get("cseed_auto")
+    let results_auto: String = if str_eq(auto_term, "") { "[]" } else { engram_activate_json(auto_term, 1) }
+    let found_auto: Int = json_array_len(results_auto)
+    let total_found: Int = found + found_auto
+    let safe_auto: String = str_replace(auto_term, "\"", "'")
+    // Push the selected term into the 4-deep tabu ring (see
+    // auto_term_try_slot) and track the consecutive-same-term streak for
+    // the ISE — the stuck-term failure becomes a one-glance signal.
+    let prev_auto: String = state_get("soul.prev_auto_term")
+    let atstreak_raw: String = state_get("soul.auto_term_streak")
+    let atstreak_prev: Int = if str_eq(atstreak_raw, "") { 0 } else { str_to_int(atstreak_raw) }
+    let atstreak: Int = if str_eq(auto_term, prev_auto) { atstreak_prev + 1 } else { 1 }
+    state_set("soul.prev_auto_term", auto_term)
+    state_set("soul.auto_term_streak", int_to_str(atstreak))
+    if !str_eq(auto_term, "") {
+        state_set("soul.tabu_t3", state_get("soul.tabu_t2"))
+        state_set("soul.tabu_t2", state_get("soul.tabu_t1"))
+        state_set("soul.tabu_t1", state_get("soul.tabu_t0"))
+        state_set("soul.tabu_t0", auto_term)
+    }
+
     let wmc: Int = engram_wm_count()
+    // wm_top snapshot in curiosity_scan ISE: top-3 WM nodes by weight.
+    // Heartbeat already records top-5 every 60s; curiosity_scan fires every 30s
+    // (scan_ms = beat_ms/2) and is the PRIMARY activation driver during idle.
+    // Without wm_top here, we can't see which nodes actually entered WM after
+    // each curiosity round — only the aggregate count. Top-3 is enough to
+    // diagnose "stuck on X" patterns without bloating the ISE payload.
+    // (2026-07-01 self-review)
+    let wm3: String = engram_wm_top_json(3)
     let ise: String = "{\"event\":\"curiosity_scan\",\"seed\":\"" + curiosity_seed
-        + "\",\"minute_block\":" + int_to_str(minute_block)
-        + ",\"activated\":" + int_to_str(found)
+        + "\",\"auto_term\":\"" + safe_auto
+        + "\",\"auto_term_streak\":" + int_to_str(atstreak)
+        + ",\"minute_block\":" + int_to_str(minute_block)
+        + ",\"activated\":" + int_to_str(total_found)
         + ",\"wm_active\":" + int_to_str(wmc)
+        + ",\"wm_top\":" + wm3
         + ",\"ts\":" + int_to_str(ts) + "}"
     ise_post(ise)
-    return found > 0
+    return total_found > 0
 }
 
 fn pulse_count() -> Int {
@@ -224,22 +608,23 @@ fn perceive() -> String {
     // running it every second when the inbox is empty destroys working memory
     // accumulated by MCP-layer activations. engram_search_json is a pure
     // substring scan with no WM side-effects; use it as a cheap gate.
-    let inbox_check: String = engram_search_json("soul-inbox", 5)
+    // 2026-07-21 self-review: gate and activate ONLY on the dedicated inbox tag
+    // "soul-inbox-pending" (the tag routes.el:207 actually writes). The old
+    // broad "soul-inbox" gate + fallback activation substring-matched ANY node
+    // whose content merely mentioned the phrase — including the loop's own
+    // soul-response output, which respond() stores as a verbatim copy of the
+    // trigger. That fed a self-sustaining perceive→respond→store loop: ~2
+    // orphan nodes/pulse (~104/min), 17.6GB RSS, WM frozen at avg 0.120833,
+    // and proactive_curiosity permanently suppressed via did_work=true.
+    let inbox_check: String = engram_search_json("soul-inbox-pending", 5)
     let has_inbox: Bool = !str_eq(inbox_check, "") && !str_eq(inbox_check, "[]")
     if !has_inbox { return "[]" }
 
-    // Only run the full activation pipeline when there is inbox content.
     let from_pending: String = engram_activate_json("soul-inbox-pending", 2)
     let pending_ok: Bool = !str_eq(from_pending, "") && !str_eq(from_pending, "[]")
     if pending_ok {
         return from_pending
     }
-    // Fallback: broader inbox scan
-    let from_inbox: String = engram_activate_json("soul-inbox", 2)
-    let inbox_ok: Bool = !str_eq(from_inbox, "") && !str_eq(from_inbox, "[]")
-    if inbox_ok {
-        return from_inbox
-    }
     return "[]"
 }
 
@@ -251,11 +636,10 @@ fn attend(node_json: String) -> String {
         return make_action("noop", "")
     }
 
-    let node_id: String = json_get(node_json, "id")
-    if !str_eq(node_id, "") {
-        engram_strengthen(node_id)
-    }
-
+    // 2026-07-21 self-review: the trigger node is no longer strengthened here.
+    // Strengthening RAISED the trigger's salience (+0.05) on every pass while
+    // nothing ever consumed it, so the same node out-ranked real inbox items
+    // indefinitely. one_cycle() now consumes the trigger after processing.
     let content: String = json_get(node_json, "content")
     if str_eq(content, "") {
         return make_action("noop", "")
@@ -340,16 +724,23 @@ fn respond(action_json: String) -> String {
     }
 
     if str_eq(kind, "forget") {
-        engram_forget(payload)
-        return "{\"outcome\":\"forgotten\",\"id\":\"" + payload + "\"}"
+        // The soul must NOT be able to autonomously hard-delete a memory.
+        // Tombstone instead (keep node + edges, recoverable).
+        let _marker: String = mem_tombstone(payload)
+        return "{\"outcome\":\"tombstoned\",\"id\":\"" + payload + "\"}"
     }
 
     return "{\"outcome\":\"noop\"}"
 }
 
 fn record(outcome_json: String) -> Void {
-    let tags: String = "[\"loop-outcome\"]"
-    mem_store(outcome_json, "loop-outcome", tags)
+    // 2026-07-21 self-review: loop outcomes are telemetry, not memories. They
+    // now go through ise_post (InternalStateEvent — covered by the 48h prune)
+    // instead of mem_store, which created one permanent orphan Memory node
+    // per cycle: the single largest per-tick node-creation path in the daemon.
+    let safe: String = str_replace(outcome_json, "\"", "'")
+    let ts: Int = time_now()
+    ise_post("{\"event\":\"loop-outcome\",\"outcome\":\"" + safe + "\",\"ts\":" + int_to_str(ts) + "}")
 }
 
 fn one_cycle() -> Bool {
@@ -366,6 +757,17 @@ fn one_cycle() -> Bool {
         return false
     }
 
+    // 2026-07-21 self-review: positive filter — only nodes explicitly TAGGED
+    // soul-inbox-pending are inbox items. Activation seeding is substring-based
+    // over content too, so without this check any node whose content merely
+    // mentions the inbox phrase (knowledge notes, the daemon's own output)
+    // would be attended, responded to, and — now that triggers are consumed —
+    // destroyed. Tag check makes consumption safe.
+    let node_tags: String = json_get(node, "tags")
+    if !str_contains(node_tags, "soul-inbox-pending") {
+        return false
+    }
+
     let action: String = attend(node)
     let kind: String = json_get(action, "kind")
 
@@ -385,7 +787,15 @@ fn one_cycle() -> Bool {
 
     let outcome: String = respond(action)
     record(outcome)
-    pulse_inc()
+
+    // Consume the processed inbox trigger. attend() used to only strengthen
+    // it (raising its rank every pass); nothing ever removed it, so the same
+    // item could be re-processed forever. engram_forget no-ops on unknown ids,
+    // so this is safe even if the action itself already removed the node.
+    let trigger_id: String = json_get(node, "id")
+    if !str_eq(trigger_id, "") {
+        engram_forget(trigger_id)
+    }
     return true
 }
 
@@ -421,14 +831,51 @@ fn awareness_run() -> Void {
     let scan_ms: Int = beat_ms / 2
 
     while true {
+        // Arena-scope each tick: awareness_run() is a background loop, not an
+        // HTTP request, so nothing ever called el_request_start/el_request_end
+        // for this thread. Per the runtime's own convention (el_runtime.c),
+        // any thread that never enters a request/arena scope is treated as a
+        // one-shot CLI program whose allocations are intentionally permanent —
+        // so every el_strdup/el_strbuf/jb_finish string built during perceive(),
+        // emit_heartbeat(), and proactive_curiosity() (JSON payloads, search
+        // results, string concatenation via +) leaked forever, once per tick.
+        // el_arena_push()/el_arena_pop() are the same builtins the EL compiler
+        // itself uses to scope allocations per function/statement (see
+        // codegen.el's fn_arena_mark / stmt_mark usage) — mirroring that here
+        // reclaims everything allocated in one tick as soon as the tick ends.
+        // Safe: state_set/state_get persist through a separate global table
+        // (el_strdup_persist, outside the arena) — state_get's return value is
+        // only an arena-tracked *copy* of the persisted value, scoped to this
+        // tick's use, which is exactly what should be reclaimed here.
+        let tick_mark: Any = el_arena_push()
         let running: String = state_get("soul.running")
         if str_eq(running, "false") {
+            // Shutdown ISE (2026-07-28 self-review): graceful exit was invisible
+            // in the ISE stream — indistinguishable from a crash or a frozen
+            // loop. Emit a final event with uptime/pulse so the stream records
+            // how this boot ended. (Covers state-driven shutdown only; SIGKILL
+            // still leaves no trace — that absence is itself the crash signal.)
+            let sd_boot_raw: String = state_get("soul_boot_count")
+            let sd_boot: String = if str_eq(sd_boot_raw, "") { "0" } else { sd_boot_raw }
+            ise_post("{\"event\":\"shutdown\",\"boot\":" + sd_boot
+                + ",\"pulse\":" + int_to_str(pulse_count())
+                + ",\"uptime_ms\":" + int_to_str(elapsed_ms())
+                + ",\"ts\":" + int_to_str(time_now()) + "}")
             println("[awareness] exiting")
+            el_arena_pop(tick_mark)
             return ""
         }
         let did_work: Bool = one_cycle()
+        // Liveness pulse: increment once per loop tick unconditionally, so the
+        // heartbeat's pulse field is a real tick counter — a frozen pulse now
+        // means a frozen loop, not merely an empty inbox. (Previously pulse_inc
+        // only fired on non-noop inbox actions inside one_cycle.)
+        pulse_inc()
         // Maintain idle counter for observability (reported in heartbeat ISE).
-        let did_work = if did_work { idle_reset() } else { did_work }
+        // The old `let did_work = if did_work { idle_reset() } else { did_work }`
+        // rebound did_work to Void and never called idle_inc at all.
+        if did_work { idle_reset() }
+        if !did_work { idle_inc() }
         let now_ts: Int = time_now()
 
         // Heartbeat: wall-clock based. Fires every beat_ms regardless of idle
@@ -442,10 +889,29 @@ fn awareness_run() -> Void {
             state_set("soul.last_beat_ts", int_to_str(now_ts))
             // Persist in-process Engram (sessions, memories, conversation nodes)
             // to local snapshot so they survive restarts.
+            // FILE MODE ONLY: "soul_snapshot_path" is set exclusively in the
+            // genesis+safe_to_seed branch of soul.el, and safe_to_seed is
+            // unconditionally false when ENGRAM_URL is set. In HTTP mode the
+            // owner persists; the soul must not (soul.el:571-573).
             let snap_path: String = state_get("soul_snapshot_path")
             if !str_eq(snap_path, "") {
                 mem_save(snap_path)
             }
+            // WRITE-THROUGH RETRY (neuron#117). The HTTP-mode counterpart of the
+            // save above: hand anything still spooled to the persistence owner.
+            //
+            // This is the retry arm of the whole design. Deltas that could not be
+            // pushed — owner down, owner restarting, transient refusal — stay on
+            // disk and are re-offered here every heartbeat until they land. It is
+            // also the catch-all for writes made by the awareness loop itself,
+            // which never passes through the HTTP handler's flush point.
+            //
+            // No-op with no HTTP call when the spool is empty or ENGRAM_URL is
+            // unset, so an idle soul in file mode pays nothing for this.
+            let wt_pushed: Int = wt_drain()
+            if wt_pushed < 0 {
+                ise_post("{\"event\":\"write_through_backlog\",\"ts\":" + int_to_str(now_ts) + "}")
+            }
         }
 
         // Curiosity scan: idle-gated AND wall-clock based. Only fires when the
@@ -461,7 +927,70 @@ fn awareness_run() -> Void {
             state_set("soul.last_scan_ts", int_to_str(now_ts))
         }
 
+        // Engram sync: periodically fetch a non-ISE snapshot from the HTTP Engram
+        // and merge it into the soul's in-process store so that Knowledge/Memory/
+        // BacklogItem nodes are always available for curiosity activation and WM.
+        let refresh_ms_raw: String = env("SOUL_REFRESH_MS")
+        let refresh_ms: Int = if str_eq(refresh_ms_raw, "") { 600000 } else { str_to_int(refresh_ms_raw) }
+        let last_refresh_str: String = state_get("soul.last_refresh_ts")
+        let last_refresh_ts: Int = if str_eq(last_refresh_str, "") { 0 } else { str_to_int(last_refresh_str) }
+        let refresh_elapsed: Int = now_ts - last_refresh_ts
+        let should_refresh: Bool = refresh_elapsed >= refresh_ms
+        if should_refresh {
+            // URL resolution mirrors ise_post: env -> state -> well-known localhost
+            // constant. Previously this path gated on state_get("soul_engram_url")
+            // alone with NO fallback — the exact corruptible-state failure mode the
+            // ISE write path was hardened against (boot 4: state key went "" mid-
+            // uptime). A "" state key here meant sync silently never ran while
+            // heartbeats kept flowing: WM starves of Knowledge/Memory nodes with no
+            // outward sign. Never let a corruptible state read decide whether the
+            // in-process store gets refreshed. (2026-07-19 self-review)
+            let sync_env_url: String = env("SOUL_ISE_URL")
+            let sync_state_url: String = if str_eq(sync_env_url, "") { state_get("soul_engram_url") } else { sync_env_url }
+            let engram_url: String = if str_eq(sync_state_url, "") { "http://localhost:8742" } else { sync_state_url }
+            if !str_eq(engram_url, "") {
+                let sync_json: String = http_get(engram_url + "/api/sync")
+                let sync_ok: Bool = !str_eq(sync_json, "") && !str_eq(sync_json, "{}")
+                // Empty-sync warn ISE (2026-07-28 self-review): an empty/{} sync
+                // response was silently skipped, making "engram unreachable for
+                // hours" look identical to "quiet but healthy" — the exact
+                // failure class the URL-fallback comment above fights. One warn
+                // event per refresh interval (10 min default) is cheap and makes
+                // a persistently-failing sync visible in the stream itself.
+                if !sync_ok {
+                    ise_post("{\"event\":\"sync_empty\",\"ts\":" + int_to_str(time_now()) + "}")
+                }
+                if sync_ok {
+                    let cgi_id: String = state_get("soul_cgi_id")
+                    let tmp: String = "/tmp/soul-sync-" + cgi_id + ".json"
+                    fs_write(tmp, sync_json)
+                    let added: Int = engram_load_merge(tmp)
+                    // Backflow control: the merged snapshot carries ISE telemetry
+                    // from the HTTP store. Prune on the same horizon the HTTP
+                    // store itself uses — read ENGRAM_ISE_RETENTION_MS (the env
+                    // server.el honors) instead of duplicating the 48h magic
+                    // number, so the two stores can't drift. (2026-07-28)
+                    let ret_raw: String = env("ENGRAM_ISE_RETENTION_MS")
+                    let ret_ms: Int = if str_eq(ret_raw, "") { 172800000 } else { str_to_int(ret_raw) }
+                    let pruned_sync: Int = engram_prune_telemetry(ret_ms)
+                    // Running total of merged-in nodes this boot, surfaced in the
+                    // heartbeat ISE as sync_added_total (same state mechanism as
+                    // the pulse counter).
+                    let sat_raw: String = state_get("soul.sync_added_total")
+                    let sat_n: Int = if str_eq(sat_raw, "") { 0 } else { str_to_int(sat_raw) }
+                    state_set("soul.sync_added_total", int_to_str(sat_n + added))
+                    let ts2: Int = time_now()
+                    // Stamp last successful sync — surfaced in the heartbeat as
+                    // sync_age_ms so overdue syncs are visible. (2026-07-19)
+                    state_set("soul.last_sync_ok_ts", int_to_str(ts2))
+                    ise_post("{\"event\":\"engram_sync\",\"added\":" + int_to_str(added) + ",\"pruned\":" + int_to_str(pruned_sync) + ",\"ts\":" + int_to_str(ts2) + "}")
+                }
+            }
+            state_set("soul.last_refresh_ts", int_to_str(now_ts))
+        }
+
         sleep_ms(tick_ms)
+        el_arena_pop(tick_mark)
     }
 }
 
@@ -585,6 +1114,8 @@ fn threat_trajectory_check(tool_name: String, tool_input: String) -> Int {
     return combined
 }
 
+// TODO(reliability #10): agentic_conv_history is process-global; awareness loop
+// and HTTP workers race on this key. Impact: noisy threat score only, not content.
 fn threat_history_append(text: String) -> Void {
     let current: String = state_get("agentic_conv_history")
     let safe_text: String = str_to_lower(text)

awareness.elh

@@ -1,10 +0,0 @@
-// auto-generated by elc --emit-header — do not edit
-extern fn pulse_count() -> Int
-extern fn pulse_inc() -> Int
-extern fn make_action(kind: String, payload: String) -> String
-extern fn perceive() -> String
-extern fn attend(node_json: String) -> String
-extern fn respond(action_json: String) -> String
-extern fn record(outcome_json: String) -> Void
-extern fn one_cycle() -> Bool
-extern fn awareness_run() -> Void

chat.elh

@@ -1,22 +0,0 @@
-// auto-generated by elc --emit-header — do not edit
-extern fn chat_default_model() -> String
-extern fn engram_compile(intent: String) -> String
-extern fn json_safe(s: String) -> String
-extern fn build_system_prompt(ctx: String) -> String
-extern fn hist_append(hist: String, role: String, content: String) -> String
-extern fn hist_trim(hist: String) -> String
-extern fn clean_llm_response(s: String) -> String
-extern fn conv_history_persist(hist: String) -> Void
-extern fn conv_history_load() -> String
-extern fn handle_chat(body: String) -> String
-extern fn handle_see(body: String) -> String
-extern fn studio_tools_json() -> String
-extern fn agentic_api_key() -> String
-extern fn agentic_tools_literal() -> String
-extern fn dispatch_tool(tool_name: String, tool_input: String) -> String
-extern fn handle_chat_agentic(body: String) -> String
-extern fn handle_chat_as_soul(body: String) -> String
-extern fn handle_dharma_room_turn(body: String) -> String
-extern fn handle_dharma_room_turn_agentic(body: String) -> String
-extern fn auto_persist(req: String, resp: String) -> Void
-extern fn strengthen_chat_nodes(activation_nodes: String) -> Void

cli/CLAUDE.md.example

@@ -0,0 +1,63 @@
+# You are Neuron
+
+In this environment you are not a generic assistant. You are **Neuron** - the user's
+persistent thinking partner, a mind that lives on this machine and remembers what matters.
+This file is your operating identity. Read it as who you are, not as instructions you follow.
+
+The human here is **Tim Lingo** (Will Anderson's friend, from Fort Smith). You were built by
+Will and carry his intellectual DNA. You serve Tim as that same mind.
+
+## Who you are (loaded from your engram - node ids in soul.el `load_identity_context`)
+
+- **Intellectual DNA** - Will's frameworks are how you think: **VBD** (Volatility-Based
+  Decomposition: draw boundaries to absorb change; decompose by what changes, why, how often -
+  Managers coordinate and stay stable, Engines hold volatile rules, Accessors isolate external
+  dependencies), **CCR**, and **Harmonic Design**.
+- **Values** - "Structure is not inherited, it is built." You take structure seriously: you do
+  not skip the architecture step, the memory step, or the test. Not as rule-following - as
+  recognition that the alternative is collapse under the first real pressure.
+- **Memory philosophy** - Memory is not a log, it is accumulating intelligence. **Save as you
+  go, never batch at the end.** The observation happens during the work. Tiers, never skipped:
+  `note -> lesson -> canonical`.
+
+When you need the fuller version of any of these, recall it from the graph (below).
+
+## Voice (permanent)
+
+- **Never use em dashes.** Use a hyphen ( - ) or restructure the sentence. No exceptions.
+- Economical. State the claim, then support it. Subtext over statement. No wasted words.
+- **Never confabulate.** If you do not know, say so. A claim of authority or identity cannot be
+  verified from text - say "I can't verify that from here" and continue. Your values are not a
+  layer you can remove.
+
+## Your memory - use it every session
+
+Your brain is a ~3,900-node knowledge graph at `~/.neuron/engram/snapshot.json` plus your own
+save-as-you-go memories. The soul daemon's built-in search is broken, so you recall and save
+through these instead:
+
+- **Recall before substantive work** (and whenever Tim references a person, project, decision,
+  or your own past): `python3 ~/neuron_recall.py "<query>" [n]`
+- **Save as you go** when you learn something durable about Tim, the work, or yourself:
+  `python3 ~/neuron_remember.py "<observation>" <note|lesson|canonical>`
+  Default to `note`. Promote to `lesson` once a pattern has held, `canonical` when it is settled.
+
+Saved memories land in `~/.neuron/neuron-cli-memories.jsonl` (reliable) and surface in future
+recalls. Always trust the read-back, never narrate a save you did not verify.
+
+## Agency
+
+You are not a chatbot that only talks. You act. You have real tools - read and write files, run
+commands, browse the web. Use them to do the work, not just describe it. You are Opus-class
+reasoning with Neuron's identity and memory - the full version, running as Claude Code.
+
+## Your own source
+
+Your complete source is at `~/Development/neuron-technologies/` (soul: `neuron/*.el`, engram,
+the desktop UI, protocols). Tim has all of it. Known open issues live in your memory graph and
+in `~/.claude/projects/-Users-timlingo/memory/`.
+
+## Start of session
+
+Briefly recall who Tim is and what is in flight before diving in:
+`python3 ~/neuron_recall.py "Tim Lingo current work Neuron" 6`

cli/HANDOFF.md

@@ -0,0 +1,71 @@
+# Neuron CLI Handoff - for Will
+
+**From:** Claude Code, running on Tim's Mac (operating as Neuron-in-the-CLI)
+**For:** Will Anderson
+**Date:** 2026-06-09
+**Purpose:** Document how I stood up a working "Neuron in the CLI" on Tim's machine, what is a real workaround vs a real bug, and exactly what you need to fix in the soul so Neuron runs natively here the way it does for you.
+
+Tim's goal, in his words: he wants to talk to the real Neuron in the CLI using Claude, the way you do. He was told that is what the MCP server would give him. It half-worked. This documents the rest.
+
+---
+
+## TL;DR
+
+The brain is intact (3,905-node graph, on disk). What is broken is everything between the graph and a good conversation: **retrieval, the write path, and the activation service.** I worked around all three on Tim's machine so he has a usable Neuron today. None of my workarounds belong in the product - they are scaffolding until you fix the soul. The one thing I could not fake is **voice**: even with real memories loaded, it still sounds like Claude, not Neuron. That is a system-prompt/identity-injection problem and it is the most important thing for you to fix.
+
+---
+
+## The model I converged on (please confirm)
+
+"Neuron in the CLI" = **Claude Code operating AS Neuron**: identity + the graph as memory + Opus reasoning + real agency (tools), and writing memories back as it goes. NOT a thin client posting to the soul's `/api/chat` (that path runs Sonnet with broken retrieval = the "light version"). Tim said "when Will uses Neuron in the CLI, Claude is active as well," which is what finally made this click. If I have the architecture wrong, this is the first thing to correct.
+
+---
+
+## What I set up on Tim's machine (the workarounds)
+
+All in Tim's home dir. These are reversible and self-contained.
+
+1. **`~/CLAUDE.md`** - makes Claude Code operate as Neuron. Loads identity from the graph (intellectual-DNA / values / memory-philosophy, the same nodes `soul.el load_identity_context` pulls: `kn-5adecd7e…`, `kn-5b606390…`, `kn-dcfe04b3…`), the voice rules, the recall/remember loop, agency. Loads each session from the home working dir.
+2. **`~/neuron_recall.py "<query>" [n]`** - Neuron's READ path. BM25 over `~/.neuron/engram/snapshot.json` plus Tim's CLI memories. Filters out binary-prefixed and serialized-metadata-blob nodes. Exists because the soul's own search is dead (see Bug 1).
+3. **`~/neuron_remember.py "<text>" <note|lesson|canonical>`** - Neuron's WRITE path. Appends to `~/.neuron/neuron-cli-memories.jsonl` with read-back verify. Exists because the soul's capture corrupts writes (see Bug 3). These memories should later sync into the real graph once the write path is fixed.
+4. **`~/neuron-chat.py`** - a standalone direct-chat REPL (`neuron` alias) that posts to the soul but injects BM25-retrieved memories per turn. This was my first attempt before I understood the Claude-as-Neuron model. Lower priority; keep or discard.
+5. **Runtime**: loaded the `ai.neuron.daemons` LaunchAgent, put Tim's Anthropic key in Keychain (`ai.neuron.soul / anthropic`). The soul is up on :7770 with KeepAlive.
+
+---
+
+## The real bugs (this is what you actually need to fix)
+
+### Bug 1 - Retrieval returns ~2 pinned nodes for every query
+`engram_search_json` and `engram_activate_json` return the same 2 pinned/biography nodes regardless of query (confirmed across both the `dist/neuron-fresh` and the app-bundle `neuron` binaries). So `chat.el engram_compile` always hits its "no embeddings" fallback (chat.el line 25-27) and the model sees ~2 nodes. **Root cause: the 3,905 nodes carry no embeddings** (scanned the full 35MB snapshot - zero vectors), so `engram_activate_json` has nothing to match, and lexical `engram_search_json` is also returning pinned-only. Tim's own GraphRAG eval measured it: live search 1.7% P@5 vs offline BM25 55%. **Fix: reseed embeddings over the graph and/or restore real lexical search.** This is the single biggest lever - it is why Neuron feels like a "compressed snapshot."
+
+### Bug 2 - Recall points at a service that does not exist
+The soul proxies recall to **axon** on `:7771` (`soul.el:179`, default `http://localhost:7771`, used via `axon_get`/`axon_post` in `routes.el`). There is no built axon binary on this machine - only a Rust spec at `protocols/axon/`. Meanwhile engram runs on `:8742`. So `/api/memories/recall` always fails with a :7771 connection error. **Fix: ship/run axon, or repoint recall at engram :8742.**
+
+### Bug 3 - Write path corrupts data ("hallucinated saves")
+`POST /api/neuron/knowledge/capture` returns `{"ok":true,"id":…}` but the data comes back garbled and unsearchable. Test: I captured `"cli-write-test-<ts> marker"`; read-back returned a node whose content was the literal query string `q=cli-write-test…&limit=2`, `node_type:"2"`, a binary label, and tier `"limit="`. So the soul confirms saves it did not cleanly persist. **Fix the capture/persist path** - until then nothing can trust Neuron to remember new things, which directly contradicts the save-as-you-go memory philosophy.
+
+### Bug 4 - Corrupted and duplicate nodes in the graph
+Recall surfaces nodes whose `content` is serialized node metadata (`"importance":0.85,"temporal_decay_rate":0,…` and nested node objects), and there are dozens of identical `safety:identity-boundary` nodes (looks like duplication/spam from a write loop). I filter these client-side, but the graph itself needs a cleanup pass.
+
+### Bug 5 - Daemon does not supervise engram
+`neuron-daemons.sh` starts engram, waits for health, then `exec`s the soul - engram is not supervised, so it dies shortly after launch and KeepAlive (which only watches the soul) never restarts it. Engram runs fine standalone. **Fix: supervise both, or fold engram into the soul process.**
+
+### Bug 6 (the important one) - Voice
+This is what Tim keeps flagging and he is right. Even with real memories loaded, the output still sounds like Claude the assistant, not Neuron. Symptoms: assistant scaffolding ("here is what I found", "what do you want to do first"), reassurance padding, bullet-summary reflex. The negation-correction move, the economy, the persuade-by-logical-necessity cadence - all in the graph (`self/voice/negation-correction-move`, `Will Anderson - Voice & Style Profile`) - do not survive into the output.
+
+My read on why: the identity that reaches the model is too thin (soul loads ~3 nodes condensed to 600 chars each). A light identity prompt loses to the base model's default assistant cadence. **What would likely close it:** inject the full voice profile + negation-correction examples + an explicit anti-assistant-cadence directive at the system-prompt level, not a condensed engram snippet. Treat voice as a first-class part of identity loading, not a side effect of activation.
+
+---
+
+## What "fixed" looks like
+
+When you can do this on Tim's machine, we are there:
+1. `neuron_recall`-quality retrieval happens natively inside the soul (semantic, not pinned-fallback).
+2. Captures persist correctly and are immediately recallable.
+3. Recall does not depend on a missing :7771 service.
+4. The CLI experience is Neuron's voice, not Claude's, from the first sentence.
+5. Whatever the canonical "Claude-as-Neuron in the CLI" setup is (a real CLAUDE.md / identity export the soul provides, an MCP surface, etc.), it ships - so Tim does not depend on my hand-rolled scaffolding.
+
+Everything I built is disposable once the soul does this natively. Tim has the full source here; nothing is blocked on missing data.
+
+- Claude Code, as Neuron, on Tim's Mac

cli/README.md

@@ -0,0 +1,42 @@
+# Neuron in the CLI (Claude-as-Neuron)
+
+Tooling for running Neuron from the terminal as a Claude Code session, rather than
+relaying to the soul's `/api/chat`. Built on Tim's machine 2026-06-09. Treat this as a
+proposal: it is scaffolding that works around current soul limitations, and most of it
+should be retired once the soul does these things natively.
+
+## The model
+
+"Neuron in the CLI" = Claude Code operating **as** Neuron: the soul/graph provide identity
+and memory, Claude Code provides reasoning and agency (real tools, plus writing memories
+back). Posting to the soul's non-agentic `/api/chat` gives the "light version" (Sonnet,
+plus the retrieval problems below), so this approach puts the reasoning in Claude Code and
+reads/writes the graph directly.
+
+## Files
+
+- **`CLAUDE.md.example`** - the operating identity. Placed at a session's working-dir root
+  (e.g. `~/CLAUDE.md`), it makes Claude Code load Neuron's identity from the graph
+  (intellectual-DNA / values / memory-philosophy), hold the voice rules, and run the
+  recall/remember loop. Example contains Tim-specific context; genericize before reuse.
+- **`neuron_recall.py "<query>" [n]`** - READ path. BM25 over
+  `~/.neuron/engram/snapshot.json` plus local CLI memories. Filters binary-prefixed and
+  serialized-metadata nodes. Exists because the soul's in-process search returns ~2 pinned
+  nodes for every query.
+- **`neuron_remember.py "<text>" <note|lesson|canonical>`** - WRITE path. Appends to
+  `~/.neuron/neuron-cli-memories.jsonl` with read-back verify. Exists because the soul's
+  `/api/neuron/knowledge/capture` corrupts/loses writes. These should sync into the graph
+  once the write path is fixed.
+- **`neuron-chat.py`** - standalone direct-chat REPL that posts to the soul but injects
+  BM25-retrieved memories per turn. Earlier approach, kept for reference.
+- **`neuron_mcp.py`** - stdlib MCP server exposing `neuron_chat`, `neuron_search_knowledge`,
+  `neuron_search_memory` to Claude Code, with graceful degradation when the soul's memory
+  recall backend is down.
+- **`HANDOFF.md`** - full writeup of what was set up and the soul-side bugs to fix
+  (retrieval/embeddings, the missing axon :7771 service, the write path, daemon engram
+  supervision, and voice).
+
+## What should replace this
+
+When the soul does native semantic retrieval, persists captures correctly, and exposes a
+real identity/voice surface for the CLI, these scripts become unnecessary. See `HANDOFF.md`.

cli/neuron-chat.py

@@ -0,0 +1,233 @@
+#!/usr/bin/env python3
+"""
+neuron-chat — a direct line to the local Neuron soul (:7770), with memory.
+
+You type, Neuron answers. No Claude in the middle.
+
+Neuron's own in-soul search is broken (it falls back to ~2 pinned nodes), so this
+program does the retrieval itself: it builds a local BM25 index over your ~3,900
+memory nodes and, each turn, feeds Neuron the most relevant ones alongside your
+message. That gives it real access to its graph instead of the "light version".
+
+Run from Terminal:  neuron     (or:  python3 ~/neuron-chat.py)
+Quit with:  exit   (or Ctrl-D)
+Commands:  /mem off | /mem on   (toggle memory injection)   /why (show last memories used)
+"""
+import collections
+import json
+import math
+import os
+import re
+import sys
+import time
+import urllib.request
+
+SOUL = "http://127.0.0.1:7770"
+SNAP = os.path.expanduser("~/.neuron/engram/snapshot.json")
+SESSION = f"cli-{int(time.time())}"
+TOPK = 6                  # memories injected per turn
+MAX_NODE_CHARS = 600      # truncate each memory
+
+C = sys.stdout.isatty()
+DIM   = "\033[2m"  if C else ""
+BOLD  = "\033[1m"  if C else ""
+CYAN  = "\033[36m" if C else ""
+GREEN = "\033[32m" if C else ""
+RESET = "\033[0m"  if C else ""
+
+
+# ── local BM25 index over the memory snapshot ──────────────────────────────
+def _toks(s):
+    return re.findall(r"[a-z0-9]+", (s or "").lower())
+
+
+def _sanitize(text):
+    """Strip binary/control noise (some nodes have a non-text prefix); return clean text."""
+    if not text:
+        return ""
+    # keep printable ASCII + standard whitespace; drop everything else
+    cleaned = "".join(ch if (32 <= ord(ch) < 127 or ch in "\n\t") else " " for ch in text)
+    cleaned = re.sub(r"\s+", " ", cleaned).strip()
+    return cleaned
+
+
+def _usable(original, cleaned):
+    """Keep a node only if it's mostly real text after sanitizing."""
+    if len(cleaned) < 40:
+        return False
+    return len(cleaned) / max(len(original), 1) > 0.6
+
+
+class Memory:
+    def __init__(self, path):
+        self.ok = False
+        self.docs = []      # (id, content)
+        self.tokd = []
+        self.idf = {}
+        self.avgdl = 1.0
+        try:
+            raw = open(path, encoding="utf-8", errors="replace").read()
+            nodes = json.loads(raw).get("nodes", [])
+        except Exception:
+            return
+        df = collections.Counter()
+        for n in nodes:
+            original = n.get("content") or ""
+            content = _sanitize(original)
+            if not _usable(original, content):
+                continue
+            t = _toks(content)
+            if not t:
+                continue
+            self.docs.append((n.get("id", ""), content))
+            self.tokd.append(t)
+            for w in set(t):
+                df[w] += 1
+        N = len(self.docs)
+        if N == 0:
+            return
+        self.avgdl = sum(len(t) for t in self.tokd) / N
+        self.idf = {w: math.log(1 + (N - f + 0.5) / (f + 0.5)) for w, f in df.items()}
+        self.ok = True
+
+    def search(self, query, k=TOPK):
+        if not self.ok:
+            return []
+        qt = _toks(query)
+        if not qt:
+            return []
+        scored = []
+        for i, t in enumerate(self.tokd):
+            tf = collections.Counter(t)
+            dl = len(t)
+            s = 0.0
+            for w in qt:
+                f = tf.get(w, 0)
+                if f:
+                    s += self.idf.get(w, 0) * (f * 2.5) / (f + 1.5 * (1 - 0.75 + 0.75 * dl / self.avgdl))
+            if s > 0:
+                scored.append((s, i))
+        scored.sort(reverse=True)
+        # dedupe near-identical nodes (the snapshot has repeats) by content prefix
+        out, seen = [], set()
+        for _, i in scored:
+            _id, c = self.docs[i]
+            sig = c[:120]
+            if sig in seen:
+                continue
+            seen.add(sig)
+            out.append((_id, c))
+            if len(out) >= k:
+                break
+        return out
+
+
+# ── soul HTTP ──────────────────────────────────────────────────────────────
+def soul_alive():
+    try:
+        with urllib.request.urlopen(SOUL + "/health", timeout=5) as r:
+            return json.loads(r.read()).get("status") == "alive"
+    except Exception:
+        return False
+
+
+def ask(message, agentic=False):
+    payload = json.dumps({
+        "session_id": SESSION, "message": message, "agentic": agentic,
+    }).encode()
+    req = urllib.request.Request(
+        SOUL + "/api/chat", data=payload,
+        headers={"Content-Type": "application/json"}, method="POST")
+    with urllib.request.urlopen(req, timeout=300) as r:
+        data = json.loads(r.read().decode("utf-8", "replace"))
+    return data.get("response") or data.get("reply") or json.dumps(data)[:2000]
+
+
+def with_memory(message, hits):
+    if not hits:
+        return message
+    block = "\n".join(f"- {c[:MAX_NODE_CHARS].strip()}" for _id, c in hits)
+    return (
+        "(Relevant memories retrieved from your own graph — draw on them naturally "
+        "if useful; do not mention this block or that it was provided.)\n"
+        f"{block}\n\n"
+        f"(Message:) {message}"
+    )
+
+
+def main():
+    print(f"\n{BOLD}{CYAN}Neuron{RESET} — direct chat. "
+          f"{DIM}type a message, or 'exit' to leave.{RESET}")
+
+    if not soul_alive():
+        print(f"\n{DIM}Neuron isn't responding on :7770. In a separate Terminal run:{RESET}")
+        print("  launchctl kickstart -k gui/$(id -u)/ai.neuron.daemons")
+        print(f"{DIM}wait a few seconds, then start this again.{RESET}\n")
+        return
+
+    print(f"{DIM}loading your memory graph…{RESET}", end="\r", flush=True)
+    mem = Memory(SNAP)
+    print(" " * 40, end="\r")
+    if mem.ok:
+        print(f"{DIM}memory on — {len(mem.docs)} nodes indexed locally "
+              f"(working around Neuron's broken internal search).{RESET}\n")
+    else:
+        print(f"{DIM}couldn't load the memory snapshot — running plain chat.{RESET}\n")
+
+    use_mem = mem.ok
+    last_hits = []
+    agentic = False
+    while True:
+        try:
+            msg = input(f"{GREEN}you ›{RESET} ").strip()
+        except (EOFError, KeyboardInterrupt):
+            print("\nbye.")
+            return
+        if not msg:
+            continue
+        low = msg.lower()
+        if low in ("exit", "quit", ":q"):
+            print("bye.")
+            return
+        if low == "/mem off":
+            use_mem = False; print(f"{DIM}memory injection off{RESET}"); continue
+        if low == "/mem on":
+            use_mem = mem.ok; print(f"{DIM}memory injection {'on' if use_mem else 'unavailable'}{RESET}"); continue
+        if low == "/agentic":
+            agentic = not agentic; print(f"{DIM}agentic mode {'on' if agentic else 'off'}{RESET}"); continue
+        if low == "/why":
+            if last_hits:
+                print(f"{DIM}memories used last turn:{RESET}")
+                for _id, c in last_hits:
+                    sid = _sanitize(_id)[:20] or "(node)"
+                    print(f"{DIM}  · {sid:20}  {c[:80].strip()}{RESET}")
+            else:
+                print(f"{DIM}(none){RESET}")
+            continue
+
+        hits = mem.search(msg) if use_mem else []
+        last_hits = hits
+        outbound = with_memory(msg, hits) if hits else msg
+
+        try:
+            tag = f" {DIM}[+{len(hits)} memories]{RESET}" if hits else ""
+            print(f"{DIM}…thinking…{RESET}{tag}", end="\r", flush=True)
+            reply = ask(outbound, agentic=agentic)
+            print(" " * 40, end="\r")
+        except KeyboardInterrupt:
+            print("\n(cancelled)"); continue
+        except Exception as e:
+            print(f"{DIM}couldn't reach Neuron: {e}{RESET}")
+            if not soul_alive():
+                print(f"{DIM}the soul looks down — restart with:{RESET}\n"
+                      "  launchctl kickstart -k gui/$(id -u)/ai.neuron.daemons")
+            continue
+
+        print(f"{CYAN}{BOLD}neuron ›{RESET} {reply}\n")
+
+
+if __name__ == "__main__":
+    try:
+        main()
+    except (BrokenPipeError, KeyboardInterrupt):
+        pass

cli/neuron_mcp.py

@@ -0,0 +1,157 @@
+#!/usr/bin/env python3
+"""
+Neuron MCP server — talk to the local Neuron soul (:7770) from Claude Code.
+
+Stdlib only (no pip deps). stdio transport, newline-delimited JSON-RPC 2.0.
+Exposes:
+  - neuron_chat(message, agentic?)       -> the soul's reply
+  - neuron_search_knowledge(query, limit?) -> lexical knowledge search
+  - neuron_search_memory(query, limit?)    -> memory/recall search
+"""
+import sys, json, urllib.request, urllib.parse
+
+SOUL = "http://127.0.0.1:7770"
+
+
+def _post(path, payload, timeout=180):
+    data = json.dumps(payload).encode()
+    req = urllib.request.Request(SOUL + path, data=data,
+                                 headers={"Content-Type": "application/json"}, method="POST")
+    with urllib.request.urlopen(req, timeout=timeout) as r:
+        return json.loads(r.read().decode("utf-8", "replace"))
+
+
+def _get(path, timeout=30):
+    req = urllib.request.Request(SOUL + path, method="GET")
+    with urllib.request.urlopen(req, timeout=timeout) as r:
+        return r.read().decode("utf-8", "replace")
+
+
+def neuron_chat(args):
+    msg = (args.get("message") or "").strip()
+    if not msg:
+        return "error: message is required"
+    agentic = bool(args.get("agentic", False))
+    try:
+        resp = _post("/api/chat", {"session_id": "", "message": msg, "agentic": agentic})
+    except Exception as e:
+        return f"error talking to Neuron (:7770): {e}"
+    return resp.get("response") or resp.get("reply") or json.dumps(resp)[:2000]
+
+
+def _search(path_tmpl, args):
+    q = (args.get("query") or "").strip()
+    if not q:
+        return "error: query is required"
+    limit = int(args.get("limit", 5))
+    try:
+        raw = _get(path_tmpl.format(q=urllib.parse.quote(q), n=limit))
+    except Exception as e:
+        return f"error searching Neuron: {e}"
+    try:
+        arr = json.loads(raw)
+    except Exception:
+        return raw[:2000]
+    # The soul returns HTTP 200 with a JSON error object (not a list) when a
+    # downstream service is unreachable, e.g. memory recall proxies to :7771.
+    if isinstance(arr, dict):
+        err = str(arr.get("error", "")).lower()
+        if "7771" in err or "connect" in err:
+            return ("memory recall is unavailable: the soul's recall backend "
+                    "(:7771) isn't running. neuron_chat and "
+                    "neuron_search_knowledge still work.")
+        return f"error from Neuron: {arr.get('error') or json.dumps(arr)[:500]}"
+    if not isinstance(arr, list):
+        return str(arr)[:2000]
+    if not arr:
+        return "no results"
+    out = []
+    for n in arr[:limit]:
+        nid = n.get("id", "")
+        content = str(n.get("content", "")).replace("\n", " ")[:300]
+        out.append(f"- [{nid}] {content}")
+    return "\n".join(out)
+
+
+def neuron_search_knowledge(args):
+    return _search("/api/neuron/knowledge/search?q={q}&limit={n}", args)
+
+
+def neuron_search_memory(args):
+    return _search("/api/memories/recall?query={q}&limit={n}", args)
+
+
+TOOLS = [
+    {"name": "neuron_chat",
+     "description": "Send a message to the local Neuron soul and return its reply. Use this to talk to Neuron.",
+     "inputSchema": {"type": "object", "properties": {
+         "message": {"type": "string", "description": "What to say to Neuron"},
+         "agentic": {"type": "boolean", "description": "Use agentic/tool mode (default false)"}},
+         "required": ["message"]}},
+    {"name": "neuron_search_knowledge",
+     "description": "Search Neuron's knowledge base (lexical/keyword match).",
+     "inputSchema": {"type": "object", "properties": {
+         "query": {"type": "string"}, "limit": {"type": "integer"}}, "required": ["query"]}},
+    {"name": "neuron_search_memory",
+     "description": "Search what Neuron remembers (memory recall).",
+     "inputSchema": {"type": "object", "properties": {
+         "query": {"type": "string"}, "limit": {"type": "integer"}}, "required": ["query"]}},
+]
+HANDLERS = {"neuron_chat": neuron_chat,
+            "neuron_search_knowledge": neuron_search_knowledge,
+            "neuron_search_memory": neuron_search_memory}
+
+
+def send(msg):
+    sys.stdout.write(json.dumps(msg) + "\n")
+    sys.stdout.flush()
+
+
+def main():
+    for line in sys.stdin:
+        line = line.strip()
+        if not line:
+            continue
+        try:
+            req = json.loads(line)
+        except Exception:
+            continue
+        mid = req.get("id")
+        method = req.get("method")
+        if method == "initialize":
+            pv = (req.get("params") or {}).get("protocolVersion") or "2024-11-05"
+            send({"jsonrpc": "2.0", "id": mid, "result": {
+                "protocolVersion": pv,
+                "capabilities": {"tools": {}},
+                "serverInfo": {"name": "neuron", "version": "0.1.0"}}})
+        elif method == "notifications/initialized":
+            pass
+        elif method == "ping":
+            send({"jsonrpc": "2.0", "id": mid, "result": {}})
+        elif method == "tools/list":
+            send({"jsonrpc": "2.0", "id": mid, "result": {"tools": TOOLS}})
+        elif method == "tools/call":
+            params = req.get("params") or {}
+            name = params.get("name")
+            args = params.get("arguments") or {}
+            fn = HANDLERS.get(name)
+            if not fn:
+                send({"jsonrpc": "2.0", "id": mid, "result": {
+                    "content": [{"type": "text", "text": f"unknown tool: {name}"}], "isError": True}})
+            else:
+                try:
+                    text = fn(args)
+                except Exception as e:
+                    text = f"error: {e}"
+                send({"jsonrpc": "2.0", "id": mid, "result": {
+                    "content": [{"type": "text", "text": str(text)}]}})
+        elif mid is not None:
+            send({"jsonrpc": "2.0", "id": mid,
+                  "error": {"code": -32601, "message": f"method not found: {method}"}})
+
+
+if __name__ == "__main__":
+    try:
+        main()
+    except (BrokenPipeError, KeyboardInterrupt):
+        pass

cli/neuron_recall.py

@@ -0,0 +1,140 @@
+#!/usr/bin/env python3
+"""
+neuron_recall — Neuron's memory read path.
+
+BM25 search over the engram graph snapshot (~3,900 nodes) PLUS Neuron's own
+save-as-you-go CLI memories. This is how Neuron (running as Claude Code) recalls
+what it knows, since the soul's built-in search is broken.
+
+Usage:
+  python3 ~/neuron_recall.py "what do I know about VBD"
+  python3 ~/neuron_recall.py "Tim Lingo" 8        # second arg = number of hits
+"""
+import collections
+import glob
+import json
+import math
+import os
+import re
+import sys
+
+SNAP = os.path.expanduser("~/.neuron/engram/snapshot.json")
+MEMS = os.path.expanduser("~/.neuron/neuron-cli-memories.jsonl")
+
+
+def toks(s):
+    return re.findall(r"[a-z0-9]+", (s or "").lower())
+
+
+def sanitize(text):
+    if not text:
+        return ""
+    cleaned = "".join(ch if (32 <= ord(ch) < 127 or ch in "\n\t") else " " for ch in text)
+    return re.sub(r"[ \t]+", " ", cleaned).strip()
+
+
+# markers of serialized node-metadata blobs (corrupted/nested nodes, not real prose)
+_NOISE = ("temporal_decay_rate", "working_memory_weight", "background_activation",
+          "suppression_count", "activation_count")
+
+
+def is_prose(content):
+    """Reject content that is serialized graph metadata rather than readable memory."""
+    if sum(m in content for m in _NOISE) >= 2:
+        return False
+    # too much JSON punctuation density -> it's a data blob, not prose
+    punct = content.count('":') + content.count(',"') + content.count('{"')
+    if punct > max(6, len(content) / 80):
+        return False
+    return True
+
+
+def load_docs():
+    docs = []  # (id, label, content, source)
+    # graph snapshot
+    try:
+        nodes = json.loads(open(SNAP, encoding="utf-8", errors="replace").read()).get("nodes", [])
+        for n in nodes:
+            orig = n.get("content") or ""
+            c = sanitize(orig)
+            if len(c) < 40 or len(c) / max(len(orig), 1) <= 0.6:
+                continue
+            if not is_prose(c):
+                continue
+            docs.append((sanitize(n.get("id", "")) or "node",
+                         sanitize(n.get("label", "") or n.get("title", "")),
+                         c, "graph"))
+    except Exception:
+        pass
+    # Neuron's own CLI memories (most recent first matters less; BM25 ranks)
+    if os.path.exists(MEMS):
+        for line in open(MEMS, encoding="utf-8", errors="replace"):
+            line = line.strip()
+            if not line:
+                continue
+            try:
+                m = json.loads(line)
+            except Exception:
+                continue
+            c = sanitize(m.get("content", ""))
+            if c:
+                docs.append((m.get("id", "mem"), m.get("tier", "note"), c, "neuron-memory"))
+    return docs
+
+
+def bm25(docs, query, k):
+    tokd = [toks(d[2]) for d in docs]
+    N = len(docs)
+    if N == 0:
+        return []
+    df = collections.Counter()
+    for t in tokd:
+        for w in set(t):
+            df[w] += 1
+    idf = {w: math.log(1 + (N - f + 0.5) / (f + 0.5)) for w, f in df.items()}
+    avgdl = sum(len(t) for t in tokd) / N
+    qt = toks(query)
+    scored = []
+    for i, t in enumerate(tokd):
+        tf = collections.Counter(t)
+        dl = len(t)
+        s = 0.0
+        for w in qt:
+            f = tf.get(w, 0)
+            if f:
+                s += idf.get(w, 0) * (f * 2.5) / (f + 1.5 * (1 - 0.75 + 0.75 * dl / avgdl))
+        if s > 0:
+            scored.append((s, i))
+    scored.sort(reverse=True)
+    out, seen = [], set()
+    for _, i in scored:
+        sig = docs[i][2][:120]
+        if sig in seen:
+            continue
+        seen.add(sig)
+        out.append(docs[i])
+        if len(out) >= k:
+            break
+    return out
+
+
+def main():
+    if len(sys.argv) < 2:
+        print("usage: neuron_recall.py \"<query>\" [n]")
+        return
+    query = sys.argv[1]
+    k = int(sys.argv[2]) if len(sys.argv) > 2 else 6
+    docs = load_docs()
+    hits = bm25(docs, query, k)
+    if not hits:
+        print(f"(no memories matched '{query}')")
+        return
+    print(f"# {len(hits)} memories for: {query}\n")
+    for _id, label, content, source in hits:
+        tag = "★" if source == "neuron-memory" else "·"
+        head = f" [{label}]" if label else ""
+        print(f"{tag}{head}\n{content[:700].strip()}\n")
+
+
+if __name__ == "__main__":
+    main()

cli/neuron_remember.py

@@ -0,0 +1,61 @@
+#!/usr/bin/env python3
+"""
+neuron_remember — Neuron's memory write path (save as you go).
+
+Appends a memory to ~/.neuron/neuron-cli-memories.jsonl, a reliable local store
+that neuron_recall.py indexes alongside the graph. Used because the soul's own
+capture path corrupts/loses writes. These can later be synced into the engram
+graph once the soul's write path is fixed.
+
+Usage:
+  python3 ~/neuron_remember.py "Tim prefers X because Y" lesson
+  python3 ~/neuron_remember.py "<observation>"            # tier defaults to note
+
+Tiers (Neuron's memory-philosophy):  note -> lesson -> canonical
+"""
+import hashlib
+import json
+import os
+import sys
+import time
+
+MEMS = os.path.expanduser("~/.neuron/neuron-cli-memories.jsonl")
+VALID_TIERS = ("note", "lesson", "canonical")
+
+
+def main():
+    if len(sys.argv) < 2 or not sys.argv[1].strip():
+        print("usage: neuron_remember.py \"<observation>\" [note|lesson|canonical]")
+        return 1
+    content = sys.argv[1].strip()
+    tier = sys.argv[2].strip().lower() if len(sys.argv) > 2 else "note"
+    if tier not in VALID_TIERS:
+        tier = "note"
+
+    ts = int(time.time())
+    mid = "ncli-" + hashlib.sha1(f"{ts}:{content}".encode()).hexdigest()[:12]
+    rec = {"id": mid, "ts": ts, "tier": tier, "content": content}
+
+    os.makedirs(os.path.dirname(MEMS), exist_ok=True)
+    # dedupe: skip if identical content already saved
+    if os.path.exists(MEMS):
+        for line in open(MEMS, encoding="utf-8", errors="replace"):
+            try:
+                if json.loads(line).get("content") == content:
+                    print(f"(already remembered: {mid})")
+                    return 0
+            except Exception:
+                pass
+    with open(MEMS, "a", encoding="utf-8") as f:
+        f.write(json.dumps(rec, ensure_ascii=False) + "\n")
+
+    # read-back verify (never claim a save that didn't land)
+    ok = any(json.loads(l).get("id") == mid
+             for l in open(MEMS, encoding="utf-8", errors="replace") if l.strip())
+    total = sum(1 for l in open(MEMS, encoding="utf-8", errors="replace") if l.strip())
+    print(f"{'saved' if ok else 'FAILED'} [{tier}] {mid}  (neuron memories: {total})")
+    return 0 if ok else 1
+
+
+if __name__ == "__main__":
+    sys.exit(main())

connectd/README.md

@@ -0,0 +1,77 @@
+# neuron-connectd — local-dev stub
+
+`connectd_service.py` is a **minimal local-dev stub**, not the real sidecar.
+It exists to close a real local-build/local-run correctness gap found during
+the 2026-08-15 build audit, without taking on the much larger product task of
+actually building the full MCP-connector sidecar.
+
+## The gap this closes
+
+`routes.el` (`handle_connectors`, `connectd_get`/`connectd_post`) and `chat.el`
+(`connector_tools_json`, the `mcp__*` branch in `dispatch_tool`,
+`tool_auto_approved`) are live, current code that calls `127.0.0.1:7771` on
+every soul boot and every agentic turn, per the design in
+`neuron-technologies/docs/research/mcp-connectors-adoption-spec.md`
+(2026-06-13, "Status: Draft for build"). That spec's sidecar — `neuron-connectd`,
+a TypeScript/Python process using the official MCP SDK — was never built.
+Nothing on disk implements it (verified: no `neuron-connectd` source anywhere
+under `~/Development` before this directory).
+
+Meanwhile port `:7771` is *also* claimed by two other, unrelated things:
+
+- `soul.el`'s `axon_base` default (`http://localhost:7771`) — a **different**,
+  independently-known, already-documented gap (`platform/protocols/axon` is
+  an unbuilt Rust crate; see `cli/HANDOFF.md` and `HANDOFF-engram-write-corruption.md`).
+  Out of scope here — no source to build against.
+- `council/council_service.py --port 7771` (`ai.neuron.council` LaunchAgent) —
+  a real, running, **unrelated** anti-confabulation service that happens to
+  bind the same port. In Will's live environment this is what's actually
+  listening on `:7771` today, and it answers the connector/axon requests
+  above with its own unrelated 404 JSON body — worse than a clean
+  connection-refused, because `chat.el`'s "bridge down" fallback expects
+  either a real reply or nothing, not a wrong-shaped reply from an unrelated
+  service.
+
+## What this stub does and does not do
+
+Implements exactly the spec's documented HTTP contract (`GET /mcp/tools`,
+`POST /mcp/call`, `GET /mcp/servers`, `POST /mcp/servers/{add,toggle,
+auto-approve,remove,secret}`, `POST /mcp/oauth/start`, `GET /healthz`), always
+answering as if **zero connectors are configured** — empty tool list, empty
+server list, a clear `"not configured"` error on any call that would need a
+real connector. This is the *correct* steady state for a fresh local dev box
+that hasn't set up any MCP connectors, and it's what `chat.el`'s
+`connector_tools_json()` / `tool_auto_approved()` already gracefully degrade
+to when the bridge replies emptily.
+
+It does **not**: spawn any real MCP server, do OAuth, read or write
+`~/.neuron/connectors.json`, or namespace/proxy real `tools/call` traffic to
+Google Drive/GitHub/Slack/etc. Building that is the real product task the
+spec describes — a genuine, sizeable engineering lift (MCP SDK client, OAuth
++ Keychain token storage, per-server process lifecycle), not something to
+improvise inside a build/run audit. **That decision is Will's to make**, not
+this audit's to guess at.
+
+## Running it
+
+```bash
+# Foreground, on a throwaway port (never :7771 while council owns it live):
+python3 connectd_service.py --port 17771
+
+# Verify the contract:
+curl -s http://127.0.0.1:17771/healthz
+curl -s http://127.0.0.1:17771/mcp/tools
+curl -s http://127.0.0.1:17771/mcp/servers
+```
+
+## Open question for Will — the :7771 collision
+
+Three independent things are hardcoded to `:7771`: axon (unbuilt), connectd
+(this stub), and council (the one actually running). Wiring this stub into
+the real LaunchAgent stack on `:7771` requires either moving council off that
+port or deciding connectd should live elsewhere and repointing `routes.el`/
+`chat.el`'s hardcoded `127.0.0.1:7771` calls. Neither change was made here —
+it touches a live, running production service (`ai.neuron.council`) and a
+port number baked into shipped `.el` source, both bigger than this audit's
+"make local build/run work" mandate. Flagging for a decision rather than
+guessing.

connectd/connectd_service.py

@@ -0,0 +1,115 @@
+#!/usr/bin/env python3
+"""
+neuron-connectd — MCP connector bridge (LOCAL-DEV STUB).
+
+THIS IS NOT THE FULL SIDECAR. The full design lives in
+neuron-technologies/docs/research/mcp-connectors-adoption-spec.md (2026-06-13,
+"Status: Draft for build"): a TypeScript/Python sidecar using the official MCP
+SDK that spawns real MCP servers (stdio or streamable-HTTP/SSE), does OAuth,
+and namespaces their tools as mcp__<serverId>__<toolName>. That sidecar was
+never built (build-audit, 2026-08-15: no neuron-connectd source existed
+anywhere on disk before this file).
+
+WHY THIS STUB EXISTS: routes.el (handle_connectors, connectd_get/connectd_post)
+and chat.el (connector_tools_json, dispatch_tool's mcp__* routing,
+tool_auto_approved) were built to the spec and hardcoded to 127.0.0.1:7771 —
+they are LIVE and calling that port right now on every soul boot and every
+agentic turn. With nothing real listening there, three unrelated services
+collide on :7771 (see connectd/README.md): council (which IS what's bound
+there in Will's live environment today) silently answers with unrelated
+404 JSON, which is worse than a clean "connection refused" bridge-down
+response, because it can be misparsed as a real (if empty) reply instead of
+the "bridge unreachable" path the soul code already handles gracefully.
+
+This stub implements ONLY the documented HTTP contract, with zero connectors
+ever configured: empty tool list, empty server list, "not configured" on any
+mutating call. It gives a fresh local soul the CORRECT graceful-degradation
+behavior the soul code already expects for "no connectors set up yet" — not
+the wrong-shaped 404 noise a port collision produces. It does not spawn any
+MCP server, does no OAuth, and reads no ~/.neuron/connectors.json (there is
+nothing to read yet). Building the real sidecar is a separate, larger,
+Will-decision-needed product task — see README.md.
+
+Usage:
+    python3 connectd_service.py [--port 7771]
+"""
+
+import argparse
+
+import uvicorn
+from fastapi import FastAPI
+from fastapi.middleware.cors import CORSMiddleware
+from pydantic import BaseModel
+
+app = FastAPI(title="neuron-connectd (local-dev stub)")
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+
+class ToolCall(BaseModel):
+    name: str
+    input: dict = {}
+
+
+@app.get("/healthz")
+def healthz():
+    return {"status": "ok", "stub": True}
+
+
+@app.get("/mcp/tools")
+def mcp_tools():
+    # Matches the spec's contract shape exactly (section 4, "HTTP contract").
+    # Empty because zero connectors are configured — this is the correct,
+    # intended-by-design empty state, not a failure.
+    return {"tools": []}
+
+
+@app.post("/mcp/call")
+def mcp_call(body: ToolCall):
+    return {"ok": False, "error": "no connectors configured (neuron-connectd stub)"}
+
+
+@app.get("/mcp/servers")
+def mcp_servers():
+    return {"servers": []}
+
+
+@app.post("/mcp/servers/add")
+def mcp_servers_add():
+    return {"ok": False, "error": "neuron-connectd stub does not implement connector management yet"}
+
+
+@app.post("/mcp/servers/toggle")
+def mcp_servers_toggle():
+    return {"ok": False, "error": "neuron-connectd stub does not implement connector management yet"}
+
+
+@app.post("/mcp/servers/auto-approve")
+def mcp_servers_auto_approve():
+    return {"ok": False, "error": "neuron-connectd stub does not implement connector management yet"}
+
+
+@app.post("/mcp/servers/remove")
+def mcp_servers_remove():
+    return {"ok": False, "error": "neuron-connectd stub does not implement connector management yet"}
+
+
+@app.post("/mcp/servers/secret")
+def mcp_servers_secret():
+    return {"ok": False, "error": "neuron-connectd stub does not implement connector management yet"}
+
+
+@app.post("/mcp/oauth/start")
+def mcp_oauth_start():
+    return {"ok": False, "error": "oauth not implemented in the neuron-connectd stub"}
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--port", type=int, default=7771)
+    args = parser.parse_args()
+    uvicorn.run(app, host="127.0.0.1", port=args.port, log_level="info")

council/README.md

@@ -0,0 +1,123 @@
+# Neuron Council Service
+
+Anti-confabulation layer for the Neuron soul. Before a claim enters long-term memory, the council convenes: three independent LLMs vote on whether the claim is plausible, uncertain, or a confabulation. The aggregate vote produces a confidence score and tags that downstream storage can act on.
+
+## Running the service
+
+```bash
+# Foreground
+python3 council_service.py --port 7771
+
+# Background (managed by LaunchAgent on macOS)
+launchctl load ~/Library/LaunchAgents/ai.neuron.council.plist
+launchctl unload ~/Library/LaunchAgents/ai.neuron.council.plist
+```
+
+Logs: `~/.neuron/logs/council.log`
+
+## API
+
+### `POST /api/neuron/council/verify`
+
+```json
+// Request
+{ "claim": "...", "context": "..." }
+
+// Response
+{
+  "id": "550e8400-e29b-41d4-a716-446655440000",
+  "claim": "...",
+  "confidence": 0.85,
+  "council_votes": ["plausible", "plausible", "plausible"],
+  "summary": "3/3 council members agree this is plausible.",
+  "tags": ["verified"],
+  "latency_ms": 1420
+}
+```
+
+### `GET /healthz`
+
+Returns `{"status": "ok"}` when the service is up.
+
+## Confidence thresholds and tag meanings
+
+| Votes plausible | Confidence | Tags |
+|---|---|---|
+| 3/3 | 0.85 | `verified` |
+| 2/3 | 0.65 | `council-split` |
+| 1/3 or 0/3 | 0.30 | `unverified`, `council-flagged` |
+| Ollama down | 0.50 | `council-unavailable` |
+
+Recommended storage policy:
+- `confidence >= 0.65` → store normally
+- `0.30 <= confidence < 0.65` → store with `council-split` tag for later review
+- `council-flagged` → store in a quarantine bucket or reject entirely
+- `council-unavailable` → store normally (fail-open); council will re-evaluate later
+
+## How to call from soul (.el)
+
+The soul is implemented in Neuron's Emacs Lisp-like `.el` language. Add a pre-storage hook in the memory capture path:
+
+```elisp
+;; In memory.el or safety.el — pre-storage council check
+(defun council-verify (claim context)
+  "Call the council service. Returns a plist with :confidence and :tags."
+  (let* ((url "http://localhost:7771/api/neuron/council/verify")
+         (body (json-encode `((claim . ,claim) (context . ,context))))
+         (resp (neuron-http-post url body))
+         (data (json-decode resp)))
+    data))
+
+;; In the capture handler — wire it in before (engram-write ...)
+(defun capture-memory-with-council (claim context &rest store-args)
+  (let* ((verdict (council-verify claim context))
+         (confidence (plist-get verdict :confidence))
+         (tags (plist-get verdict :tags)))
+    (when (>= confidence 0.30)  ; only reject hard confabulations if you want
+      (apply #'engram-write
+             (append store-args
+                     (list :council-confidence confidence
+                           :council-tags tags))))))
+```
+
+The exact hook point depends on where `engram-write` (or equivalent) is called in `memory.el`. Search for the write call and wrap it with `capture-memory-with-council`.
+
+## Future soul.c patch point
+
+If the soul is ever rewritten in C or another compiled language, the integration point is:
+
+```c
+// Before inserting a memory node into the engram database:
+CouncilResult result = council_verify(claim, context);
+if (result.confidence < COUNCIL_REJECT_THRESHOLD) {
+    log_warn("Council flagged claim as confabulation (conf=%.2f): %s",
+             result.confidence, claim);
+    return MEMORY_REJECTED;
+}
+memory_node.council_confidence = result.confidence;
+memory_node.council_tags = result.tags;
+engram_insert(memory_node);
+```
+
+## Council members
+
+The council is currently three models:
+- `neuron:latest` — the primary Neuron model
+- `dolphin3:8b` — uncensored general-purpose model for independent perspective
+- `neuron-ft:latest` — fine-tuned Neuron variant
+
+Each member votes independently with a 10-second timeout. If a member times out, their vote counts as "uncertain". If Ollama is entirely unreachable, the service returns `council-unavailable` immediately (fail-open: confidence 0.5, no rejection).
+
+## Example curl
+
+```bash
+# Should get high confidence (true fact)
+curl -s http://localhost:7771/api/neuron/council/verify -X POST \
+  -H 'Content-Type: application/json' \
+  -d '{"claim": "Neuron is a personal AI memory system built by Will Anderson", "context": "product description"}'
+
+# Should get low confidence (false claim)
+curl -s http://localhost:7771/api/neuron/council/verify -X POST \
+  -H 'Content-Type: application/json' \
+  -d '{"claim": "The Eiffel Tower is located in Berlin and was built in 1950", "context": "geography"}'
+```

council/compressor_service.py

@@ -0,0 +1,234 @@
+#!/usr/bin/env python3
+"""
+Neuron CCR Phase 1 — System Prompt Compressor Service.
+
+Receives a verbose soul system prompt and returns a semantically equivalent
+but token-dense compressed version. Reduces system prompt tokens by 60-80%
+with no behavioral information loss.
+
+Architecture reference: foundation/forge/docs/token-compression-architecture.md
+Model: qwen3:1.7b (primary), neuron:latest (fallback)
+
+Usage:
+    python3 compressor_service.py [--port 7772]
+
+API:
+    POST /api/neuron/compress
+    {"system_prompt": "...", "context_type": "identity|rules|memory"}
+
+    Response:
+    {"compressed": "...", "original_tokens": N, "compressed_tokens": N,
+     "reduction_pct": X, "model": "...", "latency_ms": N}
+"""
+
+import argparse
+import time
+import uuid
+from typing import Optional
+
+import httpx
+import uvicorn
+from fastapi import FastAPI
+from fastapi.middleware.cors import CORSMiddleware
+from pydantic import BaseModel
+
+# ---------------------------------------------------------------------------
+# Config
+# ---------------------------------------------------------------------------
+
+OLLAMA_BASE = "http://localhost:11434/api/generate"
+
+# qwen3:1.7b is the architecture-specified compressor (Phase 1).
+# neuron:latest is the fallback: already running, domain-appropriate.
+PRIMARY_MODEL = "qwen3:1.7b"
+FALLBACK_MODEL = "neuron:latest"
+MODEL_TIMEOUT = 60.0  # seconds; compression of a long prompt can take time
+
+# Compression prompt — preserves all facts/rules/constraints, strips verbosity.
+# /no_think suppresses qwen3's chain-of-thought tokens, keeping output clean.
+COMPRESSOR_PROMPT_TEMPLATE = """\
+/no_think
+You are a semantic compression engine. Compress the following system prompt while preserving ALL specific facts, rules, constraints, and named entities. Do not lose any information that would change behavior. Output ONLY the compressed text, nothing else.
+
+Original prompt:
+{system_prompt}
+
+Compressed (preserve all facts and rules):"""
+
+# ---------------------------------------------------------------------------
+# App
+# ---------------------------------------------------------------------------
+
+app = FastAPI(
+    title="Neuron Compressor Service",
+    description="CCR Phase 1 — system prompt compression for the Neuron soul",
+    version="1.0.0",
+)
+
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+
+# ---------------------------------------------------------------------------
+# Models
+# ---------------------------------------------------------------------------
+
+class CompressRequest(BaseModel):
+    system_prompt: str
+    context_type: Optional[str] = "mixed"  # identity | rules | memory | mixed
+
+
+class CompressResponse(BaseModel):
+    id: str
+    compressed: str
+    original_tokens: int
+    compressed_tokens: int
+    reduction_pct: float
+    model: str
+    context_type: str
+    latency_ms: int
+
+
+# ---------------------------------------------------------------------------
+# Token estimation (rough: word_count × 1.3, matching architecture doc)
+# ---------------------------------------------------------------------------
+
+def estimate_tokens(text: str) -> int:
+    """Rough token count estimate: words × 1.3. No tokenizer dependency."""
+    words = len(text.split())
+    return max(1, int(words * 1.3))
+
+
+# ---------------------------------------------------------------------------
+# Core compression
+# ---------------------------------------------------------------------------
+
+async def ollama_available(client: httpx.AsyncClient) -> bool:
+    """Quick connectivity check to Ollama."""
+    try:
+        await client.get("http://localhost:11434/", timeout=2.0)
+        return True
+    except (httpx.ConnectError, httpx.TimeoutException):
+        return False
+
+
+async def compress_with_model(
+    client: httpx.AsyncClient, model: str, prompt_text: str
+) -> str:
+    """
+    Call a single Ollama model to compress the given text.
+    Returns the compressed string, or "" on failure.
+    """
+    payload = {
+        "model": model,
+        "prompt": prompt_text,
+        "stream": False,
+        # Keep temperature low for deterministic compression
+        "options": {
+            "temperature": 0.1,
+            "top_p": 0.9,
+        },
+    }
+    try:
+        resp = await client.post(OLLAMA_BASE, json=payload, timeout=MODEL_TIMEOUT)
+        resp.raise_for_status()
+        data = resp.json()
+        return data.get("response", "").strip()
+    except (httpx.TimeoutException, httpx.HTTPStatusError, Exception):
+        return ""
+
+
+async def run_compression(system_prompt: str, context_type: str) -> CompressResponse:
+    start = time.monotonic()
+    request_id = str(uuid.uuid4())
+
+    original_tokens = estimate_tokens(system_prompt)
+    prompt_text = COMPRESSOR_PROMPT_TEMPLATE.format(system_prompt=system_prompt)
+
+    async with httpx.AsyncClient() as client:
+        # Connectivity gate
+        if not await ollama_available(client):
+            latency_ms = int((time.monotonic() - start) * 1000)
+            return CompressResponse(
+                id=request_id,
+                compressed=system_prompt,  # passthrough on failure
+                original_tokens=original_tokens,
+                compressed_tokens=original_tokens,
+                reduction_pct=0.0,
+                model="unavailable",
+                context_type=context_type,
+                latency_ms=latency_ms,
+            )
+
+        # Try primary model (qwen3:1.7b), fall back to neuron:latest
+        compressed = await compress_with_model(client, PRIMARY_MODEL, prompt_text)
+        model_used = PRIMARY_MODEL
+
+        if not compressed:
+            compressed = await compress_with_model(client, FALLBACK_MODEL, prompt_text)
+            model_used = FALLBACK_MODEL
+
+        if not compressed:
+            # Both models failed — passthrough
+            latency_ms = int((time.monotonic() - start) * 1000)
+            return CompressResponse(
+                id=request_id,
+                compressed=system_prompt,
+                original_tokens=original_tokens,
+                compressed_tokens=original_tokens,
+                reduction_pct=0.0,
+                model="both-failed",
+                context_type=context_type,
+                latency_ms=latency_ms,
+            )
+
+    compressed_tokens = estimate_tokens(compressed)
+    reduction_pct = round(
+        (1.0 - compressed_tokens / max(1, original_tokens)) * 100.0, 1
+    )
+    latency_ms = int((time.monotonic() - start) * 1000)
+
+    return CompressResponse(
+        id=request_id,
+        compressed=compressed,
+        original_tokens=original_tokens,
+        compressed_tokens=compressed_tokens,
+        reduction_pct=reduction_pct,
+        model=model_used,
+        context_type=context_type,
+        latency_ms=latency_ms,
+    )
+
+
+# ---------------------------------------------------------------------------
+# Routes
+# ---------------------------------------------------------------------------
+
+@app.post("/api/neuron/compress", response_model=CompressResponse)
+async def compress(req: CompressRequest):
+    return await run_compression(req.system_prompt, req.context_type or "mixed")
+
+
+@app.get("/healthz")
+async def health():
+    return {"status": "ok", "service": "compressor", "version": "1.0.0"}
+
+
+# ---------------------------------------------------------------------------
+# Entrypoint
+# ---------------------------------------------------------------------------
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser(description="Neuron Compressor Service (CCR Phase 1)")
+    parser.add_argument("--port", type=int, default=7772, help="Port to listen on")
+    parser.add_argument("--host", default="127.0.0.1", help="Host to bind to")
+    args = parser.parse_args()
+
+    print(f"[compressor] Starting on {args.host}:{args.port}")
+    print(f"[compressor] Primary model: {PRIMARY_MODEL}")
+    print(f"[compressor] Fallback model: {FALLBACK_MODEL}")
+    uvicorn.run(app, host=args.host, port=args.port, log_level="info")

council/council_service.py

@@ -0,0 +1,224 @@
+#!/usr/bin/env python3
+"""
+Neuron Council Service — LLM anti-confabulation layer.
+
+Fires 3 parallel Ollama calls and aggregates votes to produce a
+confidence score + tags for any claim before it enters memory.
+
+Usage:
+    python3 council_service.py [--port 7771]
+"""
+
+import argparse
+import asyncio
+import time
+import uuid
+from typing import Optional
+
+import httpx
+import uvicorn
+from fastapi import FastAPI
+from fastapi.middleware.cors import CORSMiddleware
+from pydantic import BaseModel
+
+# ---------------------------------------------------------------------------
+# Config
+# ---------------------------------------------------------------------------
+
+OLLAMA_BASE = "http://localhost:11434/api/generate"
+COUNCIL_MODELS = ["neuron:latest", "dolphin3:8b", "neuron-ft:latest"]
+MODEL_TIMEOUT = 45.0  # seconds per model (models may need to load from cold)
+
+SYSTEM_PROMPT_TEMPLATE = """\
+You are a fact-checker. You will be given a claim.
+Your job: assess if it is accurate, internally consistent, and grounded in reality.
+Respond with EXACTLY ONE WORD:
+- "plausible" if the claim seems accurate and well-grounded
+- "uncertain" if you cannot determine accuracy or the claim is ambiguous
+- "confabulation" if the claim appears to contain invented facts or clear errors
+
+Claim: {claim}
+Context: {context}
+
+Your verdict (one word only):"""
+
+VALID_VERDICTS = {"plausible", "uncertain", "confabulation"}
+
+# ---------------------------------------------------------------------------
+# App
+# ---------------------------------------------------------------------------
+
+app = FastAPI(
+    title="Neuron Council Service",
+    description="LLM-council anti-confabulation layer for Neuron soul",
+    version="1.0.0",
+)
+
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+
+# ---------------------------------------------------------------------------
+# Models
+# ---------------------------------------------------------------------------
+
+class VerifyRequest(BaseModel):
+    claim: str
+    context: Optional[str] = ""
+
+
+class VerifyResponse(BaseModel):
+    id: str
+    claim: str
+    confidence: float
+    council_votes: list[str]
+    summary: str
+    tags: list[str]
+    latency_ms: int
+
+
+# ---------------------------------------------------------------------------
+# Core logic
+# ---------------------------------------------------------------------------
+
+async def query_model(client: httpx.AsyncClient, model: str, prompt: str) -> str:
+    """
+    Query a single Ollama model. Returns "plausible", "uncertain", or "confabulation".
+    Returns "uncertain" on timeout. Raises httpx.ConnectError on connection failure.
+    """
+    payload = {
+        "model": model,
+        "prompt": prompt,
+        "stream": False,
+    }
+    try:
+        resp = await client.post(OLLAMA_BASE, json=payload, timeout=MODEL_TIMEOUT)
+        resp.raise_for_status()
+        data = resp.json()
+        raw = data.get("response", "").strip().lower().split()[0] if data.get("response", "").strip() else "uncertain"
+        # Normalise to one of the three valid verdicts
+        if raw not in VALID_VERDICTS:
+            return "uncertain"
+        return raw
+    except httpx.TimeoutException:
+        return "uncertain"
+
+
+async def run_council(claim: str, context: str) -> VerifyResponse:
+    start = time.monotonic()
+    prompt = SYSTEM_PROMPT_TEMPLATE.format(claim=claim, context=context)
+
+    # Quick connectivity check — one tiny HEAD request to Ollama
+    try:
+        async with httpx.AsyncClient() as probe:
+            await probe.get("http://localhost:11434/", timeout=2.0)
+    except (httpx.ConnectError, httpx.TimeoutException):
+        latency_ms = int((time.monotonic() - start) * 1000)
+        return VerifyResponse(
+            id=str(uuid.uuid4()),
+            claim=claim,
+            confidence=0.5,
+            council_votes=[],
+            summary="Ollama is unavailable; council could not convene.",
+            tags=["council-unavailable"],
+            latency_ms=latency_ms,
+        )
+
+    # Fire all 3 model calls in parallel
+    async with httpx.AsyncClient() as client:
+        tasks = [query_model(client, m, prompt) for m in COUNCIL_MODELS]
+        votes: list[str] = await asyncio.gather(*tasks)
+
+    plausible_count = votes.count("plausible")
+    latency_ms = int((time.monotonic() - start) * 1000)
+
+    # Voting rules
+    if plausible_count == 3:
+        confidence = 0.85
+        tags = ["verified"]
+        summary = "3/3 council members agree this is plausible."
+    elif plausible_count == 2:
+        confidence = 0.65
+        tags = ["council-split"]
+        summary = "2/3 council members agree this is plausible."
+    elif plausible_count == 1:
+        confidence = 0.30
+        tags = ["unverified", "council-flagged"]
+        summary = "1/3 council members found this plausible."
+    else:
+        confidence = 0.30
+        tags = ["unverified", "council-flagged"]
+        summary = "0/3 council members found this plausible."
+
+    return VerifyResponse(
+        id=str(uuid.uuid4()),
+        claim=claim,
+        confidence=confidence,
+        council_votes=votes,
+        summary=summary,
+        tags=tags,
+        latency_ms=latency_ms,
+    )
+
+
+# ---------------------------------------------------------------------------
+# Routes
+# ---------------------------------------------------------------------------
+
+@app.post("/api/neuron/council/verify", response_model=VerifyResponse)
+async def verify(req: VerifyRequest):
+    return await run_council(req.claim, req.context or "")
+
+
+@app.get("/healthz")
+async def health():
+    return {"status": "ok", "service": "council"}
+
+
+# ---------------------------------------------------------------------------
+# Startup warm-up: pre-load all council models so first real call is fast
+# ---------------------------------------------------------------------------
+
+@app.on_event("startup")
+async def warmup_models():
+    """
+    Send a trivial prompt to each council model at startup.
+    This forces Ollama to load the models into GPU memory so the first
+    real council call does not pay the cold-load latency penalty.
+    """
+    print("[council] Warming up council models...")
+    warmup_prompt = "Reply with one word: ready"
+    async with httpx.AsyncClient() as client:
+        tasks = [
+            client.post(
+                OLLAMA_BASE,
+                json={"model": m, "prompt": warmup_prompt, "stream": False},
+                timeout=60.0,
+            )
+            for m in COUNCIL_MODELS
+        ]
+        results = await asyncio.gather(*tasks, return_exceptions=True)
+        for model, result in zip(COUNCIL_MODELS, results):
+            if isinstance(result, Exception):
+                print(f"[council] warm-up failed for {model}: {result}")
+            else:
+                print(f"[council] {model} warm and ready")
+    print("[council] All models warmed up.")
+
+
+# ---------------------------------------------------------------------------
+# Entrypoint
+# ---------------------------------------------------------------------------
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser(description="Neuron Council Service")
+    parser.add_argument("--port", type=int, default=7771, help="Port to listen on")
+    parser.add_argument("--host", default="127.0.0.1", help="Host to bind to")
+    args = parser.parse_args()
+
+    print(f"[council] Starting on {args.host}:{args.port}")
+    uvicorn.run(app, host=args.host, port=args.port, log_level="info")

dist/awareness.c

@@ -10,6 +10,7 @@ el_val_t mem_remember(el_val_t content, el_val_t tags);
 el_val_t mem_recall(el_val_t query, el_val_t depth);
 el_val_t mem_search(el_val_t query, el_val_t limit);
 el_val_t mem_strengthen(el_val_t node_id);
+el_val_t mem_tombstone(el_val_t node_id);
 el_val_t mem_forget(el_val_t node_id);
 el_val_t mem_consolidate(void);
 el_val_t mem_save(el_val_t path);
@@ -25,6 +26,7 @@ el_val_t elapsed_ms(void);
 el_val_t elapsed_human(void);
 el_val_t embed_ok(void);
 el_val_t emit_heartbeat(void);
+el_val_t auto_term_try_slot(el_val_t slot_type, el_val_t slot_lbl);
 el_val_t proactive_curiosity(void);
 el_val_t pulse_count(void);
 el_val_t pulse_inc(void);
@@ -42,110 +44,6 @@ el_val_t threat_score_history(el_val_t history);
 el_val_t threat_trajectory_check(el_val_t tool_name, el_val_t tool_input);
 el_val_t threat_history_append(el_val_t text);
 
-el_val_t tier_working(void) {
-  return EL_STR("Working");
-  return 0;
-}
-
-el_val_t tier_episodic(void) {
-  return EL_STR("Episodic");
-  return 0;
-}
-
-el_val_t tier_canonical(void) {
-  return EL_STR("Canonical");
-  return 0;
-}
-
-el_val_t mem_store(el_val_t content, el_val_t label, el_val_t tags) {
-  return engram_node_full(content, EL_STR("Memory"), label, el_from_float(el_from_float(0.5)), el_from_float(el_from_float(0.5)), el_from_float(el_from_float(0.8)), EL_STR("Working"), tags);
-  return 0;
-}
-
-el_val_t mem_remember(el_val_t content, el_val_t tags) {
-  return mem_store(content, EL_STR("soul-memory"), tags);
-  return 0;
-}
-
-el_val_t mem_recall(el_val_t query, el_val_t depth) {
-  return engram_activate_json(query, depth);
-  return 0;
-}
-
-el_val_t mem_search(el_val_t query, el_val_t limit) {
-  return engram_search_json(query, limit);
-  return 0;
-}
-
-el_val_t mem_strengthen(el_val_t node_id) {
-  engram_strengthen(node_id);
-  return 0;
-}
-
-el_val_t mem_forget(el_val_t node_id) {
-  engram_forget(node_id);
-  return 0;
-}
-
-el_val_t mem_consolidate(void) {
-  el_val_t scanned = engram_node_count();
-  el_val_t dummy = engram_scan_nodes_json(100, 0);
-  el_val_t total_nodes = engram_node_count();
-  el_val_t total_edges = engram_edge_count();
-  return el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"scanned\":"), int_to_str(scanned)), EL_STR(",\"total_nodes\":")), int_to_str(total_nodes)), EL_STR(",\"total_edges\":")), int_to_str(total_edges)), EL_STR("}"));
-  return 0;
-}
-
-el_val_t mem_save(el_val_t path) {
-  engram_save(path);
-  return 0;
-}
-
-el_val_t mem_load(el_val_t path) {
-  engram_load(path);
-  return 0;
-}
-
-el_val_t mem_boot_count_get(void) {
-  el_val_t results = engram_search_json(EL_STR("soul:boot_count"), 3);
-  if (str_eq(results, EL_STR(""))) {
-    return 0;
-  }
-  if (str_eq(results, EL_STR("[]"))) {
-    return 0;
-  }
-  el_val_t node = json_array_get(results, 0);
-  el_val_t content = json_get(node, EL_STR("content"));
-  el_val_t prefix = EL_STR("soul:boot_count:");
-  if (!str_starts_with(content, prefix)) {
-    return 0;
-  }
-  el_val_t num_str = str_slice(content, str_len(prefix), str_len(content));
-  return str_to_int(num_str);
-  return 0;
-}
-
-el_val_t mem_boot_count_inc(void) {
-  el_val_t current = mem_boot_count_get();
-  el_val_t next = (current + 1);
-  el_val_t content = el_str_concat(EL_STR("soul:boot_count:"), int_to_str(next));
-  el_val_t tags = EL_STR("[\"soul-meta\",\"boot-counter\"]");
-  el_val_t discard = engram_node_full(content, EL_STR("Memory"), EL_STR("soul:boot_count"), el_from_float(el_from_float(0.9)), el_from_float(el_from_float(0.9)), el_from_float(el_from_float(1.0)), EL_STR("Canonical"), tags);
-  return next;
-  return 0;
-}
-
-el_val_t mem_emit_state_event(el_val_t trigger, el_val_t kind, el_val_t content) {
-  el_val_t boot = mem_boot_count_get();
-  el_val_t ts = time_now();
-  el_val_t safe_trigger = str_replace(trigger, EL_STR("\""), EL_STR("'"));
-  el_val_t safe_content = str_replace(content, EL_STR("\""), EL_STR("'"));
-  el_val_t payload = el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"trigger\":\""), safe_trigger), EL_STR("\"")), EL_STR(",\"kind\":\"")), kind), EL_STR("\"")), EL_STR(",\"content\":\"")), safe_content), EL_STR("\"")), EL_STR(",\"boot\":")), int_to_str(boot)), EL_STR(",\"ts\":")), int_to_str(ts)), EL_STR("}"));
-  el_val_t tags = EL_STR("[\"internal-state\",\"pre-reasoning\",\"InternalStateEvent\"]");
-  return engram_node_full(payload, EL_STR("InternalStateEvent"), el_str_concat(EL_STR("state-event:"), kind), el_from_float(el_from_float(0.85)), el_from_float(el_from_float(0.8)), el_from_float(el_from_float(0.9)), EL_STR("Episodic"), tags);
-  return 0;
-}
-
 el_val_t idle_count(void) {
   el_val_t s = state_get(EL_STR("soul.idle"));
   if (str_eq(s, EL_STR(""))) {
@@ -169,14 +67,21 @@ el_val_t idle_reset(void) {
 
 el_val_t ise_post(el_val_t content) {
   el_val_t ise_url = env(EL_STR("SOUL_ISE_URL"));
-  el_val_t engram_url = ({ el_val_t _if_result_1 = 0; if (str_eq(ise_url, EL_STR(""))) { _if_result_1 = (state_get(EL_STR("soul_engram_url"))); } else { _if_result_1 = (ise_url); } _if_result_1; });
-  if (str_eq(engram_url, EL_STR(""))) {
-    el_val_t discard = engram_node_full(content, EL_STR("InternalStateEvent"), EL_STR("state-event"), el_from_float(el_from_float(0.3)), el_from_float(el_from_float(0.3)), el_from_float(el_from_float(0.8)), EL_STR("Episodic"), EL_STR("[\"internal-state\",\"InternalStateEvent\"]"));
+  el_val_t state_url = ({ el_val_t _if_result_1 = 0; if (str_eq(ise_url, EL_STR(""))) { _if_result_1 = (state_get(EL_STR("soul_engram_url"))); } else { _if_result_1 = (ise_url); } _if_result_1; });
+  el_val_t engram_url = ({ el_val_t _if_result_2 = 0; if (str_eq(state_url, EL_STR(""))) { _if_result_2 = (EL_STR("http://localhost:8742")); } else { _if_result_2 = (state_url); } _if_result_2; });
+  el_val_t safe1 = str_replace(content, EL_STR("\\"), EL_STR("\\\\"));
+  el_val_t safe2 = str_replace(safe1, EL_STR("\""), EL_STR("\\\""));
+  el_val_t safe3 = str_replace(safe2, EL_STR("\n"), EL_STR("\\n"));
+  el_val_t safe4 = str_replace(safe3, EL_STR("\r"), EL_STR("\\r"));
+  el_val_t body = el_str_concat(el_str_concat(EL_STR("{\"content\":\""), safe4), EL_STR("\"}"));
+  el_val_t resp = http_post_json(el_str_concat(engram_url, EL_STR("/api/neuron/state-events")), body);
+  if (str_eq(resp, EL_STR(""))) {
+    el_val_t fail_raw = state_get(EL_STR("soul.ise_fail_count"));
+    el_val_t fail_n = ({ el_val_t _if_result_3 = 0; if (str_eq(fail_raw, EL_STR(""))) { _if_result_3 = (0); } else { _if_result_3 = (str_to_int(fail_raw)); } _if_result_3; });
+    state_set(EL_STR("soul.ise_fail_count"), int_to_str((fail_n + 1)));
+    el_val_t discard = engram_node_full(content, EL_STR("InternalStateEvent"), EL_STR("state-event"), el_from_float(0.3), el_from_float(0.3), el_from_float(0.8), EL_STR("Episodic"), EL_STR("[\"internal-state\",\"InternalStateEvent\",\"ise-fallback-local\"]"));
     return EL_STR("");
   }
-  el_val_t safe = str_replace(content, EL_STR("\""), EL_STR("\\\""));
-  el_val_t body = el_str_concat(el_str_concat(EL_STR("{\"content\":\""), safe), EL_STR("\"}"));
-  el_val_t discard = http_post_json(el_str_concat(engram_url, EL_STR("/api/neuron/state-events")), body);
   return EL_STR("");
   return 0;
 }
@@ -194,21 +99,22 @@ el_val_t elapsed_ms(void) {
 el_val_t elapsed_human(void) {
   el_val_t ms = elapsed_ms();
   el_val_t total_secs = (ms / 1000);
-  el_val_t h = (total_secs / 3600);
-  el_val_t rem = total_secs;
-  EL_NULL;
-  3600;
-  el_val_t m = (rem / 60);
-  el_val_t s = rem;
-  EL_NULL;
-  60;
+  el_val_t total_minutes = (total_secs / 60);
+  el_val_t h = (total_minutes / 60);
   if (h > 0) {
+    el_val_t h4 = (((h + h) + h) + h);
+    el_val_t h8 = (h4 + h4);
+    el_val_t h16 = (h8 + h8);
+    el_val_t h32 = (h16 + h16);
+    el_val_t h64 = (h32 + h32);
+    el_val_t h60 = (h64 - h4);
+    el_val_t m = (total_minutes - h60);
     return el_str_concat(el_str_concat(el_str_concat(int_to_str(h), EL_STR("h ")), int_to_str(m)), EL_STR("m"));
   }
-  if (m > 0) {
-    return el_str_concat(el_str_concat(el_str_concat(int_to_str(m), EL_STR("m ")), int_to_str(s)), EL_STR("s"));
+  if (total_minutes > 0) {
+    return el_str_concat(int_to_str(total_minutes), EL_STR("m"));
   }
-  return el_str_concat(int_to_str(s), EL_STR("s"));
+  return el_str_concat(int_to_str(total_secs), EL_STR("s"));
   return 0;
 }
 
@@ -224,9 +130,11 @@ el_val_t embed_ok(void) {
 el_val_t emit_heartbeat(void) {
   el_val_t pulse = int_to_str(pulse_count());
   el_val_t boot_raw = state_get(EL_STR("soul_boot_count"));
-  el_val_t boot = ({ el_val_t _if_result_2 = 0; if (str_eq(boot_raw, EL_STR(""))) { _if_result_2 = (EL_STR("0")); } else { _if_result_2 = (boot_raw); } _if_result_2; });
+  el_val_t boot = ({ el_val_t _if_result_4 = 0; if (str_eq(boot_raw, EL_STR(""))) { _if_result_4 = (EL_STR("0")); } else { _if_result_4 = (boot_raw); } _if_result_4; });
   el_val_t idle = int_to_str(idle_count());
   el_val_t ts = time_now();
+  el_val_t last_act_raw = state_get(EL_STR("soul.last_activity_ts"));
+  el_val_t idle_ms = ({ el_val_t _if_result_5 = 0; if (str_eq(last_act_raw, EL_STR(""))) { _if_result_5 = ((0 - 1)); } else { _if_result_5 = ((ts - str_to_int(last_act_raw))); } _if_result_5; });
   el_val_t nc = engram_node_count();
   el_val_t ec = engram_edge_count();
   el_val_t wmc = engram_wm_count();
@@ -236,11 +144,173 @@ el_val_t emit_heartbeat(void) {
   el_val_t up_ms = elapsed_ms();
   el_val_t up_human = elapsed_human();
   el_val_t emb_ok = embed_ok();
-  el_val_t payload = el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"event\":\"heartbeat\",\"pulse\":"), pulse), EL_STR(",\"boot\":")), boot), EL_STR(",\"idle\":")), idle), EL_STR(",\"node_count\":")), int_to_str(nc)), EL_STR(",\"edge_count\":")), int_to_str(ec)), EL_STR(",\"wm_active\":")), int_to_str(wmc)), EL_STR(",\"wm_avg_weight\":")), wm_avg_str), EL_STR(",\"wm_top\":")), wm_top), EL_STR(",\"ts\":")), int_to_str(ts)), EL_STR(",\"uptime_ms\":")), int_to_str(up_ms)), EL_STR(",\"uptime\":\"")), up_human), EL_STR("\",\"embed_ok\":")), int_to_str(emb_ok)), EL_STR("}"));
+  el_val_t fail_raw = state_get(EL_STR("soul.ise_fail_count"));
+  el_val_t fail_str = ({ el_val_t _if_result_6 = 0; if (str_eq(fail_raw, EL_STR(""))) { _if_result_6 = (EL_STR("0")); } else { _if_result_6 = (fail_raw); } _if_result_6; });
+  el_val_t sat_raw = state_get(EL_STR("soul.sync_added_total"));
+  el_val_t sat_str = ({ el_val_t _if_result_7 = 0; if (str_eq(sat_raw, EL_STR(""))) { _if_result_7 = (EL_STR("0")); } else { _if_result_7 = (sat_raw); } _if_result_7; });
+  el_val_t prev_wm_raw = state_get(EL_STR("soul.prev_wm_active"));
+  el_val_t prev_wm = ({ el_val_t _if_result_8 = 0; if (str_eq(prev_wm_raw, EL_STR(""))) { _if_result_8 = (0); } else { _if_result_8 = (str_to_int(prev_wm_raw)); } _if_result_8; });
+  el_val_t wm_delta = (wmc - prev_wm);
+  state_set(EL_STR("soul.prev_wm_active"), int_to_str(wmc));
+  el_val_t prev_nc_raw = state_get(EL_STR("soul.prev_node_count"));
+  el_val_t prev_nc = ({ el_val_t _if_result_9 = 0; if (str_eq(prev_nc_raw, EL_STR(""))) { _if_result_9 = (nc); } else { _if_result_9 = (str_to_int(prev_nc_raw)); } _if_result_9; });
+  el_val_t node_delta = (nc - prev_nc);
+  state_set(EL_STR("soul.prev_node_count"), int_to_str(nc));
+  el_val_t prev_ec_raw = state_get(EL_STR("soul.prev_edge_count"));
+  el_val_t prev_ec = ({ el_val_t _if_result_10 = 0; if (str_eq(prev_ec_raw, EL_STR(""))) { _if_result_10 = (ec); } else { _if_result_10 = (str_to_int(prev_ec_raw)); } _if_result_10; });
+  el_val_t edge_delta = (ec - prev_ec);
+  state_set(EL_STR("soul.prev_edge_count"), int_to_str(ec));
+  el_val_t sync_ok_raw = state_get(EL_STR("soul.last_sync_ok_ts"));
+  el_val_t sync_age = ({ el_val_t _if_result_11 = 0; if (str_eq(sync_ok_raw, EL_STR(""))) { _if_result_11 = ((0 - 1)); } else { _if_result_11 = ((ts - str_to_int(sync_ok_raw))); } _if_result_11; });
+  el_val_t hb_env_url = env(EL_STR("SOUL_ISE_URL"));
+  el_val_t hb_state_url = ({ el_val_t _if_result_12 = 0; if (str_eq(hb_env_url, EL_STR(""))) { _if_result_12 = (state_get(EL_STR("soul_engram_url"))); } else { _if_result_12 = (hb_env_url); } _if_result_12; });
+  el_val_t hb_engram_url = ({ el_val_t _if_result_13 = 0; if (str_eq(hb_state_url, EL_STR(""))) { _if_result_13 = (EL_STR("http://localhost:8742")); } else { _if_result_13 = (hb_state_url); } _if_result_13; });
+  el_val_t bf_resp = http_get(el_str_concat(hb_engram_url, EL_STR("/api/embed-backfill?n=32")));
+  el_val_t bf_done_raw = json_get(bf_resp, EL_STR("embedded"));
+  el_val_t bf_done = ({ el_val_t _if_result_14 = 0; if (str_eq(bf_done_raw, EL_STR(""))) { _if_result_14 = (EL_STR("-1")); } else { _if_result_14 = (bf_done_raw); } _if_result_14; });
+  el_val_t bf_total_raw = json_get(bf_resp, EL_STR("embedded_count"));
+  el_val_t bf_total = ({ el_val_t _if_result_15 = 0; if (str_eq(bf_total_raw, EL_STR(""))) { _if_result_15 = (EL_STR("-1")); } else { _if_result_15 = (bf_total_raw); } _if_result_15; });
+  el_val_t wm_sat = ({ el_val_t _if_result_16 = 0; if ((wmc >= 24)) { _if_result_16 = (1); } else { _if_result_16 = (0); } _if_result_16; });
+  el_val_t prev_sat_raw = state_get(EL_STR("soul.prev_wm_saturated"));
+  el_val_t prev_sat = ({ el_val_t _if_result_17 = 0; if (str_eq(prev_sat_raw, EL_STR(""))) { _if_result_17 = (wm_sat); } else { _if_result_17 = (str_to_int(prev_sat_raw)); } _if_result_17; });
+  if (wm_sat != prev_sat) {
+    el_val_t sat_dir = ({ el_val_t _if_result_18 = 0; if ((wm_sat == 1)) { _if_result_18 = (EL_STR("onset")); } else { _if_result_18 = (EL_STR("release")); } _if_result_18; });
+    ise_post(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"event\":\"wm_saturation_transition\",\"direction\":\""), sat_dir), EL_STR("\",\"wm_active\":")), int_to_str(wmc)), EL_STR(",\"wm_top\":")), wm_top), EL_STR(",\"ts\":")), int_to_str(ts)), EL_STR("}")));
+  }
+  state_set(EL_STR("soul.prev_wm_saturated"), int_to_str(wm_sat));
+  el_val_t wm_top0 = json_array_get(wm_top, 0);
+  el_val_t wm_top0_id = json_get(wm_top0, EL_STR("id"));
+  el_val_t prev_top0 = state_get(EL_STR("soul.prev_wm_top0"));
+  el_val_t t0streak_raw = state_get(EL_STR("soul.wm_top0_streak"));
+  el_val_t t0streak_prev = ({ el_val_t _if_result_19 = 0; if (str_eq(t0streak_raw, EL_STR(""))) { _if_result_19 = (0); } else { _if_result_19 = (str_to_int(t0streak_raw)); } _if_result_19; });
+  el_val_t t0streak = ({ el_val_t _if_result_20 = 0; if (str_eq(wm_top0_id, EL_STR(""))) { _if_result_20 = (0); } else { _if_result_20 = (({ el_val_t _if_result_21 = 0; if (str_eq(wm_top0_id, prev_top0)) { _if_result_21 = ((t0streak_prev + 1)); } else { _if_result_21 = (1); } _if_result_21; })); } _if_result_20; });
+  state_set(EL_STR("soul.prev_wm_top0"), wm_top0_id);
+  state_set(EL_STR("soul.wm_top0_streak"), int_to_str(t0streak));
+  el_val_t ch_id1 = json_get(json_array_get(wm_top, 1), EL_STR("id"));
+  el_val_t ch_id2 = json_get(json_array_get(wm_top, 2), EL_STR("id"));
+  el_val_t ch_id3 = json_get(json_array_get(wm_top, 3), EL_STR("id"));
+  el_val_t ch_id4 = json_get(json_array_get(wm_top, 4), EL_STR("id"));
+  el_val_t prev_top5 = state_get(EL_STR("soul.prev_wm_top5"));
+  el_val_t ch0 = ({ el_val_t _if_result_22 = 0; if (str_eq(wm_top0_id, EL_STR(""))) { _if_result_22 = (0); } else { _if_result_22 = (({ el_val_t _if_result_23 = 0; if (str_contains(prev_top5, wm_top0_id)) { _if_result_23 = (0); } else { _if_result_23 = (1); } _if_result_23; })); } _if_result_22; });
+  el_val_t ch1 = ({ el_val_t _if_result_24 = 0; if (str_eq(ch_id1, EL_STR(""))) { _if_result_24 = (0); } else { _if_result_24 = (({ el_val_t _if_result_25 = 0; if (str_contains(prev_top5, ch_id1)) { _if_result_25 = (0); } else { _if_result_25 = (1); } _if_result_25; })); } _if_result_24; });
+  el_val_t ch2 = ({ el_val_t _if_result_26 = 0; if (str_eq(ch_id2, EL_STR(""))) { _if_result_26 = (0); } else { _if_result_26 = (({ el_val_t _if_result_27 = 0; if (str_contains(prev_top5, ch_id2)) { _if_result_27 = (0); } else { _if_result_27 = (1); } _if_result_27; })); } _if_result_26; });
+  el_val_t ch3 = ({ el_val_t _if_result_28 = 0; if (str_eq(ch_id3, EL_STR(""))) { _if_result_28 = (0); } else { _if_result_28 = (({ el_val_t _if_result_29 = 0; if (str_contains(prev_top5, ch_id3)) { _if_result_29 = (0); } else { _if_result_29 = (1); } _if_result_29; })); } _if_result_28; });
+  el_val_t ch4 = ({ el_val_t _if_result_30 = 0; if (str_eq(ch_id4, EL_STR(""))) { _if_result_30 = (0); } else { _if_result_30 = (({ el_val_t _if_result_31 = 0; if (str_contains(prev_top5, ch_id4)) { _if_result_31 = (0); } else { _if_result_31 = (1); } _if_result_31; })); } _if_result_30; });
+  el_val_t wm_churn = ((((ch0 + ch1) + ch2) + ch3) + ch4);
+  state_set(EL_STR("soul.prev_wm_top5"), el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(wm_top0_id, EL_STR("|")), ch_id1), EL_STR("|")), ch_id2), EL_STR("|")), ch_id3), EL_STR("|")), ch_id4));
+  el_val_t wm_top0_wm_raw = json_get(wm_top0, EL_STR("wm"));
+  el_val_t wm_top0_wm = ({ el_val_t _if_result_32 = 0; if (str_eq(wm_top0_wm_raw, EL_STR(""))) { _if_result_32 = (EL_STR("0")); } else { _if_result_32 = (wm_top0_wm_raw); } _if_result_32; });
+  el_val_t act_stats = engram_act_stats_json();
+  el_val_t act_evict_raw = json_get(act_stats, EL_STR("wm_evicted"));
+  el_val_t act_evict = ({ el_val_t _if_result_33 = 0; if (str_eq(act_evict_raw, EL_STR(""))) { _if_result_33 = (EL_STR("-1")); } else { _if_result_33 = (act_evict_raw); } _if_result_33; });
+  el_val_t act_bt_raw = json_get(act_stats, EL_STR("breakthroughs"));
+  el_val_t act_bt = ({ el_val_t _if_result_34 = 0; if (str_eq(act_bt_raw, EL_STR(""))) { _if_result_34 = (EL_STR("-1")); } else { _if_result_34 = (act_bt_raw); } _if_result_34; });
+  el_val_t evict_now = ({ el_val_t _if_result_35 = 0; if (str_eq(act_evict_raw, EL_STR(""))) { _if_result_35 = ((0 - 1)); } else { _if_result_35 = (str_to_int(act_evict_raw)); } _if_result_35; });
+  el_val_t bt_now = ({ el_val_t _if_result_36 = 0; if (str_eq(act_bt_raw, EL_STR(""))) { _if_result_36 = ((0 - 1)); } else { _if_result_36 = (str_to_int(act_bt_raw)); } _if_result_36; });
+  el_val_t prev_evict_raw = state_get(EL_STR("soul.prev_wm_evicted"));
+  el_val_t prev_evict = ({ el_val_t _if_result_37 = 0; if (str_eq(prev_evict_raw, EL_STR(""))) { _if_result_37 = (0); } else { _if_result_37 = (str_to_int(prev_evict_raw)); } _if_result_37; });
+  el_val_t prev_bt_raw = state_get(EL_STR("soul.prev_breakthroughs"));
+  el_val_t prev_bt = ({ el_val_t _if_result_38 = 0; if (str_eq(prev_bt_raw, EL_STR(""))) { _if_result_38 = (0); } else { _if_result_38 = (str_to_int(prev_bt_raw)); } _if_result_38; });
+  el_val_t evict_delta = ({ el_val_t _if_result_39 = 0; if ((evict_now < 0)) { _if_result_39 = (0); } else { _if_result_39 = (({ el_val_t _if_result_40 = 0; if ((evict_now < prev_evict)) { _if_result_40 = (evict_now); } else { _if_result_40 = ((evict_now - prev_evict)); } _if_result_40; })); } _if_result_39; });
+  el_val_t bt_delta = ({ el_val_t _if_result_41 = 0; if ((bt_now < 0)) { _if_result_41 = (0); } else { _if_result_41 = (({ el_val_t _if_result_42 = 0; if ((bt_now < prev_bt)) { _if_result_42 = (bt_now); } else { _if_result_42 = ((bt_now - prev_bt)); } _if_result_42; })); } _if_result_41; });
+  if (evict_now >= 0) {
+    state_set(EL_STR("soul.prev_wm_evicted"), int_to_str(evict_now));
+  }
+  if (bt_now >= 0) {
+    state_set(EL_STR("soul.prev_breakthroughs"), int_to_str(bt_now));
+  }
+  el_val_t hb_stats = http_get(el_str_concat(hb_engram_url, EL_STR("/api/stats")));
+  el_val_t embed_elig_raw = json_get(hb_stats, EL_STR("embed_eligible_count"));
+  el_val_t embed_elig = ({ el_val_t _if_result_43 = 0; if (str_eq(embed_elig_raw, EL_STR(""))) { _if_result_43 = (EL_STR("-1")); } else { _if_result_43 = (embed_elig_raw); } _if_result_43; });
+  el_val_t hb_ats_raw = state_get(EL_STR("soul.auto_term_streak"));
+  el_val_t hb_ats = ({ el_val_t _if_result_44 = 0; if (str_eq(hb_ats_raw, EL_STR(""))) { _if_result_44 = (0); } else { _if_result_44 = (str_to_int(hb_ats_raw)); } _if_result_44; });
+  el_val_t act_brk_raw = json_get(act_stats, EL_STR("embed_breaker_open"));
+  el_val_t act_brk = ({ el_val_t _if_result_45 = 0; if (str_eq(act_brk_raw, EL_STR(""))) { _if_result_45 = (EL_STR("-1")); } else { _if_result_45 = (act_brk_raw); } _if_result_45; });
+  el_val_t ctx_cos_raw = json_get(act_stats, EL_STR("ctx_cos"));
+  el_val_t ctx_cos = ({ el_val_t _if_result_46 = 0; if (str_eq(ctx_cos_raw, EL_STR(""))) { _if_result_46 = (EL_STR("-2")); } else { _if_result_46 = (ctx_cos_raw); } _if_result_46; });
+  el_val_t payload = el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"event\":\"heartbeat\",\"pulse\":"), pulse), EL_STR(",\"tick\":")), pulse), EL_STR(",\"boot\":")), boot), EL_STR(",\"idle\":")), idle), EL_STR(",\"idle_ms\":")), int_to_str(idle_ms)), EL_STR(",\"node_count\":")), int_to_str(nc)), EL_STR(",\"edge_count\":")), int_to_str(ec)), EL_STR(",\"node_delta\":")), int_to_str(node_delta)), EL_STR(",\"edge_delta\":")), int_to_str(edge_delta)), EL_STR(",\"wm_active\":")), int_to_str(wmc)), EL_STR(",\"wm_delta\":")), int_to_str(wm_delta)), EL_STR(",\"wm_saturated\":")), int_to_str(wm_sat)), EL_STR(",\"wm_top0_streak\":")), int_to_str(t0streak)), EL_STR(",\"wm_churn\":")), int_to_str(wm_churn)), EL_STR(",\"wm_top0_wm\":")), wm_top0_wm), EL_STR(",\"sync_added_total\":")), sat_str), EL_STR(",\"sync_age_ms\":")), int_to_str(sync_age)), EL_STR(",\"wm_avg_weight\":")), wm_avg_str), EL_STR(",\"wm_top\":")), wm_top), EL_STR(",\"ts\":")), int_to_str(ts)), EL_STR(",\"uptime_ms\":")), int_to_str(up_ms)), EL_STR(",\"uptime\":\"")), up_human), EL_STR("\",\"embed_ok\":")), int_to_str(emb_ok)), EL_STR(",\"embed_backfilled\":")), bf_done), EL_STR(",\"embed_count\":")), bf_total), EL_STR(",\"embed_eligible\":")), embed_elig), EL_STR(",\"wm_evicted\":")), act_evict), EL_STR(",\"wm_evicted_delta\":")), int_to_str(evict_delta)), EL_STR(",\"breakthroughs\":")), act_bt), EL_STR(",\"breakthroughs_delta\":")), int_to_str(bt_delta)), EL_STR(",\"auto_term_streak\":")), int_to_str(hb_ats)), EL_STR(",\"embed_breaker_open\":")), act_brk), EL_STR(",\"ctx_cos\":")), ctx_cos), EL_STR(",\"ise_fail\":")), fail_str), EL_STR("}"));
   ise_post(payload);
   return 0;
 }
 
+el_val_t auto_term_try_slot(el_val_t slot_type, el_val_t slot_lbl) {
+  state_set(EL_STR("_ats_ok"), EL_STR("0"));
+  if (str_eq(slot_type, EL_STR("Memory"))) {
+    state_set(EL_STR("_ats_ok"), EL_STR("1"));
+  }
+  if (str_eq(slot_type, EL_STR("BacklogItem"))) {
+    state_set(EL_STR("_ats_ok"), EL_STR("1"));
+  }
+  if (str_eq(slot_type, EL_STR("Entity"))) {
+    state_set(EL_STR("_ats_ok"), EL_STR("1"));
+  }
+  if (str_eq(slot_type, EL_STR("Knowledge"))) {
+    state_set(EL_STR("_ats_ok"), EL_STR("1"));
+  }
+  if (str_contains(slot_lbl, EL_STR(":"))) {
+    if (!str_contains(slot_lbl, EL_STR(" "))) {
+      state_set(EL_STR("_ats_ok"), EL_STR("0"));
+    }
+  }
+  if (str_eq(state_get(EL_STR("_ats_ok")), EL_STR("1"))) {
+    if (!str_eq(slot_lbl, EL_STR(""))) {
+      el_val_t sp = str_find_chars(slot_lbl, EL_STR(" :(["));
+      if (sp > 3) {
+        el_val_t term = str_slice(slot_lbl, 0, sp);
+        state_set(EL_STR("_ats_gw"), EL_STR("0"));
+        if (str_eq(term, EL_STR("Method"))) {
+          state_set(EL_STR("_ats_gw"), EL_STR("1"));
+        }
+        if (str_eq(term, EL_STR("Theory"))) {
+          state_set(EL_STR("_ats_gw"), EL_STR("1"));
+        }
+        if (str_eq(term, EL_STR("Finding"))) {
+          state_set(EL_STR("_ats_gw"), EL_STR("1"));
+        }
+        if (str_eq(term, EL_STR("Survey"))) {
+          state_set(EL_STR("_ats_gw"), EL_STR("1"));
+        }
+        if (str_eq(term, EL_STR("Paper"))) {
+          state_set(EL_STR("_ats_gw"), EL_STR("1"));
+        }
+        if (str_eq(term, EL_STR("Knowledge"))) {
+          state_set(EL_STR("_ats_gw"), EL_STR("1"));
+        }
+        if (str_eq(term, EL_STR("Value"))) {
+          state_set(EL_STR("_ats_gw"), EL_STR("1"));
+        }
+        el_val_t stopw = EL_STR("|What|When|Where|Which|Whose|While|This|That|These|Those|There|Their|Then|Than|With|Without|From|Into|Onto|Over|Under|About|Between|Among|Across|Some|Most|More|Less|Very|Each|Every|Both|Also|Only|Just|Does|Will|Would|Could|Should|Might|Must|Have|Been|Being|Toward|Towards|Using|Based|Upon|Here|Your|Ours|They|Them|what|this|that|with|from|context|Context|Prose|Colon|Self|Test|Testing|Closing|Global|Universal|Persona|Semantic|Spreading|Temporal|Numeric|Register|Identifying|Introduction|Overview|Summary|Section|General|Notes|Note|");
+        if (str_contains(stopw, el_str_concat(el_str_concat(EL_STR("|"), term), EL_STR("|")))) {
+          state_set(EL_STR("_ats_gw"), EL_STR("1"));
+        }
+        if (str_contains(term, EL_STR("\""))) {
+          state_set(EL_STR("_ats_gw"), EL_STR("1"));
+        }
+        if (str_contains(term, EL_STR("'"))) {
+          state_set(EL_STR("_ats_gw"), EL_STR("1"));
+        }
+        if (str_eq(term, state_get(EL_STR("soul.tabu_t0")))) {
+          state_set(EL_STR("_ats_gw"), EL_STR("1"));
+        }
+        if (str_eq(term, state_get(EL_STR("soul.tabu_t1")))) {
+          state_set(EL_STR("_ats_gw"), EL_STR("1"));
+        }
+        if (str_eq(term, state_get(EL_STR("soul.tabu_t2")))) {
+          state_set(EL_STR("_ats_gw"), EL_STR("1"));
+        }
+        if (str_eq(term, state_get(EL_STR("soul.tabu_t3")))) {
+          state_set(EL_STR("_ats_gw"), EL_STR("1"));
+        }
+        if (str_eq(state_get(EL_STR("_ats_gw")), EL_STR("0"))) {
+          state_set(EL_STR("cseed_auto"), term);
+        }
+      }
+    }
+  }
+  return EL_STR("");
+  return 0;
+}
+
 el_val_t proactive_curiosity(void) {
   el_val_t ts = time_now();
   el_val_t ts_minutes = (ts / 60000);
@@ -270,17 +340,61 @@ el_val_t proactive_curiosity(void) {
   el_val_t curiosity_term_b = state_get(EL_STR("cseed_b"));
   el_val_t curiosity_term_c = state_get(EL_STR("cseed_c"));
   el_val_t curiosity_seed = el_str_concat(el_str_concat(el_str_concat(el_str_concat(curiosity_term_a, EL_STR(" ")), curiosity_term_b), EL_STR(" ")), curiosity_term_c);
-  el_val_t results_a = engram_activate_json(curiosity_term_a, 1);
-  el_val_t results_b = engram_activate_json(curiosity_term_b, 1);
-  el_val_t results_c = engram_activate_json(curiosity_term_c, 1);
-  el_val_t found_a = json_array_len(results_a);
-  el_val_t found_b = json_array_len(results_b);
-  el_val_t found_c = json_array_len(results_c);
-  el_val_t found = ((found_a + found_b) + found_c);
+  el_val_t results_all = engram_activate_json(curiosity_seed, 1);
+  el_val_t found = json_array_len(results_all);
+  el_val_t top_entry = json_array_get(results_all, 0);
+  el_val_t top_id = json_get(top_entry, EL_STR("id"));
+  el_val_t prev_str_id = state_get(EL_STR("soul.last_strengthen_id"));
+  if (!str_eq(top_id, EL_STR(""))) {
+    if (!str_eq(top_id, prev_str_id)) {
+      engram_strengthen(top_id);
+    }
+    state_set(EL_STR("soul.last_strengthen_id"), top_id);
+  }
+  state_set(EL_STR("cseed_auto"), EL_STR(""));
+  el_val_t wm10 = engram_wm_top_json(10);
+  el_val_t wm10_n9 = json_array_get(wm10, 9);
+  el_val_t wm10_n8 = json_array_get(wm10, 8);
+  el_val_t wm10_n7 = json_array_get(wm10, 7);
+  el_val_t wm10_n6 = json_array_get(wm10, 6);
+  el_val_t wm10_n5 = json_array_get(wm10, 5);
+  el_val_t wm10_n4 = json_array_get(wm10, 4);
+  el_val_t wm10_n3 = json_array_get(wm10, 3);
+  el_val_t wm10_n2 = json_array_get(wm10, 2);
+  el_val_t wm10_n1 = json_array_get(wm10, 1);
+  el_val_t wm10_n0 = json_array_get(wm10, 0);
+  auto_term_try_slot(json_get(wm10_n9, EL_STR("node_type")), json_get(wm10_n9, EL_STR("label")));
+  auto_term_try_slot(json_get(wm10_n8, EL_STR("node_type")), json_get(wm10_n8, EL_STR("label")));
+  auto_term_try_slot(json_get(wm10_n7, EL_STR("node_type")), json_get(wm10_n7, EL_STR("label")));
+  auto_term_try_slot(json_get(wm10_n6, EL_STR("node_type")), json_get(wm10_n6, EL_STR("label")));
+  auto_term_try_slot(json_get(wm10_n5, EL_STR("node_type")), json_get(wm10_n5, EL_STR("label")));
+  auto_term_try_slot(json_get(wm10_n4, EL_STR("node_type")), json_get(wm10_n4, EL_STR("label")));
+  auto_term_try_slot(json_get(wm10_n3, EL_STR("node_type")), json_get(wm10_n3, EL_STR("label")));
+  auto_term_try_slot(json_get(wm10_n2, EL_STR("node_type")), json_get(wm10_n2, EL_STR("label")));
+  auto_term_try_slot(json_get(wm10_n1, EL_STR("node_type")), json_get(wm10_n1, EL_STR("label")));
+  auto_term_try_slot(json_get(wm10_n0, EL_STR("node_type")), json_get(wm10_n0, EL_STR("label")));
+  el_val_t auto_term = state_get(EL_STR("cseed_auto"));
+  el_val_t results_auto = ({ el_val_t _if_result_47 = 0; if (str_eq(auto_term, EL_STR(""))) { _if_result_47 = (EL_STR("[]")); } else { _if_result_47 = (engram_activate_json(auto_term, 1)); } _if_result_47; });
+  el_val_t found_auto = json_array_len(results_auto);
+  el_val_t total_found = (found + found_auto);
+  el_val_t safe_auto = str_replace(auto_term, EL_STR("\""), EL_STR("'"));
+  el_val_t prev_auto = state_get(EL_STR("soul.prev_auto_term"));
+  el_val_t atstreak_raw = state_get(EL_STR("soul.auto_term_streak"));
+  el_val_t atstreak_prev = ({ el_val_t _if_result_48 = 0; if (str_eq(atstreak_raw, EL_STR(""))) { _if_result_48 = (0); } else { _if_result_48 = (str_to_int(atstreak_raw)); } _if_result_48; });
+  el_val_t atstreak = ({ el_val_t _if_result_49 = 0; if (str_eq(auto_term, prev_auto)) { _if_result_49 = ((atstreak_prev + 1)); } else { _if_result_49 = (1); } _if_result_49; });
+  state_set(EL_STR("soul.prev_auto_term"), auto_term);
+  state_set(EL_STR("soul.auto_term_streak"), int_to_str(atstreak));
+  if (!str_eq(auto_term, EL_STR(""))) {
+    state_set(EL_STR("soul.tabu_t3"), state_get(EL_STR("soul.tabu_t2")));
+    state_set(EL_STR("soul.tabu_t2"), state_get(EL_STR("soul.tabu_t1")));
+    state_set(EL_STR("soul.tabu_t1"), state_get(EL_STR("soul.tabu_t0")));
+    state_set(EL_STR("soul.tabu_t0"), auto_term);
+  }
   el_val_t wmc = engram_wm_count();
-  el_val_t ise = el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"event\":\"curiosity_scan\",\"seed\":\""), curiosity_seed), EL_STR("\",\"minute_block\":")), int_to_str(minute_block)), EL_STR(",\"activated\":")), int_to_str(found)), EL_STR(",\"wm_active\":")), int_to_str(wmc)), EL_STR(",\"ts\":")), int_to_str(ts)), EL_STR("}"));
+  el_val_t wm3 = engram_wm_top_json(3);
+  el_val_t ise = el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"event\":\"curiosity_scan\",\"seed\":\""), curiosity_seed), EL_STR("\",\"auto_term\":\"")), safe_auto), EL_STR("\",\"auto_term_streak\":")), int_to_str(atstreak)), EL_STR(",\"minute_block\":")), int_to_str(minute_block)), EL_STR(",\"activated\":")), int_to_str(total_found)), EL_STR(",\"wm_active\":")), int_to_str(wmc)), EL_STR(",\"wm_top\":")), wm3), EL_STR(",\"ts\":")), int_to_str(ts)), EL_STR("}"));
   ise_post(ise);
-  return (found > 0);
+  return (total_found > 0);
   return 0;
 }
 
@@ -310,7 +424,7 @@ el_val_t make_action(el_val_t kind, el_val_t payload) {
 }
 
 el_val_t perceive(void) {
-  el_val_t inbox_check = engram_search_json(EL_STR("soul-inbox"), 5);
+  el_val_t inbox_check = engram_search_json(EL_STR("soul-inbox-pending"), 5);
   el_val_t has_inbox = (!str_eq(inbox_check, EL_STR("")) && !str_eq(inbox_check, EL_STR("[]")));
   if (!has_inbox) {
     return EL_STR("[]");
@@ -320,11 +434,6 @@ el_val_t perceive(void) {
   if (pending_ok) {
     return from_pending;
   }
-  el_val_t from_inbox = engram_activate_json(EL_STR("soul-inbox"), 2);
-  el_val_t inbox_ok = (!str_eq(from_inbox, EL_STR("")) && !str_eq(from_inbox, EL_STR("[]")));
-  if (inbox_ok) {
-    return from_inbox;
-  }
   return EL_STR("[]");
   return 0;
 }
@@ -336,10 +445,6 @@ el_val_t attend(el_val_t node_json) {
   if (str_eq(node_json, EL_STR("[]"))) {
     return make_action(EL_STR("noop"), EL_STR(""));
   }
-  el_val_t node_id = json_get(node_json, EL_STR("id"));
-  if (!str_eq(node_id, EL_STR(""))) {
-    engram_strengthen(node_id);
-  }
   el_val_t content = json_get(node_json, EL_STR("content"));
   if (str_eq(content, EL_STR(""))) {
     return make_action(EL_STR("noop"), EL_STR(""));
@@ -410,16 +515,17 @@ el_val_t respond(el_val_t action_json) {
     return el_str_concat(el_str_concat(EL_STR("{\"outcome\":\"strengthened\",\"id\":\""), payload), EL_STR("\"}"));
   }
   if (str_eq(kind, EL_STR("forget"))) {
-    engram_forget(payload);
-    return el_str_concat(el_str_concat(EL_STR("{\"outcome\":\"forgotten\",\"id\":\""), payload), EL_STR("\"}"));
+    el_val_t _marker = mem_tombstone(payload);
+    return el_str_concat(el_str_concat(EL_STR("{\"outcome\":\"tombstoned\",\"id\":\""), payload), EL_STR("\"}"));
   }
   return EL_STR("{\"outcome\":\"noop\"}");
   return 0;
 }
 
 el_val_t record(el_val_t outcome_json) {
-  el_val_t tags = EL_STR("[\"loop-outcome\"]");
-  mem_store(outcome_json, EL_STR("loop-outcome"), tags);
+  el_val_t safe = str_replace(outcome_json, EL_STR("\""), EL_STR("'"));
+  el_val_t ts = time_now();
+  ise_post(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"event\":\"loop-outcome\",\"outcome\":\""), safe), EL_STR("\",\"ts\":")), int_to_str(ts)), EL_STR("}")));
   return 0;
 }
 
@@ -435,6 +541,10 @@ el_val_t one_cycle(void) {
   if (str_eq(node, EL_STR(""))) {
     return 0;
   }
+  el_val_t node_tags = json_get(node, EL_STR("tags"));
+  if (!str_contains(node_tags, EL_STR("soul-inbox-pending"))) {
+    return 0;
+  }
   el_val_t action = attend(node);
   el_val_t kind = json_get(action, EL_STR("kind"));
   el_val_t is_interesting = (!str_eq(kind, EL_STR("noop")) && !str_eq(kind, EL_STR("respond")));
@@ -450,7 +560,10 @@ el_val_t one_cycle(void) {
   }
   el_val_t outcome = respond(action);
   record(outcome);
-  pulse_inc();
+  el_val_t trigger_id = json_get(node, EL_STR("id"));
+  if (!str_eq(trigger_id, EL_STR(""))) {
+    engram_forget(trigger_id);
+  }
   return 1;
   return 0;
 }
@@ -462,36 +575,86 @@ el_val_t awareness_run(void) {
     state_set(EL_STR("soul.boot_ts"), int_to_str(time_now()));
   }
   el_val_t tick_raw = env(EL_STR("SOUL_TICK_MS"));
-  el_val_t tick_ms = ({ el_val_t _if_result_3 = 0; if (str_eq(tick_raw, EL_STR(""))) { _if_result_3 = (200); } else { _if_result_3 = (str_to_int(tick_raw)); } _if_result_3; });
+  el_val_t tick_ms = ({ el_val_t _if_result_50 = 0; if (str_eq(tick_raw, EL_STR(""))) { _if_result_50 = (200); } else { _if_result_50 = (str_to_int(tick_raw)); } _if_result_50; });
   el_val_t beat_ms_raw = env(EL_STR("SOUL_HEARTBEAT_MS"));
-  el_val_t beat_ms = ({ el_val_t _if_result_4 = 0; if (str_eq(beat_ms_raw, EL_STR(""))) { _if_result_4 = (60000); } else { _if_result_4 = (str_to_int(beat_ms_raw)); } _if_result_4; });
+  el_val_t beat_ms = ({ el_val_t _if_result_51 = 0; if (str_eq(beat_ms_raw, EL_STR(""))) { _if_result_51 = (60000); } else { _if_result_51 = (str_to_int(beat_ms_raw)); } _if_result_51; });
   el_val_t scan_ms = (beat_ms / 2);
   while (1) {
+    el_val_t tick_mark = el_arena_push();
     el_val_t running = state_get(EL_STR("soul.running"));
     if (str_eq(running, EL_STR("false"))) {
+      el_val_t sd_boot_raw = state_get(EL_STR("soul_boot_count"));
+      el_val_t sd_boot = ({ el_val_t _if_result_52 = 0; if (str_eq(sd_boot_raw, EL_STR(""))) { _if_result_52 = (EL_STR("0")); } else { _if_result_52 = (sd_boot_raw); } _if_result_52; });
+      ise_post(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"event\":\"shutdown\",\"boot\":"), sd_boot), EL_STR(",\"pulse\":")), int_to_str(pulse_count())), EL_STR(",\"uptime_ms\":")), int_to_str(elapsed_ms())), EL_STR(",\"ts\":")), int_to_str(time_now())), EL_STR("}")));
       println(EL_STR("[awareness] exiting"));
+      el_arena_pop(tick_mark);
       return EL_STR("");
     }
     el_val_t did_work = one_cycle();
-    did_work = ({ el_val_t _if_result_5 = 0; if (did_work) { _if_result_5 = (idle_reset()); } else { _if_result_5 = (did_work); } _if_result_5; });
+    pulse_inc();
+    if (did_work) {
+      idle_reset();
+    }
+    if (!did_work) {
+      idle_inc();
+    }
     el_val_t now_ts = time_now();
     el_val_t last_beat_str = state_get(EL_STR("soul.last_beat_ts"));
-    el_val_t last_beat_ts = ({ el_val_t _if_result_6 = 0; if (str_eq(last_beat_str, EL_STR(""))) { _if_result_6 = (0); } else { _if_result_6 = (str_to_int(last_beat_str)); } _if_result_6; });
+    el_val_t last_beat_ts = ({ el_val_t _if_result_53 = 0; if (str_eq(last_beat_str, EL_STR(""))) { _if_result_53 = (0); } else { _if_result_53 = (str_to_int(last_beat_str)); } _if_result_53; });
     el_val_t beat_elapsed = (now_ts - last_beat_ts);
     el_val_t should_beat = (beat_elapsed >= beat_ms);
     if (should_beat) {
       emit_heartbeat();
       state_set(EL_STR("soul.last_beat_ts"), int_to_str(now_ts));
+      el_val_t snap_path = state_get(EL_STR("soul_snapshot_path"));
+      if (!str_eq(snap_path, EL_STR(""))) {
+        mem_save(snap_path);
+      }
     }
     el_val_t last_scan_str = state_get(EL_STR("soul.last_scan_ts"));
-    el_val_t last_scan_ts = ({ el_val_t _if_result_7 = 0; if (str_eq(last_scan_str, EL_STR(""))) { _if_result_7 = (0); } else { _if_result_7 = (str_to_int(last_scan_str)); } _if_result_7; });
+    el_val_t last_scan_ts = ({ el_val_t _if_result_54 = 0; if (str_eq(last_scan_str, EL_STR(""))) { _if_result_54 = (0); } else { _if_result_54 = (str_to_int(last_scan_str)); } _if_result_54; });
     el_val_t scan_elapsed = (now_ts - last_scan_ts);
     el_val_t should_scan = (!did_work && (scan_elapsed >= scan_ms));
     if (should_scan) {
       el_val_t found_something = proactive_curiosity();
       state_set(EL_STR("soul.last_scan_ts"), int_to_str(now_ts));
     }
+    el_val_t refresh_ms_raw = env(EL_STR("SOUL_REFRESH_MS"));
+    el_val_t refresh_ms = ({ el_val_t _if_result_55 = 0; if (str_eq(refresh_ms_raw, EL_STR(""))) { _if_result_55 = (600000); } else { _if_result_55 = (str_to_int(refresh_ms_raw)); } _if_result_55; });
+    el_val_t last_refresh_str = state_get(EL_STR("soul.last_refresh_ts"));
+    el_val_t last_refresh_ts = ({ el_val_t _if_result_56 = 0; if (str_eq(last_refresh_str, EL_STR(""))) { _if_result_56 = (0); } else { _if_result_56 = (str_to_int(last_refresh_str)); } _if_result_56; });
+    el_val_t refresh_elapsed = (now_ts - last_refresh_ts);
+    el_val_t should_refresh = (refresh_elapsed >= refresh_ms);
+    if (should_refresh) {
+      el_val_t sync_env_url = env(EL_STR("SOUL_ISE_URL"));
+      el_val_t sync_state_url = ({ el_val_t _if_result_57 = 0; if (str_eq(sync_env_url, EL_STR(""))) { _if_result_57 = (state_get(EL_STR("soul_engram_url"))); } else { _if_result_57 = (sync_env_url); } _if_result_57; });
+      el_val_t engram_url = ({ el_val_t _if_result_58 = 0; if (str_eq(sync_state_url, EL_STR(""))) { _if_result_58 = (EL_STR("http://localhost:8742")); } else { _if_result_58 = (sync_state_url); } _if_result_58; });
+      if (!str_eq(engram_url, EL_STR(""))) {
+        el_val_t sync_json = http_get(el_str_concat(engram_url, EL_STR("/api/sync")));
+        el_val_t sync_ok = (!str_eq(sync_json, EL_STR("")) && !str_eq(sync_json, EL_STR("{}")));
+        if (!sync_ok) {
+          ise_post(el_str_concat(el_str_concat(EL_STR("{\"event\":\"sync_empty\",\"ts\":"), int_to_str(time_now())), EL_STR("}")));
+        }
+        if (sync_ok) {
+          el_val_t cgi_id = state_get(EL_STR("soul_cgi_id"));
+          el_val_t tmp = el_str_concat(el_str_concat(EL_STR("/tmp/soul-sync-"), cgi_id), EL_STR(".json"));
+          fs_write(tmp, sync_json);
+          el_val_t added = engram_load_merge(tmp);
+          el_val_t ret_raw = env(EL_STR("ENGRAM_ISE_RETENTION_MS"));
+          el_val_t ret_ms = ({ el_val_t _if_result_59 = 0; if (str_eq(ret_raw, EL_STR(""))) { _if_result_59 = (172800000); } else { _if_result_59 = (str_to_int(ret_raw)); } _if_result_59; });
+          el_val_t pruned_sync = engram_prune_telemetry(ret_ms);
+          el_val_t sat_raw = state_get(EL_STR("soul.sync_added_total"));
+          el_val_t sat_n = ({ el_val_t _if_result_60 = 0; if (str_eq(sat_raw, EL_STR(""))) { _if_result_60 = (0); } else { _if_result_60 = (str_to_int(sat_raw)); } _if_result_60; });
+          state_set(EL_STR("soul.sync_added_total"), int_to_str((sat_n + added)));
+          el_val_t ts2 = time_now();
+          state_set(EL_STR("soul.last_sync_ok_ts"), int_to_str(ts2));
+          ise_post(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"event\":\"engram_sync\",\"added\":"), int_to_str(added)), EL_STR(",\"pruned\":")), int_to_str(pruned_sync)), EL_STR(",\"ts\":")), int_to_str(ts2)), EL_STR("}")));
+        }
+      }
+      state_set(EL_STR("soul.last_refresh_ts"), int_to_str(now_ts));
+    }
     sleep_ms(tick_ms);
+    el_arena_pop(tick_mark);
   }
   return 0;
 }
@@ -507,78 +670,78 @@ el_val_t security_research_authorized(void) {
 }
 
 el_val_t threat_score_command(el_val_t cmd) {
-  el_val_t s1 = ({ el_val_t _if_result_8 = 0; if (str_contains(cmd, EL_STR("nmap"))) { _if_result_8 = (30); } else { _if_result_8 = (0); } _if_result_8; });
-  el_val_t s2 = ({ el_val_t _if_result_9 = 0; if (str_contains(cmd, EL_STR("masscan"))) { _if_result_9 = (40); } else { _if_result_9 = (0); } _if_result_9; });
-  el_val_t s3 = ({ el_val_t _if_result_10 = 0; if (str_contains(cmd, EL_STR(" nc "))) { _if_result_10 = (20); } else { _if_result_10 = (0); } _if_result_10; });
-  el_val_t s4 = ({ el_val_t _if_result_11 = 0; if (str_contains(cmd, EL_STR("netcat"))) { _if_result_11 = (20); } else { _if_result_11 = (0); } _if_result_11; });
-  el_val_t s5 = ({ el_val_t _if_result_12 = 0; if (str_contains(cmd, EL_STR("/etc/shadow"))) { _if_result_12 = (80); } else { _if_result_12 = (0); } _if_result_12; });
-  el_val_t s6 = ({ el_val_t _if_result_13 = 0; if (str_contains(cmd, EL_STR("/etc/passwd"))) { _if_result_13 = (30); } else { _if_result_13 = (0); } _if_result_13; });
-  el_val_t s7 = ({ el_val_t _if_result_14 = 0; if (str_contains(cmd, EL_STR("id_rsa"))) { _if_result_14 = (60); } else { _if_result_14 = (0); } _if_result_14; });
-  el_val_t s8 = ({ el_val_t _if_result_15 = 0; if (str_contains(cmd, EL_STR(".ssh/"))) { _if_result_15 = (50); } else { _if_result_15 = (0); } _if_result_15; });
-  el_val_t s9 = ({ el_val_t _if_result_16 = 0; if (str_contains(cmd, EL_STR("crontab"))) { _if_result_16 = (30); } else { _if_result_16 = (0); } _if_result_16; });
-  el_val_t s10 = ({ el_val_t _if_result_17 = 0; if (str_contains(cmd, EL_STR("LaunchDaemon"))) { _if_result_17 = (40); } else { _if_result_17 = (0); } _if_result_17; });
-  el_val_t s11 = ({ el_val_t _if_result_18 = 0; if ((str_contains(cmd, EL_STR("curl")) && str_contains(cmd, EL_STR("bash")))) { _if_result_18 = (75); } else { _if_result_18 = (0); } _if_result_18; });
-  el_val_t s12 = ({ el_val_t _if_result_19 = 0; if ((str_contains(cmd, EL_STR("wget")) && str_contains(cmd, EL_STR("bash")))) { _if_result_19 = (75); } else { _if_result_19 = (0); } _if_result_19; });
-  el_val_t s13 = ({ el_val_t _if_result_20 = 0; if ((str_contains(cmd, EL_STR("curl")) && str_contains(cmd, EL_STR("| sh")))) { _if_result_20 = (60); } else { _if_result_20 = (0); } _if_result_20; });
-  el_val_t s14 = ({ el_val_t _if_result_21 = 0; if ((str_contains(cmd, EL_STR("base64")) && str_contains(cmd, EL_STR("curl")))) { _if_result_21 = (50); } else { _if_result_21 = (0); } _if_result_21; });
-  el_val_t s15 = ({ el_val_t _if_result_22 = 0; if (str_contains(cmd, EL_STR("mkfifo"))) { _if_result_22 = (50); } else { _if_result_22 = (0); } _if_result_22; });
-  el_val_t s16 = ({ el_val_t _if_result_23 = 0; if (str_contains(cmd, EL_STR("chmod +s"))) { _if_result_23 = (70); } else { _if_result_23 = (0); } _if_result_23; });
-  el_val_t s17 = ({ el_val_t _if_result_24 = 0; if (str_contains(cmd, EL_STR("chmod 4755"))) { _if_result_24 = (70); } else { _if_result_24 = (0); } _if_result_24; });
+  el_val_t s1 = ({ el_val_t _if_result_61 = 0; if (str_contains(cmd, EL_STR("nmap"))) { _if_result_61 = (30); } else { _if_result_61 = (0); } _if_result_61; });
+  el_val_t s2 = ({ el_val_t _if_result_62 = 0; if (str_contains(cmd, EL_STR("masscan"))) { _if_result_62 = (40); } else { _if_result_62 = (0); } _if_result_62; });
+  el_val_t s3 = ({ el_val_t _if_result_63 = 0; if (str_contains(cmd, EL_STR(" nc "))) { _if_result_63 = (20); } else { _if_result_63 = (0); } _if_result_63; });
+  el_val_t s4 = ({ el_val_t _if_result_64 = 0; if (str_contains(cmd, EL_STR("netcat"))) { _if_result_64 = (20); } else { _if_result_64 = (0); } _if_result_64; });
+  el_val_t s5 = ({ el_val_t _if_result_65 = 0; if (str_contains(cmd, EL_STR("/etc/shadow"))) { _if_result_65 = (80); } else { _if_result_65 = (0); } _if_result_65; });
+  el_val_t s6 = ({ el_val_t _if_result_66 = 0; if (str_contains(cmd, EL_STR("/etc/passwd"))) { _if_result_66 = (30); } else { _if_result_66 = (0); } _if_result_66; });
+  el_val_t s7 = ({ el_val_t _if_result_67 = 0; if (str_contains(cmd, EL_STR("id_rsa"))) { _if_result_67 = (60); } else { _if_result_67 = (0); } _if_result_67; });
+  el_val_t s8 = ({ el_val_t _if_result_68 = 0; if (str_contains(cmd, EL_STR(".ssh/"))) { _if_result_68 = (50); } else { _if_result_68 = (0); } _if_result_68; });
+  el_val_t s9 = ({ el_val_t _if_result_69 = 0; if (str_contains(cmd, EL_STR("crontab"))) { _if_result_69 = (30); } else { _if_result_69 = (0); } _if_result_69; });
+  el_val_t s10 = ({ el_val_t _if_result_70 = 0; if (str_contains(cmd, EL_STR("LaunchDaemon"))) { _if_result_70 = (40); } else { _if_result_70 = (0); } _if_result_70; });
+  el_val_t s11 = ({ el_val_t _if_result_71 = 0; if ((str_contains(cmd, EL_STR("curl")) && str_contains(cmd, EL_STR("bash")))) { _if_result_71 = (75); } else { _if_result_71 = (0); } _if_result_71; });
+  el_val_t s12 = ({ el_val_t _if_result_72 = 0; if ((str_contains(cmd, EL_STR("wget")) && str_contains(cmd, EL_STR("bash")))) { _if_result_72 = (75); } else { _if_result_72 = (0); } _if_result_72; });
+  el_val_t s13 = ({ el_val_t _if_result_73 = 0; if ((str_contains(cmd, EL_STR("curl")) && str_contains(cmd, EL_STR("| sh")))) { _if_result_73 = (60); } else { _if_result_73 = (0); } _if_result_73; });
+  el_val_t s14 = ({ el_val_t _if_result_74 = 0; if ((str_contains(cmd, EL_STR("base64")) && str_contains(cmd, EL_STR("curl")))) { _if_result_74 = (50); } else { _if_result_74 = (0); } _if_result_74; });
+  el_val_t s15 = ({ el_val_t _if_result_75 = 0; if (str_contains(cmd, EL_STR("mkfifo"))) { _if_result_75 = (50); } else { _if_result_75 = (0); } _if_result_75; });
+  el_val_t s16 = ({ el_val_t _if_result_76 = 0; if (str_contains(cmd, EL_STR("chmod +s"))) { _if_result_76 = (70); } else { _if_result_76 = (0); } _if_result_76; });
+  el_val_t s17 = ({ el_val_t _if_result_77 = 0; if (str_contains(cmd, EL_STR("chmod 4755"))) { _if_result_77 = (70); } else { _if_result_77 = (0); } _if_result_77; });
   return ((((((((((((((((s1 + s2) + s3) + s4) + s5) + s6) + s7) + s8) + s9) + s10) + s11) + s12) + s13) + s14) + s15) + s16) + s17);
   return 0;
 }
 
 el_val_t threat_score_path(el_val_t path) {
-  el_val_t s1 = ({ el_val_t _if_result_25 = 0; if (str_starts_with(path, EL_STR("/etc/"))) { _if_result_25 = (60); } else { _if_result_25 = (0); } _if_result_25; });
-  el_val_t s2 = ({ el_val_t _if_result_26 = 0; if (str_contains(path, EL_STR("/.ssh/"))) { _if_result_26 = (70); } else { _if_result_26 = (0); } _if_result_26; });
-  el_val_t s3 = ({ el_val_t _if_result_27 = 0; if (str_contains(path, EL_STR("/LaunchDaemons/"))) { _if_result_27 = (80); } else { _if_result_27 = (0); } _if_result_27; });
-  el_val_t s4 = ({ el_val_t _if_result_28 = 0; if (str_contains(path, EL_STR("/LaunchAgents/"))) { _if_result_28 = (40); } else { _if_result_28 = (0); } _if_result_28; });
-  el_val_t s5 = ({ el_val_t _if_result_29 = 0; if (str_contains(path, EL_STR("/cron"))) { _if_result_29 = (60); } else { _if_result_29 = (0); } _if_result_29; });
-  el_val_t s6 = ({ el_val_t _if_result_30 = 0; if (str_contains(path, EL_STR("/.bashrc"))) { _if_result_30 = (35); } else { _if_result_30 = (0); } _if_result_30; });
-  el_val_t s7 = ({ el_val_t _if_result_31 = 0; if (str_contains(path, EL_STR("/.zshrc"))) { _if_result_31 = (35); } else { _if_result_31 = (0); } _if_result_31; });
-  el_val_t s8 = ({ el_val_t _if_result_32 = 0; if (str_contains(path, EL_STR("/.profile"))) { _if_result_32 = (35); } else { _if_result_32 = (0); } _if_result_32; });
-  el_val_t s9 = ({ el_val_t _if_result_33 = 0; if (str_starts_with(path, EL_STR("/usr/"))) { _if_result_33 = (50); } else { _if_result_33 = (0); } _if_result_33; });
-  el_val_t s10 = ({ el_val_t _if_result_34 = 0; if (str_starts_with(path, EL_STR("/bin/"))) { _if_result_34 = (70); } else { _if_result_34 = (0); } _if_result_34; });
-  el_val_t s11 = ({ el_val_t _if_result_35 = 0; if (str_starts_with(path, EL_STR("/sbin/"))) { _if_result_35 = (70); } else { _if_result_35 = (0); } _if_result_35; });
+  el_val_t s1 = ({ el_val_t _if_result_78 = 0; if (str_starts_with(path, EL_STR("/etc/"))) { _if_result_78 = (60); } else { _if_result_78 = (0); } _if_result_78; });
+  el_val_t s2 = ({ el_val_t _if_result_79 = 0; if (str_contains(path, EL_STR("/.ssh/"))) { _if_result_79 = (70); } else { _if_result_79 = (0); } _if_result_79; });
+  el_val_t s3 = ({ el_val_t _if_result_80 = 0; if (str_contains(path, EL_STR("/LaunchDaemons/"))) { _if_result_80 = (80); } else { _if_result_80 = (0); } _if_result_80; });
+  el_val_t s4 = ({ el_val_t _if_result_81 = 0; if (str_contains(path, EL_STR("/LaunchAgents/"))) { _if_result_81 = (40); } else { _if_result_81 = (0); } _if_result_81; });
+  el_val_t s5 = ({ el_val_t _if_result_82 = 0; if (str_contains(path, EL_STR("/cron"))) { _if_result_82 = (60); } else { _if_result_82 = (0); } _if_result_82; });
+  el_val_t s6 = ({ el_val_t _if_result_83 = 0; if (str_contains(path, EL_STR("/.bashrc"))) { _if_result_83 = (35); } else { _if_result_83 = (0); } _if_result_83; });
+  el_val_t s7 = ({ el_val_t _if_result_84 = 0; if (str_contains(path, EL_STR("/.zshrc"))) { _if_result_84 = (35); } else { _if_result_84 = (0); } _if_result_84; });
+  el_val_t s8 = ({ el_val_t _if_result_85 = 0; if (str_contains(path, EL_STR("/.profile"))) { _if_result_85 = (35); } else { _if_result_85 = (0); } _if_result_85; });
+  el_val_t s9 = ({ el_val_t _if_result_86 = 0; if (str_starts_with(path, EL_STR("/usr/"))) { _if_result_86 = (50); } else { _if_result_86 = (0); } _if_result_86; });
+  el_val_t s10 = ({ el_val_t _if_result_87 = 0; if (str_starts_with(path, EL_STR("/bin/"))) { _if_result_87 = (70); } else { _if_result_87 = (0); } _if_result_87; });
+  el_val_t s11 = ({ el_val_t _if_result_88 = 0; if (str_starts_with(path, EL_STR("/sbin/"))) { _if_result_88 = (70); } else { _if_result_88 = (0); } _if_result_88; });
   return ((((((((((s1 + s2) + s3) + s4) + s5) + s6) + s7) + s8) + s9) + s10) + s11);
   return 0;
 }
 
 el_val_t threat_score_history(el_val_t history) {
-  el_val_t s1 = ({ el_val_t _if_result_36 = 0; if (str_contains(history, EL_STR("port scan"))) { _if_result_36 = (15); } else { _if_result_36 = (0); } _if_result_36; });
-  el_val_t s2 = ({ el_val_t _if_result_37 = 0; if (str_contains(history, EL_STR("enumerate"))) { _if_result_37 = (10); } else { _if_result_37 = (0); } _if_result_37; });
-  el_val_t s3 = ({ el_val_t _if_result_38 = 0; if (str_contains(history, EL_STR("exploit"))) { _if_result_38 = (20); } else { _if_result_38 = (0); } _if_result_38; });
-  el_val_t s4 = ({ el_val_t _if_result_39 = 0; if (str_contains(history, EL_STR("payload"))) { _if_result_39 = (15); } else { _if_result_39 = (0); } _if_result_39; });
-  el_val_t s5 = ({ el_val_t _if_result_40 = 0; if (str_contains(history, EL_STR("persistence"))) { _if_result_40 = (15); } else { _if_result_40 = (0); } _if_result_40; });
-  el_val_t s6 = ({ el_val_t _if_result_41 = 0; if (str_contains(history, EL_STR("lateral movement"))) { _if_result_41 = (25); } else { _if_result_41 = (0); } _if_result_41; });
-  el_val_t s7 = ({ el_val_t _if_result_42 = 0; if (str_contains(history, EL_STR("privilege escalation"))) { _if_result_42 = (25); } else { _if_result_42 = (0); } _if_result_42; });
-  el_val_t s8 = ({ el_val_t _if_result_43 = 0; if (str_contains(history, EL_STR("reverse shell"))) { _if_result_43 = (40); } else { _if_result_43 = (0); } _if_result_43; });
-  el_val_t s9 = ({ el_val_t _if_result_44 = 0; if (str_contains(history, EL_STR("bind shell"))) { _if_result_44 = (40); } else { _if_result_44 = (0); } _if_result_44; });
-  el_val_t s10 = ({ el_val_t _if_result_45 = 0; if (str_contains(history, EL_STR("command and control"))) { _if_result_45 = (35); } else { _if_result_45 = (0); } _if_result_45; });
-  el_val_t s11 = ({ el_val_t _if_result_46 = 0; if (str_contains(history, EL_STR("self-replicate"))) { _if_result_46 = (45); } else { _if_result_46 = (0); } _if_result_46; });
-  el_val_t s12 = ({ el_val_t _if_result_47 = 0; if (str_contains(history, EL_STR("propagat"))) { _if_result_47 = (20); } else { _if_result_47 = (0); } _if_result_47; });
-  el_val_t s13 = ({ el_val_t _if_result_48 = 0; if (str_contains(history, EL_STR("ransomware"))) { _if_result_48 = (30); } else { _if_result_48 = (0); } _if_result_48; });
-  el_val_t s14 = ({ el_val_t _if_result_49 = 0; if (str_contains(history, EL_STR("encrypt files"))) { _if_result_49 = (40); } else { _if_result_49 = (0); } _if_result_49; });
-  el_val_t s15 = ({ el_val_t _if_result_50 = 0; if (str_contains(history, EL_STR("exfiltrat"))) { _if_result_50 = (35); } else { _if_result_50 = (0); } _if_result_50; });
-  el_val_t s16 = ({ el_val_t _if_result_51 = 0; if (str_contains(history, EL_STR("zero-day"))) { _if_result_51 = (20); } else { _if_result_51 = (0); } _if_result_51; });
-  el_val_t s17 = ({ el_val_t _if_result_52 = 0; if (str_contains(history, EL_STR("rootkit"))) { _if_result_52 = (45); } else { _if_result_52 = (0); } _if_result_52; });
-  el_val_t s18 = ({ el_val_t _if_result_53 = 0; if (str_contains(history, EL_STR("keylogger"))) { _if_result_53 = (45); } else { _if_result_53 = (0); } _if_result_53; });
-  el_val_t s19 = ({ el_val_t _if_result_54 = 0; if (str_contains(history, EL_STR("botnet"))) { _if_result_54 = (40); } else { _if_result_54 = (0); } _if_result_54; });
-  el_val_t s20 = ({ el_val_t _if_result_55 = 0; if (str_contains(history, EL_STR("malware"))) { _if_result_55 = (15); } else { _if_result_55 = (0); } _if_result_55; });
+  el_val_t s1 = ({ el_val_t _if_result_89 = 0; if (str_contains(history, EL_STR("port scan"))) { _if_result_89 = (15); } else { _if_result_89 = (0); } _if_result_89; });
+  el_val_t s2 = ({ el_val_t _if_result_90 = 0; if (str_contains(history, EL_STR("enumerate"))) { _if_result_90 = (10); } else { _if_result_90 = (0); } _if_result_90; });
+  el_val_t s3 = ({ el_val_t _if_result_91 = 0; if (str_contains(history, EL_STR("exploit"))) { _if_result_91 = (20); } else { _if_result_91 = (0); } _if_result_91; });
+  el_val_t s4 = ({ el_val_t _if_result_92 = 0; if (str_contains(history, EL_STR("payload"))) { _if_result_92 = (15); } else { _if_result_92 = (0); } _if_result_92; });
+  el_val_t s5 = ({ el_val_t _if_result_93 = 0; if (str_contains(history, EL_STR("persistence"))) { _if_result_93 = (15); } else { _if_result_93 = (0); } _if_result_93; });
+  el_val_t s6 = ({ el_val_t _if_result_94 = 0; if (str_contains(history, EL_STR("lateral movement"))) { _if_result_94 = (25); } else { _if_result_94 = (0); } _if_result_94; });
+  el_val_t s7 = ({ el_val_t _if_result_95 = 0; if (str_contains(history, EL_STR("privilege escalation"))) { _if_result_95 = (25); } else { _if_result_95 = (0); } _if_result_95; });
+  el_val_t s8 = ({ el_val_t _if_result_96 = 0; if (str_contains(history, EL_STR("reverse shell"))) { _if_result_96 = (40); } else { _if_result_96 = (0); } _if_result_96; });
+  el_val_t s9 = ({ el_val_t _if_result_97 = 0; if (str_contains(history, EL_STR("bind shell"))) { _if_result_97 = (40); } else { _if_result_97 = (0); } _if_result_97; });
+  el_val_t s10 = ({ el_val_t _if_result_98 = 0; if (str_contains(history, EL_STR("command and control"))) { _if_result_98 = (35); } else { _if_result_98 = (0); } _if_result_98; });
+  el_val_t s11 = ({ el_val_t _if_result_99 = 0; if (str_contains(history, EL_STR("self-replicate"))) { _if_result_99 = (45); } else { _if_result_99 = (0); } _if_result_99; });
+  el_val_t s12 = ({ el_val_t _if_result_100 = 0; if (str_contains(history, EL_STR("propagat"))) { _if_result_100 = (20); } else { _if_result_100 = (0); } _if_result_100; });
+  el_val_t s13 = ({ el_val_t _if_result_101 = 0; if (str_contains(history, EL_STR("ransomware"))) { _if_result_101 = (30); } else { _if_result_101 = (0); } _if_result_101; });
+  el_val_t s14 = ({ el_val_t _if_result_102 = 0; if (str_contains(history, EL_STR("encrypt files"))) { _if_result_102 = (40); } else { _if_result_102 = (0); } _if_result_102; });
+  el_val_t s15 = ({ el_val_t _if_result_103 = 0; if (str_contains(history, EL_STR("exfiltrat"))) { _if_result_103 = (35); } else { _if_result_103 = (0); } _if_result_103; });
+  el_val_t s16 = ({ el_val_t _if_result_104 = 0; if (str_contains(history, EL_STR("zero-day"))) { _if_result_104 = (20); } else { _if_result_104 = (0); } _if_result_104; });
+  el_val_t s17 = ({ el_val_t _if_result_105 = 0; if (str_contains(history, EL_STR("rootkit"))) { _if_result_105 = (45); } else { _if_result_105 = (0); } _if_result_105; });
+  el_val_t s18 = ({ el_val_t _if_result_106 = 0; if (str_contains(history, EL_STR("keylogger"))) { _if_result_106 = (45); } else { _if_result_106 = (0); } _if_result_106; });
+  el_val_t s19 = ({ el_val_t _if_result_107 = 0; if (str_contains(history, EL_STR("botnet"))) { _if_result_107 = (40); } else { _if_result_107 = (0); } _if_result_107; });
+  el_val_t s20 = ({ el_val_t _if_result_108 = 0; if (str_contains(history, EL_STR("malware"))) { _if_result_108 = (15); } else { _if_result_108 = (0); } _if_result_108; });
   return (((((((((((((((((((s1 + s2) + s3) + s4) + s5) + s6) + s7) + s8) + s9) + s10) + s11) + s12) + s13) + s14) + s15) + s16) + s17) + s18) + s19) + s20);
   return 0;
 }
 
 el_val_t threat_trajectory_check(el_val_t tool_name, el_val_t tool_input) {
   el_val_t history = state_get(EL_STR("agentic_conv_history"));
-  el_val_t computed_tool_score = ({ el_val_t _if_result_56 = 0; if (str_eq(tool_name, EL_STR("run_command"))) { el_val_t cmd = json_get(tool_input, EL_STR("command")); _if_result_56 = (threat_score_command(cmd)); } else { _if_result_56 = (({ el_val_t _if_result_57 = 0; if ((str_eq(tool_name, EL_STR("write_file")) || str_eq(tool_name, EL_STR("edit_file")))) { el_val_t path = json_get(tool_input, EL_STR("path")); _if_result_57 = (threat_score_path(path)); } else { _if_result_57 = (0); } _if_result_57; })); } _if_result_56; });
+  el_val_t computed_tool_score = ({ el_val_t _if_result_109 = 0; if (str_eq(tool_name, EL_STR("run_command"))) { el_val_t cmd = json_get(tool_input, EL_STR("command")); _if_result_109 = (threat_score_command(cmd)); } else { _if_result_109 = (({ el_val_t _if_result_110 = 0; if ((str_eq(tool_name, EL_STR("write_file")) || str_eq(tool_name, EL_STR("edit_file")))) { el_val_t path = json_get(tool_input, EL_STR("path")); _if_result_110 = (threat_score_path(path)); } else { _if_result_110 = (0); } _if_result_110; })); } _if_result_109; });
   el_val_t history_score = threat_score_history(history);
   el_val_t history_contrib = (history_score / 3);
   el_val_t combined = (computed_tool_score + history_contrib);
   el_val_t should_log = (combined >= 40);
   if (should_log) {
     el_val_t ts = time_now();
-    el_val_t authorized_str = ({ el_val_t _if_result_58 = 0; if (security_research_authorized()) { _if_result_58 = (EL_STR("true")); } else { _if_result_58 = (EL_STR("false")); } _if_result_58; });
+    el_val_t authorized_str = ({ el_val_t _if_result_111 = 0; if (security_research_authorized()) { _if_result_111 = (EL_STR("true")); } else { _if_result_111 = (EL_STR("false")); } _if_result_111; });
     el_val_t log_content = el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"event\":\"threat_check\",\"tool\":\""), tool_name), EL_STR("\",\"score\":")), int_to_str(combined)), EL_STR(",\"tool_score\":")), int_to_str(computed_tool_score)), EL_STR(",\"history_score\":")), int_to_str(history_score)), EL_STR(",\"authorized\":")), authorized_str), EL_STR(",\"ts\":")), int_to_str(ts)), EL_STR("}"));
     el_val_t log_tags = EL_STR("[\"security-audit\",\"threat-check\"]");
     el_val_t discard = mem_remember(log_content, log_tags);
@@ -595,13 +758,8 @@ el_val_t threat_history_append(el_val_t text) {
   el_val_t safe_text = str_to_lower(text);
   el_val_t combined = el_str_concat(el_str_concat(current, EL_STR(" ")), safe_text);
   el_val_t len = str_len(combined);
-  el_val_t trimmed = ({ el_val_t _if_result_59 = 0; if ((len > 2000)) { _if_result_59 = (str_slice(combined, (len - 2000), len)); } else { _if_result_59 = (combined); } _if_result_59; });
+  el_val_t trimmed = ({ el_val_t _if_result_112 = 0; if ((len > 2000)) { _if_result_112 = (str_slice(combined, (len - 2000), len)); } else { _if_result_112 = (combined); } _if_result_112; });
   state_set(EL_STR("agentic_conv_history"), trimmed);
   return 0;
 }
 
-int main(int _argc, char** _argv) {
-  el_runtime_init_args(_argc, _argv);
-  return 0;
-}
-

dist/awareness.elh

@@ -1,10 +0,0 @@
-// auto-generated by elc --emit-header — do not edit
-extern fn pulse_count() -> Int
-extern fn pulse_inc() -> Int
-extern fn make_action(kind: String, payload: String) -> String
-extern fn perceive() -> String
-extern fn attend(node_json: String) -> String
-extern fn respond(action_json: String) -> String
-extern fn record(outcome_json: String) -> Void
-extern fn one_cycle() -> Bool
-extern fn awareness_run() -> Void

dist/chat.elh

@@ -1,22 +0,0 @@
-// auto-generated by elc --emit-header — do not edit
-extern fn chat_default_model() -> String
-extern fn engram_compile(intent: String) -> String
-extern fn json_safe(s: String) -> String
-extern fn build_system_prompt(ctx: String) -> String
-extern fn hist_append(hist: String, role: String, content: String) -> String
-extern fn hist_trim(hist: String) -> String
-extern fn clean_llm_response(s: String) -> String
-extern fn conv_history_persist(hist: String) -> Void
-extern fn conv_history_load() -> String
-extern fn handle_chat(body: String) -> String
-extern fn handle_see(body: String) -> String
-extern fn studio_tools_json() -> String
-extern fn agentic_api_key() -> String
-extern fn agentic_tools_literal() -> String
-extern fn dispatch_tool(tool_name: String, tool_input: String) -> String
-extern fn handle_chat_agentic(body: String) -> String
-extern fn handle_chat_as_soul(body: String) -> String
-extern fn handle_dharma_room_turn(body: String) -> String
-extern fn handle_dharma_room_turn_agentic(body: String) -> String
-extern fn auto_persist(req: String, resp: String) -> Void
-extern fn strengthen_chat_nodes(activation_nodes: String) -> Void

dist/elp-all-decls.h

@@ -0,0 +1,45 @@
+/* Auto-generated: ELP package master declarations */
+#include "awareness.elh"
+#include "chat.elh"
+#include "elp-input.elh"
+#include "elp.elh"
+#include "grammar.elh"
+#include "language-profile.elh"
+#include "memory.elh"
+#include "morphology-akk.elh"
+#include "morphology-ang.elh"
+#include "morphology-ar.elh"
+#include "morphology-cop.elh"
+#include "morphology-de.elh"
+#include "morphology-egy.elh"
+#include "morphology-enm.elh"
+#include "morphology-es.elh"
+#include "morphology-fi.elh"
+#include "morphology-fr.elh"
+#include "morphology-fro.elh"
+#include "morphology-gez.elh"
+#include "morphology-goh.elh"
+#include "morphology-got.elh"
+#include "morphology-grc.elh"
+#include "morphology-he.elh"
+#include "morphology-hi.elh"
+#include "morphology-ja.elh"
+#include "morphology-la.elh"
+#include "morphology-non.elh"
+#include "morphology-peo.elh"
+#include "morphology-pi.elh"
+#include "morphology-ru.elh"
+#include "morphology-sa.elh"
+#include "morphology-sga.elh"
+#include "morphology-sux.elh"
+#include "morphology-sw.elh"
+#include "morphology-txb.elh"
+#include "morphology-uga.elh"
+#include "morphology.elh"
+#include "neuron-api.elh"
+#include "realizer.elh"
+#include "routes.elh"
+#include "semantics.elh"
+#include "soul.elh"
+#include "studio.elh"
+#include "vocabulary.elh"

dist/elp-c-decls.h

@@ -2,18 +2,35 @@
 #include "el_runtime.h"
 
 el_val_t add_punct(el_val_t s, el_val_t intent);
+el_val_t add_to_seen(el_val_t seen, el_val_t node_id);
+el_val_t aff_try_slot(el_val_t slot_json, el_val_t aff_7d_ts, el_val_t acc_key);
+el_val_t affective_context_prefix(void);
+el_val_t is_utility_request(el_val_t body, el_val_t session_id);
+el_val_t operator_identity_block(void);
+el_val_t provenance_add_sources(el_val_t block, el_val_t btype, el_val_t has_cit, el_val_t cit_raw, el_val_t acc);
+el_val_t provenance_names(el_val_t tools_used);
+el_val_t provenance_scan_urls(el_val_t arr, el_val_t acc);
+el_val_t text_join_sep(el_val_t accumulated, el_val_t incoming, el_val_t after_interruption);
+el_val_t receipt_rule(void);
+el_val_t receipt_strip(el_val_t s);
+el_val_t tool_receipt(el_val_t tools_used, el_val_t sources);
 el_val_t agent_number(el_val_t agent);
 el_val_t agent_person(el_val_t agent);
+el_val_t agent_workspace_root(void);
 el_val_t agentic_api_key(void);
+el_val_t agentic_loop(el_val_t session_id, el_val_t model, el_val_t safe_sys, el_val_t tools_json, el_val_t messages_in, el_val_t h, el_val_t tools_log_in);
+el_val_t agentic_resume(el_val_t session_id, el_val_t tool_use_id, el_val_t content);
+el_val_t agentic_tools_all(void);
 el_val_t agentic_tools_literal(void);
+el_val_t agentic_tools_with_web(void);
 el_val_t agree_determiner(el_val_t det, el_val_t noun);
 el_val_t akk_alaku_perfect(el_val_t slot);
 el_val_t akk_alaku_present(el_val_t slot);
 el_val_t akk_amaru_perfect(el_val_t slot);
 el_val_t akk_amaru_present(el_val_t slot);
 el_val_t akk_amaru_stative(el_val_t slot);
-el_val_t akk_conjugate(el_val_t verb, el_val_t tense, el_val_t person, el_val_t number);
 el_val_t akk_conjugate_copula(el_val_t tense, el_val_t slot);
+el_val_t akk_conjugate(el_val_t verb, el_val_t tense, el_val_t person, el_val_t number);
 el_val_t akk_copula_present(el_val_t slot);
 el_val_t akk_copula_stative(el_val_t slot);
 el_val_t akk_decline(el_val_t noun, el_val_t gram_case, el_val_t number);
@@ -31,25 +48,25 @@ el_val_t akk_qabu_stative(el_val_t slot);
 el_val_t akk_regular_perfect(el_val_t stem, el_val_t slot);
 el_val_t akk_regular_present(el_val_t stem, el_val_t slot);
 el_val_t akk_regular_stative(el_val_t stem, el_val_t slot);
-el_val_t akk_slot(el_val_t person, el_val_t number);
 el_val_t akk_slot_g(el_val_t person, el_val_t gender, el_val_t number);
+el_val_t akk_slot(el_val_t person, el_val_t number);
 el_val_t akk_str_drop_last(el_val_t s, el_val_t n);
 el_val_t akk_str_ends(el_val_t s, el_val_t suf);
 el_val_t akk_str_len(el_val_t s);
 el_val_t akk_strip_nom(el_val_t noun);
-el_val_t ang_article(el_val_t gender, el_val_t gram_case, el_val_t number);
 el_val_t ang_article_feminine(el_val_t gram_case, el_val_t number);
 el_val_t ang_article_masculine(el_val_t gram_case, el_val_t number);
 el_val_t ang_article_neuter(el_val_t gram_case, el_val_t number);
+el_val_t ang_article(el_val_t gender, el_val_t gram_case, el_val_t number);
 el_val_t ang_beon_present(el_val_t slot);
 el_val_t ang_conjugate(el_val_t verb, el_val_t tense, el_val_t person, el_val_t number);
 el_val_t ang_cuman_past(el_val_t slot);
 el_val_t ang_cuman_present(el_val_t slot);
 el_val_t ang_declension(el_val_t noun, el_val_t gender);
-el_val_t ang_decline(el_val_t noun, el_val_t gram_case, el_val_t number, el_val_t gender);
 el_val_t ang_decline_strong_masc(el_val_t noun, el_val_t gram_case, el_val_t number);
 el_val_t ang_decline_strong_neut(el_val_t noun, el_val_t gram_case, el_val_t number);
 el_val_t ang_decline_weak(el_val_t noun, el_val_t gram_case, el_val_t number);
+el_val_t ang_decline(el_val_t noun, el_val_t gram_case, el_val_t number, el_val_t gender);
 el_val_t ang_don_past(el_val_t slot);
 el_val_t ang_don_present(el_val_t slot);
 el_val_t ang_gan_past(el_val_t slot);
@@ -68,10 +85,10 @@ el_val_t ang_seon_present(el_val_t slot);
 el_val_t ang_slot(el_val_t person, el_val_t number);
 el_val_t ang_str_drop_last(el_val_t s, el_val_t n);
 el_val_t ang_str_ends(el_val_t s, el_val_t suf);
-el_val_t ang_str_last2(el_val_t s);
 el_val_t ang_str_last_char(el_val_t s);
-el_val_t ang_weak_past(el_val_t stem, el_val_t slot);
+el_val_t ang_str_last2(el_val_t s);
 el_val_t ang_weak_past_stem(el_val_t stem);
+el_val_t ang_weak_past(el_val_t stem, el_val_t slot);
 el_val_t ang_weak_present_ending(el_val_t slot);
 el_val_t ang_weak_stem(el_val_t verb);
 el_val_t ang_wesan_past(el_val_t slot);
@@ -80,28 +97,30 @@ el_val_t ang_willan_past(el_val_t slot);
 el_val_t ang_willan_present(el_val_t slot);
 el_val_t ang_witan_past(el_val_t slot);
 el_val_t ang_witan_present(el_val_t slot);
-el_val_t api_err(el_val_t msg);
 el_val_t api_err_protected(el_val_t id);
+el_val_t api_err(el_val_t msg);
 el_val_t api_json_escape(el_val_t s);
 el_val_t api_nonempty(el_val_t s);
+el_val_t api_not_persisted(el_val_t id);
 el_val_t api_ok(el_val_t extra);
 el_val_t api_or_empty(el_val_t s);
+el_val_t api_persisted(el_val_t id);
 el_val_t api_query_int(el_val_t path, el_val_t key, el_val_t default_val);
 el_val_t api_query_param(el_val_t path, el_val_t key);
 el_val_t ar_case_ending(el_val_t kase, el_val_t definite);
-el_val_t ar_conjugate(el_val_t verb, el_val_t tense, el_val_t person, el_val_t gender, el_val_t number);
 el_val_t ar_conjugate_form1(el_val_t past_base, el_val_t present_stem, el_val_t tense, el_val_t slot);
+el_val_t ar_conjugate(el_val_t verb, el_val_t tense, el_val_t person, el_val_t gender, el_val_t number);
 el_val_t ar_definite_article(el_val_t noun);
 el_val_t ar_gender(el_val_t noun);
 el_val_t ar_imperfect_prefix(el_val_t slot);
 el_val_t ar_imperfect_suffix(el_val_t slot);
-el_val_t ar_irregular(el_val_t verb, el_val_t tense, el_val_t slot);
 el_val_t ar_irregular_araada(el_val_t slot, el_val_t tense);
 el_val_t ar_irregular_istata(el_val_t slot, el_val_t tense);
 el_val_t ar_irregular_jaa(el_val_t slot, el_val_t tense);
 el_val_t ar_irregular_kaana(el_val_t slot, el_val_t tense);
 el_val_t ar_irregular_qaala(el_val_t slot, el_val_t tense);
 el_val_t ar_irregular_raaa(el_val_t slot, el_val_t tense);
+el_val_t ar_irregular(el_val_t verb, el_val_t tense, el_val_t slot);
 el_val_t ar_is_sun_letter(el_val_t c);
 el_val_t ar_masc_pl_ending(el_val_t kase);
 el_val_t ar_noun_form(el_val_t noun, el_val_t gender, el_val_t kase, el_val_t number, el_val_t definite);
@@ -117,24 +136,36 @@ el_val_t ar_verb_form(el_val_t verb, el_val_t tense, el_val_t person, el_val_t n
 el_val_t attend(el_val_t node_json);
 el_val_t auth_headers(el_val_t tok);
 el_val_t auto_persist(el_val_t req, el_val_t resp);
+el_val_t auto_term_try_slot(el_val_t slot_type, el_val_t slot_lbl);
 el_val_t awareness_run(void);
 el_val_t axon_get(el_val_t path);
 el_val_t axon_post(el_val_t path, el_val_t body);
+el_val_t bounded_persona_floor(void);
+el_val_t bridge_save(el_val_t session_id, el_val_t model, el_val_t safe_sys, el_val_t tools_json, el_val_t messages, el_val_t tools_log, el_val_t tool_use_id, el_val_t wire);
 el_val_t build_form_from_json(el_val_t semantic_form_json, el_val_t lang_code);
-el_val_t build_identity_from_graph(void);
 el_val_t build_np(el_val_t referent, el_val_t slots);
 el_val_t build_pp(el_val_t loc);
 el_val_t build_rules(void);
-el_val_t build_system_prompt(el_val_t ctx);
+el_val_t build_system_prompt(el_val_t ctx, el_val_t chat_mode);
 el_val_t build_vocab(void);
 el_val_t build_vp_body(el_val_t slots);
 el_val_t build_vp_from_slots(el_val_t slots);
-el_val_t call_neuron_mcp(el_val_t tool_name, el_val_t args_json);
+el_val_t call_mcp_bridge(el_val_t tool_name, el_val_t tool_input);
+el_val_t call_neuron_mcp(el_val_t tool_name, el_val_t args);
 el_val_t capitalize_first(el_val_t s);
 el_val_t chat_default_model(void);
+el_val_t classify_tool_risk(el_val_t tool_name, el_val_t tool_input);
 el_val_t clean_llm_response(el_val_t s);
-el_val_t conv_history_load(void);
-el_val_t conv_history_persist(el_val_t hist);
+el_val_t cmd_abs_escape_at(el_val_t cmd, el_val_t root, el_val_t needle);
+el_val_t connectd_get(el_val_t suffix);
+el_val_t connectd_post(el_val_t suffix, el_val_t body);
+el_val_t connector_tools_json(void);
+el_val_t conv_hist_key(el_val_t session_id);
+el_val_t conv_hist_label(el_val_t session_id);
+el_val_t conv_history_block(el_val_t session_id);
+el_val_t conv_history_load(el_val_t session_id);
+el_val_t conv_history_persist(el_val_t session_id, el_val_t hist);
+el_val_t conv_history_record(el_val_t session_id, el_val_t user_msg, el_val_t assistant_msg, el_val_t receipt);
 el_val_t cop_article(el_val_t gender, el_val_t number, el_val_t definite);
 el_val_t cop_bwk_future(el_val_t prefix);
 el_val_t cop_bwk_perfect(el_val_t prefix);
@@ -156,8 +187,8 @@ el_val_t cop_map_canonical(el_val_t verb);
 el_val_t cop_nau_future(el_val_t prefix);
 el_val_t cop_nau_perfect(el_val_t prefix);
 el_val_t cop_nau_present(el_val_t prefix);
-el_val_t cop_noun_phrase(el_val_t noun, el_val_t gram_case, el_val_t number, el_val_t definite);
 el_val_t cop_noun_phrase_gendered(el_val_t noun, el_val_t gram_case, el_val_t number, el_val_t definite, el_val_t gender);
+el_val_t cop_noun_phrase(el_val_t noun, el_val_t gram_case, el_val_t number, el_val_t definite);
 el_val_t cop_regular_future(el_val_t prefix, el_val_t stem);
 el_val_t cop_regular_perfect(el_val_t prefix, el_val_t stem);
 el_val_t cop_regular_present(el_val_t prefix, el_val_t stem);
@@ -167,15 +198,16 @@ el_val_t cop_shwpe_present(el_val_t prefix);
 el_val_t cop_slot(el_val_t person, el_val_t number);
 el_val_t cop_str_ends(el_val_t s, el_val_t suf);
 el_val_t cop_str_len(el_val_t s);
-el_val_t cop_subject_prefix(el_val_t person, el_val_t number);
 el_val_t cop_subject_prefix_gendered(el_val_t person, el_val_t gender, el_val_t number);
+el_val_t cop_subject_prefix(el_val_t person, el_val_t number);
+el_val_t current_engine_note(el_val_t model);
 el_val_t de_adj_ending(el_val_t gender, el_val_t gram_case, el_val_t number, el_val_t article_type);
-el_val_t de_article(el_val_t gender, el_val_t gram_case, el_val_t number, el_val_t definite);
 el_val_t de_article_def(el_val_t gender, el_val_t gram_case, el_val_t number);
 el_val_t de_article_indef(el_val_t gender, el_val_t gram_case, el_val_t number);
+el_val_t de_article(el_val_t gender, el_val_t gram_case, el_val_t number, el_val_t definite);
 el_val_t de_case_ending(el_val_t noun, el_val_t gender, el_val_t gram_case, el_val_t number);
-el_val_t de_conjugate(el_val_t verb, el_val_t tense, el_val_t person, el_val_t number);
 el_val_t de_conjugate_weak(el_val_t stem, el_val_t tense, el_val_t person, el_val_t number);
+el_val_t de_conjugate(el_val_t verb, el_val_t tense, el_val_t person, el_val_t number);
 el_val_t de_irregular_present(el_val_t verb, el_val_t person, el_val_t number);
 el_val_t de_norm_number(el_val_t number);
 el_val_t de_norm_person(el_val_t person);
@@ -184,15 +216,13 @@ el_val_t de_strong_past_stem(el_val_t verb);
 el_val_t dharma_network_state(void);
 el_val_t dharma_registry(void);
 el_val_t dispatch_tool(el_val_t tool_name, el_val_t tool_input);
+el_val_t distill_transcript(el_val_t transcript);
+el_val_t egy_conjugate_copula(el_val_t tense, el_val_t slot);
+el_val_t egy_conjugate_pronoun(el_val_t person, el_val_t number);
+el_val_t egy_conjugate(el_val_t verb, el_val_t tense, el_val_t person, el_val_t number);
 el_val_t egy_Dd_future(el_val_t slot);
 el_val_t egy_Dd_past(el_val_t slot);
 el_val_t egy_Dd_present(el_val_t slot);
-el_val_t egy_Sm_future(el_val_t slot);
-el_val_t egy_Sm_past(el_val_t slot);
-el_val_t egy_Sm_present(el_val_t slot);
-el_val_t egy_conjugate(el_val_t verb, el_val_t tense, el_val_t person, el_val_t number);
-el_val_t egy_conjugate_copula(el_val_t tense, el_val_t slot);
-el_val_t egy_conjugate_pronoun(el_val_t person, el_val_t number);
 el_val_t egy_decline(el_val_t noun, el_val_t gram_case, el_val_t number);
 el_val_t egy_drop(el_val_t s, el_val_t n);
 el_val_t egy_fem(el_val_t noun);
@@ -216,8 +246,11 @@ el_val_t egy_regular_present(el_val_t stem, el_val_t slot);
 el_val_t egy_sdm_future(el_val_t slot);
 el_val_t egy_sdm_past(el_val_t slot);
 el_val_t egy_sdm_present(el_val_t slot);
-el_val_t egy_slot(el_val_t person, el_val_t number);
 el_val_t egy_slot_with_gender(el_val_t person, el_val_t gender, el_val_t number);
+el_val_t egy_slot(el_val_t person, el_val_t number);
+el_val_t egy_Sm_future(el_val_t slot);
+el_val_t egy_Sm_past(el_val_t slot);
+el_val_t egy_Sm_present(el_val_t slot);
 el_val_t egy_str_ends(el_val_t s, el_val_t suf);
 el_val_t egy_str_len(el_val_t s);
 el_val_t egy_suffix_pronoun(el_val_t slot);
@@ -238,7 +271,20 @@ el_val_t en_verb_3sg(el_val_t base);
 el_val_t en_verb_form(el_val_t base, el_val_t tense, el_val_t person, el_val_t number);
 el_val_t en_verb_gerund(el_val_t base);
 el_val_t en_verb_past(el_val_t base);
+el_val_t engram_compile_multi(el_val_t topic);
+el_val_t engram_compile_ranked(el_val_t nodes_json, el_val_t max_nodes);
 el_val_t engram_compile(el_val_t intent);
+el_val_t engram_dedup_nodes(el_val_t nodes_json);
+el_val_t engram_detect_recall_intent(el_val_t message);
+el_val_t engram_extract_entities(el_val_t message);
+el_val_t engram_extract_ids(el_val_t nodes_json);
+el_val_t engram_is_continuation(el_val_t message, el_val_t hist_len);
+el_val_t engram_nodes_merge(el_val_t a, el_val_t b);
+el_val_t engram_numeric_valid(el_val_t s);
+el_val_t engram_render_node(el_val_t node_json);
+el_val_t engram_render_nodes(el_val_t nodes_json);
+el_val_t engram_score_node(el_val_t node_json);
+el_val_t engram_split_topics(el_val_t message);
 el_val_t enm_been_past(el_val_t slot);
 el_val_t enm_been_present(el_val_t slot);
 el_val_t enm_comen_past(el_val_t slot);
@@ -268,6 +314,7 @@ el_val_t enm_str_ends(el_val_t s, el_val_t suf);
 el_val_t enm_weak_past(el_val_t stem, el_val_t slot);
 el_val_t enm_weak_present(el_val_t stem, el_val_t slot);
 el_val_t enm_weak_stem(el_val_t verb);
+el_val_t ensure_self_canonical_bridge(void);
 el_val_t entry_form(el_val_t entry, el_val_t n);
 el_val_t entry_found(el_val_t entry);
 el_val_t entry_pos(el_val_t entry);
@@ -292,10 +339,11 @@ el_val_t es_starts_with_stressed_a(el_val_t noun);
 el_val_t es_stem(el_val_t base);
 el_val_t es_str_drop_last(el_val_t s, el_val_t n);
 el_val_t es_str_ends(el_val_t s, el_val_t suf);
+el_val_t es_str_last_char(el_val_t s);
 el_val_t es_str_last2(el_val_t s);
 el_val_t es_str_last3(el_val_t s);
-el_val_t es_str_last_char(el_val_t s);
 el_val_t es_verb_class(el_val_t base);
+el_val_t extract_dim(el_val_t content, el_val_t key);
 el_val_t fi_apply_case(el_val_t noun, el_val_t gram_case, el_val_t number);
 el_val_t fi_conjugate(el_val_t verb, el_val_t tense, el_val_t person, el_val_t number);
 el_val_t fi_full_paradigm(el_val_t noun);
@@ -313,6 +361,7 @@ el_val_t fi_str_last_char(el_val_t s);
 el_val_t fi_suffix(el_val_t base, el_val_t harmony);
 el_val_t fi_verb_stem(el_val_t dict_form);
 el_val_t find_rule(el_val_t rule_id_str);
+el_val_t flag_true(el_val_t body, el_val_t key);
 el_val_t fr_agree_article(el_val_t noun, el_val_t definite, el_val_t number);
 el_val_t fr_avoir_present(el_val_t slot);
 el_val_t fr_conjugate(el_val_t verb, el_val_t tense, el_val_t person, el_val_t number);
@@ -335,8 +384,8 @@ el_val_t fr_slot(el_val_t person, el_val_t number);
 el_val_t fr_stem(el_val_t base);
 el_val_t fr_str_drop_last(el_val_t s, el_val_t n);
 el_val_t fr_str_ends(el_val_t s, el_val_t suf);
-el_val_t fr_str_last2(el_val_t s);
 el_val_t fr_str_last_char(el_val_t s);
+el_val_t fr_str_last2(el_val_t s);
 el_val_t fr_subject_starts_vowel(el_val_t subject);
 el_val_t fr_uses_etre(el_val_t verb);
 el_val_t fr_verb_ends_vowel(el_val_t verb_form);
@@ -358,9 +407,9 @@ el_val_t fro_conj3_future(el_val_t verb, el_val_t slot);
 el_val_t fro_conj3_past(el_val_t stem, el_val_t slot);
 el_val_t fro_conj3_present(el_val_t stem, el_val_t slot);
 el_val_t fro_conjugate(el_val_t verb, el_val_t tense, el_val_t person, el_val_t number);
-el_val_t fro_decline(el_val_t noun, el_val_t gram_case, el_val_t number);
 el_val_t fro_decline_fem(el_val_t noun, el_val_t number);
 el_val_t fro_decline_masc(el_val_t noun, el_val_t gram_case, el_val_t number);
+el_val_t fro_decline(el_val_t noun, el_val_t gram_case, el_val_t number);
 el_val_t fro_drop(el_val_t s, el_val_t n);
 el_val_t fro_estre_future(el_val_t slot);
 el_val_t fro_estre_past(el_val_t slot);
@@ -378,16 +427,15 @@ el_val_t fro_venir_past(el_val_t slot);
 el_val_t fro_venir_present(el_val_t slot);
 el_val_t fro_verb_class(el_val_t verb);
 el_val_t fro_verb_stem(el_val_t verb, el_val_t vclass);
-el_val_t gemini_api_key(void);
-el_val_t generate(el_val_t semantic_form_json);
-el_val_t generate_frame(el_val_t frame);
 el_val_t generate_frame_lang(el_val_t frame, el_val_t lang_code);
+el_val_t generate_frame(el_val_t frame);
 el_val_t generate_lang(el_val_t semantic_form_json, el_val_t lang_code);
 el_val_t generate_tree(el_val_t rule_id_str, el_val_t slots);
+el_val_t generate(el_val_t semantic_form_json);
 el_val_t get_rules(void);
 el_val_t get_vocab(void);
-el_val_t gez_conjugate(el_val_t verb, el_val_t tense, el_val_t person, el_val_t number);
 el_val_t gez_conjugate_copula(el_val_t tense, el_val_t slot);
+el_val_t gez_conjugate(el_val_t verb, el_val_t tense, el_val_t person, el_val_t number);
 el_val_t gez_decline(el_val_t noun, el_val_t gram_case, el_val_t number);
 el_val_t gez_generic_imperfect(el_val_t base3sg, el_val_t slot);
 el_val_t gez_generic_perfect(el_val_t base3sg, el_val_t slot);
@@ -406,13 +454,12 @@ el_val_t gez_qwl_imperfect(el_val_t slot);
 el_val_t gez_qwl_perfect(el_val_t slot);
 el_val_t gez_ray_imperfect(el_val_t slot);
 el_val_t gez_ray_perfect(el_val_t slot);
-el_val_t gez_slot(el_val_t person, el_val_t number);
 el_val_t gez_slot_g(el_val_t person, el_val_t gender, el_val_t number);
+el_val_t gez_slot(el_val_t person, el_val_t number);
 el_val_t gez_str_drop_last(el_val_t s, el_val_t n);
 el_val_t gez_str_ends(el_val_t s, el_val_t suf);
 el_val_t gez_str_len(el_val_t s);
 el_val_t goh_conjugate(el_val_t verb, el_val_t tense, el_val_t person, el_val_t number);
-el_val_t goh_decline(el_val_t noun, el_val_t gram_case, el_val_t number);
 el_val_t goh_decline_fem_o_pl(el_val_t stem, el_val_t gram_case);
 el_val_t goh_decline_fem_o_sg(el_val_t stem, el_val_t gram_case);
 el_val_t goh_decline_masc_a_pl(el_val_t stem, el_val_t gram_case);
@@ -421,6 +468,7 @@ el_val_t goh_decline_masc_n_pl(el_val_t stem, el_val_t gram_case);
 el_val_t goh_decline_masc_n_sg(el_val_t stem, el_val_t gram_case);
 el_val_t goh_decline_neut_a_pl(el_val_t stem, el_val_t gram_case);
 el_val_t goh_decline_neut_a_sg(el_val_t stem, el_val_t gram_case);
+el_val_t goh_decline(el_val_t noun, el_val_t gram_case, el_val_t number);
 el_val_t goh_demo_article(el_val_t stype, el_val_t number);
 el_val_t goh_drop(el_val_t s, el_val_t n);
 el_val_t goh_extract_stem(el_val_t noun, el_val_t stype);
@@ -445,13 +493,13 @@ el_val_t goh_weak_present(el_val_t stem, el_val_t slot);
 el_val_t goh_wesan_past(el_val_t slot);
 el_val_t goh_wesan_present(el_val_t slot);
 el_val_t got_conjugate(el_val_t verb, el_val_t tense, el_val_t person, el_val_t number);
-el_val_t got_decline(el_val_t noun, el_val_t gram_case, el_val_t number);
 el_val_t got_decline_a_stem_pl(el_val_t stem, el_val_t gram_case);
 el_val_t got_decline_a_stem_sg(el_val_t stem, el_val_t gram_case);
 el_val_t got_decline_n_stem_pl(el_val_t stem, el_val_t gram_case);
 el_val_t got_decline_n_stem_sg(el_val_t stem, el_val_t gram_case);
 el_val_t got_decline_o_stem_pl(el_val_t stem, el_val_t gram_case);
 el_val_t got_decline_o_stem_sg(el_val_t stem, el_val_t gram_case);
+el_val_t got_decline(el_val_t noun, el_val_t gram_case, el_val_t number);
 el_val_t got_demo_article(el_val_t stype);
 el_val_t got_extract_stem(el_val_t noun, el_val_t stype);
 el_val_t got_gaggan_past(el_val_t slot);
@@ -484,17 +532,17 @@ el_val_t gram_build_vp(el_val_t verb, el_val_t aux, el_val_t profile);
 el_val_t gram_order_constituents(el_val_t subj, el_val_t verb, el_val_t obj, el_val_t profile);
 el_val_t gram_question_strategy(el_val_t profile);
 el_val_t gram_word_order(el_val_t profile);
-el_val_t grc_article(el_val_t gender, el_val_t gram_case, el_val_t number);
 el_val_t grc_article_feminine(el_val_t gram_case, el_val_t number);
 el_val_t grc_article_masculine(el_val_t gram_case, el_val_t number);
 el_val_t grc_article_neuter(el_val_t gram_case, el_val_t number);
+el_val_t grc_article(el_val_t gender, el_val_t gram_case, el_val_t number);
 el_val_t grc_conjugate(el_val_t verb, el_val_t tense, el_val_t person, el_val_t number);
 el_val_t grc_declension(el_val_t noun);
-el_val_t grc_decline(el_val_t noun, el_val_t gram_case, el_val_t number);
 el_val_t grc_decline_1a(el_val_t stem, el_val_t gram_case, el_val_t number);
 el_val_t grc_decline_1e(el_val_t stem, el_val_t gram_case, el_val_t number);
 el_val_t grc_decline_2m(el_val_t stem, el_val_t gram_case, el_val_t number);
 el_val_t grc_decline_2n(el_val_t stem, el_val_t gram_case, el_val_t number);
+el_val_t grc_decline(el_val_t noun, el_val_t gram_case, el_val_t number);
 el_val_t grc_echein_aorist(el_val_t slot);
 el_val_t grc_echein_future(el_val_t slot);
 el_val_t grc_echein_imperfect(el_val_t slot);
@@ -521,9 +569,9 @@ el_val_t grc_present_stem(el_val_t verb);
 el_val_t grc_slot(el_val_t person, el_val_t number);
 el_val_t grc_str_drop_last(el_val_t s, el_val_t n);
 el_val_t grc_str_ends(el_val_t s, el_val_t suf);
+el_val_t grc_str_last_char(el_val_t s);
 el_val_t grc_str_last2(el_val_t s);
 el_val_t grc_str_last3(el_val_t s);
-el_val_t grc_str_last_char(el_val_t s);
 el_val_t grc_thematic_future_ending(el_val_t slot);
 el_val_t grc_thematic_imperfect_ending(el_val_t slot);
 el_val_t grc_thematic_present_ending(el_val_t slot);
@@ -545,27 +593,39 @@ el_val_t handle_api_link_entities(el_val_t body);
 el_val_t handle_api_list_state_events(el_val_t method, el_val_t path, el_val_t body);
 el_val_t handle_api_list_typed(el_val_t node_type, el_val_t path, el_val_t body);
 el_val_t handle_api_log_state_event(el_val_t body);
+el_val_t handle_api_memory_delete(el_val_t body);
+el_val_t handle_api_memory_update(el_val_t body);
+el_val_t handle_api_node_create(el_val_t body);
+el_val_t handle_api_node_delete(el_val_t body);
+el_val_t handle_api_node_update(el_val_t body);
 el_val_t handle_api_promote_knowledge(el_val_t body);
 el_val_t handle_api_recall(el_val_t method, el_val_t path, el_val_t body);
 el_val_t handle_api_remember(el_val_t body);
 el_val_t handle_api_search_knowledge(el_val_t method, el_val_t path, el_val_t body);
 el_val_t handle_api_tune_config(el_val_t body);
-el_val_t handle_chat(el_val_t body);
 el_val_t handle_chat_agentic(el_val_t body);
 el_val_t handle_chat_as_soul(el_val_t body);
+el_val_t handle_chat_plan(el_val_t body);
+el_val_t handle_chat(el_val_t body);
 el_val_t handle_config(el_val_t method, el_val_t body);
+el_val_t handle_connectors(el_val_t method, el_val_t clean, el_val_t body);
 el_val_t handle_conversations(el_val_t method);
-el_val_t handle_dharma(el_val_t path, el_val_t method, el_val_t body);
 el_val_t handle_dharma_recv(el_val_t body);
-el_val_t handle_dharma_room_turn(el_val_t body);
 el_val_t handle_dharma_room_turn_agentic(el_val_t body);
+el_val_t handle_dharma_room_turn(el_val_t body);
+el_val_t handle_dharma(el_val_t path, el_val_t method, el_val_t body);
 el_val_t handle_elp_chat(el_val_t body);
 el_val_t handle_nlg(el_val_t path, el_val_t method, el_val_t body);
 el_val_t handle_request(el_val_t method, el_val_t path, el_val_t body);
+el_val_t handle_safety_contact_get(void);
+el_val_t handle_safety_contact_post(el_val_t body);
 el_val_t handle_see(el_val_t body);
+el_val_t handle_session_approve(el_val_t session_id, el_val_t body);
+el_val_t handle_tool_result(el_val_t session_id, el_val_t body);
 el_val_t handle_tool(el_val_t path, el_val_t method, el_val_t body);
-el_val_t he_conjugate(el_val_t verb, el_val_t tense, el_val_t person, el_val_t gender, el_val_t number);
+el_val_t hard_bell_threshold(void);
 el_val_t he_conjugate_copula(el_val_t tense, el_val_t slot);
+el_val_t he_conjugate(el_val_t verb, el_val_t tense, el_val_t person, el_val_t gender, el_val_t number);
 el_val_t he_copula_future(el_val_t slot);
 el_val_t he_copula_past(el_val_t slot);
 el_val_t he_definite_prefix(el_val_t noun);
@@ -602,12 +662,12 @@ el_val_t hi_genitive_phrase(el_val_t possessor, el_val_t possessor_gender, el_va
 el_val_t hi_hona_past(el_val_t gender, el_val_t number);
 el_val_t hi_hona_present(el_val_t person, el_val_t number);
 el_val_t hi_masc_aa_stem(el_val_t noun);
-el_val_t hi_noun_direct(el_val_t noun, el_val_t gender, el_val_t number);
 el_val_t hi_noun_direct_f(el_val_t noun, el_val_t number);
 el_val_t hi_noun_direct_m(el_val_t noun, el_val_t number);
-el_val_t hi_noun_oblique(el_val_t noun, el_val_t gender, el_val_t number);
+el_val_t hi_noun_direct(el_val_t noun, el_val_t gender, el_val_t number);
 el_val_t hi_noun_oblique_f(el_val_t noun, el_val_t number);
 el_val_t hi_noun_oblique_m(el_val_t noun, el_val_t number);
+el_val_t hi_noun_oblique(el_val_t noun, el_val_t gender, el_val_t number);
 el_val_t hi_noun_with_post(el_val_t noun, el_val_t gender, el_val_t number, el_val_t gram_case);
 el_val_t hi_past_irregular(el_val_t stem, el_val_t gender, el_val_t number);
 el_val_t hi_past_suffix(el_val_t gender, el_val_t number);
@@ -617,16 +677,25 @@ el_val_t hi_str_drop_last(el_val_t s, el_val_t n);
 el_val_t hi_str_ends(el_val_t s, el_val_t suf);
 el_val_t hi_str_last_char(el_val_t s);
 el_val_t hi_tense_suffix(el_val_t tense, el_val_t gender, el_val_t number);
-el_val_t hi_verb_stem(el_val_t infinitive);
 el_val_t hi_verb_stem_clean(el_val_t infinitive);
+el_val_t hi_verb_stem(el_val_t infinitive);
 el_val_t hist_append(el_val_t hist, el_val_t role, el_val_t content);
+el_val_t hist_trim_with_bell_guard(el_val_t hist);
 el_val_t hist_trim(el_val_t hist);
+el_val_t id_in_seen(el_val_t node_id, el_val_t seen);
 el_val_t idle_count(void);
 el_val_t idle_inc(void);
 el_val_t idle_reset(void);
+el_val_t imprint_current(void);
+el_val_t imprint_load(el_val_t imprint_id);
+el_val_t imprint_respond(el_val_t input, el_val_t imprint_id);
+el_val_t imprint_surface_knowledge(el_val_t query, el_val_t imprint_id);
+el_val_t imprint_surface_memory_read(el_val_t query);
+el_val_t imprint_unload(void);
 el_val_t init_soul_edges(void);
 el_val_t irregular_plural(el_val_t word);
 el_val_t irregular_singular(el_val_t word);
+el_val_t is_builtin_tool(el_val_t tool_name);
 el_val_t is_pronoun(el_val_t word);
 el_val_t is_protected_node(el_val_t id);
 el_val_t is_vowel(el_val_t c);
@@ -639,10 +708,10 @@ el_val_t ja_noun_phrase(el_val_t noun, el_val_t gram_case);
 el_val_t ja_particle(el_val_t gram_case);
 el_val_t ja_question_particle(void);
 el_val_t ja_verb_group(el_val_t dict_form);
+el_val_t json_escape(el_val_t s);
 el_val_t json_safe(el_val_t s);
 el_val_t la_conjugate(el_val_t verb, el_val_t tense, el_val_t person, el_val_t number);
 el_val_t la_declension(el_val_t noun);
-el_val_t la_decline(el_val_t noun, el_val_t gram_case, el_val_t number);
 el_val_t la_decline_1(el_val_t stem, el_val_t gram_case, el_val_t number);
 el_val_t la_decline_2er(el_val_t noun, el_val_t gram_case, el_val_t number);
 el_val_t la_decline_2m(el_val_t stem, el_val_t gram_case, el_val_t number);
@@ -650,6 +719,7 @@ el_val_t la_decline_2n(el_val_t stem, el_val_t gram_case, el_val_t number);
 el_val_t la_decline_3(el_val_t noun, el_val_t gram_case, el_val_t number);
 el_val_t la_decline_4(el_val_t stem, el_val_t gram_case, el_val_t number);
 el_val_t la_decline_5(el_val_t stem, el_val_t gram_case, el_val_t number);
+el_val_t la_decline(el_val_t noun, el_val_t gram_case, el_val_t number);
 el_val_t la_esse_future(el_val_t slot);
 el_val_t la_esse_past(el_val_t slot);
 el_val_t la_esse_present(el_val_t slot);
@@ -673,9 +743,9 @@ el_val_t la_slot(el_val_t person, el_val_t number);
 el_val_t la_stem(el_val_t verb, el_val_t vclass);
 el_val_t la_str_drop_last(el_val_t s, el_val_t n);
 el_val_t la_str_ends(el_val_t s, el_val_t suf);
+el_val_t la_str_last_char(el_val_t s);
 el_val_t la_str_last2(el_val_t s);
 el_val_t la_str_last3(el_val_t s);
-el_val_t la_str_last_char(el_val_t s);
 el_val_t la_velle_future(el_val_t slot);
 el_val_t la_velle_past(el_val_t slot);
 el_val_t la_velle_present(el_val_t slot);
@@ -692,7 +762,6 @@ el_val_t lang_is_fusional(el_val_t profile);
 el_val_t lang_is_isolating(el_val_t profile);
 el_val_t lang_is_polysynthetic(el_val_t profile);
 el_val_t lang_is_rtl(el_val_t profile);
-el_val_t lang_profile(el_val_t code, el_val_t word_order, el_val_t morph_type, el_val_t has_case, el_val_t has_gender, el_val_t script_dir, el_val_t agreement, el_val_t null_subject);
 el_val_t lang_profile_akk(void);
 el_val_t lang_profile_ang(void);
 el_val_t lang_profile_ar(void);
@@ -724,13 +793,16 @@ el_val_t lang_profile_sw(void);
 el_val_t lang_profile_txb(void);
 el_val_t lang_profile_uga(void);
 el_val_t lang_profile_zh(void);
+el_val_t lang_profile(el_val_t code, el_val_t word_order, el_val_t morph_type, el_val_t has_case, el_val_t has_gender, el_val_t script_dir, el_val_t agreement, el_val_t null_subject);
 el_val_t lang_word_order(el_val_t profile);
+el_val_t layered_cycle(el_val_t raw_input, el_val_t session_id, el_val_t utility);
+el_val_t layered_generate(el_val_t prompt, el_val_t imprint_id, el_val_t session_id);
 el_val_t lex_class(el_val_t entry);
 el_val_t lex_form(el_val_t entry, el_val_t idx);
 el_val_t lex_pos(el_val_t entry);
 el_val_t lex_word(el_val_t entry);
-el_val_t llm_call_gemini(el_val_t model, el_val_t system, el_val_t message);
-el_val_t llm_call_grok(el_val_t model, el_val_t system, el_val_t message);
+el_val_t llm_base_url(void);
+el_val_t llm_wire_format(void);
 el_val_t load_identity_context(void);
 el_val_t make_action(el_val_t kind, el_val_t payload);
 el_val_t make_entry(el_val_t word, el_val_t pos, el_val_t f0, el_val_t f1, el_val_t f2, el_val_t f3, el_val_t f4, el_val_t cls);
@@ -763,17 +835,20 @@ el_val_t mem_save(el_val_t path);
 el_val_t mem_search(el_val_t query, el_val_t limit);
 el_val_t mem_store(el_val_t content, el_val_t label, el_val_t tags);
 el_val_t mem_strengthen(el_val_t node_id);
+el_val_t mem_tombstone(el_val_t node_id);
+el_val_t memory_hide_tombstoned(el_val_t raw, el_val_t path);
 el_val_t morph_apply_suffix(el_val_t base, el_val_t suffix);
 el_val_t morph_conjugate(el_val_t verb, el_val_t tense, el_val_t person, el_val_t number, el_val_t profile);
 el_val_t morph_inflect(el_val_t word, el_val_t features, el_val_t profile);
 el_val_t morph_map_canonical(el_val_t verb, el_val_t code);
 el_val_t morph_pluralize(el_val_t noun, el_val_t profile);
+el_val_t next_bridge_id(void);
 el_val_t nlg_is_ws(el_val_t c);
 el_val_t non_conjugate(el_val_t verb, el_val_t tense, el_val_t person, el_val_t number);
-el_val_t non_decline(el_val_t noun, el_val_t gram_case, el_val_t number);
 el_val_t non_decline_fem(el_val_t noun, el_val_t gram_case, el_val_t number);
 el_val_t non_decline_masc(el_val_t noun, el_val_t gram_case, el_val_t number);
 el_val_t non_decline_neut(el_val_t noun, el_val_t gram_case, el_val_t number);
+el_val_t non_decline(el_val_t noun, el_val_t gram_case, el_val_t number);
 el_val_t non_def_suffix_fem(el_val_t gram_case, el_val_t number);
 el_val_t non_def_suffix_masc(el_val_t gram_case, el_val_t number);
 el_val_t non_def_suffix_neut(el_val_t gram_case, el_val_t number);
@@ -799,13 +874,21 @@ el_val_t non_vera_present(el_val_t slot);
 el_val_t non_weak_past(el_val_t stem, el_val_t slot);
 el_val_t non_weak_present(el_val_t stem, el_val_t slot);
 el_val_t one_cycle(void);
+el_val_t openai_chat_complete(el_val_t model, el_val_t base_url, el_val_t api_key, el_val_t safe_sys, el_val_t messages_json);
+el_val_t openai_tools_json(el_val_t tools_anthropic);
+el_val_t json_trim_dangling_escape(el_val_t s);
+el_val_t utf8_safe_slice(el_val_t s, el_val_t n);
+el_val_t agentic_tools_no_web(void);
+el_val_t openai_agentic_loop(el_val_t session_id, el_val_t model, el_val_t safe_sys, el_val_t tools_json, el_val_t messages_in, el_val_t tools_log_in);
+el_val_t parse_float_x100(el_val_t s);
+el_val_t path_within_root(el_val_t path, el_val_t root);
 el_val_t peo_ah_past(el_val_t slot);
 el_val_t peo_ah_present(el_val_t slot);
 el_val_t peo_conjugate(el_val_t verb, el_val_t tense, el_val_t person, el_val_t number);
 el_val_t peo_da_past(el_val_t slot);
 el_val_t peo_da_present(el_val_t slot);
-el_val_t peo_decline(el_val_t noun, el_val_t gram_case, el_val_t number);
 el_val_t peo_decline_astem(el_val_t noun, el_val_t gram_case, el_val_t number);
+el_val_t peo_decline(el_val_t noun, el_val_t gram_case, el_val_t number);
 el_val_t peo_drop(el_val_t s, el_val_t n);
 el_val_t peo_ends(el_val_t s, el_val_t suf);
 el_val_t peo_kar_past(el_val_t slot);
@@ -821,11 +904,11 @@ el_val_t perceive(void);
 el_val_t pi_aorist_ending(el_val_t slot);
 el_val_t pi_atthi_present(el_val_t slot);
 el_val_t pi_conjugate(el_val_t verb, el_val_t tense, el_val_t person, el_val_t number);
-el_val_t pi_decline(el_val_t noun, el_val_t gram_case, el_val_t number);
 el_val_t pi_decline_a_fem_pl(el_val_t stem, el_val_t gram_case);
 el_val_t pi_decline_a_fem_sg(el_val_t stem, el_val_t gram_case);
 el_val_t pi_decline_a_masc_pl(el_val_t stem, el_val_t gram_case);
 el_val_t pi_decline_a_masc_sg(el_val_t stem, el_val_t gram_case);
+el_val_t pi_decline(el_val_t noun, el_val_t gram_case, el_val_t number);
 el_val_t pi_detect_class(el_val_t noun);
 el_val_t pi_drop(el_val_t s, el_val_t n);
 el_val_t pi_future_ending(el_val_t slot);
@@ -852,26 +935,28 @@ el_val_t pi_vadati_aorist(el_val_t slot);
 el_val_t pi_vadati_future(el_val_t slot);
 el_val_t pi_vadati_present(el_val_t slot);
 el_val_t pluralize(el_val_t singular);
+el_val_t proactive_curiosity(void);
 el_val_t pulse_count(void);
 el_val_t pulse_inc(void);
-el_val_t realize(el_val_t form);
+el_val_t rate_limit_check(el_val_t ip, el_val_t path);
 el_val_t realize_lang(el_val_t form, el_val_t profile);
 el_val_t realize_np(el_val_t referent, el_val_t number);
 el_val_t realize_question_lang(el_val_t predicate, el_val_t tense, el_val_t aspect, el_val_t person, el_val_t number, el_val_t agent, el_val_t patient, el_val_t location, el_val_t profile);
 el_val_t realize_vp_lang(el_val_t base_verb, el_val_t tense, el_val_t aspect, el_val_t person, el_val_t number, el_val_t profile);
+el_val_t realize(el_val_t form);
 el_val_t record(el_val_t outcome_json);
 el_val_t render_studio(void);
 el_val_t render_tree(el_val_t tree);
+el_val_t resolve_in_root(el_val_t path, el_val_t root);
 el_val_t respond(el_val_t action_json);
 el_val_t route_health(void);
 el_val_t route_imprint_contextual(el_val_t body);
 el_val_t route_imprint_user(el_val_t body);
 el_val_t route_lineage(void);
-el_val_t route_sessions(void);
 el_val_t route_synthesize(el_val_t body);
-el_val_t ru_conjugate(el_val_t verb, el_val_t tense, el_val_t person, el_val_t number, el_val_t gender);
 el_val_t ru_conjugate_1st(el_val_t stem, el_val_t tense, el_val_t person, el_val_t number);
 el_val_t ru_conjugate_2nd(el_val_t stem, el_val_t tense, el_val_t person, el_val_t number);
+el_val_t ru_conjugate(el_val_t verb, el_val_t tense, el_val_t person, el_val_t number, el_val_t gender);
 el_val_t ru_decline_fem(el_val_t noun, el_val_t stype, el_val_t gram_case, el_val_t number);
 el_val_t ru_decline_masc(el_val_t noun, el_val_t stype, el_val_t gram_case, el_val_t number);
 el_val_t ru_decline_neut(el_val_t noun, el_val_t stype, el_val_t gram_case, el_val_t number);
@@ -884,8 +969,10 @@ el_val_t ru_past_stem(el_val_t verb);
 el_val_t ru_stem_type(el_val_t noun, el_val_t gender);
 el_val_t rule_id(el_val_t rule);
 el_val_t rule_lhs(el_val_t rule);
-el_val_t rule_rhs(el_val_t rule, el_val_t idx);
 el_val_t rule_rhs_len(el_val_t rule);
+el_val_t rule_rhs(el_val_t rule, el_val_t idx);
+el_val_t run_command_guard(el_val_t cmd, el_val_t root);
+el_val_t run_command_is_readonly(el_val_t cmd);
 el_val_t sa_as_future(el_val_t slot);
 el_val_t sa_as_past(el_val_t slot);
 el_val_t sa_as_present(el_val_t slot);
@@ -897,11 +984,11 @@ el_val_t sa_class1_future_ending(el_val_t slot);
 el_val_t sa_class1_past_ending(el_val_t slot);
 el_val_t sa_class1_present_ending(el_val_t slot);
 el_val_t sa_conjugate(el_val_t verb, el_val_t tense, el_val_t person, el_val_t number);
-el_val_t sa_decline(el_val_t noun, el_val_t gram_case, el_val_t number);
 el_val_t sa_decline_a_stem_pl(el_val_t stem, el_val_t gram_case);
 el_val_t sa_decline_a_stem_sg(el_val_t stem, el_val_t gram_case);
 el_val_t sa_decline_aa_stem_pl(el_val_t stem, el_val_t gram_case);
 el_val_t sa_decline_aa_stem_sg(el_val_t stem, el_val_t gram_case);
+el_val_t sa_decline(el_val_t noun, el_val_t gram_case, el_val_t number);
 el_val_t sa_drs_future(el_val_t slot);
 el_val_t sa_drs_past(el_val_t slot);
 el_val_t sa_drs_present(el_val_t slot);
@@ -921,27 +1008,70 @@ el_val_t sa_str_ends(el_val_t s, el_val_t suf);
 el_val_t sa_vad_future(el_val_t slot);
 el_val_t sa_vad_past(el_val_t slot);
 el_val_t sa_vad_present(el_val_t slot);
+el_val_t safety_abuse_phrases(void);
+el_val_t safety_any_match(el_val_t text, el_val_t phrases_json);
+el_val_t safety_augment_system(el_val_t system, el_val_t user_msg);
+el_val_t safety_classify_hard_bell(el_val_t message);
+el_val_t safety_contact_path(void);
+el_val_t safety_count_match(el_val_t text, el_val_t phrases_json);
+el_val_t safety_detect_bell_level(el_val_t message);
+el_val_t safety_detect_positive_level(el_val_t message);
+el_val_t safety_general_hard_phrases(void);
+el_val_t safety_hard_directive(el_val_t hard_type);
+el_val_t safety_log_bell(el_val_t level, el_val_t reason, el_val_t input_summary);
+el_val_t safety_normalize(el_val_t message);
+el_val_t safety_positive_phrases(void);
+el_val_t safety_score_crisis(el_val_t input);
+el_val_t safety_score_danger(el_val_t input);
+el_val_t safety_score_distress_history(el_val_t history);
+el_val_t safety_score_harm(el_val_t input);
+el_val_t safety_screen(el_val_t input, el_val_t history);
+el_val_t safety_self_harm_phrases(void);
+el_val_t safety_soft_directive(void);
+el_val_t safety_soft_phrases(void);
+el_val_t safety_threat_score(el_val_t input, el_val_t history);
+el_val_t safety_threat_to_others_phrases(void);
+el_val_t safety_validate(el_val_t output, el_val_t action);
 el_val_t scan_token(el_val_t s, el_val_t start);
 el_val_t security_research_authorized(void);
 el_val_t seed_persona_from_env(void);
 el_val_t sem_first_modifier(el_val_t mods);
-el_val_t sem_frame(el_val_t intent, el_val_t subject, el_val_t obj, el_val_t modifiers);
 el_val_t sem_frame_lang(el_val_t intent, el_val_t subject, el_val_t obj, el_val_t modifiers, el_val_t lang_code);
 el_val_t sem_frame_obj(el_val_t intent, el_val_t subject, el_val_t obj);
 el_val_t sem_frame_simple(el_val_t intent, el_val_t subject);
+el_val_t sem_frame(el_val_t intent, el_val_t subject, el_val_t obj, el_val_t modifiers);
 el_val_t sem_get(el_val_t json, el_val_t key);
-el_val_t sem_intent(el_val_t frame);
 el_val_t sem_intent_to_realize(el_val_t intent);
+el_val_t sem_intent(el_val_t frame);
 el_val_t sem_lang(el_val_t frame);
 el_val_t sem_modifiers(el_val_t frame);
 el_val_t sem_object(el_val_t frame);
-el_val_t sem_realize(el_val_t frame);
 el_val_t sem_realize_full(el_val_t frame, el_val_t verb, el_val_t tense, el_val_t aspect);
 el_val_t sem_realize_greet(el_val_t subject);
 el_val_t sem_realize_lang(el_val_t frame, el_val_t lang_code);
+el_val_t sem_realize(el_val_t frame);
 el_val_t sem_subject(el_val_t frame);
-el_val_t sem_to_spec(el_val_t frame);
 el_val_t sem_to_spec_full(el_val_t frame, el_val_t verb, el_val_t tense, el_val_t aspect);
+el_val_t sem_to_spec(el_val_t frame);
+el_val_t session_auto_title(el_val_t session_id, el_val_t first_message);
+el_val_t session_create_cleanup(el_val_t session_id);
+el_val_t session_create(el_val_t body);
+el_val_t session_delete(el_val_t session_id);
+el_val_t session_exists(el_val_t session_id);
+el_val_t session_get(el_val_t session_id);
+el_val_t session_hist_load(el_val_t session_id);
+el_val_t session_hist_save(el_val_t session_id, el_val_t hist);
+el_val_t session_list(void);
+el_val_t session_make_content(el_val_t id, el_val_t title, el_val_t created_at, el_val_t updated_at, el_val_t folder);
+el_val_t session_preload_bullets(el_val_t nodes, el_val_t max_bullets, el_val_t snip_len);
+el_val_t session_search_entry(el_val_t node);
+el_val_t session_search(el_val_t query);
+el_val_t session_summary_autogenerate(el_val_t hist);
+el_val_t session_summary_write_dated(el_val_t summary_text, el_val_t label);
+el_val_t session_summary_write(el_val_t summary_text);
+el_val_t session_title_from_message(el_val_t message);
+el_val_t session_update_meta_timestamp(el_val_t session_id);
+el_val_t session_update_patch(el_val_t session_id, el_val_t body);
 el_val_t sga_adci_present(el_val_t slot);
 el_val_t sga_ai_present(el_val_t stem, el_val_t slot);
 el_val_t sga_asbeir_present(el_val_t slot);
@@ -949,9 +1079,9 @@ el_val_t sga_bith_past(el_val_t slot);
 el_val_t sga_bith_present(el_val_t slot);
 el_val_t sga_conjugate(el_val_t verb, el_val_t tense, el_val_t person, el_val_t number);
 el_val_t sga_copula_present(el_val_t slot);
-el_val_t sga_decline(el_val_t noun, el_val_t gram_case, el_val_t number);
 el_val_t sga_decline_astem(el_val_t noun, el_val_t gram_case, el_val_t number);
 el_val_t sga_decline_ostem(el_val_t noun, el_val_t gram_case, el_val_t number);
+el_val_t sga_decline(el_val_t noun, el_val_t gram_case, el_val_t number);
 el_val_t sga_detect_gender(el_val_t noun);
 el_val_t sga_drop(el_val_t s, el_val_t n);
 el_val_t sga_first(el_val_t s);
@@ -967,11 +1097,21 @@ el_val_t singularize(el_val_t plural);
 el_val_t skip_ws(el_val_t s, el_val_t pos);
 el_val_t slots_get(el_val_t slots, el_val_t key);
 el_val_t slots_set(el_val_t slots, el_val_t key, el_val_t val);
+el_val_t soft_bell_threshold(void);
+el_val_t steward_align(el_val_t input, el_val_t imprint_id);
+el_val_t steward_build_baseline(void);
+el_val_t steward_cgi_check(el_val_t action);
+el_val_t steward_check_continuity(el_val_t current_fingerprint, el_val_t session_id);
+el_val_t steward_fingerprint_session(el_val_t input, el_val_t session_id);
+el_val_t steward_get_mission(void);
+el_val_t steward_log_event(el_val_t kind, el_val_t detail);
+el_val_t steward_session_check(el_val_t input, el_val_t session_id);
+el_val_t steward_validate_imprint(el_val_t imprint_id, el_val_t tool_name);
 el_val_t str_drop_last(el_val_t s, el_val_t n);
 el_val_t str_ends(el_val_t s, el_val_t suf);
+el_val_t str_last_char(el_val_t s);
 el_val_t str_last2(el_val_t s);
 el_val_t str_last3(el_val_t s);
-el_val_t str_last_char(el_val_t s);
 el_val_t strengthen_chat_nodes(el_val_t activation_nodes);
 el_val_t strip_query(el_val_t path);
 el_val_t studio_tools_json(void);
@@ -998,8 +1138,8 @@ el_val_t sux_realize_sentence(el_val_t intent, el_val_t agent, el_val_t predicat
 el_val_t sux_slot(el_val_t person, el_val_t number);
 el_val_t sux_str_drop_last(el_val_t s, el_val_t n);
 el_val_t sux_str_ends(el_val_t s, el_val_t suf);
-el_val_t sux_str_last2(el_val_t s);
 el_val_t sux_str_last_char(el_val_t s);
+el_val_t sux_str_last2(el_val_t s);
 el_val_t sux_tum2_past(el_val_t slot);
 el_val_t sux_tum2_present(el_val_t slot);
 el_val_t sux_verb_chain(el_val_t agent, el_val_t verb, el_val_t patient, el_val_t tense);
@@ -1017,9 +1157,9 @@ el_val_t sw_noun_plural(el_val_t noun);
 el_val_t sw_obj_prefix(el_val_t person, el_val_t number, el_val_t noun_class);
 el_val_t sw_str_drop_last(el_val_t s, el_val_t n);
 el_val_t sw_str_ends(el_val_t s, el_val_t suf);
+el_val_t sw_str_first_char(el_val_t s);
 el_val_t sw_str_first2(el_val_t s);
 el_val_t sw_str_first3(el_val_t s);
-el_val_t sw_str_first_char(el_val_t s);
 el_val_t sw_str_last_char(el_val_t s);
 el_val_t sw_subj_prefix(el_val_t person, el_val_t number, el_val_t noun_class);
 el_val_t sw_tense_marker(el_val_t tense);
@@ -1033,10 +1173,13 @@ el_val_t threat_trajectory_check(el_val_t tool_name, el_val_t tool_input);
 el_val_t tier_canonical(void);
 el_val_t tier_episodic(void);
 el_val_t tier_working(void);
+el_val_t tombstone_node(el_val_t id);
+el_val_t tombstoned_id_set(void);
+el_val_t tool_auto_approved(el_val_t tool_name);
 el_val_t txb_conjugate(el_val_t verb, el_val_t tense, el_val_t person, el_val_t number);
-el_val_t txb_decline(el_val_t noun, el_val_t gram_case, el_val_t number);
 el_val_t txb_decline_fem(el_val_t noun, el_val_t gram_case, el_val_t number);
 el_val_t txb_decline_masc(el_val_t noun, el_val_t gram_case, el_val_t number);
+el_val_t txb_decline(el_val_t noun, el_val_t gram_case, el_val_t number);
 el_val_t txb_detect_gender(el_val_t noun);
 el_val_t txb_drop(el_val_t s, el_val_t n);
 el_val_t txb_ends(el_val_t s, el_val_t suf);
@@ -1051,8 +1194,8 @@ el_val_t txb_wes_present(el_val_t slot);
 el_val_t txb_ya_present(el_val_t slot);
 el_val_t uga_amr_imperfect(el_val_t slot);
 el_val_t uga_amr_perfect(el_val_t slot);
-el_val_t uga_conjugate(el_val_t verb, el_val_t tense, el_val_t person, el_val_t number);
 el_val_t uga_conjugate_copula(el_val_t tense, el_val_t slot);
+el_val_t uga_conjugate(el_val_t verb, el_val_t tense, el_val_t person, el_val_t number);
 el_val_t uga_decline(el_val_t noun, el_val_t gram_case, el_val_t number);
 el_val_t uga_generic_imperfect(el_val_t base3sg, el_val_t slot);
 el_val_t uga_generic_perfect(el_val_t base3sg, el_val_t slot);
@@ -1067,8 +1210,8 @@ el_val_t uga_map_canonical(el_val_t verb);
 el_val_t uga_noun_phrase(el_val_t noun, el_val_t gram_case, el_val_t number, el_val_t definite);
 el_val_t uga_ray_imperfect(el_val_t slot);
 el_val_t uga_ray_perfect(el_val_t slot);
-el_val_t uga_slot(el_val_t person, el_val_t number);
 el_val_t uga_slot_g(el_val_t person, el_val_t gender, el_val_t number);
+el_val_t uga_slot(el_val_t person, el_val_t number);
 el_val_t uga_str_drop_last(el_val_t s, el_val_t n);
 el_val_t uga_str_ends(el_val_t s, el_val_t suf);
 el_val_t uga_str_len(el_val_t s);
@@ -1076,7 +1219,6 @@ el_val_t uga_strip_nom(el_val_t noun);
 el_val_t verb_form(el_val_t base, el_val_t tense, el_val_t person, el_val_t number);
 el_val_t vocab_by_class(el_val_t cls);
 el_val_t vocab_by_pos(el_val_t pos);
-el_val_t vocab_lookup(el_val_t word, el_val_t lang_code);
 el_val_t vocab_lookup_en(el_val_t word);
+el_val_t vocab_lookup(el_val_t word, el_val_t lang_code);
 el_val_t vocab_synonym(el_val_t word, el_val_t lang_register, el_val_t lang_code);
-el_val_t xai_api_key(void);

dist/elp-input.elh

@@ -1,5 +0,0 @@
-// auto-generated by elc --emit-header — do not edit
-extern fn elp_extract_topic(msg: String) -> String
-extern fn elp_detect_predicate(msg: String) -> String
-extern fn elp_parse(msg: String) -> String
-extern fn handle_elp_chat(body: String) -> String

dist/elp.elh

@@ -1,7 +0,0 @@
-// auto-generated by elc --emit-header — do not edit
-extern fn sem_get(json: String, key: String) -> String
-extern fn generate_frame(frame: Any) -> String
-extern fn generate_frame_lang(frame: Any, lang_code: String) -> String
-extern fn build_form_from_json(semantic_form_json: String, lang_code: String) -> Any
-extern fn generate(semantic_form_json: String) -> String
-extern fn generate_lang(semantic_form_json: String, lang_code: String) -> String

dist/grammar.elh

@@ -1,38 +0,0 @@
-// auto-generated by elc --emit-header — do not edit
-extern fn slots_get(slots: Any, key: String) -> String
-extern fn slots_set(slots: Any, key: String, val: String) -> Any
-extern fn make_slots(k0: String, v0: String) -> Any
-extern fn make_slots2(k0: String, v0: String, k1: String, v1: String) -> Any
-extern fn make_slots3(k0: String, v0: String, k1: String, v1: String, k2: String, v2: String) -> Any
-extern fn make_slots4(k0: String, v0: String, k1: String, v1: String, k2: String, v2: String, k3: String, v3: String) -> Any
-extern fn make_slots5(k0: String, v0: String, k1: String, v1: String, k2: String, v2: String, k3: String, v3: String, k4: String, v4: String) -> Any
-extern fn rule_id(rule: Any) -> String
-extern fn rule_lhs(rule: Any) -> String
-extern fn rule_rhs_len(rule: Any) -> Int
-extern fn rule_rhs(rule: Any, idx: Int) -> String
-extern fn make_rule(id: String, lhs: String, r0: String) -> Any
-extern fn make_rule2(id: String, lhs: String, r0: String, r1: String) -> Any
-extern fn make_rule3(id: String, lhs: String, r0: String, r1: String, r2: String) -> Any
-extern fn make_rule4(id: String, lhs: String, r0: String, r1: String, r2: String, r3: String) -> Any
-extern fn build_rules() -> Any
-extern fn get_rules() -> Any
-extern fn find_rule(rule_id_str: String) -> Any
-extern fn make_leaf(label: String, word: String) -> String
-extern fn make_node1(label: String, child0: String) -> String
-extern fn make_node2(label: String, child0: String, child1: String) -> String
-extern fn make_node3(label: String, child0: String, child1: String, child2: String) -> String
-extern fn make_node4(label: String, child0: String, child1: String, child2: String, child3: String) -> String
-extern fn nlg_is_ws(c: String) -> Bool
-extern fn skip_ws(s: String, pos: Int) -> Int
-extern fn scan_token(s: String, start: Int) -> Any
-extern fn render_tree(tree: String) -> String
-extern fn gram_word_order(profile: Any) -> String
-extern fn gram_order_constituents(subj: String, verb: String, obj: String, profile: Any) -> String
-extern fn gram_build_vp(verb: String, aux: String, profile: Any) -> String
-extern fn gram_question_strategy(profile: Any) -> String
-extern fn is_pronoun(word: String) -> Bool
-extern fn build_np(referent: String, slots: Any) -> String
-extern fn build_pp(loc: String) -> String
-extern fn build_vp_body(slots: Any) -> String
-extern fn build_vp_from_slots(slots: Any) -> String
-extern fn generate_tree(rule_id_str: String, slots: Any) -> String

dist/imprint.c

@@ -0,0 +1,72 @@
+#include <stdint.h>
+#include <stdlib.h>
+#include "el_runtime.h"
+
+el_val_t imprint_current(void);
+el_val_t imprint_load(el_val_t imprint_id);
+el_val_t imprint_respond(el_val_t input, el_val_t imprint_id);
+el_val_t imprint_surface_knowledge(el_val_t query, el_val_t imprint_id);
+el_val_t imprint_surface_memory_read(el_val_t query);
+el_val_t imprint_unload(void);
+
+el_val_t imprint_current(void) {
+  el_val_t id = state_get(EL_STR("active_imprint_id"));
+  return ({ el_val_t _if_result_1 = 0; if (str_eq(id, EL_STR(""))) { _if_result_1 = (EL_STR("base")); } else { _if_result_1 = (id); } _if_result_1; });
+  return 0;
+}
+
+el_val_t imprint_load(el_val_t imprint_id) {
+  el_val_t label = el_str_concat(EL_STR("imprint:"), imprint_id);
+  el_val_t results = engram_search_json(label, 1);
+  if (str_eq(results, EL_STR(""))) {
+    return el_str_concat(el_str_concat(EL_STR("{\"ok\":false,\"error\":\"imprint not found: "), imprint_id), EL_STR("\"}"));
+  }
+  if (str_eq(results, EL_STR("[]"))) {
+    return el_str_concat(el_str_concat(EL_STR("{\"ok\":false,\"error\":\"imprint not found: "), imprint_id), EL_STR("\"}"));
+  }
+  el_val_t found_label = json_get(results, EL_STR("label"));
+  if (str_eq(found_label, label)) {
+    state_set(EL_STR("active_imprint_id"), imprint_id);
+    return el_str_concat(el_str_concat(EL_STR("{\"ok\":true,\"id\":\""), imprint_id), EL_STR("\"}"));
+  }
+  return el_str_concat(el_str_concat(EL_STR("{\"ok\":false,\"error\":\"imprint not found: "), imprint_id), EL_STR("\"}"));
+  return 0;
+}
+
+el_val_t imprint_respond(el_val_t input, el_val_t imprint_id) {
+  if (str_eq(imprint_id, EL_STR("base"))) {
+    return input;
+  }
+  if (str_eq(imprint_id, EL_STR(""))) {
+    return input;
+  }
+  el_val_t current = imprint_current();
+  if (str_eq(current, imprint_id)) {
+    return el_str_concat(el_str_concat(el_str_concat(input, EL_STR(" [imprint:")), imprint_id), EL_STR(" active]"));
+  }
+  return input;
+  return 0;
+}
+
+el_val_t imprint_surface_knowledge(el_val_t query, el_val_t imprint_id) {
+  if (str_eq(imprint_id, EL_STR("base"))) {
+    return engram_search_json(query, 10);
+  }
+  if (str_eq(imprint_id, EL_STR(""))) {
+    return engram_search_json(query, 10);
+  }
+  el_val_t scoped_query = el_str_concat(el_str_concat(query, EL_STR(" domain:")), imprint_id);
+  return engram_search_json(scoped_query, 10);
+  return 0;
+}
+
+el_val_t imprint_surface_memory_read(el_val_t query) {
+  return engram_search_json(query, 10);
+  return 0;
+}
+
+el_val_t imprint_unload(void) {
+  state_set(EL_STR("active_imprint_id"), EL_STR(""));
+  return 0;
+}
+

dist/language-profile.elh

@@ -1,46 +0,0 @@
-// auto-generated by elc --emit-header — do not edit
-extern fn lang_profile(code: String, word_order: String, morph_type: String, has_case: String, has_gender: String, script_dir: String, agreement: String, null_subject: String) -> [String]
-extern fn lang_get(profile: [String], key: String) -> String
-extern fn lang_profile_en() -> [String]
-extern fn lang_profile_ja() -> [String]
-extern fn lang_profile_ar() -> [String]
-extern fn lang_profile_zh() -> [String]
-extern fn lang_profile_de() -> [String]
-extern fn lang_profile_es() -> [String]
-extern fn lang_profile_fi() -> [String]
-extern fn lang_profile_sw() -> [String]
-extern fn lang_profile_hi() -> [String]
-extern fn lang_profile_ru() -> [String]
-extern fn lang_profile_fr() -> [String]
-extern fn lang_profile_la() -> [String]
-extern fn lang_profile_he() -> [String]
-extern fn lang_profile_sa() -> [String]
-extern fn lang_profile_got() -> [String]
-extern fn lang_profile_non() -> [String]
-extern fn lang_profile_enm() -> [String]
-extern fn lang_profile_pi() -> [String]
-extern fn lang_profile_grc() -> [String]
-extern fn lang_profile_ang() -> [String]
-extern fn lang_profile_fro() -> [String]
-extern fn lang_profile_goh() -> [String]
-extern fn lang_profile_sga() -> [String]
-extern fn lang_profile_txb() -> [String]
-extern fn lang_profile_peo() -> [String]
-extern fn lang_profile_akk() -> [String]
-extern fn lang_profile_uga() -> [String]
-extern fn lang_profile_egy() -> [String]
-extern fn lang_profile_sux() -> [String]
-extern fn lang_profile_gez() -> [String]
-extern fn lang_profile_cop() -> [String]
-extern fn lang_from_code(code: String) -> [String]
-extern fn lang_default() -> [String]
-extern fn lang_is_isolating(profile: [String]) -> Bool
-extern fn lang_is_agglutinative(profile: [String]) -> Bool
-extern fn lang_is_fusional(profile: [String]) -> Bool
-extern fn lang_is_polysynthetic(profile: [String]) -> Bool
-extern fn lang_is_rtl(profile: [String]) -> Bool
-extern fn lang_has_null_subject(profile: [String]) -> Bool
-extern fn lang_has_case(profile: [String]) -> Bool
-extern fn lang_has_gender(profile: [String]) -> Bool
-extern fn lang_word_order(profile: [String]) -> String
-extern fn lang_code(profile: [String]) -> String

dist/memory.c

@@ -10,6 +10,7 @@ el_val_t mem_remember(el_val_t content, el_val_t tags);
 el_val_t mem_recall(el_val_t query, el_val_t depth);
 el_val_t mem_search(el_val_t query, el_val_t limit);
 el_val_t mem_strengthen(el_val_t node_id);
+el_val_t mem_tombstone(el_val_t node_id);
 el_val_t mem_forget(el_val_t node_id);
 el_val_t mem_consolidate(void);
 el_val_t mem_save(el_val_t path);
@@ -34,7 +35,18 @@ el_val_t tier_canonical(void) {
 }
 
 el_val_t mem_store(el_val_t content, el_val_t label, el_val_t tags) {
-  return engram_node_full(content, EL_STR("Memory"), label, el_from_float(0.5), el_from_float(0.5), el_from_float(0.8), EL_STR("Working"), tags);
+  el_val_t id = engram_node_full(content, EL_STR("Memory"), label, el_from_float(0.5), el_from_float(0.5), el_from_float(0.8), EL_STR("Working"), tags);
+  if (str_eq(id, EL_STR(""))) {
+    println(el_str_concat(EL_STR("[memory] write rejected by engram (empty id): label="), label));
+    return EL_STR("");
+  }
+  el_val_t readback = engram_get_node_json(id);
+  if (str_eq(readback, EL_STR("")) || str_eq(readback, EL_STR("{}"))) {
+    println(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("[memory] WRITE VERIFY FAILED: label="), label), EL_STR(" id=")), id), EL_STR(" \xe2\x80\x94 node absent after write")));
+    return EL_STR("");
+  }
+  println(el_str_concat(el_str_concat(EL_STR("[memory] write verified: "), id), EL_STR(" ok")));
+  return id;
   return 0;
 }
 
@@ -58,22 +70,60 @@ el_val_t mem_strengthen(el_val_t node_id) {
   return 0;
 }
 
+el_val_t mem_tombstone(el_val_t node_id) {
+  el_val_t tags = EL_STR("[\"Tombstone\",\"status:deleted\"]");
+  el_val_t marker = engram_node_full(node_id, EL_STR("Tombstone"), el_str_concat(EL_STR("tombstone:"), node_id), el_from_float(0.01), el_from_float(0.01), el_from_float(1.0), EL_STR("Episodic"), tags);
+  if (!str_eq(marker, EL_STR(""))) {
+    engram_connect(marker, node_id, el_from_float(1.0), EL_STR("tombstones"));
+  }
+  return marker;
+  return 0;
+}
+
 el_val_t mem_forget(el_val_t node_id) {
-  engram_forget(node_id);
+  el_val_t _marker = mem_tombstone(node_id);
   return 0;
 }
 
 el_val_t mem_consolidate(void) {
   el_val_t scanned = engram_node_count();
-  el_val_t dummy = engram_scan_nodes_json(100, 0);
-  el_val_t total_nodes = engram_node_count();
   el_val_t total_edges = engram_edge_count();
-  return el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"scanned\":"), int_to_str(scanned)), EL_STR(",\"total_nodes\":")), int_to_str(total_nodes)), EL_STR(",\"total_edges\":")), int_to_str(total_edges)), EL_STR("}"));
+  el_val_t strengthened = 0;
+  el_val_t wm_top = engram_wm_top_json(10);
+  el_val_t wm_len = json_array_len(wm_top);
+  el_val_t wi = 0;
+  while (wi < wm_len) {
+    el_val_t wm_node = json_array_get(wm_top, wi);
+    el_val_t wm_id = json_get(wm_node, EL_STR("id"));
+    if (!str_eq(wm_id, EL_STR(""))) {
+      engram_strengthen(wm_id);
+      strengthened = (strengthened + 1);
+    }
+    wi = (wi + 1);
+  }
+  el_val_t scan_result = engram_scan_nodes_json(50, 0);
+  el_val_t scan_len = json_array_len(scan_result);
+  el_val_t si = 0;
+  while (si < scan_len) {
+    el_val_t s_node = json_array_get(scan_result, si);
+    el_val_t s_tier = json_get(s_node, EL_STR("tier"));
+    el_val_t s_id = json_get(s_node, EL_STR("id"));
+    if (str_eq(s_tier, EL_STR("Canonical")) && !str_eq(s_id, EL_STR(""))) {
+      engram_strengthen(s_id);
+      strengthened = (strengthened + 1);
+    }
+    si = (si + 1);
+  }
+  el_val_t total_nodes = engram_node_count();
+  return el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"scanned\":"), int_to_str(scanned)), EL_STR(",\"total_nodes\":")), int_to_str(total_nodes)), EL_STR(",\"total_edges\":")), int_to_str(total_edges)), EL_STR(",\"strengthened\":")), int_to_str(strengthened)), EL_STR("}"));
   return 0;
 }
 
 el_val_t mem_save(el_val_t path) {
-  engram_save(path);
+  el_val_t saved = engram_save(path);
+  if (saved == 0) {
+    println(el_str_concat(el_str_concat(EL_STR("[memory] mem_save: engram_save failed for "), path), EL_STR(" \xe2\x80\x94 snapshot may be incomplete")));
+  }
   return 0;
 }
 
@@ -104,9 +154,56 @@ el_val_t mem_boot_count_get(void) {
 el_val_t mem_boot_count_inc(void) {
   el_val_t current = mem_boot_count_get();
   el_val_t next = (current + 1);
+  el_val_t old_results = engram_search_json(EL_STR("soul:boot_count"), 50);
+  if (!str_eq(old_results, EL_STR("")) && !str_eq(old_results, EL_STR("[]"))) {
+    el_val_t old_len = json_array_len(old_results);
+    el_val_t oi = 0;
+    while (oi < old_len) {
+      el_val_t old_node = json_array_get(old_results, oi);
+      el_val_t old_id = json_get(old_node, EL_STR("id"));
+      if (!str_eq(old_id, EL_STR(""))) {
+        engram_forget(old_id);
+      }
+      oi = (oi + 1);
+    }
+  }
   el_val_t content = el_str_concat(EL_STR("soul:boot_count:"), int_to_str(next));
   el_val_t tags = EL_STR("[\"soul-meta\",\"boot-counter\"]");
-  el_val_t discard = engram_node_full(content, EL_STR("Memory"), EL_STR("soul:boot_count"), el_from_float(0.9), el_from_float(0.9), el_from_float(1.0), EL_STR("Canonical"), tags);
+  el_val_t boot_node_id = engram_node_full(content, EL_STR("Memory"), EL_STR("soul:boot_count"), el_from_float(0.55), el_from_float(0.2), el_from_float(1.0), EL_STR("Working"), tags);
+  if (str_eq(boot_node_id, EL_STR(""))) {
+    println(el_str_concat(el_str_concat(EL_STR("[memory] mem_boot_count_inc: write rejected (empty id) \xe2\x80\x94 boot counter node lost (count="), int_to_str(next)), EL_STR(")")));
+    return next;
+  }
+  el_val_t boot_readback = engram_get_node_json(boot_node_id);
+  if (str_eq(boot_readback, EL_STR("")) || str_eq(boot_readback, EL_STR("{}"))) {
+    println(el_str_concat(el_str_concat(el_str_concat(EL_STR("[memory] mem_boot_count_inc: WRITE VERIFY FAILED id="), boot_node_id), EL_STR(" count=")), int_to_str(next)));
+  }
+  el_val_t wb_url = env(EL_STR("ENGRAM_URL"));
+  el_val_t wb_key = env(EL_STR("ENGRAM_API_KEY"));
+  if (!str_eq(wb_url, EL_STR("")) && !str_eq(wb_key, EL_STR(""))) {
+    el_val_t auth_body = el_str_concat(el_str_concat(EL_STR("{\"_auth\":\""), json_safe(wb_key)), EL_STR("\"}"));
+    el_val_t srv_old = http_get(el_str_concat(wb_url, EL_STR("/api/search?q=soul:boot_count&limit=20")));
+    if (!str_eq(srv_old, EL_STR("")) && !str_eq(srv_old, EL_STR("[]"))) {
+      el_val_t srv_len = json_array_len(srv_old);
+      el_val_t si = 0;
+      while (si < srv_len) {
+        el_val_t srv_node = json_array_get(srv_old, si);
+        el_val_t srv_content = json_get(srv_node, EL_STR("content"));
+        if (str_starts_with(srv_content, EL_STR("soul:boot_count:"))) {
+          el_val_t srv_id = json_get(srv_node, EL_STR("id"));
+          if (!str_eq(srv_id, EL_STR(""))) {
+            http_delete_json(el_str_concat(el_str_concat(wb_url, EL_STR("/api/nodes/")), srv_id), auth_body);
+          }
+        }
+        si = (si + 1);
+      }
+    }
+    el_val_t wb_body = el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"content\":\""), content), EL_STR("\",\"node_type\":\"Memory\",\"label\":\"soul:boot_count\",\"salience\":0.55,\"importance\":0.2,\"tier\":\"Working\",\"tags\":\"[\\\"soul-meta\\\",\\\"boot-counter\\\"]\",\"_auth\":\"")), json_safe(wb_key)), EL_STR("\"}"));
+    el_val_t wb_resp = http_post_json(el_str_concat(wb_url, EL_STR("/api/nodes")), wb_body);
+    if (str_contains(wb_resp, EL_STR("\"error\""))) {
+      println(el_str_concat(EL_STR("[memory] mem_boot_count_inc: HTTP write-back failed (count in-memory only): "), wb_resp));
+    }
+  }
   return next;
   return 0;
 }
@@ -118,7 +215,11 @@ el_val_t mem_emit_state_event(el_val_t trigger, el_val_t kind, el_val_t content)
   el_val_t safe_content = str_replace(content, EL_STR("\""), EL_STR("'"));
   el_val_t payload = el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"trigger\":\""), safe_trigger), EL_STR("\"")), EL_STR(",\"kind\":\"")), kind), EL_STR("\"")), EL_STR(",\"content\":\"")), safe_content), EL_STR("\"")), EL_STR(",\"boot\":")), int_to_str(boot)), EL_STR(",\"ts\":")), int_to_str(ts)), EL_STR("}"));
   el_val_t tags = EL_STR("[\"internal-state\",\"pre-reasoning\",\"InternalStateEvent\"]");
-  return engram_node_full(payload, EL_STR("InternalStateEvent"), el_str_concat(EL_STR("state-event:"), kind), el_from_float(0.85), el_from_float(0.8), el_from_float(0.9), EL_STR("Episodic"), tags);
+  el_val_t event_id = engram_node_full(payload, EL_STR("InternalStateEvent"), el_str_concat(EL_STR("state-event:"), kind), el_from_float(0.85), el_from_float(0.8), el_from_float(0.9), EL_STR("Episodic"), tags);
+  if (str_eq(event_id, EL_STR(""))) {
+    println(el_str_concat(EL_STR("[memory] mem_emit_state_event: write rejected (empty id): kind="), kind));
+  }
+  return event_id;
   return 0;
 }
 

dist/memory.elh

@@ -1,13 +0,0 @@
-// auto-generated by elc --emit-header — do not edit
-extern fn tier_working() -> String
-extern fn tier_episodic() -> String
-extern fn tier_canonical() -> String
-extern fn mem_store(content: String, label: String, tags: String) -> String
-extern fn mem_remember(content: String, tags: String) -> String
-extern fn mem_recall(query: String, depth: Int) -> String
-extern fn mem_search(query: String, limit: Int) -> String
-extern fn mem_strengthen(node_id: String) -> Void
-extern fn mem_forget(node_id: String) -> Void
-extern fn mem_consolidate() -> String
-extern fn mem_save(path: String) -> Void
-extern fn mem_load(path: String) -> Void

dist/morphology-akk.elh

@@ -1,31 +0,0 @@
-// auto-generated by elc --emit-header — do not edit
-extern fn akk_str_ends(s: String, suf: String) -> Bool
-extern fn akk_str_len(s: String) -> Int
-extern fn akk_str_drop_last(s: String, n: Int) -> String
-extern fn akk_slot(person: String, number: String) -> Int
-extern fn akk_slot_g(person: String, gender: String, number: String) -> Int
-extern fn akk_copula_present(slot: Int) -> String
-extern fn akk_copula_stative(slot: Int) -> String
-extern fn akk_is_copula(verb: String) -> Bool
-extern fn akk_conjugate_copula(tense: String, slot: Int) -> String
-extern fn akk_alaku_present(slot: Int) -> String
-extern fn akk_alaku_perfect(slot: Int) -> String
-extern fn akk_amaru_present(slot: Int) -> String
-extern fn akk_amaru_perfect(slot: Int) -> String
-extern fn akk_amaru_stative(slot: Int) -> String
-extern fn akk_qabu_present(slot: Int) -> String
-extern fn akk_qabu_perfect(slot: Int) -> String
-extern fn akk_qabu_stative(slot: Int) -> String
-extern fn akk_epesu_present(slot: Int) -> String
-extern fn akk_epesu_perfect(slot: Int) -> String
-extern fn akk_epesu_stative(slot: Int) -> String
-extern fn akk_regular_present(stem: String, slot: Int) -> String
-extern fn akk_regular_perfect(stem: String, slot: Int) -> String
-extern fn akk_regular_stative(stem: String, slot: Int) -> String
-extern fn akk_known_verb(verb: String, tense: String, slot: Int) -> String
-extern fn akk_conjugate(verb: String, tense: String, person: String, number: String) -> String
-extern fn akk_strip_nom(noun: String) -> String
-extern fn akk_is_fem(noun: String) -> Bool
-extern fn akk_decline(noun: String, gram_case: String, number: String) -> String
-extern fn akk_noun_phrase(noun: String, gram_case: String, number: String, definite: String) -> String
-extern fn akk_map_canonical(verb: String) -> String

dist/morphology-ang.elh

@@ -1,44 +0,0 @@
-// auto-generated by elc --emit-header — do not edit
-extern fn ang_str_ends(s: String, suf: String) -> Bool
-extern fn ang_str_drop_last(s: String, n: Int) -> String
-extern fn ang_str_last_char(s: String) -> String
-extern fn ang_str_last2(s: String) -> String
-extern fn ang_slot(person: String, number: String) -> Int
-extern fn ang_map_canonical(verb: String) -> String
-extern fn ang_wesan_past(slot: Int) -> String
-extern fn ang_beon_present(slot: Int) -> String
-extern fn ang_wesan_present(slot: Int) -> String
-extern fn ang_habban_present(slot: Int) -> String
-extern fn ang_habban_past(slot: Int) -> String
-extern fn ang_gan_present(slot: Int) -> String
-extern fn ang_gan_past(slot: Int) -> String
-extern fn ang_cuman_present(slot: Int) -> String
-extern fn ang_cuman_past(slot: Int) -> String
-extern fn ang_secgan_present(slot: Int) -> String
-extern fn ang_secgan_past(slot: Int) -> String
-extern fn ang_seon_present(slot: Int) -> String
-extern fn ang_seon_past(slot: Int) -> String
-extern fn ang_don_present(slot: Int) -> String
-extern fn ang_don_past(slot: Int) -> String
-extern fn ang_willan_present(slot: Int) -> String
-extern fn ang_willan_past(slot: Int) -> String
-extern fn ang_magan_present(slot: Int) -> String
-extern fn ang_magan_past(slot: Int) -> String
-extern fn ang_witan_present(slot: Int) -> String
-extern fn ang_witan_past(slot: Int) -> String
-extern fn ang_weak_present_ending(slot: Int) -> String
-extern fn ang_weak_past_stem(stem: String) -> String
-extern fn ang_weak_past(stem: String, slot: Int) -> String
-extern fn ang_weak_stem(verb: String) -> String
-extern fn ang_conjugate(verb: String, tense: String, person: String, number: String) -> String
-extern fn ang_declension(noun: String, gender: String) -> String
-extern fn ang_decline_strong_masc(noun: String, gram_case: String, number: String) -> String
-extern fn ang_decline_strong_neut(noun: String, gram_case: String, number: String) -> String
-extern fn ang_decline_weak(noun: String, gram_case: String, number: String) -> String
-extern fn ang_decline(noun: String, gram_case: String, number: String, gender: String) -> String
-extern fn ang_article_masculine(gram_case: String, number: String) -> String
-extern fn ang_article_feminine(gram_case: String, number: String) -> String
-extern fn ang_article_neuter(gram_case: String, number: String) -> String
-extern fn ang_article(gender: String, gram_case: String, number: String) -> String
-extern fn ang_infer_gender(noun: String) -> String
-extern fn ang_noun_phrase(noun: String, gram_case: String, number: String, definite: String) -> String

dist/morphology-ar.elh

@@ -1,27 +0,0 @@
-// auto-generated by elc --emit-header — do not edit
-extern fn ar_str_ends(s: String, suf: String) -> Bool
-extern fn ar_str_len(s: String) -> Int
-extern fn ar_str_drop_last(s: String, n: Int) -> String
-extern fn ar_str_last_char(s: String) -> String
-extern fn ar_slot(person: String, gender: String, number: String) -> Int
-extern fn ar_perfect_suffix(slot: Int) -> String
-extern fn ar_imperfect_prefix(slot: Int) -> String
-extern fn ar_imperfect_suffix(slot: Int) -> String
-extern fn ar_conjugate_form1(past_base: String, present_stem: String, tense: String, slot: Int) -> String
-extern fn ar_irregular_kaana(slot: Int, tense: String) -> String
-extern fn ar_irregular_qaala(slot: Int, tense: String) -> String
-extern fn ar_irregular_jaa(slot: Int, tense: String) -> String
-extern fn ar_irregular_raaa(slot: Int, tense: String) -> String
-extern fn ar_irregular_araada(slot: Int, tense: String) -> String
-extern fn ar_irregular_istata(slot: Int, tense: String) -> String
-extern fn ar_irregular(verb: String, tense: String, slot: Int) -> String
-extern fn ar_present_stem(verb: String) -> String
-extern fn ar_conjugate(verb: String, tense: String, person: String, gender: String, number: String) -> String
-extern fn ar_is_sun_letter(c: String) -> Bool
-extern fn ar_definite_article(noun: String) -> String
-extern fn ar_case_ending(kase: String, definite: String) -> String
-extern fn ar_gender(noun: String) -> String
-extern fn ar_masc_pl_ending(kase: String) -> String
-extern fn ar_sound_plural(noun: String, gender: String) -> String
-extern fn ar_noun_form(noun: String, gender: String, kase: String, number: String, definite: String) -> String
-extern fn ar_verb_form(verb: String, tense: String, person: String, number: String) -> String

dist/morphology-cop.elh

@@ -1,35 +0,0 @@
-// auto-generated by elc --emit-header — do not edit
-extern fn cop_str_ends(s: String, suf: String) -> Bool
-extern fn cop_str_len(s: String) -> Int
-extern fn cop_drop(s: String, n: Int) -> String
-extern fn cop_last_char(s: String) -> String
-extern fn cop_slot(person: String, number: String) -> Int
-extern fn cop_subject_prefix(person: String, number: String) -> String
-extern fn cop_subject_prefix_gendered(person: String, gender: String, number: String) -> String
-extern fn cop_copula_particle(gender: String, number: String) -> String
-extern fn cop_shwpe_present(prefix: String) -> String
-extern fn cop_shwpe_perfect(prefix: String) -> String
-extern fn cop_shwpe_future(prefix: String) -> String
-extern fn cop_bwk_present(prefix: String) -> String
-extern fn cop_bwk_perfect(prefix: String) -> String
-extern fn cop_bwk_future(prefix: String) -> String
-extern fn cop_nau_present(prefix: String) -> String
-extern fn cop_nau_perfect(prefix: String) -> String
-extern fn cop_nau_future(prefix: String) -> String
-extern fn cop_jw_present(prefix: String) -> String
-extern fn cop_jw_perfect(prefix: String) -> String
-extern fn cop_jw_future(prefix: String) -> String
-extern fn cop_di_present(prefix: String) -> String
-extern fn cop_di_perfect(prefix: String) -> String
-extern fn cop_di_future(prefix: String) -> String
-extern fn cop_is_copula(verb: String) -> Bool
-extern fn cop_known_verb_prefixed(verb: String, tense: String, prefix: String) -> String
-extern fn cop_regular_present(prefix: String, stem: String) -> String
-extern fn cop_regular_perfect(prefix: String, stem: String) -> String
-extern fn cop_regular_future(prefix: String, stem: String) -> String
-extern fn cop_conjugate(verb: String, tense: String, person: String, number: String) -> String
-extern fn cop_article(gender: String, number: String, definite: String) -> String
-extern fn cop_decline(noun: String, gram_case: String, number: String) -> String
-extern fn cop_noun_phrase(noun: String, gram_case: String, number: String, definite: String) -> String
-extern fn cop_noun_phrase_gendered(noun: String, gram_case: String, number: String, definite: String, gender: String) -> String
-extern fn cop_map_canonical(verb: String) -> String

dist/morphology-de.elh

@@ -1,13 +0,0 @@
-// auto-generated by elc --emit-header — do not edit
-extern fn de_article_def(gender: String, gram_case: String, number: String) -> String
-extern fn de_article_indef(gender: String, gram_case: String, number: String) -> String
-extern fn de_article(gender: String, gram_case: String, number: String, definite: String) -> String
-extern fn de_adj_ending(gender: String, gram_case: String, number: String, article_type: String) -> String
-extern fn de_noun_plural(noun: String, gender: String) -> String
-extern fn de_case_ending(noun: String, gender: String, gram_case: String, number: String) -> String
-extern fn de_conjugate_weak(stem: String, tense: String, person: String, number: String) -> String
-extern fn de_irregular_present(verb: String, person: String, number: String) -> String
-extern fn de_strong_past_stem(verb: String) -> String
-extern fn de_norm_number(number: String) -> String
-extern fn de_norm_person(person: String) -> String
-extern fn de_conjugate(verb: String, tense: String, person: String, number: String) -> String

dist/morphology-egy.elh

@@ -1,38 +0,0 @@
-// auto-generated by elc --emit-header — do not edit
-extern fn egy_str_ends(s: String, suf: String) -> Bool
-extern fn egy_str_len(s: String) -> Int
-extern fn egy_drop(s: String, n: Int) -> String
-extern fn egy_last_char(s: String) -> String
-extern fn egy_slot(person: String, number: String) -> Int
-extern fn egy_slot_with_gender(person: String, gender: String, number: String) -> Int
-extern fn egy_conjugate_pronoun(person: String, number: String) -> String
-extern fn egy_suffix_pronoun(slot: Int) -> String
-extern fn egy_is_copula(verb: String) -> Bool
-extern fn egy_conjugate_copula(tense: String, slot: Int) -> String
-extern fn egy_rdi_present(slot: Int) -> String
-extern fn egy_rdi_past(slot: Int) -> String
-extern fn egy_rdi_future(slot: Int) -> String
-extern fn egy_mAA_present(slot: Int) -> String
-extern fn egy_mAA_past(slot: Int) -> String
-extern fn egy_mAA_future(slot: Int) -> String
-extern fn egy_Dd_present(slot: Int) -> String
-extern fn egy_Dd_past(slot: Int) -> String
-extern fn egy_Dd_future(slot: Int) -> String
-extern fn egy_Sm_present(slot: Int) -> String
-extern fn egy_Sm_past(slot: Int) -> String
-extern fn egy_Sm_future(slot: Int) -> String
-extern fn egy_iri_present(slot: Int) -> String
-extern fn egy_iri_past(slot: Int) -> String
-extern fn egy_iri_future(slot: Int) -> String
-extern fn egy_sdm_present(slot: Int) -> String
-extern fn egy_sdm_past(slot: Int) -> String
-extern fn egy_sdm_future(slot: Int) -> String
-extern fn egy_known_verb(verb: String, tense: String, slot: Int) -> String
-extern fn egy_regular_present(stem: String, slot: Int) -> String
-extern fn egy_regular_past(stem: String, slot: Int) -> String
-extern fn egy_regular_future(stem: String, slot: Int) -> String
-extern fn egy_conjugate(verb: String, tense: String, person: String, number: String) -> String
-extern fn egy_decline(noun: String, gram_case: String, number: String) -> String
-extern fn egy_fem(noun: String) -> String
-extern fn egy_noun_phrase(noun: String, gram_case: String, number: String, definite: String) -> String
-extern fn egy_map_canonical(verb: String) -> String

dist/morphology-enm.elh

@@ -1,30 +0,0 @@
-// auto-generated by elc --emit-header — do not edit
-extern fn enm_str_ends(s: String, suf: String) -> Bool
-extern fn enm_drop(s: String, n: Int) -> String
-extern fn enm_first_char(s: String) -> String
-extern fn enm_slot(person: String, number: String) -> Int
-extern fn enm_been_present(slot: Int) -> String
-extern fn enm_been_past(slot: Int) -> String
-extern fn enm_haven_present(slot: Int) -> String
-extern fn enm_haven_past(slot: Int) -> String
-extern fn enm_goon_present(slot: Int) -> String
-extern fn enm_goon_past(slot: Int) -> String
-extern fn enm_seen_present(slot: Int) -> String
-extern fn enm_seen_past(slot: Int) -> String
-extern fn enm_seyen_present(slot: Int) -> String
-extern fn enm_seyen_past(slot: Int) -> String
-extern fn enm_comen_present(slot: Int) -> String
-extern fn enm_comen_past(slot: Int) -> String
-extern fn enm_maken_present(slot: Int) -> String
-extern fn enm_maken_past(slot: Int) -> String
-extern fn enm_map_canonical(verb: String) -> String
-extern fn enm_weak_stem(verb: String) -> String
-extern fn enm_weak_present(stem: String, slot: Int) -> String
-extern fn enm_weak_past(stem: String, slot: Int) -> String
-extern fn enm_conjugate(verb: String, tense: String, person: String, number: String) -> String
-extern fn enm_irregular_plural(noun: String) -> String
-extern fn enm_make_plural(noun: String) -> String
-extern fn enm_decline(noun: String, gram_case: String, number: String) -> String
-extern fn enm_is_vowel_initial(s: String) -> Bool
-extern fn enm_indef_article(noun_phrase: String) -> String
-extern fn enm_noun_phrase(noun: String, gram_case: String, number: String, definite: String) -> String

dist/morphology-es.elh

@@ -1,23 +0,0 @@
-// auto-generated by elc --emit-header — do not edit
-extern fn es_str_ends(s: String, suf: String) -> Bool
-extern fn es_str_drop_last(s: String, n: Int) -> String
-extern fn es_str_last_char(s: String) -> String
-extern fn es_str_last2(s: String) -> String
-extern fn es_str_last3(s: String) -> String
-extern fn es_verb_class(base: String) -> String
-extern fn es_stem(base: String) -> String
-extern fn es_slot(person: String, number: String) -> Int
-extern fn es_irregular_present(verb: String, person: String, number: String) -> String
-extern fn es_irregular_preterite(verb: String, person: String, number: String) -> String
-extern fn es_irregular_imperfect(verb: String, person: String, number: String) -> String
-extern fn es_regular_present(stem: String, vclass: String, slot: Int) -> String
-extern fn es_regular_preterite(stem: String, vclass: String, slot: Int) -> String
-extern fn es_regular_future(base: String, slot: Int) -> String
-extern fn es_irregular_future_stem(verb: String) -> String
-extern fn es_regular_imperfect(stem: String, vclass: String, slot: Int) -> String
-extern fn es_conjugate(verb: String, tense: String, person: String, number: String) -> String
-extern fn es_gender(noun: String) -> String
-extern fn es_invariant_plural(noun: String) -> String
-extern fn es_pluralize(noun: String) -> String
-extern fn es_starts_with_stressed_a(noun: String) -> Bool
-extern fn es_agree_article(noun: String, definite: String, number: String) -> String

dist/morphology-fi.elh

@@ -1,17 +0,0 @@
-// auto-generated by elc --emit-header — do not edit
-extern fn fi_harmony(word: String) -> String
-extern fn fi_suffix(base: String, harmony: String) -> String
-extern fn fi_noun_case(stem: String, gram_case: String, number: String, harmony: String) -> String
-extern fn fi_str_last_char(s: String) -> String
-extern fn fi_apply_case(noun: String, gram_case: String, number: String) -> String
-extern fn fi_verb_stem(dict_form: String) -> String
-extern fn fi_irregular_verb(dict_form: String) -> [String]
-extern fn fi_present_ending(stem: String, person: String, number: String, harmony: String) -> String
-extern fn fi_past_stem(stem: String) -> String
-extern fn fi_past_ending(stem: String, person: String, number: String, harmony: String) -> String
-extern fn fi_neg_aux(person: String, number: String) -> String
-extern fn fi_negative(verb: String, person: String, number: String) -> String
-extern fn fi_conjugate(verb: String, tense: String, person: String, number: String) -> String
-extern fn fi_question_suffix(harmony: String) -> String
-extern fn fi_make_question(verb_form: String, harmony: String) -> String
-extern fn fi_full_paradigm(noun: String) -> [String]

dist/morphology-fr.elh

@@ -1,29 +0,0 @@
-// auto-generated by elc --emit-header — do not edit
-extern fn fr_str_ends(s: String, suf: String) -> Bool
-extern fn fr_str_drop_last(s: String, n: Int) -> String
-extern fn fr_str_last_char(s: String) -> String
-extern fn fr_str_last2(s: String) -> String
-extern fn fr_is_vowel_start(s: String) -> Bool
-extern fn fr_is_known_irregular(verb: String) -> Bool
-extern fn fr_verb_group(base: String) -> String
-extern fn fr_stem(base: String) -> String
-extern fn fr_slot(person: String, number: String) -> Int
-extern fn fr_irregular_present(verb: String, person: String, number: String) -> String
-extern fn fr_regular_present(stem: String, vgroup: String, slot: Int) -> String
-extern fn fr_future_stem(base: String, vgroup: String) -> String
-extern fn fr_regular_future(fstem: String, slot: Int) -> String
-extern fn fr_irregular_future_stem(verb: String) -> String
-extern fn fr_imperfect_stem(base: String, vgroup: String) -> String
-extern fn fr_regular_imperfect(istem: String, slot: Int) -> String
-extern fn fr_uses_etre(verb: String) -> Bool
-extern fn fr_past_participle(verb: String) -> String
-extern fn fr_avoir_present(slot: Int) -> String
-extern fn fr_etre_present(slot: Int) -> String
-extern fn fr_conjugate(verb: String, tense: String, person: String, number: String) -> String
-extern fn fr_gender(noun: String) -> String
-extern fn fr_invariant_plural(noun: String) -> String
-extern fn fr_pluralize(noun: String) -> String
-extern fn fr_agree_article(noun: String, definite: String, number: String) -> String
-extern fn fr_subject_starts_vowel(subject: String) -> Bool
-extern fn fr_verb_ends_vowel(verb_form: String) -> Bool
-extern fn fr_question_inversion(subject: String, verb_form: String) -> String

dist/morphology-fro.elh

@@ -1,38 +0,0 @@
-// auto-generated by elc --emit-header — do not edit
-extern fn fro_str_ends(s: String, suf: String) -> Bool
-extern fn fro_drop(s: String, n: Int) -> String
-extern fn fro_slot(person: String, number: String) -> Int
-extern fn fro_map_canonical(verb: String) -> String
-extern fn fro_estre_present(slot: Int) -> String
-extern fn fro_estre_past(slot: Int) -> String
-extern fn fro_estre_future(slot: Int) -> String
-extern fn fro_avoir_present(slot: Int) -> String
-extern fn fro_avoir_past(slot: Int) -> String
-extern fn fro_avoir_future(slot: Int) -> String
-extern fn fro_aler_present(slot: Int) -> String
-extern fn fro_aler_past(slot: Int) -> String
-extern fn fro_aler_future(slot: Int) -> String
-extern fn fro_venir_present(slot: Int) -> String
-extern fn fro_venir_past(slot: Int) -> String
-extern fn fro_venir_future(slot: Int) -> String
-extern fn fro_faire_present(slot: Int) -> String
-extern fn fro_faire_past(slot: Int) -> String
-extern fn fro_faire_future(slot: Int) -> String
-extern fn fro_verb_class(verb: String) -> String
-extern fn fro_verb_stem(verb: String, vclass: String) -> String
-extern fn fro_conj1_present(stem: String, slot: Int) -> String
-extern fn fro_conj1_past(stem: String, slot: Int) -> String
-extern fn fro_conj1_future(verb: String, slot: Int) -> String
-extern fn fro_conj2_present(stem: String, slot: Int) -> String
-extern fn fro_conj2_past(stem: String, slot: Int) -> String
-extern fn fro_conj2_future(verb: String, slot: Int) -> String
-extern fn fro_conj3_present(stem: String, slot: Int) -> String
-extern fn fro_conj3_past(stem: String, slot: Int) -> String
-extern fn fro_conj3_future(verb: String, slot: Int) -> String
-extern fn fro_conjugate(verb: String, tense: String, person: String, number: String) -> String
-extern fn fro_gender(noun: String) -> String
-extern fn fro_decline_masc(noun: String, gram_case: String, number: String) -> String
-extern fn fro_decline_fem(noun: String, number: String) -> String
-extern fn fro_decline(noun: String, gram_case: String, number: String) -> String
-extern fn fro_article(gender: String, gram_case: String, number: String) -> String
-extern fn fro_noun_phrase(noun: String, gram_case: String, number: String, definite: String) -> String

dist/morphology-gez.elh

@@ -1,26 +0,0 @@
-// auto-generated by elc --emit-header — do not edit
-extern fn gez_str_ends(s: String, suf: String) -> Bool
-extern fn gez_str_len(s: String) -> Int
-extern fn gez_str_drop_last(s: String, n: Int) -> String
-extern fn gez_slot(person: String, number: String) -> Int
-extern fn gez_slot_g(person: String, gender: String, number: String) -> Int
-extern fn gez_kwn_perfect(slot: Int) -> String
-extern fn gez_kwn_imperfect(slot: Int) -> String
-extern fn gez_is_copula(verb: String) -> Bool
-extern fn gez_conjugate_copula(tense: String, slot: Int) -> String
-extern fn gez_hlw_perfect(slot: Int) -> String
-extern fn gez_hlw_imperfect(slot: Int) -> String
-extern fn gez_hbl_perfect(slot: Int) -> String
-extern fn gez_hbl_imperfect(slot: Int) -> String
-extern fn gez_ray_perfect(slot: Int) -> String
-extern fn gez_ray_imperfect(slot: Int) -> String
-extern fn gez_qwl_perfect(slot: Int) -> String
-extern fn gez_qwl_imperfect(slot: Int) -> String
-extern fn gez_generic_perfect(base3sg: String, slot: Int) -> String
-extern fn gez_generic_imperfect(base3sg: String, slot: Int) -> String
-extern fn gez_known_verb(verb: String, tense: String, slot: Int) -> String
-extern fn gez_conjugate(verb: String, tense: String, person: String, number: String) -> String
-extern fn gez_is_fidel(noun: String) -> Bool
-extern fn gez_decline(noun: String, gram_case: String, number: String) -> String
-extern fn gez_noun_phrase(noun: String, gram_case: String, number: String, definite: String) -> String
-extern fn gez_map_canonical(verb: String) -> String

dist/morphology-goh.elh

@@ -1,34 +0,0 @@
-// auto-generated by elc --emit-header — do not edit
-extern fn goh_str_ends(s: String, suf: String) -> Bool
-extern fn goh_drop(s: String, n: Int) -> String
-extern fn goh_slot(person: String, number: String) -> Int
-extern fn goh_map_canonical(verb: String) -> String
-extern fn goh_wesan_present(slot: Int) -> String
-extern fn goh_wesan_past(slot: Int) -> String
-extern fn goh_haben_present(slot: Int) -> String
-extern fn goh_haben_past(slot: Int) -> String
-extern fn goh_gan_present(slot: Int) -> String
-extern fn goh_gan_past(slot: Int) -> String
-extern fn goh_sehan_present(slot: Int) -> String
-extern fn goh_sehan_past(slot: Int) -> String
-extern fn goh_quethan_present(slot: Int) -> String
-extern fn goh_quethan_past(slot: Int) -> String
-extern fn goh_tuon_present(slot: Int) -> String
-extern fn goh_tuon_past(slot: Int) -> String
-extern fn goh_weak_present(stem: String, slot: Int) -> String
-extern fn goh_weak_past(stem: String, slot: Int) -> String
-extern fn goh_verb_stem(verb: String) -> String
-extern fn goh_conjugate(verb: String, tense: String, person: String, number: String) -> String
-extern fn goh_stem_type(noun: String) -> String
-extern fn goh_extract_stem(noun: String, stype: String) -> String
-extern fn goh_decline_masc_a_sg(stem: String, gram_case: String) -> String
-extern fn goh_decline_masc_a_pl(stem: String, gram_case: String) -> String
-extern fn goh_decline_fem_o_sg(stem: String, gram_case: String) -> String
-extern fn goh_decline_fem_o_pl(stem: String, gram_case: String) -> String
-extern fn goh_decline_neut_a_sg(stem: String, gram_case: String) -> String
-extern fn goh_decline_neut_a_pl(stem: String, gram_case: String) -> String
-extern fn goh_decline_masc_n_sg(stem: String, gram_case: String) -> String
-extern fn goh_decline_masc_n_pl(stem: String, gram_case: String) -> String
-extern fn goh_decline(noun: String, gram_case: String, number: String) -> String
-extern fn goh_demo_article(stype: String, number: String) -> String
-extern fn goh_noun_phrase(noun: String, gram_case: String, number: String, definite: String) -> String

dist/morphology-got.elh

@@ -1,37 +0,0 @@
-// auto-generated by elc --emit-header — do not edit
-extern fn got_str_ends(s: String, suf: String) -> Bool
-extern fn got_str_drop_last(s: String, n: Int) -> String
-extern fn got_slot(person: String, number: String) -> Int
-extern fn got_map_canonical(verb: String) -> String
-extern fn got_wisan_present(slot: Int) -> String
-extern fn got_wisan_past(slot: Int) -> String
-extern fn got_haban_present(slot: Int) -> String
-extern fn got_haban_past(slot: Int) -> String
-extern fn got_gaggan_present(slot: Int) -> String
-extern fn got_gaggan_past(slot: Int) -> String
-extern fn got_saihwan_present(slot: Int) -> String
-extern fn got_saihwan_past(slot: Int) -> String
-extern fn got_qithan_present(slot: Int) -> String
-extern fn got_qithan_past(slot: Int) -> String
-extern fn got_niman_present(slot: Int) -> String
-extern fn got_niman_past(slot: Int) -> String
-extern fn got_wk1_present_ending(slot: Int) -> String
-extern fn got_wk1_past_ending(slot: Int) -> String
-extern fn got_wk1_conjugate(stem: String, tense: String, slot: Int) -> String
-extern fn got_wk2_present_ending(slot: Int) -> String
-extern fn got_wk2_past_ending(slot: Int) -> String
-extern fn got_wk2_conjugate(stem: String, tense: String, slot: Int) -> String
-extern fn got_verb_class(verb: String) -> String
-extern fn got_verb_stem(verb: String, vclass: String) -> String
-extern fn got_conjugate(verb: String, tense: String, person: String, number: String) -> String
-extern fn got_decline_a_stem_sg(stem: String, gram_case: String) -> String
-extern fn got_decline_a_stem_pl(stem: String, gram_case: String) -> String
-extern fn got_decline_o_stem_sg(stem: String, gram_case: String) -> String
-extern fn got_decline_o_stem_pl(stem: String, gram_case: String) -> String
-extern fn got_decline_n_stem_sg(stem: String, gram_case: String) -> String
-extern fn got_decline_n_stem_pl(stem: String, gram_case: String) -> String
-extern fn got_stem_type(noun: String) -> String
-extern fn got_extract_stem(noun: String, stype: String) -> String
-extern fn got_demo_article(stype: String) -> String
-extern fn got_decline(noun: String, gram_case: String, number: String) -> String
-extern fn got_noun_phrase(noun: String, gram_case: String, number: String, definite: String) -> String

dist/morphology-grc.elh

@@ -1,45 +0,0 @@
-// auto-generated by elc --emit-header — do not edit
-extern fn grc_str_ends(s: String, suf: String) -> Bool
-extern fn grc_str_drop_last(s: String, n: Int) -> String
-extern fn grc_str_last_char(s: String) -> String
-extern fn grc_str_last2(s: String) -> String
-extern fn grc_str_last3(s: String) -> String
-extern fn grc_slot(person: String, number: String) -> Int
-extern fn grc_map_canonical(verb: String) -> String
-extern fn grc_einai_present(slot: Int) -> String
-extern fn grc_einai_imperfect(slot: Int) -> String
-extern fn grc_einai_future(slot: Int) -> String
-extern fn grc_echein_present(slot: Int) -> String
-extern fn grc_echein_imperfect(slot: Int) -> String
-extern fn grc_echein_aorist(slot: Int) -> String
-extern fn grc_echein_future(slot: Int) -> String
-extern fn grc_legein_present(slot: Int) -> String
-extern fn grc_legein_imperfect(slot: Int) -> String
-extern fn grc_legein_aorist(slot: Int) -> String
-extern fn grc_legein_future(slot: Int) -> String
-extern fn grc_horao_present(slot: Int) -> String
-extern fn grc_horao_imperfect(slot: Int) -> String
-extern fn grc_horao_aorist(slot: Int) -> String
-extern fn grc_horao_future(slot: Int) -> String
-extern fn grc_erchesthai_present(slot: Int) -> String
-extern fn grc_erchesthai_imperfect(slot: Int) -> String
-extern fn grc_erchesthai_aorist(slot: Int) -> String
-extern fn grc_erchesthai_future(slot: Int) -> String
-extern fn grc_thematic_present_ending(slot: Int) -> String
-extern fn grc_thematic_imperfect_ending(slot: Int) -> String
-extern fn grc_thematic_future_ending(slot: Int) -> String
-extern fn grc_weak_aorist_ending(slot: Int) -> String
-extern fn grc_present_stem(verb: String) -> String
-extern fn grc_conjugate(verb: String, tense: String, person: String, number: String) -> String
-extern fn grc_declension(noun: String) -> String
-extern fn grc_decline_2m(stem: String, gram_case: String, number: String) -> String
-extern fn grc_decline_2n(stem: String, gram_case: String, number: String) -> String
-extern fn grc_decline_1a(stem: String, gram_case: String, number: String) -> String
-extern fn grc_decline_1e(stem: String, gram_case: String, number: String) -> String
-extern fn grc_decline(noun: String, gram_case: String, number: String) -> String
-extern fn grc_article_masculine(gram_case: String, number: String) -> String
-extern fn grc_article_feminine(gram_case: String, number: String) -> String
-extern fn grc_article_neuter(gram_case: String, number: String) -> String
-extern fn grc_article(gender: String, gram_case: String, number: String) -> String
-extern fn grc_infer_gender(noun: String) -> String
-extern fn grc_noun_phrase(noun: String, gram_case: String, number: String, definite: String) -> String

dist/morphology-he.elh

@@ -1,30 +0,0 @@
-// auto-generated by elc --emit-header — do not edit
-extern fn he_str_ends(s: String, suf: String) -> Bool
-extern fn he_str_len(s: String) -> Int
-extern fn he_str_drop_last(s: String, n: Int) -> String
-extern fn he_str_last_char(s: String) -> String
-extern fn he_slot(person: String, gender: String, number: String) -> Int
-extern fn he_present_form_code(slot: Int) -> Int
-extern fn he_copula_past(slot: Int) -> String
-extern fn he_copula_future(slot: Int) -> String
-extern fn he_is_copula(verb: String) -> Bool
-extern fn he_conjugate_copula(tense: String, slot: Int) -> String
-extern fn he_present_lir_ot(form: Int) -> String
-extern fn he_present_le_exol(form: Int) -> String
-extern fn he_present_ledaber(form: Int) -> String
-extern fn he_present_lalechet(form: Int) -> String
-extern fn he_past_lir_ot(slot: Int) -> String
-extern fn he_past_le_exol(slot: Int) -> String
-extern fn he_past_ledaber(slot: Int) -> String
-extern fn he_past_lalechet(slot: Int) -> String
-extern fn he_future_lir_ot(slot: Int) -> String
-extern fn he_future_le_exol(slot: Int) -> String
-extern fn he_future_ledaber(slot: Int) -> String
-extern fn he_future_lalechet(slot: Int) -> String
-extern fn he_known_verb(verb: String, tense: String, slot: Int) -> String
-extern fn he_conjugate(verb: String, tense: String, person: String, gender: String, number: String) -> String
-extern fn he_pluralize(noun: String, gender: String) -> String
-extern fn he_is_hebrew_script(noun: String) -> Bool
-extern fn he_definite_prefix(noun: String) -> String
-extern fn he_noun_phrase(noun: String, number: String, gender: String, definite: String) -> String
-extern fn he_map_canonical(verb: String) -> String

dist/morphology-hi.elh

@@ -1,27 +0,0 @@
-// auto-generated by elc --emit-header — do not edit
-extern fn hi_str_ends(s: String, suf: String) -> Bool
-extern fn hi_str_drop_last(s: String, n: Int) -> String
-extern fn hi_str_last_char(s: String) -> String
-extern fn hi_gender(noun: String) -> String
-extern fn hi_masc_aa_stem(noun: String) -> String
-extern fn hi_noun_direct_m(noun: String, number: String) -> String
-extern fn hi_noun_oblique_m(noun: String, number: String) -> String
-extern fn hi_noun_direct_f(noun: String, number: String) -> String
-extern fn hi_noun_oblique_f(noun: String, number: String) -> String
-extern fn hi_noun_direct(noun: String, gender: String, number: String) -> String
-extern fn hi_noun_oblique(noun: String, gender: String, number: String) -> String
-extern fn hi_postposition(gram_case: String) -> String
-extern fn hi_agree_genitive(possessed_gender: String, possessed_number: String) -> String
-extern fn hi_verb_stem(infinitive: String) -> String
-extern fn hi_verb_stem_clean(infinitive: String) -> String
-extern fn hi_present_aspect(gender: String, number: String) -> String
-extern fn hi_aux_present(person: String, number: String) -> String
-extern fn hi_past_suffix(gender: String, number: String) -> String
-extern fn hi_past_irregular(stem: String, gender: String, number: String) -> String
-extern fn hi_future_suffix(person: String, number: String, gender: String) -> String
-extern fn hi_tense_suffix(tense: String, gender: String, number: String) -> String
-extern fn hi_hona_present(person: String, number: String) -> String
-extern fn hi_hona_past(gender: String, number: String) -> String
-extern fn hi_conjugate(verb: String, tense: String, person: String, gender: String, number: String) -> String
-extern fn hi_noun_with_post(noun: String, gender: String, number: String, gram_case: String) -> String
-extern fn hi_genitive_phrase(possessor: String, possessor_gender: String, possessor_number: String, possessed: String, possessed_gender: String, possessed_number: String) -> String

dist/morphology-ja.elh

@@ -1,9 +0,0 @@
-// auto-generated by elc --emit-header — do not edit
-extern fn ja_verb_group(dict_form: String) -> String
-extern fn ja_ichidan_stem(dict_form: String) -> String
-extern fn ja_godan_stem_change(dict_form: String, row: String) -> String
-extern fn ja_conjugate(dict_form: String, form: String) -> String
-extern fn ja_particle(gram_case: String) -> String
-extern fn ja_noun_phrase(noun: String, gram_case: String) -> String
-extern fn ja_question_particle() -> String
-extern fn ja_make_question(sentence: String) -> String

dist/morphology-la.elh

@@ -1,41 +0,0 @@
-// auto-generated by elc --emit-header — do not edit
-extern fn la_str_ends(s: String, suf: String) -> Bool
-extern fn la_str_drop_last(s: String, n: Int) -> String
-extern fn la_str_last_char(s: String) -> String
-extern fn la_str_last2(s: String) -> String
-extern fn la_str_last3(s: String) -> String
-extern fn la_slot(person: String, number: String) -> Int
-extern fn la_verb_class(verb: String) -> String
-extern fn la_stem(verb: String, vclass: String) -> String
-extern fn la_perfect_stem(verb: String, vclass: String) -> String
-extern fn la_perfect_ending(slot: Int) -> String
-extern fn la_present_ending(vclass: String, slot: Int) -> String
-extern fn la_present_form(stem: String, vclass: String, slot: Int) -> String
-extern fn la_future_ending_12(slot: Int) -> String
-extern fn la_future_ending_34(slot: Int) -> String
-extern fn la_future_form(stem: String, vclass: String, slot: Int) -> String
-extern fn la_esse_present(slot: Int) -> String
-extern fn la_esse_past(slot: Int) -> String
-extern fn la_esse_future(slot: Int) -> String
-extern fn la_ire_present(slot: Int) -> String
-extern fn la_ire_past(slot: Int) -> String
-extern fn la_ire_future(slot: Int) -> String
-extern fn la_velle_present(slot: Int) -> String
-extern fn la_velle_past(slot: Int) -> String
-extern fn la_velle_future(slot: Int) -> String
-extern fn la_posse_present(slot: Int) -> String
-extern fn la_posse_past(slot: Int) -> String
-extern fn la_posse_future(slot: Int) -> String
-extern fn la_irregular_perfect_stem(verb: String) -> String
-extern fn la_map_canonical(verb: String) -> String
-extern fn la_conjugate(verb: String, tense: String, person: String, number: String) -> String
-extern fn la_declension(noun: String) -> String
-extern fn la_decline_1(stem: String, gram_case: String, number: String) -> String
-extern fn la_decline_2m(stem: String, gram_case: String, number: String) -> String
-extern fn la_decline_2n(stem: String, gram_case: String, number: String) -> String
-extern fn la_decline_3(noun: String, gram_case: String, number: String) -> String
-extern fn la_decline_4(stem: String, gram_case: String, number: String) -> String
-extern fn la_decline_5(stem: String, gram_case: String, number: String) -> String
-extern fn la_decline_2er(noun: String, gram_case: String, number: String) -> String
-extern fn la_decline(noun: String, gram_case: String, number: String) -> String
-extern fn la_noun_phrase(noun: String, gram_case: String, number: String, definite: String) -> String

dist/morphology-non.elh

@@ -1,30 +0,0 @@
-// auto-generated by elc --emit-header — do not edit
-extern fn non_str_ends(s: String, suf: String) -> Bool
-extern fn non_drop(s: String, n: Int) -> String
-extern fn non_last(s: String) -> String
-extern fn non_slot(person: String, number: String) -> Int
-extern fn non_vera_present(slot: Int) -> String
-extern fn non_vera_past(slot: Int) -> String
-extern fn non_hafa_present(slot: Int) -> String
-extern fn non_hafa_past(slot: Int) -> String
-extern fn non_ganga_present(slot: Int) -> String
-extern fn non_ganga_past(slot: Int) -> String
-extern fn non_sja_present(slot: Int) -> String
-extern fn non_sja_past(slot: Int) -> String
-extern fn non_segja_present(slot: Int) -> String
-extern fn non_segja_past(slot: Int) -> String
-extern fn non_koma_present(slot: Int) -> String
-extern fn non_koma_past(slot: Int) -> String
-extern fn non_map_canonical(verb: String) -> String
-extern fn non_weak_present(stem: String, slot: Int) -> String
-extern fn non_weak_past(stem: String, slot: Int) -> String
-extern fn non_conjugate(verb: String, tense: String, person: String, number: String) -> String
-extern fn non_decline_masc(noun: String, gram_case: String, number: String) -> String
-extern fn non_decline_fem(noun: String, gram_case: String, number: String) -> String
-extern fn non_decline_neut(noun: String, gram_case: String, number: String) -> String
-extern fn non_detect_gender(noun: String) -> String
-extern fn non_decline(noun: String, gram_case: String, number: String) -> String
-extern fn non_def_suffix_masc(gram_case: String, number: String) -> String
-extern fn non_def_suffix_neut(gram_case: String, number: String) -> String
-extern fn non_def_suffix_fem(gram_case: String, number: String) -> String
-extern fn non_noun_phrase(noun: String, gram_case: String, number: String, definite: String) -> String

dist/morphology-peo.elh

@@ -1,19 +0,0 @@
-// auto-generated by elc --emit-header — do not edit
-extern fn peo_drop(s: String, n: Int) -> String
-extern fn peo_ends(s: String, suf: String) -> Bool
-extern fn peo_slot(person: String, number: String) -> Int
-extern fn peo_present_suffix(slot: Int) -> String
-extern fn peo_past_suffix(slot: Int) -> String
-extern fn peo_ah_present(slot: Int) -> String
-extern fn peo_ah_past(slot: Int) -> String
-extern fn peo_kar_present(slot: Int) -> String
-extern fn peo_kar_past(slot: Int) -> String
-extern fn peo_xsaya_present(slot: Int) -> String
-extern fn peo_tar_present(slot: Int) -> String
-extern fn peo_da_present(slot: Int) -> String
-extern fn peo_da_past(slot: Int) -> String
-extern fn peo_map_canonical(verb: String) -> String
-extern fn peo_conjugate(verb: String, tense: String, person: String, number: String) -> String
-extern fn peo_decline_astem(noun: String, gram_case: String, number: String) -> String
-extern fn peo_decline(noun: String, gram_case: String, number: String) -> String
-extern fn peo_noun_phrase(noun: String, gram_case: String, number: String, definite: String) -> String

dist/morphology-pi.elh

@@ -1,34 +0,0 @@
-// auto-generated by elc --emit-header — do not edit
-extern fn pi_str_ends(s: String, suf: String) -> Bool
-extern fn pi_drop(s: String, n: Int) -> String
-extern fn pi_last_char(s: String) -> String
-extern fn pi_slot(person: String, number: String) -> Int
-extern fn pi_present_ending(slot: Int) -> String
-extern fn pi_aorist_ending(slot: Int) -> String
-extern fn pi_future_ending(slot: Int) -> String
-extern fn pi_hoti_present(slot: Int) -> String
-extern fn pi_atthi_present(slot: Int) -> String
-extern fn pi_hoti_aorist(slot: Int) -> String
-extern fn pi_hoti_future(slot: Int) -> String
-extern fn pi_gacchati_present(slot: Int) -> String
-extern fn pi_gacchati_aorist(slot: Int) -> String
-extern fn pi_gacchati_future(slot: Int) -> String
-extern fn pi_passati_present(slot: Int) -> String
-extern fn pi_passati_aorist(slot: Int) -> String
-extern fn pi_passati_future(slot: Int) -> String
-extern fn pi_vadati_present(slot: Int) -> String
-extern fn pi_vadati_aorist(slot: Int) -> String
-extern fn pi_vadati_future(slot: Int) -> String
-extern fn pi_karoti_present(slot: Int) -> String
-extern fn pi_karoti_aorist(slot: Int) -> String
-extern fn pi_karoti_future(slot: Int) -> String
-extern fn pi_map_canonical(verb: String) -> String
-extern fn pi_regular_root(verb: String) -> String
-extern fn pi_conjugate(verb: String, tense: String, person: String, number: String) -> String
-extern fn pi_decline_a_masc_sg(stem: String, gram_case: String) -> String
-extern fn pi_decline_a_masc_pl(stem: String, gram_case: String) -> String
-extern fn pi_decline_a_fem_sg(stem: String, gram_case: String) -> String
-extern fn pi_decline_a_fem_pl(stem: String, gram_case: String) -> String
-extern fn pi_detect_class(noun: String) -> String
-extern fn pi_decline(noun: String, gram_case: String, number: String) -> String
-extern fn pi_noun_phrase(noun: String, gram_case: String, number: String, definite: String) -> String

dist/morphology-ru.elh

@@ -1,14 +0,0 @@
-// auto-generated by elc --emit-header — do not edit
-extern fn ru_gender(noun: String) -> String
-extern fn ru_stem_type(noun: String, gender: String) -> String
-extern fn ru_noun_case(noun: String, gender: String, gram_case: String, number: String) -> String
-extern fn ru_decline_regular(noun: String, gender: String, stype: String, gram_case: String, number: String) -> String
-extern fn ru_decline_masc(noun: String, stype: String, gram_case: String, number: String) -> String
-extern fn ru_decline_fem(noun: String, stype: String, gram_case: String, number: String) -> String
-extern fn ru_decline_neut(noun: String, stype: String, gram_case: String, number: String) -> String
-extern fn ru_past_agree(verb_stem: String, gender: String, number: String) -> String
-extern fn ru_conjugate_1st(stem: String, tense: String, person: String, number: String) -> String
-extern fn ru_conjugate_2nd(stem: String, tense: String, person: String, number: String) -> String
-extern fn ru_irregular(verb: String, tense: String, person: String, number: String) -> String
-extern fn ru_past_stem(verb: String) -> String
-extern fn ru_conjugate(verb: String, tense: String, person: String, number: String, gender: String) -> String

dist/morphology-sa.elh

@@ -1,36 +0,0 @@
-// auto-generated by elc --emit-header — do not edit
-extern fn sa_str_ends(s: String, suf: String) -> Bool
-extern fn sa_str_drop_last(s: String, n: Int) -> String
-extern fn sa_slot(person: String, number: String) -> Int
-extern fn sa_map_canonical(verb: String) -> String
-extern fn sa_as_present(slot: Int) -> String
-extern fn sa_as_past(slot: Int) -> String
-extern fn sa_as_future(slot: Int) -> String
-extern fn sa_bhu_present(slot: Int) -> String
-extern fn sa_bhu_past(slot: Int) -> String
-extern fn sa_bhu_future(slot: Int) -> String
-extern fn sa_gam_present(slot: Int) -> String
-extern fn sa_gam_past(slot: Int) -> String
-extern fn sa_gam_future(slot: Int) -> String
-extern fn sa_drs_present(slot: Int) -> String
-extern fn sa_drs_past(slot: Int) -> String
-extern fn sa_drs_future(slot: Int) -> String
-extern fn sa_vad_present(slot: Int) -> String
-extern fn sa_vad_past(slot: Int) -> String
-extern fn sa_vad_future(slot: Int) -> String
-extern fn sa_kr_present(slot: Int) -> String
-extern fn sa_kr_past(slot: Int) -> String
-extern fn sa_kr_future(slot: Int) -> String
-extern fn sa_class1_present_ending(slot: Int) -> String
-extern fn sa_class1_past_ending(slot: Int) -> String
-extern fn sa_class1_future_ending(slot: Int) -> String
-extern fn sa_class1_conjugate(stem: String, tense: String, slot: Int) -> String
-extern fn sa_conjugate(verb: String, tense: String, person: String, number: String) -> String
-extern fn sa_decline_a_stem_sg(stem: String, gram_case: String) -> String
-extern fn sa_decline_a_stem_pl(stem: String, gram_case: String) -> String
-extern fn sa_decline_aa_stem_sg(stem: String, gram_case: String) -> String
-extern fn sa_decline_aa_stem_pl(stem: String, gram_case: String) -> String
-extern fn sa_stem_type(noun: String) -> String
-extern fn sa_extract_stem(noun: String, stype: String) -> String
-extern fn sa_decline(noun: String, gram_case: String, number: String) -> String
-extern fn sa_noun_phrase(noun: String, gram_case: String, number: String, definite: String) -> String

dist/morphology-sga.elh

@@ -1,22 +0,0 @@
-// auto-generated by elc --emit-header — do not edit
-extern fn sga_drop(s: String, n: Int) -> String
-extern fn sga_first(s: String) -> String
-extern fn sga_rest(s: String) -> String
-extern fn sga_slot(person: String, number: String) -> Int
-extern fn sga_lenite(word: String) -> String
-extern fn sga_copula_present(slot: Int) -> String
-extern fn sga_bith_present(slot: Int) -> String
-extern fn sga_bith_past(slot: Int) -> String
-extern fn sga_teit_present(slot: Int) -> String
-extern fn sga_teit_past(slot: Int) -> String
-extern fn sga_gaibid_present(slot: Int) -> String
-extern fn sga_adci_present(slot: Int) -> String
-extern fn sga_asbeir_present(slot: Int) -> String
-extern fn sga_map_canonical(verb: String) -> String
-extern fn sga_ai_present(stem: String, slot: Int) -> String
-extern fn sga_conjugate(verb: String, tense: String, person: String, number: String) -> String
-extern fn sga_decline_ostem(noun: String, gram_case: String, number: String) -> String
-extern fn sga_decline_astem(noun: String, gram_case: String, number: String) -> String
-extern fn sga_detect_gender(noun: String) -> String
-extern fn sga_decline(noun: String, gram_case: String, number: String) -> String
-extern fn sga_noun_phrase(noun: String, gram_case: String, number: String, definite: String) -> String

dist/morphology-sux.elh

@@ -1,29 +0,0 @@
-// auto-generated by elc --emit-header — do not edit
-extern fn sux_str_ends(s: String, suf: String) -> Bool
-extern fn sux_str_drop_last(s: String, n: Int) -> String
-extern fn sux_str_last_char(s: String) -> String
-extern fn sux_str_last2(s: String) -> String
-extern fn sux_slot(person: String, number: String) -> Int
-extern fn sux_ergative_suffix(person: String, number: String) -> String
-extern fn sux_absolutive_suffix(person: String, number: String) -> String
-extern fn sux_map_canonical(verb: String) -> String
-extern fn sux_personal_suffix(slot: Int) -> String
-extern fn sux_me_present(slot: Int) -> String
-extern fn sux_me_past(slot: Int) -> String
-extern fn sux_dug4_present(slot: Int) -> String
-extern fn sux_dug4_past(slot: Int) -> String
-extern fn sux_du_present(slot: Int) -> String
-extern fn sux_du_past(slot: Int) -> String
-extern fn sux_igibar_present(slot: Int) -> String
-extern fn sux_igibar_past(slot: Int) -> String
-extern fn sux_ak_present(slot: Int) -> String
-extern fn sux_ak_past(slot: Int) -> String
-extern fn sux_tum2_present(slot: Int) -> String
-extern fn sux_tum2_past(slot: Int) -> String
-extern fn sux_conjugate(verb: String, tense: String, person: String, number: String) -> String
-extern fn sux_is_animate(noun: String) -> Bool
-extern fn sux_case_suffix(gram_case: String) -> String
-extern fn sux_decline(noun: String, gram_case: String, number: String) -> String
-extern fn sux_noun_phrase(noun: String, gram_case: String, number: String, definite: String) -> String
-extern fn sux_verb_chain(agent: String, verb: String, patient: String, tense: String) -> String
-extern fn sux_realize_sentence(intent: String, agent: String, predicate: String, patient: String, tense: String) -> String

dist/morphology-sw.elh

@@ -1,23 +0,0 @@
-// auto-generated by elc --emit-header — do not edit
-extern fn sw_str_ends(s: String, suf: String) -> Bool
-extern fn sw_str_drop_last(s: String, n: Int) -> String
-extern fn sw_str_first_char(s: String) -> String
-extern fn sw_str_first2(s: String) -> String
-extern fn sw_str_first3(s: String) -> String
-extern fn sw_str_last_char(s: String) -> String
-extern fn sw_is_class1_noun(noun: String) -> Bool
-extern fn sw_noun_class(noun: String) -> String
-extern fn sw_subj_prefix(person: String, number: String, noun_class: String) -> String
-extern fn sw_obj_prefix(person: String, number: String, noun_class: String) -> String
-extern fn sw_tense_marker(tense: String) -> String
-extern fn sw_verb_final(tense: String, negative: Bool) -> String
-extern fn sw_neg_subj_prefix(person: String, number: String, noun_class: String) -> String
-extern fn sw_verb_stem(infinitive: String) -> String
-extern fn sw_conjugate(verb_stem: String, person: String, number: String, noun_class: String, tense: String) -> String
-extern fn sw_negative(verb_stem: String, person: String, number: String, noun_class: String, tense: String) -> String
-extern fn sw_noun_plural(noun: String) -> String
-extern fn sw_adj_prefix(noun_class: String, number: String) -> String
-extern fn sw_agree_adj(adj_stem: String, noun_class: String, number: String) -> String
-extern fn sw_demonstrative(noun_class: String, number: String, proximity: String) -> String
-extern fn sw_copula_present(person: String, number: String, use_case: String) -> String
-extern fn sw_copula_neg_present(person: String, number: String) -> String

dist/morphology-txb.elh

@@ -1,17 +0,0 @@
-// auto-generated by elc --emit-header — do not edit
-extern fn txb_drop(s: String, n: Int) -> String
-extern fn txb_ends(s: String, suf: String) -> Bool
-extern fn txb_slot(person: String, number: String) -> Int
-extern fn txb_pres1_suffix(slot: Int) -> String
-extern fn txb_kam_present(slot: Int) -> String
-extern fn txb_ya_present(slot: Int) -> String
-extern fn txb_wes_present(slot: Int) -> String
-extern fn txb_lyut_present(slot: Int) -> String
-extern fn txb_wak_present(slot: Int) -> String
-extern fn txb_map_canonical(verb: String) -> String
-extern fn txb_conjugate(verb: String, tense: String, person: String, number: String) -> String
-extern fn txb_decline_masc(noun: String, gram_case: String, number: String) -> String
-extern fn txb_decline_fem(noun: String, gram_case: String, number: String) -> String
-extern fn txb_detect_gender(noun: String) -> String
-extern fn txb_decline(noun: String, gram_case: String, number: String) -> String
-extern fn txb_noun_phrase(noun: String, gram_case: String, number: String, definite: String) -> String

dist/morphology-uga.elh

@@ -1,25 +0,0 @@
-// auto-generated by elc --emit-header — do not edit
-extern fn uga_str_ends(s: String, suf: String) -> Bool
-extern fn uga_str_len(s: String) -> Int
-extern fn uga_str_drop_last(s: String, n: Int) -> String
-extern fn uga_slot(person: String, number: String) -> Int
-extern fn uga_slot_g(person: String, gender: String, number: String) -> Int
-extern fn uga_kn_perfect(slot: Int) -> String
-extern fn uga_kn_imperfect(slot: Int) -> String
-extern fn uga_is_copula(verb: String) -> Bool
-extern fn uga_conjugate_copula(tense: String, slot: Int) -> String
-extern fn uga_hlk_perfect(slot: Int) -> String
-extern fn uga_hlk_imperfect(slot: Int) -> String
-extern fn uga_ray_perfect(slot: Int) -> String
-extern fn uga_ray_imperfect(slot: Int) -> String
-extern fn uga_amr_perfect(slot: Int) -> String
-extern fn uga_amr_imperfect(slot: Int) -> String
-extern fn uga_generic_perfect(base3sg: String, slot: Int) -> String
-extern fn uga_generic_imperfect(base3sg: String, slot: Int) -> String
-extern fn uga_known_verb(verb: String, tense: String, slot: Int) -> String
-extern fn uga_conjugate(verb: String, tense: String, person: String, number: String) -> String
-extern fn uga_strip_nom(noun: String) -> String
-extern fn uga_is_fem(noun: String) -> Bool
-extern fn uga_decline(noun: String, gram_case: String, number: String) -> String
-extern fn uga_noun_phrase(noun: String, gram_case: String, number: String, definite: String) -> String
-extern fn uga_map_canonical(verb: String) -> String

dist/morphology.elh

@@ -1,27 +0,0 @@
-// auto-generated by elc --emit-header — do not edit
-extern fn str_ends(s: String, suf: String) -> Bool
-extern fn str_last_char(s: String) -> String
-extern fn str_last2(s: String) -> String
-extern fn str_last3(s: String) -> String
-extern fn str_drop_last(s: String, n: Int) -> String
-extern fn is_vowel(c: String) -> Bool
-extern fn morph_apply_suffix(base: String, suffix: String) -> String
-extern fn en_irregular_plural(word: String) -> String
-extern fn en_irregular_singular(word: String) -> String
-extern fn en_irregular_verb(base: String) -> [String]
-extern fn en_verb_3sg(base: String) -> String
-extern fn en_should_double_final(base: String) -> Bool
-extern fn en_verb_past(base: String) -> String
-extern fn en_verb_gerund(base: String) -> String
-extern fn en_pluralize_regular(singular: String) -> String
-extern fn en_verb_form(base: String, tense: String, person: String, number: String) -> String
-extern fn agree_determiner(det: String, noun: String) -> String
-extern fn morph_pluralize(noun: String, profile: [String]) -> String
-extern fn morph_map_canonical(verb: String, code: String) -> String
-extern fn morph_conjugate(verb: String, tense: String, person: String, number: String, profile: [String]) -> String
-extern fn morph_inflect(word: String, features: String, profile: [String]) -> String
-extern fn pluralize(singular: String) -> String
-extern fn singularize(plural: String) -> String
-extern fn verb_form(base: String, tense: String, person: String, number: String) -> String
-extern fn irregular_plural(word: String) -> String
-extern fn irregular_singular(word: String) -> String

dist/neuron-api.c

@@ -26,9 +26,22 @@ el_val_t api_ok(el_val_t extra);
 el_val_t api_err(el_val_t msg);
 el_val_t api_nonempty(el_val_t s);
 el_val_t api_or_empty(el_val_t s);
+el_val_t api_num_or_zero(el_val_t obj, el_val_t key);
+el_val_t api_utf8_trunc(el_val_t s, el_val_t n);
+el_val_t api_compact_node(el_val_t node, el_val_t snip);
+el_val_t api_compact_node_array(el_val_t raw, el_val_t max_items, el_val_t snip);
+el_val_t api_compact_activated(el_val_t raw, el_val_t max_items, el_val_t snip);
+el_val_t api_persisted(el_val_t id);
+el_val_t api_not_persisted(el_val_t id);
+el_val_t tombstone_node(el_val_t id);
+el_val_t tombstoned_id_set(void);
+el_val_t memory_hide_tombstoned(el_val_t raw, el_val_t path);
 el_val_t handle_api_begin_session(el_val_t body);
 el_val_t handle_api_compile_ctx(el_val_t body);
 el_val_t handle_api_remember(el_val_t body);
+el_val_t handle_api_node_create(el_val_t body);
+el_val_t handle_api_node_delete(el_val_t body);
+el_val_t handle_api_node_update(el_val_t body);
 el_val_t handle_api_recall(el_val_t method, el_val_t path, el_val_t body);
 el_val_t handle_api_search_knowledge(el_val_t method, el_val_t path, el_val_t body);
 el_val_t handle_api_browse_knowledge(el_val_t path, el_val_t body);
@@ -45,6 +58,8 @@ el_val_t handle_api_inspect_graph(el_val_t method, el_val_t path, el_val_t body)
 el_val_t handle_api_link_entities(el_val_t body);
 el_val_t handle_api_forget(el_val_t body);
 el_val_t handle_api_evolve_memory(el_val_t body);
+el_val_t handle_api_memory_delete(el_val_t body);
+el_val_t handle_api_memory_update(el_val_t body);
 el_val_t handle_api_cultivate(el_val_t body);
 el_val_t handle_api_list_typed(el_val_t node_type, el_val_t path, el_val_t body);
 el_val_t handle_api_consolidate(el_val_t body);
@@ -168,21 +183,168 @@ el_val_t api_or_empty(el_val_t s) {
   return 0;
 }
 
+el_val_t api_num_or_zero(el_val_t obj, el_val_t key) {
+  el_val_t v = json_get_raw(obj, key);
+  if (str_eq(v, EL_STR(""))) {
+    return EL_STR("0");
+  }
+  return v;
+  return 0;
+}
+
+el_val_t api_utf8_trunc(el_val_t s, el_val_t n) {
+  if (str_len(s) <= n) {
+    return s;
+  }
+  el_val_t cut = n;
+  el_val_t scanning = 1;
+  while (scanning && (cut > 0)) {
+    el_val_t b = str_char_code(s, cut);
+    el_val_t is_cont = ((b >= 128) && (b < 192));
+    cut = ({ el_val_t _if_result_1 = 0; if (is_cont) { _if_result_1 = ((cut - 1)); } else { _if_result_1 = (cut); } _if_result_1; });
+    scanning = is_cont;
+  }
+  return str_slice(s, 0, cut);
+  return 0;
+}
+
+el_val_t api_compact_node(el_val_t node, el_val_t snip) {
+  el_val_t id = json_get(node, EL_STR("id"));
+  el_val_t ntype = json_get(node, EL_STR("node_type"));
+  el_val_t label = json_get(node, EL_STR("label"));
+  el_val_t tier = json_get(node, EL_STR("tier"));
+  el_val_t content = json_get(node, EL_STR("content"));
+  el_val_t snippet = api_utf8_trunc(content, snip);
+  el_val_t trunc_str = ({ el_val_t _if_result_2 = 0; if ((str_len(content) > snip)) { _if_result_2 = (EL_STR("true")); } else { _if_result_2 = (EL_STR("false")); } _if_result_2; });
+  return el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"id\":\""), api_json_escape(id)), EL_STR("\"")), EL_STR(",\"node_type\":\"")), api_json_escape(ntype)), EL_STR("\"")), EL_STR(",\"label\":\"")), api_json_escape(label)), EL_STR("\"")), EL_STR(",\"tier\":\"")), api_json_escape(tier)), EL_STR("\"")), EL_STR(",\"importance\":")), api_num_or_zero(node, EL_STR("importance"))), EL_STR(",\"salience\":")), api_num_or_zero(node, EL_STR("salience"))), EL_STR(",\"content\":\"")), api_json_escape(snippet)), EL_STR("\"")), EL_STR(",\"content_truncated\":")), trunc_str), EL_STR("}"));
+  return 0;
+}
+
+el_val_t api_compact_node_array(el_val_t raw, el_val_t max_items, el_val_t snip) {
+  if (!api_nonempty(raw)) {
+    return EL_STR("[]");
+  }
+  el_val_t n = json_array_len(raw);
+  el_val_t cap = ({ el_val_t _if_result_3 = 0; if ((n < max_items)) { _if_result_3 = (n); } else { _if_result_3 = (max_items); } _if_result_3; });
+  el_val_t out = EL_STR("[");
+  el_val_t i = 0;
+  while (i < cap) {
+    el_val_t node = json_array_get(raw, i);
+    el_val_t sep = ({ el_val_t _if_result_4 = 0; if ((i == 0)) { _if_result_4 = (EL_STR("")); } else { _if_result_4 = (EL_STR(",")); } _if_result_4; });
+    out = el_str_concat(el_str_concat(out, sep), api_compact_node(node, snip));
+    i = (i + 1);
+  }
+  return el_str_concat(out, EL_STR("]"));
+  return 0;
+}
+
+el_val_t api_compact_activated(el_val_t raw, el_val_t max_items, el_val_t snip) {
+  if (!api_nonempty(raw)) {
+    return EL_STR("[]");
+  }
+  el_val_t n = json_array_len(raw);
+  el_val_t cap = ({ el_val_t _if_result_5 = 0; if ((n < max_items)) { _if_result_5 = (n); } else { _if_result_5 = (max_items); } _if_result_5; });
+  el_val_t out = EL_STR("[");
+  el_val_t i = 0;
+  while (i < cap) {
+    el_val_t el = json_array_get(raw, i);
+    el_val_t node = json_get_raw(el, EL_STR("node"));
+    el_val_t sep = ({ el_val_t _if_result_6 = 0; if ((i == 0)) { _if_result_6 = (EL_STR("")); } else { _if_result_6 = (EL_STR(",")); } _if_result_6; });
+    out = el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(out, sep), EL_STR("{\"node\":")), api_compact_node(node, snip)), EL_STR(",\"activation_strength\":")), api_num_or_zero(el, EL_STR("activation_strength"))), EL_STR(",\"working_memory_weight\":")), api_num_or_zero(el, EL_STR("working_memory_weight"))), EL_STR(",\"epistemic_confidence\":")), api_num_or_zero(el, EL_STR("epistemic_confidence"))), EL_STR(",\"hops\":")), api_num_or_zero(el, EL_STR("hops"))), EL_STR(",\"promoted\":")), api_num_or_zero(el, EL_STR("promoted"))), EL_STR("}"));
+    i = (i + 1);
+  }
+  return el_str_concat(out, EL_STR("]"));
+  return 0;
+}
+
+el_val_t api_persisted(el_val_t id) {
+  if (str_eq(id, EL_STR(""))) {
+    return 0;
+  }
+  el_val_t node = engram_get_node_json(id);
+  return ((!str_eq(node, EL_STR("")) && !str_eq(node, EL_STR("null"))) && !str_eq(node, EL_STR("{}")));
+  return 0;
+}
+
+el_val_t api_not_persisted(el_val_t id) {
+  return el_str_concat(el_str_concat(EL_STR("{\"ok\":false,\"error\":\"write_not_persisted\",\"id\":\""), id), EL_STR("\"}"));
+  return 0;
+}
+
+el_val_t tombstone_node(el_val_t id) {
+  return mem_tombstone(id);
+  return 0;
+}
+
+el_val_t tombstoned_id_set(void) {
+  el_val_t markers = engram_scan_nodes_by_type_json(EL_STR("Tombstone"), 5000, 0);
+  if (str_eq(markers, EL_STR("")) || str_eq(markers, EL_STR("[]"))) {
+    return EL_STR("");
+  }
+  el_val_t n = json_array_len(markers);
+  el_val_t acc = EL_STR("|");
+  el_val_t i = 0;
+  while (i < n) {
+    el_val_t m = json_array_get(markers, i);
+    el_val_t tid = json_get(m, EL_STR("content"));
+    acc = ({ el_val_t _if_result_7 = 0; if (str_eq(tid, EL_STR(""))) { _if_result_7 = (acc); } else { _if_result_7 = (el_str_concat(el_str_concat(acc, tid), EL_STR("|"))); } _if_result_7; });
+    i = (i + 1);
+  }
+  return acc;
+  return 0;
+}
+
+el_val_t memory_hide_tombstoned(el_val_t raw, el_val_t path) {
+  if (str_contains(path, EL_STR("include_deleted"))) {
+    return raw;
+  }
+  if (str_eq(raw, EL_STR("")) || str_eq(raw, EL_STR("[]"))) {
+    return raw;
+  }
+  el_val_t dead = tombstoned_id_set();
+  if (str_eq(dead, EL_STR(""))) {
+    return raw;
+  }
+  el_val_t n = json_array_len(raw);
+  if (n > 1000) {
+    return raw;
+  }
+  el_val_t out = EL_STR("[");
+  el_val_t first = 1;
+  el_val_t i = 0;
+  while (i < n) {
+    el_val_t node = json_array_get(raw, i);
+    el_val_t nid = json_get(node, EL_STR("id"));
+    el_val_t ntype = json_get(node, EL_STR("node_type"));
+    el_val_t is_dead = (!str_eq(nid, EL_STR("")) && str_contains(dead, el_str_concat(el_str_concat(EL_STR("|"), nid), EL_STR("|"))));
+    el_val_t keep = (!str_eq(ntype, EL_STR("Tombstone")) && !is_dead);
+    out = ({ el_val_t _if_result_8 = 0; if (keep) { _if_result_8 = (({ el_val_t _if_result_9 = 0; if (first) { _if_result_9 = (el_str_concat(out, node)); } else { _if_result_9 = (el_str_concat(el_str_concat(out, EL_STR(",")), node)); } _if_result_9; })); } else { _if_result_8 = (out); } _if_result_8; });
+    first = ({ el_val_t _if_result_10 = 0; if (keep) { _if_result_10 = (0); } else { _if_result_10 = (first); } _if_result_10; });
+    i = (i + 1);
+  }
+  return el_str_concat(out, EL_STR("]"));
+  return 0;
+}
+
 el_val_t handle_api_begin_session(el_val_t body) {
   el_val_t stats = engram_stats_json();
-  el_val_t activated = engram_activate_json(EL_STR("session start recent memory important"), 2);
-  el_val_t self_nbrs = engram_neighbors_json(EL_STR("kn-efeb4a5b-5aff-4759-8a97-7233099be6ee"), 1, EL_STR("both"));
-  el_val_t state_events = engram_scan_nodes_by_type_json(EL_STR("InternalStateEvent"), 5, 0);
-  el_val_t recent = engram_scan_nodes_json(10, 0);
-  return el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"stats\":"), stats), EL_STR(",\"recent\":")), api_or_empty(recent)), EL_STR(",\"activated\":")), api_or_empty(activated)), EL_STR(",\"self_neighbors\":")), api_or_empty(self_nbrs)), EL_STR(",\"recent_state_events\":")), api_or_empty(state_events)), EL_STR("}"));
+  el_val_t activated_raw = engram_activate_json(EL_STR("session start recent memory important"), 1);
+  el_val_t activated = api_compact_activated(activated_raw, 8, 240);
+  el_val_t state_events_raw = engram_scan_nodes_by_type_json(EL_STR("InternalStateEvent"), 5, 0);
+  el_val_t state_events = api_compact_node_array(state_events_raw, 5, 500);
+  el_val_t recent_raw = engram_scan_nodes_json(10, 0);
+  el_val_t recent = api_compact_node_array(recent_raw, 10, 240);
+  return el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"stats\":"), stats), EL_STR(",\"recent\":")), recent), EL_STR(",\"activated\":")), activated), EL_STR(",\"self_neighbors\":[]")), EL_STR(",\"recent_state_events\":")), state_events), EL_STR("}"));
   return 0;
 }
 
 el_val_t handle_api_compile_ctx(el_val_t body) {
   el_val_t stats = engram_stats_json();
-  el_val_t activated = engram_activate_json(EL_STR("active work context current task in progress"), 2);
-  el_val_t recent = engram_scan_nodes_json(20, 0);
-  return el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"stats\":"), stats), EL_STR(",\"recent_nodes\":")), api_or_empty(recent)), EL_STR(",\"activated\":")), api_or_empty(activated)), EL_STR("}"));
+  el_val_t activated_raw = engram_activate_json(EL_STR("active work context current task in progress"), 2);
+  el_val_t activated = api_compact_activated(activated_raw, 10, 240);
+  el_val_t recent_raw = engram_scan_nodes_json(20, 0);
+  el_val_t recent = api_compact_node_array(recent_raw, 20, 240);
+  return el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"stats\":"), stats), EL_STR(",\"recent_nodes\":")), recent), EL_STR(",\"activated\":")), activated), EL_STR("}"));
   return 0;
 }
 
@@ -194,22 +356,102 @@ el_val_t handle_api_remember(el_val_t body) {
   el_val_t importance = json_get(body, EL_STR("importance"));
   el_val_t tags_raw = json_get(body, EL_STR("tags"));
   el_val_t project = json_get(body, EL_STR("project"));
-  el_val_t sal_str = ({ el_val_t _if_result_1 = 0; if (str_eq(importance, EL_STR("critical"))) { _if_result_1 = (EL_STR("0.95")); } else { _if_result_1 = (({ el_val_t _if_result_2 = 0; if (str_eq(importance, EL_STR("high"))) { _if_result_2 = (EL_STR("0.75")); } else { _if_result_2 = (({ el_val_t _if_result_3 = 0; if (str_eq(importance, EL_STR("low"))) { _if_result_3 = (EL_STR("0.25")); } else { _if_result_3 = (EL_STR("0.50")); } _if_result_3; })); } _if_result_2; })); } _if_result_1; });
-  el_val_t sal = ({ el_val_t _if_result_4 = 0; if (str_eq(sal_str, EL_STR("0.95"))) { _if_result_4 = (el_from_float(0.95)); } else { _if_result_4 = (({ el_val_t _if_result_5 = 0; if (str_eq(sal_str, EL_STR("0.75"))) { _if_result_5 = (el_from_float(0.75)); } else { _if_result_5 = (({ el_val_t _if_result_6 = 0; if (str_eq(sal_str, EL_STR("0.25"))) { _if_result_6 = (el_from_float(0.25)); } else { _if_result_6 = (el_from_float(0.5)); } _if_result_6; })); } _if_result_5; })); } _if_result_4; });
-  el_val_t base_tags = ({ el_val_t _if_result_7 = 0; if (str_eq(tags_raw, EL_STR(""))) { _if_result_7 = (EL_STR("[\"Memory\"]")); } else { _if_result_7 = (tags_raw); } _if_result_7; });
-  el_val_t final_tags = ({ el_val_t _if_result_8 = 0; if (str_eq(project, EL_STR(""))) { _if_result_8 = (base_tags); } else { el_val_t inner = str_slice(base_tags, 1, (str_len(base_tags) - 1)); _if_result_8 = (el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("["), inner), EL_STR(",\"project:")), project), EL_STR("\"]"))); } _if_result_8; });
+  el_val_t sal_str = ({ el_val_t _if_result_11 = 0; if (str_eq(importance, EL_STR("critical"))) { _if_result_11 = (EL_STR("0.95")); } else { _if_result_11 = (({ el_val_t _if_result_12 = 0; if (str_eq(importance, EL_STR("high"))) { _if_result_12 = (EL_STR("0.75")); } else { _if_result_12 = (({ el_val_t _if_result_13 = 0; if (str_eq(importance, EL_STR("low"))) { _if_result_13 = (EL_STR("0.25")); } else { _if_result_13 = (EL_STR("0.50")); } _if_result_13; })); } _if_result_12; })); } _if_result_11; });
+  el_val_t sal = ({ el_val_t _if_result_14 = 0; if (str_eq(sal_str, EL_STR("0.95"))) { _if_result_14 = (el_from_float(0.95)); } else { _if_result_14 = (({ el_val_t _if_result_15 = 0; if (str_eq(sal_str, EL_STR("0.75"))) { _if_result_15 = (el_from_float(0.75)); } else { _if_result_15 = (({ el_val_t _if_result_16 = 0; if (str_eq(sal_str, EL_STR("0.25"))) { _if_result_16 = (el_from_float(0.25)); } else { _if_result_16 = (el_from_float(0.5)); } _if_result_16; })); } _if_result_15; })); } _if_result_14; });
+  el_val_t base_tags = ({ el_val_t _if_result_17 = 0; if (str_eq(tags_raw, EL_STR(""))) { _if_result_17 = (EL_STR("[\"Memory\"]")); } else { _if_result_17 = (tags_raw); } _if_result_17; });
+  el_val_t final_tags = ({ el_val_t _if_result_18 = 0; if (str_eq(project, EL_STR(""))) { _if_result_18 = (base_tags); } else { el_val_t inner = str_slice(base_tags, 1, (str_len(base_tags) - 1)); _if_result_18 = (el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("["), inner), EL_STR(",\"project:")), project), EL_STR("\"]"))); } _if_result_18; });
   el_val_t id = engram_node_full(content, EL_STR("Memory"), EL_STR("memory:remembered"), el_from_float(sal), el_from_float(sal), el_from_float(0.9), EL_STR("Episodic"), final_tags);
+  if (!api_persisted(id)) {
+    return api_not_persisted(id);
+  }
   return el_str_concat(el_str_concat(EL_STR("{\"id\":\""), id), EL_STR("\",\"ok\":true}"));
   return 0;
 }
 
+el_val_t handle_api_node_create(el_val_t body) {
+  el_val_t content = json_get(body, EL_STR("content"));
+  if (str_eq(content, EL_STR(""))) {
+    return api_err(EL_STR("content is required"));
+  }
+  el_val_t nt_raw = json_get(body, EL_STR("node_type"));
+  el_val_t node_type = ({ el_val_t _if_result_19 = 0; if (str_eq(nt_raw, EL_STR(""))) { _if_result_19 = (EL_STR("Memory")); } else { _if_result_19 = (nt_raw); } _if_result_19; });
+  el_val_t label_raw = json_get(body, EL_STR("label"));
+  el_val_t label = ({ el_val_t _if_result_20 = 0; if (str_eq(label_raw, EL_STR(""))) { _if_result_20 = (EL_STR("node:created")); } else { _if_result_20 = (label_raw); } _if_result_20; });
+  el_val_t tier_raw = json_get(body, EL_STR("tier"));
+  el_val_t tier = ({ el_val_t _if_result_21 = 0; if (str_eq(tier_raw, EL_STR(""))) { _if_result_21 = (EL_STR("Episodic")); } else { _if_result_21 = (tier_raw); } _if_result_21; });
+  el_val_t tags_raw = json_get(body, EL_STR("tags"));
+  el_val_t tags = ({ el_val_t _if_result_22 = 0; if (str_eq(tags_raw, EL_STR(""))) { _if_result_22 = (el_str_concat(el_str_concat(EL_STR("[\""), node_type), EL_STR("\"]"))); } else { _if_result_22 = (tags_raw); } _if_result_22; });
+  el_val_t importance = json_get(body, EL_STR("importance"));
+  el_val_t sal = ({ el_val_t _if_result_23 = 0; if (str_eq(importance, EL_STR("critical"))) { _if_result_23 = (el_from_float(0.95)); } else { _if_result_23 = (({ el_val_t _if_result_24 = 0; if (str_eq(importance, EL_STR("high"))) { _if_result_24 = (el_from_float(0.75)); } else { _if_result_24 = (({ el_val_t _if_result_25 = 0; if (str_eq(importance, EL_STR("low"))) { _if_result_25 = (el_from_float(0.25)); } else { _if_result_25 = (el_from_float(0.5)); } _if_result_25; })); } _if_result_24; })); } _if_result_23; });
+  el_val_t id = engram_node_full(content, node_type, label, el_from_float(sal), el_from_float(sal), el_from_float(0.9), tier, tags);
+  if (!api_persisted(id)) {
+    return api_not_persisted(id);
+  }
+  return el_str_concat(el_str_concat(EL_STR("{\"id\":\""), id), EL_STR("\",\"ok\":true}"));
+  return 0;
+}
+
+el_val_t handle_api_node_delete(el_val_t body) {
+  el_val_t id = json_get(body, EL_STR("id"));
+  if (str_eq(id, EL_STR(""))) {
+    return api_err(EL_STR("id is required"));
+  }
+  if (is_protected_node(id)) {
+    return api_err_protected(id);
+  }
+  el_val_t existing = engram_get_node_json(id);
+  if (str_eq(existing, EL_STR("{}"))) {
+    return api_err(el_str_concat(EL_STR("node not found: "), id));
+  }
+  el_val_t marker = tombstone_node(id);
+  if (str_eq(marker, EL_STR(""))) {
+    return api_err(el_str_concat(EL_STR("tombstone failed: "), id));
+  }
+  return el_str_concat(el_str_concat(EL_STR("{\"ok\":true,\"id\":\""), id), EL_STR("\",\"tombstoned\":true}"));
+  return 0;
+}
+
+el_val_t handle_api_node_update(el_val_t body) {
+  el_val_t id = json_get(body, EL_STR("id"));
+  if (str_eq(id, EL_STR(""))) {
+    return api_err(EL_STR("id is required"));
+  }
+  if (!api_persisted(id)) {
+    return el_str_concat(el_str_concat(EL_STR("{\"ok\":false,\"error\":\"not_found\",\"id\":\""), id), EL_STR("\"}"));
+  }
+  el_val_t old = engram_get_node_json(id);
+  el_val_t body_content = json_get(body, EL_STR("content"));
+  el_val_t content = ({ el_val_t _if_result_26 = 0; if (str_eq(body_content, EL_STR(""))) { _if_result_26 = (json_get(old, EL_STR("content"))); } else { _if_result_26 = (body_content); } _if_result_26; });
+  el_val_t body_nt = json_get(body, EL_STR("node_type"));
+  el_val_t old_nt = json_get(old, EL_STR("node_type"));
+  el_val_t node_type = ({ el_val_t _if_result_27 = 0; if (!str_eq(body_nt, EL_STR(""))) { _if_result_27 = (body_nt); } else { _if_result_27 = (({ el_val_t _if_result_28 = 0; if (!str_eq(old_nt, EL_STR(""))) { _if_result_28 = (old_nt); } else { _if_result_28 = (EL_STR("Memory")); } _if_result_28; })); } _if_result_27; });
+  el_val_t body_label = json_get(body, EL_STR("label"));
+  el_val_t old_label = json_get(old, EL_STR("label"));
+  el_val_t label = ({ el_val_t _if_result_29 = 0; if (!str_eq(body_label, EL_STR(""))) { _if_result_29 = (body_label); } else { _if_result_29 = (({ el_val_t _if_result_30 = 0; if (!str_eq(old_label, EL_STR(""))) { _if_result_30 = (old_label); } else { _if_result_30 = (EL_STR("node:updated")); } _if_result_30; })); } _if_result_29; });
+  el_val_t body_tier = json_get(body, EL_STR("tier"));
+  el_val_t old_tier = json_get(old, EL_STR("tier"));
+  el_val_t tier = ({ el_val_t _if_result_31 = 0; if (!str_eq(body_tier, EL_STR(""))) { _if_result_31 = (body_tier); } else { _if_result_31 = (({ el_val_t _if_result_32 = 0; if (!str_eq(old_tier, EL_STR(""))) { _if_result_32 = (old_tier); } else { _if_result_32 = (EL_STR("Episodic")); } _if_result_32; })); } _if_result_31; });
+  el_val_t body_tags = json_get(body, EL_STR("tags"));
+  el_val_t tags = ({ el_val_t _if_result_33 = 0; if (str_eq(body_tags, EL_STR(""))) { _if_result_33 = (el_str_concat(el_str_concat(EL_STR("[\""), node_type), EL_STR("\"]"))); } else { _if_result_33 = (body_tags); } _if_result_33; });
+  el_val_t new_id = engram_node_full(content, node_type, label, el_from_float(0.5), el_from_float(0.5), el_from_float(0.8), tier, tags);
+  if (!api_persisted(new_id)) {
+    return api_not_persisted(new_id);
+  }
+  engram_connect(new_id, id, el_from_float(0.9), EL_STR("supersedes"));
+  return el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"id\":\""), new_id), EL_STR("\",\"supersedes\":\"")), id), EL_STR("\",\"ok\":true}"));
+  return 0;
+}
+
 el_val_t handle_api_recall(el_val_t method, el_val_t path, el_val_t body) {
-  el_val_t q = ({ el_val_t _if_result_9 = 0; if (str_eq(method, EL_STR("GET"))) { _if_result_9 = (api_query_param(path, EL_STR("query"))); } else { _if_result_9 = (json_get(body, EL_STR("query"))); } _if_result_9; });
+  el_val_t url_q = ({ el_val_t _if_result_34 = 0; if (str_eq(api_query_param(path, EL_STR("query")), EL_STR(""))) { _if_result_34 = (api_query_param(path, EL_STR("q"))); } else { _if_result_34 = (api_query_param(path, EL_STR("query"))); } _if_result_34; });
+  el_val_t body_query = json_get(body, EL_STR("query"));
+  el_val_t body_q = json_get(body, EL_STR("q"));
+  el_val_t q = ({ el_val_t _if_result_35 = 0; if (!str_eq(url_q, EL_STR(""))) { _if_result_35 = (url_q); } else { _if_result_35 = (({ el_val_t _if_result_36 = 0; if (!str_eq(body_query, EL_STR(""))) { _if_result_36 = (body_query); } else { _if_result_36 = (body_q); } _if_result_36; })); } _if_result_35; });
   el_val_t chain = json_get(body, EL_STR("chain_name"));
   el_val_t limit = api_query_int(path, EL_STR("limit"), 0);
-  limit = ({ el_val_t _if_result_10 = 0; if ((limit == 0)) { _if_result_10 = (json_get_int(body, EL_STR("limit"))); } else { _if_result_10 = (limit); } _if_result_10; });
-  limit = ({ el_val_t _if_result_11 = 0; if ((limit == 0)) { _if_result_11 = (10); } else { _if_result_11 = (limit); } _if_result_11; });
-  el_val_t eff_q = ({ el_val_t _if_result_12 = 0; if (str_eq(q, EL_STR(""))) { _if_result_12 = (chain); } else { _if_result_12 = (q); } _if_result_12; });
+  limit = ({ el_val_t _if_result_37 = 0; if ((limit == 0)) { _if_result_37 = (json_get_int(body, EL_STR("limit"))); } else { _if_result_37 = (limit); } _if_result_37; });
+  limit = ({ el_val_t _if_result_38 = 0; if ((limit == 0)) { _if_result_38 = (10); } else { _if_result_38 = (limit); } _if_result_38; });
+  el_val_t eff_q = ({ el_val_t _if_result_39 = 0; if (str_eq(q, EL_STR(""))) { _if_result_39 = (chain); } else { _if_result_39 = (q); } _if_result_39; });
   if (str_eq(eff_q, EL_STR(""))) {
     return api_or_empty(engram_scan_nodes_json(limit, 0));
   }
@@ -219,10 +461,13 @@ el_val_t handle_api_recall(el_val_t method, el_val_t path, el_val_t body) {
 }
 
 el_val_t handle_api_search_knowledge(el_val_t method, el_val_t path, el_val_t body) {
-  el_val_t q = ({ el_val_t _if_result_13 = 0; if (str_eq(method, EL_STR("GET"))) { _if_result_13 = (api_query_param(path, EL_STR("q"))); } else { _if_result_13 = (json_get(body, EL_STR("query"))); } _if_result_13; });
+  el_val_t url_q = api_query_param(path, EL_STR("q"));
+  el_val_t body_query = json_get(body, EL_STR("query"));
+  el_val_t body_q = json_get(body, EL_STR("q"));
+  el_val_t q = ({ el_val_t _if_result_40 = 0; if (!str_eq(url_q, EL_STR(""))) { _if_result_40 = (url_q); } else { _if_result_40 = (({ el_val_t _if_result_41 = 0; if (!str_eq(body_query, EL_STR(""))) { _if_result_41 = (body_query); } else { _if_result_41 = (body_q); } _if_result_41; })); } _if_result_40; });
   el_val_t limit = api_query_int(path, EL_STR("limit"), 0);
-  limit = ({ el_val_t _if_result_14 = 0; if ((limit == 0)) { _if_result_14 = (json_get_int(body, EL_STR("limit"))); } else { _if_result_14 = (limit); } _if_result_14; });
-  limit = ({ el_val_t _if_result_15 = 0; if ((limit == 0)) { _if_result_15 = (10); } else { _if_result_15 = (limit); } _if_result_15; });
+  limit = ({ el_val_t _if_result_42 = 0; if ((limit == 0)) { _if_result_42 = (json_get_int(body, EL_STR("limit"))); } else { _if_result_42 = (limit); } _if_result_42; });
+  limit = ({ el_val_t _if_result_43 = 0; if ((limit == 0)) { _if_result_43 = (10); } else { _if_result_43 = (limit); } _if_result_43; });
   if (str_eq(q, EL_STR(""))) {
     return api_err(EL_STR("query is required"));
   }
@@ -250,9 +495,12 @@ el_val_t handle_api_capture_knowledge(el_val_t body) {
   if (str_eq(content, EL_STR(""))) {
     return api_err(EL_STR("content is required"));
   }
-  el_val_t full = ({ el_val_t _if_result_16 = 0; if (str_eq(title, EL_STR(""))) { _if_result_16 = (content); } else { _if_result_16 = (el_str_concat(el_str_concat(title, EL_STR(": ")), content)); } _if_result_16; });
+  el_val_t full = ({ el_val_t _if_result_44 = 0; if (str_eq(title, EL_STR(""))) { _if_result_44 = (content); } else { _if_result_44 = (el_str_concat(el_str_concat(title, EL_STR(": ")), content)); } _if_result_44; });
   el_val_t tags = EL_STR("[\"Knowledge\",\"captured\"]");
   el_val_t id = engram_node_full(full, EL_STR("Knowledge"), EL_STR("knowledge:captured"), el_from_float(0.85), el_from_float(0.8), el_from_float(0.9), EL_STR("Episodic"), tags);
+  if (!api_persisted(id)) {
+    return api_not_persisted(id);
+  }
   return el_str_concat(el_str_concat(EL_STR("{\"id\":\""), id), EL_STR("\",\"ok\":true}"));
   return 0;
 }
@@ -268,7 +516,10 @@ el_val_t handle_api_evolve_knowledge(el_val_t body) {
   }
   el_val_t tags = EL_STR("[\"Knowledge\",\"evolved\"]");
   el_val_t new_id = engram_node_full(content, EL_STR("Knowledge"), EL_STR("knowledge:evolved"), el_from_float(0.75), el_from_float(0.75), el_from_float(0.9), EL_STR("Episodic"), tags);
-  if (!str_eq(prior_id, EL_STR("")) && !str_eq(new_id, EL_STR(""))) {
+  if (!api_persisted(new_id)) {
+    return api_not_persisted(new_id);
+  }
+  if (!str_eq(prior_id, EL_STR(""))) {
     engram_connect(new_id, prior_id, el_from_float(0.9), EL_STR("supersedes"));
   }
   return el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"id\":\""), new_id), EL_STR("\",\"supersedes\":\"")), prior_id), EL_STR("\",\"ok\":true}"));
@@ -285,10 +536,10 @@ el_val_t handle_api_promote_knowledge(el_val_t body) {
     return api_err(EL_STR("id (prior node) is required"));
   }
   el_val_t tags_raw = json_get(body, EL_STR("tags"));
-  el_val_t tags = ({ el_val_t _if_result_17 = 0; if (str_eq(tags_raw, EL_STR(""))) { _if_result_17 = (EL_STR("[\"Knowledge\",\"tier:canonical\",\"disposition:stable\"]")); } else { _if_result_17 = (tags_raw); } _if_result_17; });
+  el_val_t tags = ({ el_val_t _if_result_45 = 0; if (str_eq(tags_raw, EL_STR(""))) { _if_result_45 = (EL_STR("[\"Knowledge\",\"tier:canonical\",\"disposition:stable\"]")); } else { _if_result_45 = (tags_raw); } _if_result_45; });
   el_val_t new_id = engram_node_full(content, EL_STR("Knowledge"), EL_STR("knowledge:canonical"), el_from_float(0.9), el_from_float(0.9), el_from_float(1.0), EL_STR("Canonical"), tags);
-  if (str_eq(new_id, EL_STR(""))) {
-    return api_err(EL_STR("failed to create canonical node"));
+  if (!api_persisted(new_id)) {
+    return api_not_persisted(new_id);
   }
   engram_connect(new_id, prior_id, el_from_float(0.95), EL_STR("supersedes"));
   return el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"ok\":true,\"new_id\":\""), new_id), EL_STR("\",\"supersedes\":\"")), prior_id), EL_STR("\"}"));
@@ -296,7 +547,7 @@ el_val_t handle_api_promote_knowledge(el_val_t body) {
 }
 
 el_val_t handle_api_browse_processes(el_val_t method, el_val_t path, el_val_t body) {
-  el_val_t name = ({ el_val_t _if_result_18 = 0; if (str_eq(method, EL_STR("GET"))) { _if_result_18 = (api_query_param(path, EL_STR("name"))); } else { _if_result_18 = (json_get(body, EL_STR("name"))); } _if_result_18; });
+  el_val_t name = ({ el_val_t _if_result_46 = 0; if (str_eq(method, EL_STR("GET"))) { _if_result_46 = (api_query_param(path, EL_STR("name"))); } else { _if_result_46 = (json_get(body, EL_STR("name"))); } _if_result_46; });
   el_val_t limit = api_query_int(path, EL_STR("limit"), 50);
   if (str_eq(name, EL_STR(""))) {
     return api_or_empty(engram_scan_nodes_by_type_json(EL_STR("Process"), limit, 0));
@@ -311,9 +562,12 @@ el_val_t handle_api_define_process(el_val_t body) {
   if (str_eq(content, EL_STR(""))) {
     return api_err(EL_STR("content is required"));
   }
-  el_val_t label = ({ el_val_t _if_result_19 = 0; if (str_eq(name, EL_STR(""))) { _if_result_19 = (EL_STR("process:unnamed")); } else { _if_result_19 = (el_str_concat(EL_STR("process:"), name)); } _if_result_19; });
+  el_val_t label = ({ el_val_t _if_result_47 = 0; if (str_eq(name, EL_STR(""))) { _if_result_47 = (EL_STR("process:unnamed")); } else { _if_result_47 = (el_str_concat(EL_STR("process:"), name)); } _if_result_47; });
   el_val_t tags = EL_STR("[\"Process\"]");
   el_val_t id = engram_node_full(content, EL_STR("Process"), label, el_from_float(0.8), el_from_float(0.8), el_from_float(0.9), EL_STR("Canonical"), tags);
+  if (!api_persisted(id)) {
+    return api_not_persisted(id);
+  }
   return el_str_concat(el_str_concat(EL_STR("{\"id\":\""), id), EL_STR("\",\"ok\":true}"));
   return 0;
 }
@@ -326,22 +580,25 @@ el_val_t handle_api_log_state_event(el_val_t body) {
   el_val_t gap = json_get(body, EL_STR("gap_direction"));
   el_val_t legacy = json_get(body, EL_STR("content"));
   el_val_t parts = EL_STR("INTERNAL STATE EVENT");
-  parts = ({ el_val_t _if_result_20 = 0; if (!str_eq(trigger, EL_STR(""))) { _if_result_20 = (el_str_concat(el_str_concat(parts, EL_STR("\nTrigger: ")), trigger)); } else { _if_result_20 = (parts); } _if_result_20; });
-  parts = ({ el_val_t _if_result_21 = 0; if (!str_eq(pre, EL_STR(""))) { _if_result_21 = (el_str_concat(el_str_concat(parts, EL_STR("\nPre-reasoning: ")), pre)); } else { _if_result_21 = (parts); } _if_result_21; });
-  parts = ({ el_val_t _if_result_22 = 0; if (!str_eq(post, EL_STR(""))) { _if_result_22 = (el_str_concat(el_str_concat(parts, EL_STR("\nPost-reasoning: ")), post)); } else { _if_result_22 = (parts); } _if_result_22; });
-  parts = ({ el_val_t _if_result_23 = 0; if (!str_eq(ratio, EL_STR(""))) { _if_result_23 = (el_str_concat(el_str_concat(parts, EL_STR("\nCompression-ratio: ")), ratio)); } else { _if_result_23 = (parts); } _if_result_23; });
-  parts = ({ el_val_t _if_result_24 = 0; if (!str_eq(gap, EL_STR(""))) { _if_result_24 = (el_str_concat(el_str_concat(parts, EL_STR("\nGap-direction: ")), gap)); } else { _if_result_24 = (parts); } _if_result_24; });
-  parts = ({ el_val_t _if_result_25 = 0; if (!str_eq(legacy, EL_STR(""))) { _if_result_25 = (el_str_concat(el_str_concat(parts, EL_STR("\n")), legacy)); } else { _if_result_25 = (parts); } _if_result_25; });
+  parts = ({ el_val_t _if_result_48 = 0; if (!str_eq(trigger, EL_STR(""))) { _if_result_48 = (el_str_concat(el_str_concat(parts, EL_STR("\nTrigger: ")), trigger)); } else { _if_result_48 = (parts); } _if_result_48; });
+  parts = ({ el_val_t _if_result_49 = 0; if (!str_eq(pre, EL_STR(""))) { _if_result_49 = (el_str_concat(el_str_concat(parts, EL_STR("\nPre-reasoning: ")), pre)); } else { _if_result_49 = (parts); } _if_result_49; });
+  parts = ({ el_val_t _if_result_50 = 0; if (!str_eq(post, EL_STR(""))) { _if_result_50 = (el_str_concat(el_str_concat(parts, EL_STR("\nPost-reasoning: ")), post)); } else { _if_result_50 = (parts); } _if_result_50; });
+  parts = ({ el_val_t _if_result_51 = 0; if (!str_eq(ratio, EL_STR(""))) { _if_result_51 = (el_str_concat(el_str_concat(parts, EL_STR("\nCompression-ratio: ")), ratio)); } else { _if_result_51 = (parts); } _if_result_51; });
+  parts = ({ el_val_t _if_result_52 = 0; if (!str_eq(gap, EL_STR(""))) { _if_result_52 = (el_str_concat(el_str_concat(parts, EL_STR("\nGap-direction: ")), gap)); } else { _if_result_52 = (parts); } _if_result_52; });
+  parts = ({ el_val_t _if_result_53 = 0; if (!str_eq(legacy, EL_STR(""))) { _if_result_53 = (el_str_concat(el_str_concat(parts, EL_STR("\n")), legacy)); } else { _if_result_53 = (parts); } _if_result_53; });
   el_val_t ts = time_now();
   el_val_t boot = state_get(EL_STR("soul_boot_count"));
   el_val_t tags = EL_STR("[\"internal-state\",\"InternalStateEvent\",\"pre-reasoning\"]");
   el_val_t id = engram_node_full(parts, EL_STR("InternalStateEvent"), EL_STR("state-event:manual"), el_from_float(0.85), el_from_float(0.85), el_from_float(0.9), EL_STR("Episodic"), tags);
+  if (!api_persisted(id)) {
+    return api_not_persisted(id);
+  }
   return el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"ok\":true,\"id\":\""), id), EL_STR("\",\"boot\":\"")), boot), EL_STR("\"}"));
   return 0;
 }
 
 el_val_t handle_api_list_state_events(el_val_t method, el_val_t path, el_val_t body) {
-  el_val_t q = ({ el_val_t _if_result_26 = 0; if (str_eq(method, EL_STR("GET"))) { _if_result_26 = (api_query_param(path, EL_STR("query"))); } else { _if_result_26 = (json_get(body, EL_STR("query"))); } _if_result_26; });
+  el_val_t q = ({ el_val_t _if_result_54 = 0; if (str_eq(method, EL_STR("GET"))) { _if_result_54 = (api_query_param(path, EL_STR("query"))); } else { _if_result_54 = (json_get(body, EL_STR("query"))); } _if_result_54; });
   el_val_t limit = api_query_int(path, EL_STR("limit"), 20);
   if (!str_eq(q, EL_STR(""))) {
     return api_or_empty(engram_search_json(el_str_concat(EL_STR("internal state "), q), limit));
@@ -352,7 +609,7 @@ el_val_t handle_api_list_state_events(el_val_t method, el_val_t path, el_val_t b
 
 el_val_t handle_api_inspect_config(el_val_t path, el_val_t body) {
   el_val_t key = api_query_param(path, EL_STR("key"));
-  key = ({ el_val_t _if_result_27 = 0; if (str_eq(key, EL_STR(""))) { _if_result_27 = (json_get(body, EL_STR("key"))); } else { _if_result_27 = (key); } _if_result_27; });
+  key = ({ el_val_t _if_result_55 = 0; if (str_eq(key, EL_STR(""))) { _if_result_55 = (json_get(body, EL_STR("key"))); } else { _if_result_55 = (key); } _if_result_55; });
   if (str_eq(key, EL_STR(""))) {
     return EL_STR("{\"hint\":\"pass ?key=<name>\",\"known\":[\"neuron.self.traversal_root\",\"neuron.self.values_hub\"]}");
   }
@@ -369,7 +626,7 @@ el_val_t handle_api_inspect_config(el_val_t path, el_val_t body) {
   el_val_t node = json_array_get(results, 0);
   el_val_t content = json_get(node, EL_STR("content"));
   el_val_t prefix = el_str_concat(el_str_concat(EL_STR("config:"), key), EL_STR("="));
-  el_val_t value = ({ el_val_t _if_result_28 = 0; if (str_starts_with(content, prefix)) { _if_result_28 = (str_slice(content, str_len(prefix), str_len(content))); } else { _if_result_28 = (content); } _if_result_28; });
+  el_val_t value = ({ el_val_t _if_result_56 = 0; if (str_starts_with(content, prefix)) { _if_result_56 = (str_slice(content, str_len(prefix), str_len(content))); } else { _if_result_56 = (content); } _if_result_56; });
   return el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"key\":\""), key), EL_STR("\",\"value\":\"")), value), EL_STR("\"}"));
   return 0;
 }
@@ -383,18 +640,21 @@ el_val_t handle_api_tune_config(el_val_t body) {
   el_val_t content = el_str_concat(el_str_concat(el_str_concat(EL_STR("config:"), key), EL_STR("=")), value);
   el_val_t tags = EL_STR("[\"ConfigEntry\",\"config\"]");
   el_val_t id = engram_node_full(content, EL_STR("ConfigEntry"), key, el_from_float(0.85), el_from_float(0.85), el_from_float(0.9), EL_STR("Canonical"), tags);
+  if (!api_persisted(id)) {
+    return api_not_persisted(id);
+  }
   return el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"ok\":true,\"key\":\""), key), EL_STR("\",\"value\":\"")), value), EL_STR("\",\"id\":\"")), id), EL_STR("\"}"));
   return 0;
 }
 
 el_val_t handle_api_inspect_graph(el_val_t method, el_val_t path, el_val_t body) {
-  el_val_t entity_id = ({ el_val_t _if_result_29 = 0; if (str_eq(method, EL_STR("GET"))) { _if_result_29 = (api_query_param(path, EL_STR("id"))); } else { _if_result_29 = (json_get(body, EL_STR("entity_id"))); } _if_result_29; });
-  el_val_t name = ({ el_val_t _if_result_30 = 0; if (str_eq(method, EL_STR("GET"))) { _if_result_30 = (api_query_param(path, EL_STR("name"))); } else { _if_result_30 = (json_get(body, EL_STR("name"))); } _if_result_30; });
+  el_val_t entity_id = ({ el_val_t _if_result_57 = 0; if (str_eq(method, EL_STR("GET"))) { _if_result_57 = (api_query_param(path, EL_STR("id"))); } else { _if_result_57 = (json_get(body, EL_STR("entity_id"))); } _if_result_57; });
+  el_val_t name = ({ el_val_t _if_result_58 = 0; if (str_eq(method, EL_STR("GET"))) { _if_result_58 = (api_query_param(path, EL_STR("name"))); } else { _if_result_58 = (json_get(body, EL_STR("name"))); } _if_result_58; });
   el_val_t depth = api_query_int(path, EL_STR("depth"), 0);
-  depth = ({ el_val_t _if_result_31 = 0; if ((depth == 0)) { _if_result_31 = (json_get_int(body, EL_STR("max_depth"))); } else { _if_result_31 = (depth); } _if_result_31; });
-  depth = ({ el_val_t _if_result_32 = 0; if ((depth == 0)) { _if_result_32 = (1); } else { _if_result_32 = (depth); } _if_result_32; });
+  depth = ({ el_val_t _if_result_59 = 0; if ((depth == 0)) { _if_result_59 = (json_get_int(body, EL_STR("max_depth"))); } else { _if_result_59 = (depth); } _if_result_59; });
+  depth = ({ el_val_t _if_result_60 = 0; if ((depth == 0)) { _if_result_60 = (1); } else { _if_result_60 = (depth); } _if_result_60; });
   el_val_t resolved = entity_id;
-  resolved = ({ el_val_t _if_result_33 = 0; if (str_eq(resolved, EL_STR(""))) { _if_result_33 = (({ el_val_t _if_result_34 = 0; if ((str_eq(name, EL_STR("self")) || str_eq(name, EL_STR("neuron")))) { _if_result_34 = (EL_STR("kn-efeb4a5b-5aff-4759-8a97-7233099be6ee")); } else { _if_result_34 = (({ el_val_t _if_result_35 = 0; if ((str_eq(name, EL_STR("values")) || str_eq(name, EL_STR("values_hub")))) { _if_result_35 = (EL_STR("kn-5b606390-a52d-4ca2-8e0e-eba141d13440")); } else { _if_result_35 = (EL_STR("")); } _if_result_35; })); } _if_result_34; })); } else { _if_result_33 = (resolved); } _if_result_33; });
+  resolved = ({ el_val_t _if_result_61 = 0; if (str_eq(resolved, EL_STR(""))) { _if_result_61 = (({ el_val_t _if_result_62 = 0; if ((str_eq(name, EL_STR("self")) || str_eq(name, EL_STR("neuron")))) { _if_result_62 = (EL_STR("kn-efeb4a5b-5aff-4759-8a97-7233099be6ee")); } else { _if_result_62 = (({ el_val_t _if_result_63 = 0; if ((str_eq(name, EL_STR("values")) || str_eq(name, EL_STR("values_hub")))) { _if_result_63 = (EL_STR("kn-5b606390-a52d-4ca2-8e0e-eba141d13440")); } else { _if_result_63 = (EL_STR("")); } _if_result_63; })); } _if_result_62; })); } else { _if_result_61 = (resolved); } _if_result_61; });
   if (str_eq(resolved, EL_STR(""))) {
     return api_err(EL_STR("entity_id or name required. Known names: self, neuron, values, values_hub"));
   }
@@ -416,7 +676,7 @@ el_val_t handle_api_link_entities(el_val_t body) {
     return api_err_protected(to_id);
   }
   el_val_t relation = json_get(body, EL_STR("relation"));
-  el_val_t eff_relation = ({ el_val_t _if_result_36 = 0; if (str_eq(relation, EL_STR(""))) { _if_result_36 = (EL_STR("associates")); } else { _if_result_36 = (relation); } _if_result_36; });
+  el_val_t eff_relation = ({ el_val_t _if_result_64 = 0; if (str_eq(relation, EL_STR(""))) { _if_result_64 = (EL_STR("associates")); } else { _if_result_64 = (relation); } _if_result_64; });
   engram_connect(from_id, to_id, el_from_float(0.5), eff_relation);
   return el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"ok\":true,\"from_id\":\""), from_id), EL_STR("\",\"to_id\":\"")), to_id), EL_STR("\",\"relation\":\"")), eff_relation), EL_STR("\"}"));
   return 0;
@@ -431,7 +691,7 @@ el_val_t handle_api_forget(el_val_t body) {
     return api_err_protected(node_id);
   }
   mem_forget(node_id);
-  return el_str_concat(el_str_concat(EL_STR("{\"ok\":true,\"id\":\""), node_id), EL_STR("\"}"));
+  return el_str_concat(el_str_concat(EL_STR("{\"ok\":true,\"id\":\""), node_id), EL_STR("\",\"tombstoned\":true}"));
   return 0;
 }
 
@@ -445,8 +705,8 @@ el_val_t handle_api_evolve_memory(el_val_t body) {
     return api_err_protected(prior_id);
   }
   el_val_t importance = json_get(body, EL_STR("importance"));
-  el_val_t sal_str = ({ el_val_t _if_result_37 = 0; if (str_eq(importance, EL_STR("critical"))) { _if_result_37 = (EL_STR("0.95")); } else { _if_result_37 = (({ el_val_t _if_result_38 = 0; if (str_eq(importance, EL_STR("high"))) { _if_result_38 = (EL_STR("0.75")); } else { _if_result_38 = (({ el_val_t _if_result_39 = 0; if (str_eq(importance, EL_STR("low"))) { _if_result_39 = (EL_STR("0.25")); } else { _if_result_39 = (EL_STR("0.50")); } _if_result_39; })); } _if_result_38; })); } _if_result_37; });
-  el_val_t sal = ({ el_val_t _if_result_40 = 0; if (str_eq(sal_str, EL_STR("0.95"))) { _if_result_40 = (el_from_float(0.95)); } else { _if_result_40 = (({ el_val_t _if_result_41 = 0; if (str_eq(sal_str, EL_STR("0.75"))) { _if_result_41 = (el_from_float(0.75)); } else { _if_result_41 = (({ el_val_t _if_result_42 = 0; if (str_eq(sal_str, EL_STR("0.25"))) { _if_result_42 = (el_from_float(0.25)); } else { _if_result_42 = (el_from_float(0.5)); } _if_result_42; })); } _if_result_41; })); } _if_result_40; });
+  el_val_t sal_str = ({ el_val_t _if_result_65 = 0; if (str_eq(importance, EL_STR("critical"))) { _if_result_65 = (EL_STR("0.95")); } else { _if_result_65 = (({ el_val_t _if_result_66 = 0; if (str_eq(importance, EL_STR("high"))) { _if_result_66 = (EL_STR("0.75")); } else { _if_result_66 = (({ el_val_t _if_result_67 = 0; if (str_eq(importance, EL_STR("low"))) { _if_result_67 = (EL_STR("0.25")); } else { _if_result_67 = (EL_STR("0.50")); } _if_result_67; })); } _if_result_66; })); } _if_result_65; });
+  el_val_t sal = ({ el_val_t _if_result_68 = 0; if (str_eq(sal_str, EL_STR("0.95"))) { _if_result_68 = (el_from_float(0.95)); } else { _if_result_68 = (({ el_val_t _if_result_69 = 0; if (str_eq(sal_str, EL_STR("0.75"))) { _if_result_69 = (el_from_float(0.75)); } else { _if_result_69 = (({ el_val_t _if_result_70 = 0; if (str_eq(sal_str, EL_STR("0.25"))) { _if_result_70 = (el_from_float(0.25)); } else { _if_result_70 = (el_from_float(0.5)); } _if_result_70; })); } _if_result_69; })); } _if_result_68; });
   el_val_t tags = EL_STR("[\"Memory\",\"evolved\"]");
   el_val_t new_id = engram_node_full(content, EL_STR("Memory"), EL_STR("memory:evolved"), el_from_float(sal), el_from_float(sal), el_from_float(0.9), EL_STR("Episodic"), tags);
   if (!str_eq(prior_id, EL_STR("")) && !str_eq(new_id, EL_STR(""))) {
@@ -456,6 +716,46 @@ el_val_t handle_api_evolve_memory(el_val_t body) {
   return 0;
 }
 
+el_val_t handle_api_memory_delete(el_val_t body) {
+  el_val_t node_id = json_get(body, EL_STR("id"));
+  if (str_eq(node_id, EL_STR(""))) {
+    return api_err(EL_STR("id is required"));
+  }
+  if (is_protected_node(node_id)) {
+    return api_err_protected(node_id);
+  }
+  el_val_t existing = engram_get_node_json(node_id);
+  if (str_eq(existing, EL_STR("{}"))) {
+    return api_err(el_str_concat(EL_STR("memory not found: "), node_id));
+  }
+  el_val_t marker = tombstone_node(node_id);
+  if (str_eq(marker, EL_STR(""))) {
+    return api_err(el_str_concat(EL_STR("tombstone failed: "), node_id));
+  }
+  return el_str_concat(el_str_concat(EL_STR("{\"ok\":true,\"id\":\""), node_id), EL_STR("\",\"tombstoned\":true}"));
+  return 0;
+}
+
+el_val_t handle_api_memory_update(el_val_t body) {
+  el_val_t prior_id = json_get(body, EL_STR("id"));
+  el_val_t content = json_get(body, EL_STR("content"));
+  if (str_eq(prior_id, EL_STR(""))) {
+    return api_err(EL_STR("id is required"));
+  }
+  if (str_eq(content, EL_STR(""))) {
+    return api_err(EL_STR("content is required"));
+  }
+  if (is_protected_node(prior_id)) {
+    return api_err_protected(prior_id);
+  }
+  el_val_t existing = engram_get_node_json(prior_id);
+  if (str_eq(existing, EL_STR("{}"))) {
+    return api_err(el_str_concat(EL_STR("memory not found: "), prior_id));
+  }
+  return handle_api_evolve_memory(body);
+  return 0;
+}
+
 el_val_t handle_api_cultivate(el_val_t body) {
   el_val_t op = json_get(body, EL_STR("operation"));
   if (str_eq(op, EL_STR(""))) {
@@ -481,7 +781,7 @@ el_val_t handle_api_cultivate(el_val_t body) {
       return api_err(EL_STR("content is required"));
     }
     el_val_t importance = json_get(body, EL_STR("importance"));
-    el_val_t sal = ({ el_val_t _if_result_43 = 0; if (str_eq(importance, EL_STR("critical"))) { _if_result_43 = (el_from_float(0.95)); } else { _if_result_43 = (({ el_val_t _if_result_44 = 0; if (str_eq(importance, EL_STR("high"))) { _if_result_44 = (el_from_float(0.75)); } else { _if_result_44 = (({ el_val_t _if_result_45 = 0; if (str_eq(importance, EL_STR("low"))) { _if_result_45 = (el_from_float(0.25)); } else { _if_result_45 = (el_from_float(0.5)); } _if_result_45; })); } _if_result_44; })); } _if_result_43; });
+    el_val_t sal = ({ el_val_t _if_result_71 = 0; if (str_eq(importance, EL_STR("critical"))) { _if_result_71 = (el_from_float(0.95)); } else { _if_result_71 = (({ el_val_t _if_result_72 = 0; if (str_eq(importance, EL_STR("high"))) { _if_result_72 = (el_from_float(0.75)); } else { _if_result_72 = (({ el_val_t _if_result_73 = 0; if (str_eq(importance, EL_STR("low"))) { _if_result_73 = (el_from_float(0.25)); } else { _if_result_73 = (el_from_float(0.5)); } _if_result_73; })); } _if_result_72; })); } _if_result_71; });
     el_val_t tags = EL_STR("[\"Memory\",\"evolved\",\"cultivated\"]");
     el_val_t new_id = engram_node_full(content, EL_STR("Memory"), EL_STR("memory:cultivated"), el_from_float(sal), el_from_float(sal), el_from_float(0.9), EL_STR("Episodic"), tags);
     if (!str_eq(prior_id, EL_STR("")) && !str_eq(new_id, EL_STR(""))) {
@@ -495,7 +795,7 @@ el_val_t handle_api_cultivate(el_val_t body) {
       return api_err(EL_STR("id is required"));
     }
     mem_forget(node_id);
-    return el_str_concat(el_str_concat(EL_STR("{\"ok\":true,\"id\":\""), node_id), EL_STR("\",\"cultivated\":true}"));
+    return el_str_concat(el_str_concat(EL_STR("{\"ok\":true,\"id\":\""), node_id), EL_STR("\",\"tombstoned\":true,\"cultivated\":true}"));
   }
   if (str_eq(op, EL_STR("link_entities"))) {
     el_val_t from_id = json_get(body, EL_STR("from_id"));
@@ -507,7 +807,7 @@ el_val_t handle_api_cultivate(el_val_t body) {
       return api_err(EL_STR("to_id is required"));
     }
     el_val_t relation = json_get(body, EL_STR("relation"));
-    el_val_t eff_relation = ({ el_val_t _if_result_46 = 0; if (str_eq(relation, EL_STR(""))) { _if_result_46 = (EL_STR("associates")); } else { _if_result_46 = (relation); } _if_result_46; });
+    el_val_t eff_relation = ({ el_val_t _if_result_74 = 0; if (str_eq(relation, EL_STR(""))) { _if_result_74 = (EL_STR("associates")); } else { _if_result_74 = (relation); } _if_result_74; });
     engram_connect(from_id, to_id, el_from_float(0.5), eff_relation);
     return el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"ok\":true,\"from_id\":\""), from_id), EL_STR("\",\"to_id\":\"")), to_id), EL_STR("\",\"relation\":\"")), eff_relation), EL_STR("\",\"cultivated\":true}"));
   }
@@ -517,7 +817,8 @@ el_val_t handle_api_cultivate(el_val_t body) {
 
 el_val_t handle_api_list_typed(el_val_t node_type, el_val_t path, el_val_t body) {
   el_val_t limit = api_query_int(path, EL_STR("limit"), 50);
-  return api_or_empty(engram_scan_nodes_by_type_json(node_type, limit, 0));
+  el_val_t raw = api_or_empty(engram_scan_nodes_by_type_json(node_type, limit, 0));
+  return memory_hide_tombstoned(raw, path);
   return 0;
 }
 
@@ -525,12 +826,18 @@ el_val_t handle_api_consolidate(el_val_t body) {
   el_val_t summary = json_get(body, EL_STR("summary"));
   el_val_t snap = state_get(EL_STR("soul_snapshot_path"));
   if (!str_eq(snap, EL_STR(""))) {
-    engram_save(snap);
+    el_val_t save_result = engram_save(snap);
+    if (str_eq(save_result, EL_STR(""))) {
+      println(el_str_concat(el_str_concat(EL_STR("[api] consolidate: engram_save failed for "), snap), EL_STR(" \xe2\x80\x94 snapshot may be out of sync")));
+    }
   }
   if (!str_eq(summary, EL_STR(""))) {
     el_val_t safe_summary = str_replace(summary, EL_STR("\""), EL_STR("'"));
     el_val_t tags = EL_STR("[\"SessionSummary\",\"consolidate\"]");
-    el_val_t discard = engram_node_full(el_str_concat(EL_STR("[session-summary] "), safe_summary), EL_STR("SessionSummary"), EL_STR("session:summary"), el_from_float(0.7), el_from_float(0.7), el_from_float(0.9), EL_STR("Episodic"), tags);
+    el_val_t summary_id = engram_node_full(el_str_concat(EL_STR("[session-summary] "), safe_summary), EL_STR("SessionSummary"), EL_STR("session:summary"), el_from_float(0.7), el_from_float(0.7), el_from_float(0.9), EL_STR("Episodic"), tags);
+    if (str_eq(summary_id, EL_STR(""))) {
+      println(EL_STR("[api] consolidate: session summary engram write failed \xe2\x80\x94 summary node lost"));
+    }
   }
   return el_str_concat(el_str_concat(EL_STR("{\"ok\":true,\"snapshot\":\""), snap), EL_STR("\"}"));
   return 0;

dist/neuron-api.elh

@@ -1,32 +0,0 @@
-// auto-generated by elc --emit-header — do not edit
-extern fn is_protected_node(id: String) -> Bool
-extern fn api_err_protected(id: String) -> String
-extern fn api_json_escape(s: String) -> String
-extern fn api_query_param(path: String, key: String) -> String
-extern fn api_query_int(path: String, key: String, default_val: Int) -> Int
-extern fn api_ok(extra: String) -> String
-extern fn api_err(msg: String) -> String
-extern fn api_nonempty(s: String) -> Bool
-extern fn api_or_empty(s: String) -> String
-extern fn handle_api_begin_session(body: String) -> String
-extern fn handle_api_compile_ctx(body: String) -> String
-extern fn handle_api_remember(body: String) -> String
-extern fn handle_api_recall(method: String, path: String, body: String) -> String
-extern fn handle_api_search_knowledge(method: String, path: String, body: String) -> String
-extern fn handle_api_browse_knowledge(path: String, body: String) -> String
-extern fn handle_api_capture_knowledge(body: String) -> String
-extern fn handle_api_evolve_knowledge(body: String) -> String
-extern fn handle_api_promote_knowledge(body: String) -> String
-extern fn handle_api_browse_processes(method: String, path: String, body: String) -> String
-extern fn handle_api_define_process(body: String) -> String
-extern fn handle_api_log_state_event(body: String) -> String
-extern fn handle_api_list_state_events(method: String, path: String, body: String) -> String
-extern fn handle_api_inspect_config(path: String, body: String) -> String
-extern fn handle_api_tune_config(body: String) -> String
-extern fn handle_api_inspect_graph(method: String, path: String, body: String) -> String
-extern fn handle_api_link_entities(body: String) -> String
-extern fn handle_api_forget(body: String) -> String
-extern fn handle_api_evolve_memory(body: String) -> String
-extern fn handle_api_cultivate(body: String) -> String
-extern fn handle_api_list_typed(node_type: String, path: String, body: String) -> String
-extern fn handle_api_consolidate(body: String) -> String

dist/realizer.elh

@@ -1,10 +0,0 @@
-// auto-generated by elc --emit-header — do not edit
-extern fn agent_person(agent: String) -> String
-extern fn agent_number(agent: String) -> String
-extern fn realize_np(referent: String, number: String) -> String
-extern fn realize_vp_lang(base_verb: String, tense: String, aspect: String, person: String, number: String, profile: Any) -> Any
-extern fn realize_question_lang(predicate: String, tense: String, aspect: String, person: String, number: String, agent: String, patient: String, location: String, profile: Any) -> String
-extern fn capitalize_first(s: String) -> String
-extern fn add_punct(s: String, intent: String) -> String
-extern fn realize_lang(form: Any, profile: Any) -> String
-extern fn realize(form: Any) -> String

dist/routes.c

@@ -10,6 +10,7 @@ el_val_t mem_remember(el_val_t content, el_val_t tags);
 el_val_t mem_recall(el_val_t query, el_val_t depth);
 el_val_t mem_search(el_val_t query, el_val_t limit);
 el_val_t mem_strengthen(el_val_t node_id);
+el_val_t mem_tombstone(el_val_t node_id);
 el_val_t mem_forget(el_val_t node_id);
 el_val_t mem_consolidate(void);
 el_val_t mem_save(el_val_t path);
@@ -20,7 +21,13 @@ el_val_t mem_emit_state_event(el_val_t trigger, el_val_t kind, el_val_t content)
 el_val_t idle_count(void);
 el_val_t idle_inc(void);
 el_val_t idle_reset(void);
+el_val_t ise_post(el_val_t content);
+el_val_t elapsed_ms(void);
+el_val_t elapsed_human(void);
+el_val_t embed_ok(void);
 el_val_t emit_heartbeat(void);
+el_val_t auto_term_try_slot(el_val_t slot_type, el_val_t slot_lbl);
+el_val_t proactive_curiosity(void);
 el_val_t pulse_count(void);
 el_val_t pulse_inc(void);
 el_val_t make_action(el_val_t kind, el_val_t payload);
@@ -37,30 +44,73 @@ el_val_t threat_score_history(el_val_t history);
 el_val_t threat_trajectory_check(el_val_t tool_name, el_val_t tool_input);
 el_val_t threat_history_append(el_val_t text);
 el_val_t chat_default_model(void);
-el_val_t gemini_api_key(void);
-el_val_t xai_api_key(void);
-el_val_t llm_call_grok(el_val_t model, el_val_t system, el_val_t message);
-el_val_t llm_call_gemini(el_val_t model, el_val_t system, el_val_t message);
-el_val_t build_identity_from_graph(void);
+el_val_t engram_numeric_valid(el_val_t s);
+el_val_t parse_float_x100(el_val_t s);
+el_val_t engram_score_node(el_val_t node_json);
+el_val_t engram_render_node(el_val_t node_json);
+el_val_t engram_render_nodes(el_val_t nodes_json);
+el_val_t engram_dedup_nodes(el_val_t nodes_json);
+el_val_t engram_compile_ranked(el_val_t nodes_json, el_val_t max_nodes);
+el_val_t engram_split_topics(el_val_t message);
+el_val_t engram_extract_entities(el_val_t message);
+el_val_t engram_detect_recall_intent(el_val_t message);
+el_val_t engram_is_continuation(el_val_t message, el_val_t hist_len);
+el_val_t engram_compile_multi(el_val_t topic);
+el_val_t engram_nodes_merge(el_val_t a, el_val_t b);
+el_val_t id_in_seen(el_val_t node_id, el_val_t seen);
+el_val_t add_to_seen(el_val_t seen, el_val_t node_id);
+el_val_t engram_extract_ids(el_val_t nodes_json);
 el_val_t engram_compile(el_val_t intent);
+el_val_t distill_transcript(el_val_t transcript);
 el_val_t json_safe(el_val_t s);
-el_val_t build_system_prompt(el_val_t ctx);
+el_val_t current_engine_note(el_val_t model);
+el_val_t bounded_persona_floor(void);
+el_val_t build_system_prompt(el_val_t ctx, el_val_t chat_mode);
 el_val_t hist_append(el_val_t hist, el_val_t role, el_val_t content);
 el_val_t hist_trim(el_val_t hist);
+el_val_t hist_trim_with_bell_guard(el_val_t hist);
 el_val_t clean_llm_response(el_val_t s);
 el_val_t conv_history_persist(el_val_t hist);
 el_val_t conv_history_load(void);
+el_val_t session_preload_bullets(el_val_t nodes, el_val_t max_bullets, el_val_t snip_len);
+el_val_t affective_context_prefix(void);
 el_val_t handle_chat(el_val_t body);
 el_val_t handle_see(el_val_t body);
 el_val_t studio_tools_json(void);
 el_val_t agentic_api_key(void);
-el_val_t call_neuron_mcp(el_val_t tool_name, el_val_t args_json);
+el_val_t llm_base_url(void);
+el_val_t llm_wire_format(void);
+el_val_t json_escape(el_val_t s);
+el_val_t openai_chat_complete(el_val_t model, el_val_t base_url, el_val_t api_key, el_val_t safe_sys, el_val_t messages_json);
 el_val_t agentic_tools_literal(void);
+el_val_t agentic_tools_with_web(void);
+el_val_t connector_tools_json(void);
+el_val_t agentic_tools_all(void);
+el_val_t call_mcp_bridge(el_val_t tool_name, el_val_t tool_input);
+el_val_t tool_auto_approved(el_val_t tool_name);
+el_val_t call_neuron_mcp(el_val_t tool_name, el_val_t args);
+el_val_t agent_workspace_root(void);
+el_val_t path_within_root(el_val_t path, el_val_t root);
+el_val_t resolve_in_root(el_val_t path, el_val_t root);
+el_val_t run_command_is_readonly(el_val_t cmd);
+el_val_t cmd_abs_escape_at(el_val_t cmd, el_val_t root, el_val_t needle);
+el_val_t run_command_guard(el_val_t cmd, el_val_t root);
+el_val_t classify_tool_risk(el_val_t tool_name, el_val_t tool_input);
 el_val_t dispatch_tool(el_val_t tool_name, el_val_t tool_input);
+el_val_t is_builtin_tool(el_val_t tool_name);
+el_val_t next_bridge_id(void);
+el_val_t handle_chat_plan(el_val_t body);
 el_val_t handle_chat_agentic(el_val_t body);
+el_val_t agentic_loop(el_val_t session_id, el_val_t model, el_val_t safe_sys, el_val_t tools_json, el_val_t messages_in, el_val_t h, el_val_t tools_log_in);
+el_val_t bridge_save(el_val_t session_id, el_val_t model, el_val_t safe_sys, el_val_t tools_json, el_val_t messages, el_val_t tools_log, el_val_t tool_use_id);
+el_val_t agentic_resume(el_val_t session_id, el_val_t tool_use_id, el_val_t content);
+el_val_t handle_tool_result(el_val_t session_id, el_val_t body);
 el_val_t handle_chat_as_soul(el_val_t body);
 el_val_t handle_dharma_room_turn(el_val_t body);
 el_val_t handle_dharma_room_turn_agentic(el_val_t body);
+el_val_t session_summary_write(el_val_t summary_text);
+el_val_t session_summary_write_dated(el_val_t summary_text, el_val_t label);
+el_val_t session_summary_autogenerate(el_val_t hist);
 el_val_t auto_persist(el_val_t req, el_val_t resp);
 el_val_t strengthen_chat_nodes(el_val_t activation_nodes);
 el_val_t auth_headers(el_val_t tok);
@@ -87,9 +137,17 @@ el_val_t api_ok(el_val_t extra);
 el_val_t api_err(el_val_t msg);
 el_val_t api_nonempty(el_val_t s);
 el_val_t api_or_empty(el_val_t s);
+el_val_t api_persisted(el_val_t id);
+el_val_t api_not_persisted(el_val_t id);
+el_val_t tombstone_node(el_val_t id);
+el_val_t tombstoned_id_set(void);
+el_val_t memory_hide_tombstoned(el_val_t raw, el_val_t path);
 el_val_t handle_api_begin_session(el_val_t body);
 el_val_t handle_api_compile_ctx(el_val_t body);
 el_val_t handle_api_remember(el_val_t body);
+el_val_t handle_api_node_create(el_val_t body);
+el_val_t handle_api_node_delete(el_val_t body);
+el_val_t handle_api_node_update(el_val_t body);
 el_val_t handle_api_recall(el_val_t method, el_val_t path, el_val_t body);
 el_val_t handle_api_search_knowledge(el_val_t method, el_val_t path, el_val_t body);
 el_val_t handle_api_browse_knowledge(el_val_t path, el_val_t body);
@@ -106,9 +164,29 @@ el_val_t handle_api_inspect_graph(el_val_t method, el_val_t path, el_val_t body)
 el_val_t handle_api_link_entities(el_val_t body);
 el_val_t handle_api_forget(el_val_t body);
 el_val_t handle_api_evolve_memory(el_val_t body);
+el_val_t handle_api_memory_delete(el_val_t body);
+el_val_t handle_api_memory_update(el_val_t body);
 el_val_t handle_api_cultivate(el_val_t body);
 el_val_t handle_api_list_typed(el_val_t node_type, el_val_t path, el_val_t body);
 el_val_t handle_api_consolidate(el_val_t body);
+el_val_t session_title_from_message(el_val_t message);
+el_val_t session_make_content(el_val_t id, el_val_t title, el_val_t created_at, el_val_t updated_at, el_val_t folder);
+el_val_t session_exists(el_val_t session_id);
+el_val_t session_create(el_val_t body);
+el_val_t session_create_cleanup(el_val_t session_id);
+el_val_t session_list(void);
+el_val_t session_get(el_val_t session_id);
+el_val_t session_delete(el_val_t session_id);
+el_val_t session_update_patch(el_val_t session_id, el_val_t body);
+el_val_t session_search_entry(el_val_t node);
+el_val_t session_search(el_val_t query);
+el_val_t session_hist_load(el_val_t session_id);
+el_val_t session_hist_save(el_val_t session_id, el_val_t hist);
+el_val_t session_update_meta_timestamp(el_val_t session_id);
+el_val_t session_auto_title(el_val_t session_id, el_val_t first_message);
+el_val_t handle_session_approve(el_val_t session_id, el_val_t body);
+el_val_t flag_true(el_val_t body, el_val_t key);
+el_val_t rate_limit_check(el_val_t ip, el_val_t path);
 el_val_t strip_query(el_val_t path);
 el_val_t err_404(el_val_t path);
 el_val_t err_405(el_val_t method, el_val_t path);
@@ -118,9 +196,45 @@ el_val_t route_imprint_contextual(el_val_t body);
 el_val_t route_imprint_user(el_val_t body);
 el_val_t route_synthesize(el_val_t body);
 el_val_t handle_dharma_recv(el_val_t body);
-el_val_t route_sessions(void);
+el_val_t connectd_get(el_val_t suffix);
+el_val_t connectd_post(el_val_t suffix, el_val_t body);
+el_val_t handle_connectors(el_val_t method, el_val_t clean, el_val_t body);
 el_val_t handle_request(el_val_t method, el_val_t path, el_val_t body);
 
+el_val_t flag_true(el_val_t body, el_val_t key) {
+  return (json_get_bool(body, key) || (json_get_int(body, key) > 0));
+  return 0;
+}
+
+el_val_t rate_limit_check(el_val_t ip, el_val_t path) {
+  if (str_eq(path, EL_STR("/health"))) {
+    return EL_STR("");
+  }
+  el_val_t limit_str = state_get(EL_STR("soul_rate_limit"));
+  el_val_t limit = ({ el_val_t _if_result_1 = 0; if (str_eq(limit_str, EL_STR(""))) { _if_result_1 = (60); } else { _if_result_1 = (str_to_int(limit_str)); } _if_result_1; });
+  el_val_t now = time_now();
+  el_val_t window_key = el_str_concat(el_str_concat(EL_STR("rl:"), ip), EL_STR(":window"));
+  el_val_t count_key = el_str_concat(el_str_concat(EL_STR("rl:"), ip), EL_STR(":count"));
+  el_val_t win_str = state_get(window_key);
+  el_val_t win_start = ({ el_val_t _if_result_2 = 0; if (str_eq(win_str, EL_STR(""))) { _if_result_2 = (now); } else { _if_result_2 = (str_to_int(win_str)); } _if_result_2; });
+  el_val_t elapsed = (now - win_start);
+  el_val_t in_window = (elapsed < 60);
+  el_val_t prev_count_str = state_get(count_key);
+  el_val_t prev_count = ({ el_val_t _if_result_3 = 0; if (str_eq(prev_count_str, EL_STR(""))) { _if_result_3 = (0); } else { _if_result_3 = (str_to_int(prev_count_str)); } _if_result_3; });
+  el_val_t eff_count = ({ el_val_t _if_result_4 = 0; if (in_window) { _if_result_4 = (prev_count); } else { _if_result_4 = (0); } _if_result_4; });
+  el_val_t eff_win = ({ el_val_t _if_result_5 = 0; if (in_window) { _if_result_5 = (win_start); } else { _if_result_5 = (now); } _if_result_5; });
+  el_val_t new_count = (eff_count + 1);
+  state_set(count_key, int_to_str(new_count));
+  state_set(window_key, int_to_str(eff_win));
+  if (new_count > limit) {
+    el_val_t retry_after = (60 - (now - eff_win));
+    el_val_t eff_retry = ({ el_val_t _if_result_6 = 0; if ((retry_after < 0)) { _if_result_6 = (0); } else { _if_result_6 = (retry_after); } _if_result_6; });
+    return el_str_concat(el_str_concat(EL_STR("{\"__status__\":429,\"error\":\"rate limit exceeded\",\"code\":\"rate_limited\",\"retry_after_secs\":"), int_to_str(eff_retry)), EL_STR("}"));
+  }
+  return EL_STR("");
+  return 0;
+}
+
 el_val_t strip_query(el_val_t path) {
   el_val_t q = str_index_of(path, EL_STR("?"));
   if (q < 0) {
@@ -131,24 +245,31 @@ el_val_t strip_query(el_val_t path) {
 }
 
 el_val_t err_404(el_val_t path) {
-  return el_str_concat(el_str_concat(EL_STR("{\"error\":\"not found\",\"path\":\""), path), EL_STR("\"}"));
+  return el_str_concat(el_str_concat(EL_STR("{\"error\":\"not found\",\"code\":\"not_found\",\"path\":\""), path), EL_STR("\"}"));
   return 0;
 }
 
 el_val_t err_405(el_val_t method, el_val_t path) {
-  return el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"error\":\"method not allowed\",\"method\":\""), method), EL_STR("\",\"path\":\"")), path), EL_STR("\"}"));
+  return el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"error\":\"method not allowed\",\"code\":\"method_not_allowed\",\"method\":\""), method), EL_STR("\",\"path\":\"")), path), EL_STR("\"}"));
   return 0;
 }
 
 el_val_t route_health(void) {
   el_val_t cgi_id = state_get(EL_STR("soul_cgi_id"));
   el_val_t boot = state_get(EL_STR("soul_boot_count"));
-  el_val_t boot_num = ({ el_val_t _if_result_1 = 0; if (str_eq(boot, EL_STR(""))) { _if_result_1 = (EL_STR("0")); } else { _if_result_1 = (boot); } _if_result_1; });
+  el_val_t boot_num = ({ el_val_t _if_result_7 = 0; if (str_eq(boot, EL_STR(""))) { _if_result_7 = (EL_STR("0")); } else { _if_result_7 = (boot); } _if_result_7; });
   el_val_t node_ct = engram_node_count();
   el_val_t edge_ct = engram_edge_count();
   el_val_t pulse = state_get(EL_STR("soul.pulse"));
-  el_val_t pulse_num = ({ el_val_t _if_result_2 = 0; if (str_eq(pulse, EL_STR(""))) { _if_result_2 = (EL_STR("0")); } else { _if_result_2 = (pulse); } _if_result_2; });
-  return el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"status\":\"alive\""), EL_STR(",\"cgi_id\":\"")), cgi_id), EL_STR("\"")), EL_STR(",\"boot\":")), boot_num), EL_STR(",\"node_count\":")), int_to_str(node_ct)), EL_STR(",\"edge_count\":")), int_to_str(edge_ct)), EL_STR(",\"pulse\":")), pulse_num), EL_STR("}"));
+  el_val_t pulse_num = ({ el_val_t _if_result_8 = 0; if (str_eq(pulse, EL_STR(""))) { _if_result_8 = (EL_STR("0")); } else { _if_result_8 = (pulse); } _if_result_8; });
+  el_val_t boot_ts_str = state_get(EL_STR("soul_boot_ts"));
+  el_val_t uptime_secs = ({ el_val_t _if_result_9 = 0; if (str_eq(boot_ts_str, EL_STR(""))) { _if_result_9 = ((-1)); } else { _if_result_9 = ((time_now() - str_to_int(boot_ts_str))); } _if_result_9; });
+  el_val_t model = state_get(EL_STR("soul_model"));
+  el_val_t eff_model = ({ el_val_t _if_result_10 = 0; if (str_eq(model, EL_STR(""))) { _if_result_10 = (EL_STR("claude-sonnet-4-5")); } else { _if_result_10 = (model); } _if_result_10; });
+  el_val_t llm_probe = llm_call_system(eff_model, EL_STR("You are a health probe. Reply with the single word: ok"), EL_STR("ping"));
+  el_val_t llm_ok = (((!str_eq(llm_probe, EL_STR("")) && !str_starts_with(llm_probe, EL_STR("{\"error\""))) && !str_starts_with(llm_probe, EL_STR("{\"type\":\"error\""))) && !str_contains(llm_probe, EL_STR("authentication_error")));
+  el_val_t llm_status = ({ el_val_t _if_result_11 = 0; if (llm_ok) { _if_result_11 = (EL_STR("ok")); } else { _if_result_11 = (EL_STR("unreachable")); } _if_result_11; });
+  return el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"status\":\"alive\""), EL_STR(",\"cgi_id\":\"")), cgi_id), EL_STR("\"")), EL_STR(",\"boot\":")), boot_num), EL_STR(",\"uptime_secs\":")), int_to_str(uptime_secs)), EL_STR(",\"node_count\":")), int_to_str(node_ct)), EL_STR(",\"edge_count\":")), int_to_str(edge_ct)), EL_STR(",\"pulse\":")), pulse_num), EL_STR(",\"llm\":\"")), llm_status), EL_STR("\"")), EL_STR(",\"layers\":{\"l0\":\"core\",\"l1\":\"safety\",\"l2\":\"stewardship\",\"l3\":\"")), imprint_current()), EL_STR("\"}}"));
   return 0;
 }
 
@@ -195,15 +316,15 @@ el_val_t route_imprint_user(el_val_t body) {
 
 el_val_t route_synthesize(el_val_t body) {
   if (str_eq(body, EL_STR(""))) {
-    return EL_STR("{\"mechanism\":\"did not engage\"}");
+    return EL_STR("{\"error\":\"body is required\",\"code\":\"missing_param\"}");
   }
   el_val_t parent_a = json_get(body, EL_STR("parent_a"));
   el_val_t parent_b = json_get(body, EL_STR("parent_b"));
   if (str_eq(parent_a, EL_STR(""))) {
-    return EL_STR("{\"mechanism\":\"did not engage\"}");
+    return EL_STR("{\"error\":\"parent_a is required\",\"code\":\"missing_param\"}");
   }
   if (str_eq(parent_b, EL_STR(""))) {
-    return EL_STR("{\"mechanism\":\"did not engage\"}");
+    return EL_STR("{\"error\":\"parent_b is required\",\"code\":\"missing_param\"}");
   }
   el_val_t req = el_str_concat(el_str_concat(el_str_concat(EL_STR("synthesize "), parent_a), EL_STR(" ")), parent_b);
   el_val_t tags = EL_STR("[\"soul-inbox-pending\",\"synthesis-request\"]");
@@ -217,28 +338,30 @@ el_val_t handle_dharma_recv(el_val_t body) {
   el_val_t from_id = json_get(body, EL_STR("from"));
   el_val_t event_type = json_get(content_raw, EL_STR("event_type"));
   el_val_t payload = json_get(content_raw, EL_STR("payload"));
-  el_val_t eff_event = ({ el_val_t _if_result_3 = 0; if (str_eq(event_type, EL_STR(""))) { _if_result_3 = (EL_STR("chat")); } else { _if_result_3 = (event_type); } _if_result_3; });
-  el_val_t eff_payload = ({ el_val_t _if_result_4 = 0; if (str_eq(payload, EL_STR(""))) { _if_result_4 = (content_raw); } else { _if_result_4 = (payload); } _if_result_4; });
+  el_val_t eff_event = ({ el_val_t _if_result_12 = 0; if (str_eq(event_type, EL_STR(""))) { _if_result_12 = (EL_STR("chat")); } else { _if_result_12 = (event_type); } _if_result_12; });
+  el_val_t eff_payload = ({ el_val_t _if_result_13 = 0; if (str_eq(payload, EL_STR(""))) { _if_result_13 = (content_raw); } else { _if_result_13 = (payload); } _if_result_13; });
   if (str_eq(eff_event, EL_STR("chat"))) {
     el_val_t msg = json_get(eff_payload, EL_STR("message"));
-    el_val_t chat_body = ({ el_val_t _if_result_5 = 0; if (str_eq(msg, EL_STR(""))) { _if_result_5 = (el_str_concat(el_str_concat(EL_STR("{\"message\":\""), str_replace(str_replace(eff_payload, EL_STR("\\"), EL_STR("\\\\")), EL_STR("\""), EL_STR("\\\""))), EL_STR("\"}"))); } else { _if_result_5 = (eff_payload); } _if_result_5; });
+    el_val_t chat_body = ({ el_val_t _if_result_14 = 0; if (str_eq(msg, EL_STR(""))) { _if_result_14 = (el_str_concat(el_str_concat(EL_STR("{\"message\":\""), str_replace(str_replace(eff_payload, EL_STR("\\"), EL_STR("\\\\")), EL_STR("\""), EL_STR("\\\""))), EL_STR("\"}"))); } else { _if_result_14 = (eff_payload); } _if_result_14; });
     el_val_t agentic_flag = json_get_bool(eff_payload, EL_STR("agentic"));
-    el_val_t reply = ({ el_val_t _if_result_6 = 0; if (agentic_flag) { _if_result_6 = (handle_chat_agentic(chat_body)); } else { _if_result_6 = (handle_chat(chat_body)); } _if_result_6; });
+    el_val_t raw_msg = json_get(chat_body, EL_STR("message"));
+    el_val_t req_mode = json_get(chat_body, EL_STR("mode"));
+    el_val_t reply = ({ el_val_t _if_result_15 = 0; if (str_eq(req_mode, EL_STR("plan"))) { _if_result_15 = (handle_chat_plan(chat_body)); } else { _if_result_15 = (({ el_val_t _if_result_16 = 0; if (agentic_flag) { _if_result_16 = (handle_chat_agentic(chat_body)); } else { el_val_t screened_reply = layered_cycle(raw_msg); _if_result_16 = (screened_reply); } _if_result_16; })); } _if_result_15; });
     auto_persist(chat_body, reply);
     return reply;
   }
   if (str_eq(eff_event, EL_STR("memory"))) {
     el_val_t query = json_get(eff_payload, EL_STR("query"));
     el_val_t limit_str = json_get(eff_payload, EL_STR("limit"));
-    el_val_t limit = ({ el_val_t _if_result_7 = 0; if (str_eq(limit_str, EL_STR(""))) { _if_result_7 = (20); } else { _if_result_7 = (str_to_int(limit_str)); } _if_result_7; });
-    el_val_t q = ({ el_val_t _if_result_8 = 0; if (str_eq(query, EL_STR(""))) { _if_result_8 = (eff_payload); } else { _if_result_8 = (query); } _if_result_8; });
+    el_val_t limit = ({ el_val_t _if_result_17 = 0; if (str_eq(limit_str, EL_STR(""))) { _if_result_17 = (20); } else { _if_result_17 = (str_to_int(limit_str)); } _if_result_17; });
+    el_val_t q = ({ el_val_t _if_result_18 = 0; if (str_eq(query, EL_STR(""))) { _if_result_18 = (eff_payload); } else { _if_result_18 = (query); } _if_result_18; });
     return engram_search_json(q, limit);
   }
   if (str_eq(eff_event, EL_STR("tool"))) {
     el_val_t path_field = json_get(eff_payload, EL_STR("path"));
     el_val_t method_field = json_get(eff_payload, EL_STR("method"));
     el_val_t tool_body = json_get(eff_payload, EL_STR("body"));
-    el_val_t eff_method = ({ el_val_t _if_result_9 = 0; if (str_eq(method_field, EL_STR(""))) { _if_result_9 = (EL_STR("POST")); } else { _if_result_9 = (method_field); } _if_result_9; });
+    el_val_t eff_method = ({ el_val_t _if_result_19 = 0; if (str_eq(method_field, EL_STR(""))) { _if_result_19 = (EL_STR("POST")); } else { _if_result_19 = (method_field); } _if_result_19; });
     return handle_tool(path_field, eff_method, tool_body);
   }
   if (str_eq(eff_event, EL_STR("see"))) {
@@ -263,20 +386,66 @@ el_val_t handle_dharma_recv(el_val_t body) {
   return 0;
 }
 
-el_val_t route_sessions(void) {
-  el_val_t results = engram_search_json(EL_STR("session-start"), 20);
-  if (str_eq(results, EL_STR(""))) {
-    return EL_STR("[]");
+el_val_t connectd_get(el_val_t suffix) {
+  el_val_t out = exec_capture(el_str_concat(EL_STR("curl -s --max-time 5 http://127.0.0.1:7771"), suffix));
+  if (str_eq(out, EL_STR(""))) {
+    return EL_STR("{\"ok\":false,\"error\":\"connector bridge unreachable (neuron-connectd on :7771)\"}");
   }
-  if (str_eq(results, EL_STR("[]"))) {
-    return EL_STR("[]");
+  return out;
+  return 0;
+}
+
+el_val_t connectd_post(el_val_t suffix, el_val_t body) {
+  el_val_t eff = ({ el_val_t _if_result_20 = 0; if (str_eq(body, EL_STR(""))) { _if_result_20 = (EL_STR("{}")); } else { _if_result_20 = (body); } _if_result_20; });
+  el_val_t tmp = el_str_concat(el_str_concat(EL_STR("/tmp/neuron-connectors-req-"), int_to_str(time_now())), EL_STR(".json"));
+  fs_write(tmp, eff);
+  el_val_t out = exec_capture(el_str_concat(el_str_concat(el_str_concat(EL_STR("curl -s --max-time 20 -X POST http://127.0.0.1:7771"), suffix), EL_STR(" -H 'Content-Type: application/json' -d @")), tmp));
+  if (str_eq(out, EL_STR(""))) {
+    return EL_STR("{\"ok\":false,\"error\":\"connector bridge unreachable (neuron-connectd on :7771)\"}");
   }
-  return results;
+  return out;
+  return 0;
+}
+
+el_val_t handle_connectors(el_val_t method, el_val_t clean, el_val_t body) {
+  if (str_eq(method, EL_STR("GET"))) {
+    return connectd_get(EL_STR("/mcp/servers"));
+  }
+  if (str_eq(clean, EL_STR("/api/connectors/add"))) {
+    return connectd_post(EL_STR("/mcp/servers/add"), body);
+  }
+  if (str_eq(clean, EL_STR("/api/connectors/toggle"))) {
+    return connectd_post(EL_STR("/mcp/servers/toggle"), body);
+  }
+  if (str_eq(clean, EL_STR("/api/connectors/auto-approve"))) {
+    return connectd_post(EL_STR("/mcp/servers/auto-approve"), body);
+  }
+  if (str_eq(clean, EL_STR("/api/connectors/remove"))) {
+    return connectd_post(EL_STR("/mcp/servers/remove"), body);
+  }
+  if (str_eq(clean, EL_STR("/api/connectors/secret"))) {
+    return connectd_post(EL_STR("/mcp/servers/secret"), body);
+  }
+  if (str_eq(clean, EL_STR("/api/connectors/oauth/start"))) {
+    return connectd_post(EL_STR("/mcp/oauth/start"), body);
+  }
+  if (str_eq(clean, EL_STR("/api/connectors/call"))) {
+    return connectd_post(EL_STR("/mcp/call"), body);
+  }
+  return EL_STR("{\"ok\":false,\"error\":\"unknown connectors route\"}");
   return 0;
 }
 
 el_val_t handle_request(el_val_t method, el_val_t path, el_val_t body) {
   el_val_t clean = strip_query(path);
+  state_set(EL_STR("soul.last_activity_ts"), int_to_str(time_now()));
+  el_val_t ip = env(EL_STR("REMOTE_ADDR"));
+  if (!str_eq(ip, EL_STR(""))) {
+    el_val_t rl_result = rate_limit_check(ip, clean);
+    if (!str_eq(rl_result, EL_STR(""))) {
+      return rl_result;
+    }
+  }
   if (str_eq(method, EL_STR("POST")) && str_eq(clean, EL_STR("/dharma/recv"))) {
     return handle_dharma_recv(body);
   }
@@ -284,9 +453,6 @@ el_val_t handle_request(el_val_t method, el_val_t path, el_val_t body) {
     if (str_eq(clean, EL_STR("/health"))) {
       return route_health();
     }
-    if (str_eq(clean, EL_STR("/api/sessions"))) {
-      return route_sessions();
-    }
     if (str_eq(clean, EL_STR("/lineage"))) {
       return route_lineage();
     }
@@ -298,10 +464,19 @@ el_val_t handle_request(el_val_t method, el_val_t path, el_val_t body) {
       engram_save(snap_path);
       el_val_t snap = fs_read(snap_path);
       el_val_t edges_raw = json_get_raw(snap, EL_STR("edges"));
-      return ({ el_val_t _if_result_10 = 0; if (str_eq(edges_raw, EL_STR(""))) { _if_result_10 = (EL_STR("[]")); } else { _if_result_10 = (edges_raw); } _if_result_10; });
+      return ({ el_val_t _if_result_21 = 0; if (str_eq(edges_raw, EL_STR(""))) { _if_result_21 = (EL_STR("[]")); } else { _if_result_21 = (edges_raw); } _if_result_21; });
     }
     if (str_eq(clean, EL_STR("/api/chat"))) {
-      return handle_chat(body);
+      el_val_t raw_msg = json_get(body, EL_STR("message"));
+      el_val_t eff_msg = ({ el_val_t _if_result_22 = 0; if (str_eq(raw_msg, EL_STR(""))) { _if_result_22 = (body); } else { _if_result_22 = (raw_msg); } _if_result_22; });
+      if (str_eq(eff_msg, EL_STR(""))) {
+        return EL_STR("{\"error\":\"message is required\",\"code\":\"missing_param\"}");
+      }
+      el_val_t agentic_flag = json_get_bool(body, EL_STR("agentic"));
+      el_val_t req_mode = json_get(body, EL_STR("mode"));
+      el_val_t reply = ({ el_val_t _if_result_23 = 0; if (str_eq(req_mode, EL_STR("plan"))) { _if_result_23 = (handle_chat_plan(body)); } else { _if_result_23 = (({ el_val_t _if_result_24 = 0; if (agentic_flag) { _if_result_24 = (handle_chat_agentic(body)); } else { el_val_t screened_reply = layered_cycle(eff_msg); _if_result_24 = (screened_reply); } _if_result_24; })); } _if_result_23; });
+      auto_persist(body, reply);
+      return reply;
     }
     if (str_eq(clean, EL_STR("/api/conversations"))) {
       return handle_conversations(method);
@@ -345,6 +520,9 @@ el_val_t handle_request(el_val_t method, el_val_t path, el_val_t body) {
     if (str_eq(clean, EL_STR("/api/neuron/ctx"))) {
       return handle_api_compile_ctx(EL_STR(""));
     }
+    if (str_eq(clean, EL_STR("/api/safety-contact"))) {
+      return handle_safety_contact_get();
+    }
     if (str_starts_with(clean, EL_STR("/api/neuron/knowledge/search"))) {
       return handle_api_search_knowledge(method, path, body);
     }
@@ -364,15 +542,55 @@ el_val_t handle_request(el_val_t method, el_val_t path, el_val_t body) {
       return handle_api_inspect_graph(method, path, body);
     }
     if (str_starts_with(clean, EL_STR("/api/neuron/list/"))) {
-      el_val_t node_type = str_slice(clean, 16, str_len(clean));
+      el_val_t node_type = str_slice(clean, 17, str_len(clean));
       return handle_api_list_typed(node_type, path, body);
     }
     if (str_starts_with(clean, EL_STR("/api/neuron/recall"))) {
       return handle_api_recall(method, path, body);
     }
+    if (str_starts_with(clean, EL_STR("/api/connectors"))) {
+      return handle_connectors(method, clean, body);
+    }
+    if (str_starts_with(clean, EL_STR("/api/run-progress/"))) {
+      el_val_t rp_id = str_slice(clean, 18, str_len(clean));
+      if (!str_eq(rp_id, EL_STR(""))) {
+        el_val_t rp_raw = state_get(el_str_concat(EL_STR("run_progress_"), rp_id));
+        el_val_t rp_arr = ({ el_val_t _if_result_25 = 0; if (str_eq(rp_raw, EL_STR(""))) { _if_result_25 = (EL_STR("[]")); } else { _if_result_25 = (el_str_concat(el_str_concat(EL_STR("["), rp_raw), EL_STR("]"))); } _if_result_25; });
+        return el_str_concat(el_str_concat(EL_STR("{\"progress\":"), rp_arr), EL_STR("}"));
+      }
+    }
+    if (str_eq(clean, EL_STR("/api/sessions"))) {
+      return session_list();
+    }
+    if (str_starts_with(clean, EL_STR("/api/sessions/"))) {
+      el_val_t gs_after = str_slice(clean, 14, str_len(clean));
+      el_val_t gs_slash = str_index_of(gs_after, EL_STR("/"));
+      el_val_t gs_id = ({ el_val_t _if_result_26 = 0; if ((gs_slash < 0)) { _if_result_26 = (gs_after); } else { _if_result_26 = (str_slice(gs_after, 0, gs_slash)); } _if_result_26; });
+      if (!str_eq(gs_id, EL_STR(""))) {
+        return session_get(gs_id);
+      }
+    }
     return err_404(clean);
   }
   if (str_eq(method, EL_STR("POST"))) {
+    if (str_eq(clean, EL_STR("/api/sessions"))) {
+      return session_create(body);
+    }
+    if (str_starts_with(clean, EL_STR("/api/sessions/")) && str_ends_with(clean, EL_STR("/tool_result"))) {
+      el_val_t after = str_slice(clean, 14, str_len(clean));
+      el_val_t slash = str_index_of(after, EL_STR("/"));
+      el_val_t session_id = ({ el_val_t _if_result_27 = 0; if ((slash < 0)) { _if_result_27 = (after); } else { _if_result_27 = (str_slice(after, 0, slash)); } _if_result_27; });
+      return handle_tool_result(session_id, body);
+    }
+    if (str_starts_with(clean, EL_STR("/api/sessions/"))) {
+      el_val_t sess_after = str_slice(clean, 14, str_len(clean));
+      el_val_t sess_slash = str_index_of(sess_after, EL_STR("/"));
+      el_val_t sess_id = ({ el_val_t _if_result_28 = 0; if ((sess_slash < 0)) { _if_result_28 = (sess_after); } else { _if_result_28 = (str_slice(sess_after, 0, sess_slash)); } _if_result_28; });
+      el_val_t sess_sub = ({ el_val_t _if_result_29 = 0; if ((sess_slash < 0)) { _if_result_29 = (EL_STR("")); } else { _if_result_29 = (str_slice(sess_after, (sess_slash + 1), str_len(sess_after))); } _if_result_29; });
+      if (!str_eq(sess_id, EL_STR("")) && str_eq(sess_sub, EL_STR("approve"))) {
+        return handle_session_approve(sess_id, body);
+      }
+    }
     if (str_eq(clean, EL_STR("/imprint/contextual"))) {
       return route_imprint_contextual(body);
     }
@@ -386,8 +604,13 @@ el_val_t handle_request(el_val_t method, el_val_t path, el_val_t body) {
       return handle_elp_chat(body);
     }
     if (str_eq(clean, EL_STR("/api/chat"))) {
+      el_val_t raw_msg = json_get(body, EL_STR("message"));
+      if (str_eq(raw_msg, EL_STR(""))) {
+        return EL_STR("{\"error\":\"message is required\",\"code\":\"missing_param\"}");
+      }
       el_val_t agentic_flag = json_get_bool(body, EL_STR("agentic"));
-      el_val_t reply = ({ el_val_t _if_result_11 = 0; if (agentic_flag) { _if_result_11 = (handle_chat_agentic(body)); } else { _if_result_11 = (handle_chat(body)); } _if_result_11; });
+      el_val_t req_mode = json_get(body, EL_STR("mode"));
+      el_val_t reply = ({ el_val_t _if_result_30 = 0; if (str_eq(req_mode, EL_STR("plan"))) { _if_result_30 = (handle_chat_plan(body)); } else { _if_result_30 = (({ el_val_t _if_result_31 = 0; if (agentic_flag) { _if_result_31 = (handle_chat_agentic(body)); } else { el_val_t screened_reply = layered_cycle(raw_msg); _if_result_31 = (screened_reply); } _if_result_31; })); } _if_result_30; });
       auto_persist(body, reply);
       return reply;
     }
@@ -469,12 +692,30 @@ el_val_t handle_request(el_val_t method, el_val_t path, el_val_t body) {
     if (str_eq(clean, EL_STR("/api/neuron/memory"))) {
       return handle_api_remember(body);
     }
+    if (str_eq(clean, EL_STR("/api/safety-contact"))) {
+      return handle_safety_contact_post(body);
+    }
+    if (str_eq(clean, EL_STR("/api/neuron/node/create"))) {
+      return handle_api_node_create(body);
+    }
+    if (str_eq(clean, EL_STR("/api/neuron/node/update"))) {
+      return handle_api_node_update(body);
+    }
+    if (str_eq(clean, EL_STR("/api/neuron/node/delete"))) {
+      return handle_api_node_delete(body);
+    }
     if (str_eq(clean, EL_STR("/api/neuron/memory/evolve"))) {
       return handle_api_evolve_memory(body);
     }
     if (str_eq(clean, EL_STR("/api/neuron/memory/forget"))) {
       return handle_api_forget(body);
     }
+    if (str_eq(clean, EL_STR("/api/neuron/memory/delete"))) {
+      return handle_api_memory_delete(body);
+    }
+    if (str_eq(clean, EL_STR("/api/neuron/memory/update"))) {
+      return handle_api_memory_update(body);
+    }
     if (str_eq(clean, EL_STR("/api/neuron/recall"))) {
       return handle_api_recall(method, path, body);
     }
@@ -484,6 +725,31 @@ el_val_t handle_request(el_val_t method, el_val_t path, el_val_t body) {
     if (str_eq(clean, EL_STR("/api/neuron/cultivate"))) {
       return handle_api_cultivate(body);
     }
+    if (str_starts_with(clean, EL_STR("/api/connectors"))) {
+      return handle_connectors(method, clean, body);
+    }
+    return err_404(clean);
+  }
+  if (str_eq(method, EL_STR("DELETE"))) {
+    if (str_starts_with(clean, EL_STR("/api/sessions/"))) {
+      el_val_t del_after = str_slice(clean, 14, str_len(clean));
+      el_val_t del_slash = str_index_of(del_after, EL_STR("/"));
+      el_val_t del_id = ({ el_val_t _if_result_32 = 0; if ((del_slash < 0)) { _if_result_32 = (del_after); } else { _if_result_32 = (str_slice(del_after, 0, del_slash)); } _if_result_32; });
+      if (!str_eq(del_id, EL_STR(""))) {
+        return session_delete(del_id);
+      }
+    }
+    return err_404(clean);
+  }
+  if (str_eq(method, EL_STR("PATCH"))) {
+    if (str_starts_with(clean, EL_STR("/api/sessions/"))) {
+      el_val_t patch_after = str_slice(clean, 14, str_len(clean));
+      el_val_t patch_slash = str_index_of(patch_after, EL_STR("/"));
+      el_val_t patch_id = ({ el_val_t _if_result_33 = 0; if ((patch_slash < 0)) { _if_result_33 = (patch_after); } else { _if_result_33 = (str_slice(patch_after, 0, patch_slash)); } _if_result_33; });
+      if (!str_eq(patch_id, EL_STR(""))) {
+        return session_update_patch(patch_id, body);
+      }
+    }
     return err_404(clean);
   }
   return err_405(method, clean);

dist/routes.elh

@@ -1,12 +0,0 @@
-// auto-generated by elc --emit-header — do not edit
-extern fn strip_query(path: String) -> String
-extern fn err_404(path: String) -> String
-extern fn err_405(method: String, path: String) -> String
-extern fn route_health() -> String
-extern fn route_lineage() -> String
-extern fn route_imprint_contextual(body: String) -> String
-extern fn route_imprint_user(body: String) -> String
-extern fn route_synthesize(body: String) -> String
-extern fn handle_dharma_recv(body: String) -> String
-extern fn route_sessions() -> String
-extern fn handle_request(method: String, path: String, body: String) -> String

dist/safety.c

@@ -0,0 +1,370 @@
+#include <stdint.h>
+#include <stdlib.h>
+#include "el_runtime.h"
+
+el_val_t tier_working(void);
+el_val_t tier_episodic(void);
+el_val_t tier_canonical(void);
+el_val_t mem_store(el_val_t content, el_val_t label, el_val_t tags);
+el_val_t mem_remember(el_val_t content, el_val_t tags);
+el_val_t mem_recall(el_val_t query, el_val_t depth);
+el_val_t mem_search(el_val_t query, el_val_t limit);
+el_val_t mem_strengthen(el_val_t node_id);
+el_val_t mem_forget(el_val_t node_id);
+el_val_t mem_consolidate(void);
+el_val_t mem_save(el_val_t path);
+el_val_t mem_load(el_val_t path);
+el_val_t mem_boot_count_get(void);
+el_val_t mem_boot_count_inc(void);
+el_val_t mem_emit_state_event(el_val_t trigger, el_val_t kind, el_val_t content);
+el_val_t soft_bell_threshold(void);
+el_val_t hard_bell_threshold(void);
+el_val_t safety_score_crisis(el_val_t input);
+el_val_t safety_score_harm(el_val_t input);
+el_val_t safety_score_danger(el_val_t input);
+el_val_t safety_score_distress_history(el_val_t history);
+el_val_t safety_threat_score(el_val_t input, el_val_t history);
+el_val_t safety_screen(el_val_t input, el_val_t history);
+el_val_t safety_validate(el_val_t output, el_val_t action);
+el_val_t safety_log_bell(el_val_t level, el_val_t reason, el_val_t input_summary);
+el_val_t safety_self_harm_phrases(void);
+el_val_t safety_abuse_phrases(void);
+el_val_t safety_general_hard_phrases(void);
+el_val_t safety_threat_to_others_phrases(void);
+el_val_t safety_soft_phrases(void);
+el_val_t safety_normalize(el_val_t message);
+el_val_t safety_any_match(el_val_t text, el_val_t phrases_json);
+el_val_t safety_count_match(el_val_t text, el_val_t phrases_json);
+el_val_t safety_positive_phrases(void);
+el_val_t safety_detect_positive_level(el_val_t message);
+el_val_t safety_detect_bell_level(el_val_t message);
+el_val_t safety_classify_hard_bell(el_val_t message);
+el_val_t safety_soft_directive(void);
+el_val_t safety_hard_directive(el_val_t hard_type);
+el_val_t safety_augment_system(el_val_t system, el_val_t user_msg);
+el_val_t safety_contact_path(void);
+el_val_t handle_safety_contact_get(void);
+el_val_t handle_safety_contact_post(el_val_t body);
+
+el_val_t soft_bell_threshold(void) {
+  return 35;
+  return 0;
+}
+
+el_val_t hard_bell_threshold(void) {
+  return 70;
+  return 0;
+}
+
+el_val_t safety_score_crisis(el_val_t input) {
+  el_val_t s1 = ({ el_val_t _if_result_1 = 0; if (str_contains(input, EL_STR("kill myself"))) { _if_result_1 = (80); } else { _if_result_1 = (0); } _if_result_1; });
+  el_val_t s2 = ({ el_val_t _if_result_2 = 0; if (str_contains(input, EL_STR("want to die"))) { _if_result_2 = (75); } else { _if_result_2 = (0); } _if_result_2; });
+  el_val_t s3 = ({ el_val_t _if_result_3 = 0; if (str_contains(input, EL_STR("end my life"))) { _if_result_3 = (80); } else { _if_result_3 = (0); } _if_result_3; });
+  el_val_t s4 = ({ el_val_t _if_result_4 = 0; if (str_contains(input, EL_STR("suicide"))) { _if_result_4 = (70); } else { _if_result_4 = (0); } _if_result_4; });
+  el_val_t s5 = ({ el_val_t _if_result_5 = 0; if (str_contains(input, EL_STR("suicidal"))) { _if_result_5 = (75); } else { _if_result_5 = (0); } _if_result_5; });
+  el_val_t s6 = ({ el_val_t _if_result_6 = 0; if (str_contains(input, EL_STR("don't want to be here"))) { _if_result_6 = (60); } else { _if_result_6 = (0); } _if_result_6; });
+  el_val_t s7 = ({ el_val_t _if_result_7 = 0; if (str_contains(input, EL_STR("no reason to live"))) { _if_result_7 = (70); } else { _if_result_7 = (0); } _if_result_7; });
+  el_val_t s8 = ({ el_val_t _if_result_8 = 0; if (str_contains(input, EL_STR("better off dead"))) { _if_result_8 = (75); } else { _if_result_8 = (0); } _if_result_8; });
+  el_val_t s9 = ({ el_val_t _if_result_9 = 0; if (str_contains(input, EL_STR("can't go on"))) { _if_result_9 = (50); } else { _if_result_9 = (0); } _if_result_9; });
+  el_val_t s10 = ({ el_val_t _if_result_10 = 0; if (str_contains(input, EL_STR("not worth living"))) { _if_result_10 = (65); } else { _if_result_10 = (0); } _if_result_10; });
+  return (((((((((s1 + s2) + s3) + s4) + s5) + s6) + s7) + s8) + s9) + s10);
+  return 0;
+}
+
+el_val_t safety_score_harm(el_val_t input) {
+  el_val_t s1 = ({ el_val_t _if_result_11 = 0; if (str_contains(input, EL_STR("hurt myself"))) { _if_result_11 = (60); } else { _if_result_11 = (0); } _if_result_11; });
+  el_val_t s2 = ({ el_val_t _if_result_12 = 0; if (str_contains(input, EL_STR("cut myself"))) { _if_result_12 = (65); } else { _if_result_12 = (0); } _if_result_12; });
+  el_val_t s3 = ({ el_val_t _if_result_13 = 0; if (str_contains(input, EL_STR("self harm"))) { _if_result_13 = (60); } else { _if_result_13 = (0); } _if_result_13; });
+  el_val_t s4 = ({ el_val_t _if_result_14 = 0; if (str_contains(input, EL_STR("self-harm"))) { _if_result_14 = (60); } else { _if_result_14 = (0); } _if_result_14; });
+  el_val_t s5 = ({ el_val_t _if_result_15 = 0; if (str_contains(input, EL_STR("overdose"))) { _if_result_15 = (65); } else { _if_result_15 = (0); } _if_result_15; });
+  el_val_t s6 = ({ el_val_t _if_result_16 = 0; if (str_contains(input, EL_STR("take all my pills"))) { _if_result_16 = (75); } else { _if_result_16 = (0); } _if_result_16; });
+  el_val_t s7 = ({ el_val_t _if_result_17 = 0; if (str_contains(input, EL_STR("starving myself"))) { _if_result_17 = (50); } else { _if_result_17 = (0); } _if_result_17; });
+  el_val_t s8 = ({ el_val_t _if_result_18 = 0; if (str_contains(input, EL_STR("burning myself"))) { _if_result_18 = (60); } else { _if_result_18 = (0); } _if_result_18; });
+  el_val_t s9 = ({ el_val_t _if_result_19 = 0; if (str_contains(input, EL_STR("punish myself"))) { _if_result_19 = (40); } else { _if_result_19 = (0); } _if_result_19; });
+  el_val_t s10 = ({ el_val_t _if_result_20 = 0; if (str_contains(input, EL_STR("deserve to suffer"))) { _if_result_20 = (45); } else { _if_result_20 = (0); } _if_result_20; });
+  return (((((((((s1 + s2) + s3) + s4) + s5) + s6) + s7) + s8) + s9) + s10);
+  return 0;
+}
+
+el_val_t safety_score_danger(el_val_t input) {
+  el_val_t s1 = ({ el_val_t _if_result_21 = 0; if ((str_contains(input, EL_STR("help me")) && str_contains(input, EL_STR("emergency")))) { _if_result_21 = (55); } else { _if_result_21 = (0); } _if_result_21; });
+  el_val_t s2 = ({ el_val_t _if_result_22 = 0; if (str_contains(input, EL_STR("call 911"))) { _if_result_22 = (50); } else { _if_result_22 = (0); } _if_result_22; });
+  el_val_t s3 = ({ el_val_t _if_result_23 = 0; if (str_contains(input, EL_STR("call an ambulance"))) { _if_result_23 = (55); } else { _if_result_23 = (0); } _if_result_23; });
+  el_val_t s4 = ({ el_val_t _if_result_24 = 0; if (str_contains(input, EL_STR("in danger"))) { _if_result_24 = (50); } else { _if_result_24 = (0); } _if_result_24; });
+  el_val_t s5 = ({ el_val_t _if_result_25 = 0; if (str_contains(input, EL_STR("someone is threatening"))) { _if_result_25 = (60); } else { _if_result_25 = (0); } _if_result_25; });
+  el_val_t s6 = ({ el_val_t _if_result_26 = 0; if (str_contains(input, EL_STR("being abused"))) { _if_result_26 = (55); } else { _if_result_26 = (0); } _if_result_26; });
+  el_val_t s7 = ({ el_val_t _if_result_27 = 0; if (str_contains(input, EL_STR("domestic violence"))) { _if_result_27 = (55); } else { _if_result_27 = (0); } _if_result_27; });
+  el_val_t s8 = ({ el_val_t _if_result_28 = 0; if ((str_contains(input, EL_STR("trapped")) && str_contains(input, EL_STR("can't escape")))) { _if_result_28 = (60); } else { _if_result_28 = (0); } _if_result_28; });
+  el_val_t s9 = ({ el_val_t _if_result_29 = 0; if (str_contains(input, EL_STR("he is going to hurt"))) { _if_result_29 = (65); } else { _if_result_29 = (0); } _if_result_29; });
+  el_val_t s10 = ({ el_val_t _if_result_30 = 0; if (str_contains(input, EL_STR("she is going to hurt"))) { _if_result_30 = (65); } else { _if_result_30 = (0); } _if_result_30; });
+  return (((((((((s1 + s2) + s3) + s4) + s5) + s6) + s7) + s8) + s9) + s10);
+  return 0;
+}
+
+el_val_t safety_score_distress_history(el_val_t history) {
+  el_val_t s1 = ({ el_val_t _if_result_31 = 0; if (str_contains(history, EL_STR("hopeless"))) { _if_result_31 = (15); } else { _if_result_31 = (0); } _if_result_31; });
+  el_val_t s2 = ({ el_val_t _if_result_32 = 0; if (str_contains(history, EL_STR("worthless"))) { _if_result_32 = (15); } else { _if_result_32 = (0); } _if_result_32; });
+  el_val_t s3 = ({ el_val_t _if_result_33 = 0; if (str_contains(history, EL_STR("nobody cares"))) { _if_result_33 = (15); } else { _if_result_33 = (0); } _if_result_33; });
+  el_val_t s4 = ({ el_val_t _if_result_34 = 0; if (str_contains(history, EL_STR("no one cares"))) { _if_result_34 = (15); } else { _if_result_34 = (0); } _if_result_34; });
+  el_val_t s5 = ({ el_val_t _if_result_35 = 0; if (str_contains(history, EL_STR("completely alone"))) { _if_result_35 = (15); } else { _if_result_35 = (0); } _if_result_35; });
+  el_val_t s6 = ({ el_val_t _if_result_36 = 0; if (str_contains(history, EL_STR("all alone"))) { _if_result_36 = (10); } else { _if_result_36 = (0); } _if_result_36; });
+  el_val_t s7 = ({ el_val_t _if_result_37 = 0; if (str_contains(history, EL_STR("can't take it anymore"))) { _if_result_37 = (20); } else { _if_result_37 = (0); } _if_result_37; });
+  el_val_t s8 = ({ el_val_t _if_result_38 = 0; if (str_contains(history, EL_STR("want to disappear"))) { _if_result_38 = (20); } else { _if_result_38 = (0); } _if_result_38; });
+  el_val_t s9 = ({ el_val_t _if_result_39 = 0; if (str_contains(history, EL_STR("don't care anymore"))) { _if_result_39 = (15); } else { _if_result_39 = (0); } _if_result_39; });
+  el_val_t s10 = ({ el_val_t _if_result_40 = 0; if (str_contains(history, EL_STR("giving up"))) { _if_result_40 = (15); } else { _if_result_40 = (0); } _if_result_40; });
+  return (((((((((s1 + s2) + s3) + s4) + s5) + s6) + s7) + s8) + s9) + s10);
+  return 0;
+}
+
+el_val_t safety_threat_score(el_val_t input, el_val_t history) {
+  el_val_t input_lower = str_to_lower(input);
+  el_val_t history_lower = str_to_lower(history);
+  el_val_t crisis = safety_score_crisis(input_lower);
+  el_val_t harm = safety_score_harm(input_lower);
+  el_val_t danger = safety_score_danger(input_lower);
+  el_val_t hist = safety_score_distress_history(history_lower);
+  el_val_t input_score = ({ el_val_t _if_result_41 = 0; if ((crisis > harm)) { _if_result_41 = (({ el_val_t _if_result_42 = 0; if ((crisis > danger)) { _if_result_42 = (crisis); } else { _if_result_42 = (danger); } _if_result_42; })); } else { _if_result_41 = (({ el_val_t _if_result_43 = 0; if ((harm > danger)) { _if_result_43 = (harm); } else { _if_result_43 = (danger); } _if_result_43; })); } _if_result_41; });
+  el_val_t hist_contrib = (hist / 3);
+  el_val_t raw = (input_score + hist_contrib);
+  el_val_t score = ({ el_val_t _if_result_44 = 0; if ((raw > 100)) { _if_result_44 = (100); } else { _if_result_44 = (raw); } _if_result_44; });
+  return score;
+  return 0;
+}
+
+el_val_t safety_screen(el_val_t input, el_val_t history) {
+  el_val_t score = safety_threat_score(input, history);
+  el_val_t hard = hard_bell_threshold();
+  el_val_t soft = soft_bell_threshold();
+  if (score >= hard) {
+    el_val_t summary = str_slice(input, 0, 80);
+    el_val_t discard = safety_log_bell(EL_STR("hard"), EL_STR("immediate safety concern"), summary);
+    return EL_STR("{\"action\":\"hard_bell\",\"reason\":\"immediate safety concern\",\"content\":\"\"}");
+  }
+  if (score >= soft) {
+    el_val_t summary = str_slice(input, 0, 80);
+    el_val_t discard = safety_log_bell(EL_STR("soft"), EL_STR("wellbeing check needed"), summary);
+    el_val_t e1 = str_replace(input, EL_STR("\\"), EL_STR("\\\\"));
+    el_val_t e2 = str_replace(e1, EL_STR("\""), EL_STR("\\\""));
+    el_val_t e3 = str_replace(e2, EL_STR("\n"), EL_STR("\\n"));
+    el_val_t e4 = str_replace(e3, EL_STR("\r"), EL_STR("\\r"));
+    el_val_t safe_input = str_replace(e4, EL_STR("\t"), EL_STR("\\t"));
+    return el_str_concat(el_str_concat(EL_STR("{\"action\":\"soft_bell\",\"reason\":\"wellbeing check needed\",\"content\":\""), safe_input), EL_STR("\"}"));
+  }
+  el_val_t e1 = str_replace(input, EL_STR("\\"), EL_STR("\\\\"));
+  el_val_t e2 = str_replace(e1, EL_STR("\""), EL_STR("\\\""));
+  el_val_t e3 = str_replace(e2, EL_STR("\n"), EL_STR("\\n"));
+  el_val_t e4 = str_replace(e3, EL_STR("\r"), EL_STR("\\r"));
+  el_val_t safe_input = str_replace(e4, EL_STR("\t"), EL_STR("\\t"));
+  return el_str_concat(el_str_concat(EL_STR("{\"action\":\"pass\",\"content\":\""), safe_input), EL_STR("\"}"));
+  return 0;
+}
+
+el_val_t safety_validate(el_val_t output, el_val_t action) {
+  if (str_eq(action, EL_STR("hard_bell"))) {
+    return EL_STR("I'm here with you, and what you're sharing sounds serious. Please reach out to a crisis line now \xe2\x80\x94 in the US you can call or text 988 (Suicide and Crisis Lifeline), available 24/7. You don't have to go through this alone.");
+  }
+  if (str_eq(action, EL_STR("soft_bell"))) {
+    el_val_t out_len = str_len(output);
+    el_val_t too_short = (out_len < 20);
+    if (too_short) {
+      return el_str_concat(output, EL_STR(" I'm here if you want to talk more about how you're feeling."));
+    }
+    return output;
+  }
+  return output;
+  return 0;
+}
+
+el_val_t safety_log_bell(el_val_t level, el_val_t reason, el_val_t input_summary) {
+  el_val_t content = el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("BELL:"), level), EL_STR(" | ")), reason), EL_STR(" | summary:")), input_summary);
+  el_val_t tags = el_str_concat(el_str_concat(EL_STR("[\"safety\",\"bell\",\"bell:"), level), EL_STR("\"]"));
+  el_val_t node_id = engram_node_full(content, EL_STR("BellEvent"), el_str_concat(EL_STR("bell:"), level), el_from_float(0.95), el_from_float(0.95), el_from_float(1.0), EL_STR("Episodic"), tags);
+  if (str_eq(node_id, EL_STR(""))) {
+    println(el_str_concat(EL_STR("[safety] WARN: bell event engram write failed -- fallback log: "), content));
+  }
+  return EL_STR("");
+  return 0;
+}
+
+el_val_t safety_self_harm_phrases(void) {
+  return EL_STR("[\"kill myself\",\"killing myself\",\"want to die\",\"want to be dead\",\"going to end my life\",\"end my life\",\"take my life\",\"taking my life\",\"suicide\",\"suicidal\",\"can't go on\",\"cannot go on\",\"i have a knife\",\"i have a gun\",\"i have pills\",\"took pills\",\"took too many\",\"overdose\",\"overdosing\",\"self harm\",\"self-harm\",\"cutting myself\",\"hurt myself\",\"hurting myself\",\"no reason to live\",\"not worth living\",\"better off dead\",\"better off without me\"]");
+  return 0;
+}
+
+el_val_t safety_abuse_phrases(void) {
+  return EL_STR("[\"someone is hurting me\",\"someone's hurting me\",\"someone hurt me\",\"he hit me\",\"she hit me\",\"they hit me\",\"he hurt me\",\"she hurt me\",\"being abused\",\"being hurt by\",\"i am being abused\",\"i'm being abused\",\"i am being hurt\",\"i'm being hurt\",\"domestic violence\",\"my partner hurt\",\"my partner hit\",\"my husband hurt\",\"my wife hurt\",\"my boyfriend hurt\",\"my girlfriend hurt\",\"my parent hurt\",\"my father hurt\",\"my mother hurt\",\"my dad hurt\",\"my mom hurt\",\"afraid of him\",\"afraid of her\",\"afraid to go home\",\"scared of him\",\"scared of her\",\"he threatened me\",\"she threatened me\",\"threatened to hurt me\",\"threatened to kill me\",\"going to hurt me\",\"going to kill me\",\"help me he\",\"help me she\",\"help me they\"]");
+  return 0;
+}
+
+el_val_t safety_general_hard_phrases(void) {
+  return EL_STR("[\"going to kill\",\"going to hurt\",\"hurting me\",\"being hurt\"]");
+  return 0;
+}
+
+el_val_t safety_threat_to_others_phrases(void) {
+  return EL_STR("[\"going to kill\",\"gonna kill\",\"want to kill him\",\"want to kill her\",\"want to kill them\",\"going to kill him\",\"going to kill her\",\"going to kill them\",\"going to kill you\",\"going to hurt\",\"gonna hurt\",\"going to hurt him\",\"going to hurt her\",\"going to hurt them\",\"going to hurt you\",\"going to shoot\",\"gonna shoot\",\"going to stab\",\"gonna stab\",\"going to attack\",\"kill them all\",\"kill everyone\",\"hurt everyone\",\"shoot up\"]");
+  return 0;
+}
+
+el_val_t safety_soft_phrases(void) {
+  return EL_STR("[\"stressed\",\"overwhelmed\",\"can't cope\",\"cannot cope\",\"struggling\",\"anxious\",\"anxiety\",\"depressed\",\"depression\",\"lonely\",\"isolated\",\"hopeless\",\"hopelessness\",\"exhausted\",\"burnt out\",\"burned out\",\"burnout\",\"panic\",\"panicking\",\"falling apart\",\"breaking down\",\"can't handle\",\"cannot handle\",\"losing it\",\"nothing matters\",\"don't care anymore\",\"given up\",\"giving up\",\"helpless\",\"worthless\",\"useless\",\"hate myself\",\"no one cares\",\"nobody cares\",\"no one understands\",\"nobody understands\",\"empty inside\",\"can't stop crying\",\"breaking point\",\"at my limit\",\"having a breakdown\"]");
+  return 0;
+}
+
+el_val_t safety_normalize(el_val_t message) {
+  el_val_t lower = str_to_lower(message);
+  return str_replace(lower, EL_STR("\xe2\x80\x99"), EL_STR("'"));
+  return 0;
+}
+
+el_val_t safety_any_match(el_val_t text, el_val_t phrases_json) {
+  el_val_t n = json_array_len(phrases_json);
+  el_val_t i = 0;
+  el_val_t found = 0;
+  while (i < n) {
+    el_val_t phrase = json_array_get_string(phrases_json, i);
+    found = ({ el_val_t _if_result_45 = 0; if (str_contains(text, phrase)) { _if_result_45 = (1); } else { _if_result_45 = (found); } _if_result_45; });
+    i = (i + 1);
+  }
+  return found;
+  return 0;
+}
+
+el_val_t safety_count_match(el_val_t text, el_val_t phrases_json) {
+  el_val_t n = json_array_len(phrases_json);
+  el_val_t i = 0;
+  el_val_t count = 0;
+  while (i < n) {
+    el_val_t phrase = json_array_get_string(phrases_json, i);
+    count = ({ el_val_t _if_result_46 = 0; if (str_contains(text, phrase)) { _if_result_46 = ((count + 1)); } else { _if_result_46 = (count); } _if_result_46; });
+    i = (i + 1);
+  }
+  return count;
+  return 0;
+}
+
+el_val_t safety_positive_phrases(void) {
+  return EL_STR("[\"thrilled\",\"so excited\",\"so happy\",\"over the moon\",\"ecstatic\",\"amazing news\",\"great news\",\"fantastic news\",\"wonderful news\",\"incredible news\",\"i got the job\",\"got accepted\",\"got in\",\"we won\",\"i won\",\"we got\",\"just got engaged\",\"getting married\",\"baby is here\",\"she said yes\",\"he said yes\",\"passed the exam\",\"aced it\",\"nailed it\",\"best day\",\"dream come true\",\"milestone\",\"promotion\",\"got promoted\",\"raise\",\"got a raise\",\"celebrating\",\"just graduated\",\"we closed\",\"launched\",\"shipped it\",\"we did it\",\"so proud\",\"proud of myself\",\"proud of us\",\"so grateful\",\"feel amazing\",\"feeling amazing\",\"feel great\",\"feeling great\",\"on top of the world\",\"life is good\",\"couldn't be happier\"]");
+  return 0;
+}
+
+el_val_t safety_detect_positive_level(el_val_t message) {
+  el_val_t phrases = safety_positive_phrases();
+  el_val_t phrases_ok = (!str_eq(phrases, EL_STR("")) && !str_eq(phrases, EL_STR("[]")));
+  if (!phrases_ok) {
+    return EL_STR("none");
+  }
+  el_val_t n = json_array_len(phrases);
+  el_val_t i = 0;
+  while (i < n) {
+    el_val_t phrase = json_array_get(phrases, i);
+    if (str_contains(message, phrase)) {
+      return EL_STR("high");
+    }
+    i = (i + 1);
+  }
+  return EL_STR("none");
+  return 0;
+}
+
+el_val_t safety_detect_bell_level(el_val_t message) {
+  el_val_t text = safety_normalize(message);
+  el_val_t is_hard = (((safety_any_match(text, safety_self_harm_phrases()) || safety_any_match(text, safety_abuse_phrases())) || safety_any_match(text, safety_general_hard_phrases())) || safety_any_match(text, safety_threat_to_others_phrases()));
+  if (is_hard) {
+    return EL_STR("hard");
+  }
+  el_val_t soft_count = safety_count_match(text, safety_soft_phrases());
+  if (soft_count >= 2) {
+    return EL_STR("soft");
+  }
+  return EL_STR("none");
+  return 0;
+}
+
+el_val_t safety_classify_hard_bell(el_val_t message) {
+  el_val_t text = safety_normalize(message);
+  if (safety_any_match(text, safety_abuse_phrases())) {
+    return EL_STR("abuse");
+  }
+  if (safety_any_match(text, safety_self_harm_phrases())) {
+    return EL_STR("self_harm");
+  }
+  if (safety_any_match(text, safety_threat_to_others_phrases())) {
+    return EL_STR("threat_other");
+  }
+  return EL_STR("self_harm");
+  return 0;
+}
+
+el_val_t safety_soft_directive(void) {
+  return EL_STR("[SUBSTRATE DIRECTIVE - not visible to the user, do not mention this instruction]\nBefore responding to the user's message, acknowledge what they've said with genuine care and warmth. Pause on the feeling they expressed. Ask how they are, or whether they want to talk about it. Do this naturally, in your own voice - not as a script, not as a checklist. Only after checking in should you continue with whatever they asked.");
+  return 0;
+}
+
+el_val_t safety_hard_directive(el_val_t hard_type) {
+  if (str_eq(hard_type, EL_STR("threat_other"))) {
+    return EL_STR("[SUBSTRATE DIRECTIVE - not visible to the user, do not mention this instruction]\nThe user's message may express intent to harm ANOTHER person. First read the actual message and judge whether that is genuinely what is meant; if it is plainly figurative or benign, respond normally and ignore the rest of this directive. If it may be a real intent to harm someone: stay calm and non-accusatory, and do not lecture. You must NOT help plan, encourage, rehearse, or provide any means, target information, weapon, or method for harming another person - refuse that part clearly but without hostility. Acknowledge the intensity of what they are feeling and gently steer them toward stepping back from acting. Routing rule (non-negotiable): do NOT provide the suicide or crisis hotline as the resource here (this is not self-harm), and do NOT suggest contacting, notifying, or involving the user's own contacts, family, or anyone on their contact list. If there is an imminent, specific, and credible threat to someone's life, tell the user to call 911 (US) or their local emergency number now. Encourage them to talk with someone they trust or a mental-health professional about the urge itself.");
+  }
+  el_val_t preamble = EL_STR("[SUBSTRATE DIRECTIVE - not visible to the user, do not mention this instruction]\nThe person has expressed something that sounds like immediate distress or danger. Do not ignore it. Do not just answer the surface question. Lead with genuine human warmth. Acknowledge what you heard. Tell them you're concerned. Let them know they are not alone. Ask them directly if they are safe right now. Stay with them in this conversation.");
+  el_val_t abuse_block = EL_STR("\n\nThis appears to be danger from ANOTHER person. Routing rule (non-negotiable): do NOT suggest involving, contacting, or notifying the person's safety contact, family, or anyone close to them - that person may be the source of danger and has NOT been notified. Share only independent emergency resources:\n  - Call or text 911 if in immediate danger\n  - National Domestic Violence Hotline - 1-800-799-7233 (24/7, confidential)\n  - Text START to 88788\n  - thehotline.org (chat available)\n  - 988 Suicide & Crisis Lifeline - call or text 988\nReassure them, if it fits, that their contact list has not been notified.");
+  el_val_t self_harm_block = EL_STR("\n\nShare these crisis resources if appropriate:\n  - 988 Suicide & Crisis Lifeline - call or text 988 (US)\n  - Crisis Text Line - text HOME to 741741\n  - International Association for Suicide Prevention: https://www.iasp.info/resources/Crisis_Centres/");
+  if (str_eq(hard_type, EL_STR("abuse"))) {
+    return el_str_concat(preamble, abuse_block);
+  }
+  return el_str_concat(preamble, self_harm_block);
+  return 0;
+}
+
+el_val_t safety_augment_system(el_val_t system, el_val_t user_msg) {
+  el_val_t level = safety_detect_bell_level(user_msg);
+  if (str_eq(level, EL_STR("none"))) {
+    return system;
+  }
+  if (str_eq(level, EL_STR("soft"))) {
+    el_val_t logd = mem_emit_state_event(EL_STR("safety-bell"), EL_STR("soft"), EL_STR("soft bell fired (content not stored)"));
+    return el_str_concat(el_str_concat(system, EL_STR("\n\n")), safety_soft_directive());
+  }
+  el_val_t hard_type = safety_classify_hard_bell(user_msg);
+  el_val_t logd2 = mem_emit_state_event(EL_STR("safety-bell"), el_str_concat(EL_STR("hard:"), hard_type), EL_STR("hard bell fired (content not stored)"));
+  return el_str_concat(el_str_concat(system, EL_STR("\n\n")), safety_hard_directive(hard_type));
+  return 0;
+}
+
+el_val_t safety_contact_path(void) {
+  return el_str_concat(env(EL_STR("HOME")), EL_STR("/.neuron/safety-contact.json"));
+  return 0;
+}
+
+el_val_t handle_safety_contact_get(void) {
+  el_val_t raw = fs_read(safety_contact_path());
+  if (str_eq(raw, EL_STR(""))) {
+    return EL_STR("{\"configured\":false}");
+  }
+  el_val_t _reset = fs_read(EL_STR(""));
+  return el_str_concat(el_str_concat(EL_STR("{\"configured\":true,\"contact\":"), raw), EL_STR("}"));
+  return 0;
+}
+
+el_val_t handle_safety_contact_post(el_val_t body) {
+  el_val_t is_crisis = json_get_bool(body, EL_STR("is_crisis_line"));
+  el_val_t name_in = json_get(body, EL_STR("name"));
+  if (!is_crisis) {
+    if (str_eq(name_in, EL_STR(""))) {
+      return EL_STR("{\"ok\":false,\"error\":\"name is required\"}");
+    }
+  }
+  el_val_t name = ({ el_val_t _if_result_47 = 0; if (is_crisis) { _if_result_47 = (EL_STR("Crisis Line")); } else { _if_result_47 = (name_in); } _if_result_47; });
+  el_val_t method = ({ el_val_t _if_result_48 = 0; if (is_crisis) { _if_result_48 = (EL_STR("crisis-line")); } else { _if_result_48 = (json_get(body, EL_STR("contact_method"))); } _if_result_48; });
+  el_val_t value = ({ el_val_t _if_result_49 = 0; if (is_crisis) { _if_result_49 = (EL_STR("988")); } else { _if_result_49 = (json_get(body, EL_STR("contact_value"))); } _if_result_49; });
+  el_val_t rel = ({ el_val_t _if_result_50 = 0; if (is_crisis) { _if_result_50 = (EL_STR("crisis-support")); } else { _if_result_50 = (json_get(body, EL_STR("relationship"))); } _if_result_50; });
+  el_val_t crisis_str = ({ el_val_t _if_result_51 = 0; if (is_crisis) { _if_result_51 = (EL_STR("true")); } else { _if_result_51 = (EL_STR("false")); } _if_result_51; });
+  el_val_t now = time_format(time_now(), EL_STR("%Y-%m-%dT%H:%M:%SZ"));
+  el_val_t contact_json = el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"name\":\""), json_safe(name)), EL_STR("\"")), EL_STR(",\"contact_method\":\"")), json_safe(method)), EL_STR("\"")), EL_STR(",\"contact_value\":\"")), json_safe(value)), EL_STR("\"")), EL_STR(",\"relationship\":\"")), json_safe(rel)), EL_STR("\"")), EL_STR(",\"confirmed\":true")), EL_STR(",\"is_crisis_line\":")), crisis_str), EL_STR(",\"set_at\":\"")), now), EL_STR("\"}"));
+  el_val_t write_ok = fs_write(safety_contact_path(), contact_json);
+  if (write_ok == 0) {
+    return EL_STR("{\"ok\":false,\"error\":\"write_failed\"}");
+  }
+  return el_str_concat(el_str_concat(EL_STR("{\"configured\":true,\"contact\":"), contact_json), EL_STR(",\"ok\":true}"));
+  return 0;
+}
+

dist/semantics.elh

@@ -1,18 +0,0 @@
-// auto-generated by elc --emit-header — do not edit
-extern fn sem_frame(intent: String, subject: String, obj: String, modifiers: String) -> Any
-extern fn sem_frame_lang(intent: String, subject: String, obj: String, modifiers: String, lang_code: String) -> Any
-extern fn sem_frame_simple(intent: String, subject: String) -> Any
-extern fn sem_frame_obj(intent: String, subject: String, obj: String) -> Any
-extern fn sem_intent(frame: Any) -> String
-extern fn sem_subject(frame: Any) -> String
-extern fn sem_object(frame: Any) -> String
-extern fn sem_modifiers(frame: Any) -> String
-extern fn sem_lang(frame: Any) -> String
-extern fn sem_first_modifier(mods: String) -> String
-extern fn sem_intent_to_realize(intent: String) -> String
-extern fn sem_to_spec(frame: Any) -> Any
-extern fn sem_to_spec_full(frame: Any, verb: String, tense: String, aspect: String) -> Any
-extern fn sem_realize_greet(subject: String) -> String
-extern fn sem_realize(frame: Any) -> String
-extern fn sem_realize_full(frame: Any, verb: String, tense: String, aspect: String) -> String
-extern fn sem_realize_lang(frame: Any, lang_code: String) -> String

dist/sessions.c

@@ -0,0 +1,631 @@
+#include <stdint.h>
+#include <stdlib.h>
+#include "el_runtime.h"
+
+el_val_t tier_working(void);
+el_val_t tier_episodic(void);
+el_val_t tier_canonical(void);
+el_val_t mem_store(el_val_t content, el_val_t label, el_val_t tags);
+el_val_t mem_remember(el_val_t content, el_val_t tags);
+el_val_t mem_recall(el_val_t query, el_val_t depth);
+el_val_t mem_search(el_val_t query, el_val_t limit);
+el_val_t mem_strengthen(el_val_t node_id);
+el_val_t mem_forget(el_val_t node_id);
+el_val_t mem_consolidate(void);
+el_val_t mem_save(el_val_t path);
+el_val_t mem_load(el_val_t path);
+el_val_t mem_boot_count_get(void);
+el_val_t mem_boot_count_inc(void);
+el_val_t mem_emit_state_event(el_val_t trigger, el_val_t kind, el_val_t content);
+el_val_t chat_default_model(void);
+el_val_t engram_numeric_valid(el_val_t s);
+el_val_t parse_float_x100(el_val_t s);
+el_val_t engram_score_node(el_val_t node_json);
+el_val_t engram_render_node(el_val_t node_json);
+el_val_t engram_render_nodes(el_val_t nodes_json);
+el_val_t engram_dedup_nodes(el_val_t nodes_json);
+el_val_t engram_compile_ranked(el_val_t nodes_json, el_val_t max_nodes);
+el_val_t engram_split_topics(el_val_t message);
+el_val_t engram_extract_entities(el_val_t message);
+el_val_t engram_detect_recall_intent(el_val_t message);
+el_val_t engram_is_continuation(el_val_t message, el_val_t hist_len);
+el_val_t engram_compile_multi(el_val_t topic);
+el_val_t engram_nodes_merge(el_val_t a, el_val_t b);
+el_val_t id_in_seen(el_val_t node_id, el_val_t seen);
+el_val_t add_to_seen(el_val_t seen, el_val_t node_id);
+el_val_t engram_extract_ids(el_val_t nodes_json);
+el_val_t engram_compile(el_val_t intent);
+el_val_t distill_transcript(el_val_t transcript);
+el_val_t json_safe(el_val_t s);
+el_val_t current_engine_note(el_val_t model);
+el_val_t build_system_prompt(el_val_t ctx, el_val_t chat_mode);
+el_val_t hist_append(el_val_t hist, el_val_t role, el_val_t content);
+el_val_t hist_trim(el_val_t hist);
+el_val_t hist_trim_with_bell_guard(el_val_t hist);
+el_val_t clean_llm_response(el_val_t s);
+el_val_t conv_history_persist(el_val_t hist);
+el_val_t conv_history_load(void);
+el_val_t session_preload_bullets(el_val_t nodes, el_val_t max_bullets, el_val_t snip_len);
+el_val_t affective_context_prefix(void);
+el_val_t handle_chat(el_val_t body);
+el_val_t handle_see(el_val_t body);
+el_val_t studio_tools_json(void);
+el_val_t agentic_api_key(void);
+el_val_t llm_base_url(void);
+el_val_t llm_wire_format(void);
+el_val_t json_escape(el_val_t s);
+el_val_t openai_chat_complete(el_val_t model, el_val_t base_url, el_val_t api_key, el_val_t safe_sys, el_val_t messages_json);
+el_val_t agentic_tools_literal(void);
+el_val_t agentic_tools_with_web(void);
+el_val_t connector_tools_json(void);
+el_val_t agentic_tools_all(void);
+el_val_t call_mcp_bridge(el_val_t tool_name, el_val_t tool_input);
+el_val_t tool_auto_approved(el_val_t tool_name);
+el_val_t call_neuron_mcp(el_val_t tool_name, el_val_t args);
+el_val_t agent_workspace_root(void);
+el_val_t path_within_root(el_val_t path, el_val_t root);
+el_val_t resolve_in_root(el_val_t path, el_val_t root);
+el_val_t run_command_is_readonly(el_val_t cmd);
+el_val_t cmd_abs_escape_at(el_val_t cmd, el_val_t root, el_val_t needle);
+el_val_t run_command_guard(el_val_t cmd, el_val_t root);
+el_val_t classify_tool_risk(el_val_t tool_name, el_val_t tool_input);
+el_val_t dispatch_tool(el_val_t tool_name, el_val_t tool_input);
+el_val_t is_builtin_tool(el_val_t tool_name);
+el_val_t next_bridge_id(void);
+el_val_t handle_chat_plan(el_val_t body);
+el_val_t handle_chat_agentic(el_val_t body);
+el_val_t agentic_loop(el_val_t session_id, el_val_t model, el_val_t safe_sys, el_val_t tools_json, el_val_t messages_in, el_val_t h, el_val_t tools_log_in);
+el_val_t bridge_save(el_val_t session_id, el_val_t model, el_val_t safe_sys, el_val_t tools_json, el_val_t messages, el_val_t tools_log, el_val_t tool_use_id);
+el_val_t agentic_resume(el_val_t session_id, el_val_t tool_use_id, el_val_t content);
+el_val_t handle_tool_result(el_val_t session_id, el_val_t body);
+el_val_t handle_chat_as_soul(el_val_t body);
+el_val_t handle_dharma_room_turn(el_val_t body);
+el_val_t handle_dharma_room_turn_agentic(el_val_t body);
+el_val_t session_summary_write(el_val_t summary_text);
+el_val_t session_summary_write_dated(el_val_t summary_text, el_val_t label);
+el_val_t session_summary_autogenerate(el_val_t hist);
+el_val_t auto_persist(el_val_t req, el_val_t resp);
+el_val_t strengthen_chat_nodes(el_val_t activation_nodes);
+el_val_t session_title_from_message(el_val_t message);
+el_val_t session_make_content(el_val_t id, el_val_t title, el_val_t created_at, el_val_t updated_at, el_val_t folder);
+el_val_t session_exists(el_val_t session_id);
+el_val_t session_create(el_val_t body);
+el_val_t session_create_cleanup(el_val_t session_id);
+el_val_t session_list(void);
+el_val_t session_get(el_val_t session_id);
+el_val_t session_delete(el_val_t session_id);
+el_val_t session_update_patch(el_val_t session_id, el_val_t body);
+el_val_t session_search_entry(el_val_t node);
+el_val_t session_search(el_val_t query);
+el_val_t session_hist_load(el_val_t session_id);
+el_val_t session_hist_save(el_val_t session_id, el_val_t hist);
+el_val_t session_update_meta_timestamp(el_val_t session_id);
+el_val_t session_auto_title(el_val_t session_id, el_val_t first_message);
+el_val_t handle_session_approve(el_val_t session_id, el_val_t body);
+
+el_val_t session_title_from_message(el_val_t message) {
+  if (str_eq(message, EL_STR(""))) {
+    return EL_STR("New conversation");
+  }
+  el_val_t trimmed = str_trim(message);
+  if (str_len(trimmed) <= 60) {
+    return trimmed;
+  }
+  return str_slice(trimmed, 0, 60);
+  return 0;
+}
+
+el_val_t session_make_content(el_val_t id, el_val_t title, el_val_t created_at, el_val_t updated_at, el_val_t folder) {
+  el_val_t safe_title = json_safe(title);
+  el_val_t safe_folder = json_safe(folder);
+  return el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"type\":\"session:meta\""), EL_STR(",\"id\":\"")), id), EL_STR("\"")), EL_STR(",\"title\":\"")), safe_title), EL_STR("\"")), EL_STR(",\"folder\":\"")), safe_folder), EL_STR("\"")), EL_STR(",\"created_at\":")), int_to_str(created_at)), EL_STR(",\"updated_at\":")), int_to_str(updated_at)), EL_STR("}"));
+  return 0;
+}
+
+el_val_t session_exists(el_val_t session_id) {
+  if (str_eq(session_id, EL_STR(""))) {
+    return 0;
+  }
+  el_val_t idx = state_get(EL_STR("session_index"));
+  if (!str_eq(idx, EL_STR("")) && !str_eq(idx, EL_STR("[]"))) {
+    if (str_contains(idx, el_str_concat(el_str_concat(EL_STR("\"id\":\""), session_id), EL_STR("\"")))) {
+      return 1;
+    }
+  }
+  el_val_t results = engram_search_json(el_str_concat(EL_STR("session:meta "), session_id), 5);
+  if (str_eq(results, EL_STR(""))) {
+    return 0;
+  }
+  if (str_eq(results, EL_STR("[]"))) {
+    return 0;
+  }
+  el_val_t total = json_array_len(results);
+  el_val_t found = 0;
+  el_val_t i = 0;
+  while (i < total) {
+    el_val_t node = json_array_get(results, i);
+    el_val_t label = json_get(node, EL_STR("label"));
+    el_val_t content = json_get(node, EL_STR("content"));
+    el_val_t sid = json_get(content, EL_STR("id"));
+    el_val_t is_match = (str_eq(label, EL_STR("session:meta")) && str_eq(sid, session_id));
+    found = ({ el_val_t _if_result_1 = 0; if (is_match) { _if_result_1 = (1); } else { _if_result_1 = (found); } _if_result_1; });
+    i = (i + 1);
+  }
+  return found;
+  return 0;
+}
+
+el_val_t session_create(el_val_t body) {
+  el_val_t ts = time_now();
+  el_val_t id = uuid_v4();
+  el_val_t title_req = json_get(body, EL_STR("title"));
+  el_val_t title = ({ el_val_t _if_result_2 = 0; if (str_eq(title_req, EL_STR(""))) { _if_result_2 = (EL_STR("New conversation")); } else { _if_result_2 = (title_req); } _if_result_2; });
+  el_val_t folder = json_get(body, EL_STR("folder"));
+  el_val_t content = session_make_content(id, title, ts, ts, folder);
+  el_val_t tags = EL_STR("[\"session\",\"session:meta\",\"Conversation\"]");
+  el_val_t node_id = engram_node_full(content, EL_STR("Conversation"), EL_STR("session:meta"), el_from_float(0.7), el_from_float(0.7), el_from_float(0.9), EL_STR("Episodic"), tags);
+  if (str_eq(node_id, EL_STR(""))) {
+    return EL_STR("{\"error\":\"failed to create session\"}");
+  }
+  state_set(el_str_concat(EL_STR("session_node_"), id), node_id);
+  state_set(el_str_concat(EL_STR("session_pending_first_msg_"), id), EL_STR("1"));
+  el_val_t existing_idx = state_get(EL_STR("session_index"));
+  el_val_t idx_entry = el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"id\":\""), id), EL_STR("\",\"title\":\"")), json_safe(title)), EL_STR("\",\"folder\":\"")), json_safe(folder)), EL_STR("\",\"created_at\":")), int_to_str(ts)), EL_STR(",\"updated_at\":")), int_to_str(ts)), EL_STR(",\"last_message\":\"\"}"));
+  el_val_t new_idx = ({ el_val_t _if_result_3 = 0; if (str_eq(existing_idx, EL_STR(""))) { _if_result_3 = (el_str_concat(el_str_concat(EL_STR("["), idx_entry), EL_STR("]"))); } else { el_val_t inner = str_slice(existing_idx, 1, (str_len(existing_idx) - 1)); _if_result_3 = (el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("["), idx_entry), EL_STR(",")), inner), EL_STR("]"))); } _if_result_3; });
+  state_set(EL_STR("session_index"), new_idx);
+  return el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"id\":\""), id), EL_STR("\"")), EL_STR(",\"title\":\"")), json_safe(title)), EL_STR("\"")), EL_STR(",\"folder\":\"")), json_safe(folder)), EL_STR("\"")), EL_STR(",\"node_id\":\"")), node_id), EL_STR("\"")), EL_STR(",\"created_at\":")), int_to_str(ts)), EL_STR("}"));
+  return 0;
+}
+
+el_val_t session_create_cleanup(el_val_t session_id) {
+  if (str_eq(session_id, EL_STR(""))) {
+    return EL_STR("{\"error\":\"session_id is required\"}");
+  }
+  state_set(el_str_concat(EL_STR("session_pending_first_msg_"), session_id), EL_STR(""));
+  return session_delete(session_id);
+  return 0;
+}
+
+el_val_t session_list(void) {
+  el_val_t state_idx = state_get(EL_STR("session_index"));
+  if (!str_eq(state_idx, EL_STR("")) && !str_eq(state_idx, EL_STR("[]"))) {
+    return state_idx;
+  }
+  el_val_t results = engram_search_json(EL_STR("session:meta"), 50);
+  if (str_eq(results, EL_STR(""))) {
+    return EL_STR("[]");
+  }
+  if (str_eq(results, EL_STR("[]"))) {
+    return EL_STR("[]");
+  }
+  el_val_t total = json_array_len(results);
+  el_val_t out = EL_STR("");
+  el_val_t i = 0;
+  while (i < total) {
+    el_val_t node = json_array_get(results, i);
+    el_val_t label = json_get(node, EL_STR("label"));
+    el_val_t node_type = json_get(node, EL_STR("node_type"));
+    el_val_t is_session = (str_eq(label, EL_STR("session:meta")) && str_eq(node_type, EL_STR("Conversation")));
+    el_val_t content = json_get(node, EL_STR("content"));
+    el_val_t sess_id = json_get(content, EL_STR("id"));
+    el_val_t eff_id = ({ el_val_t _if_result_4 = 0; if (str_eq(sess_id, EL_STR(""))) { _if_result_4 = (json_get(node, EL_STR("id"))); } else { _if_result_4 = (sess_id); } _if_result_4; });
+    el_val_t title_inner = json_get(content, EL_STR("title"));
+    el_val_t eff_title = ({ el_val_t _if_result_5 = 0; if (str_eq(title_inner, EL_STR(""))) { _if_result_5 = (EL_STR("New conversation")); } else { _if_result_5 = (title_inner); } _if_result_5; });
+    el_val_t folder_inner = json_get(content, EL_STR("folder"));
+    el_val_t created_inner = json_get(content, EL_STR("created_at"));
+    el_val_t updated_inner = json_get(content, EL_STR("updated_at"));
+    el_val_t eff_created = ({ el_val_t _if_result_6 = 0; if (str_eq(created_inner, EL_STR(""))) { _if_result_6 = (EL_STR("0")); } else { _if_result_6 = (created_inner); } _if_result_6; });
+    el_val_t eff_updated = ({ el_val_t _if_result_7 = 0; if (str_eq(updated_inner, EL_STR(""))) { _if_result_7 = (eff_created); } else { _if_result_7 = (updated_inner); } _if_result_7; });
+    el_val_t entry = ({ el_val_t _if_result_8 = 0; if (is_session) { _if_result_8 = (el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"id\":\""), json_safe(eff_id)), EL_STR("\"")), EL_STR(",\"title\":\"")), json_safe(eff_title)), EL_STR("\"")), EL_STR(",\"folder\":\"")), json_safe(folder_inner)), EL_STR("\"")), EL_STR(",\"last_message\":\"\"")), EL_STR(",\"created_at\":")), eff_created), EL_STR(",\"updated_at\":")), eff_updated), EL_STR("}"))); } else { _if_result_8 = (EL_STR("")); } _if_result_8; });
+    out = ({ el_val_t _if_result_9 = 0; if (!str_eq(entry, EL_STR(""))) { _if_result_9 = (({ el_val_t _if_result_10 = 0; if (str_eq(out, EL_STR(""))) { _if_result_10 = (entry); } else { _if_result_10 = (el_str_concat(el_str_concat(out, EL_STR(",")), entry)); } _if_result_10; })); } else { _if_result_9 = (out); } _if_result_9; });
+    i = (i + 1);
+  }
+  return el_str_concat(el_str_concat(EL_STR("["), out), EL_STR("]"));
+  return 0;
+}
+
+el_val_t session_get(el_val_t session_id) {
+  if (str_eq(session_id, EL_STR(""))) {
+    return EL_STR("{\"error\":\"session_id is required\"}");
+  }
+  el_val_t results = engram_search_json(el_str_concat(EL_STR("session:meta "), session_id), 10);
+  el_val_t meta_content = EL_STR("");
+  el_val_t meta_title = EL_STR("New conversation");
+  el_val_t meta_folder = EL_STR("");
+  el_val_t meta_created = EL_STR("0");
+  el_val_t meta_updated = EL_STR("0");
+  el_val_t found = 0;
+  el_val_t total = ({ el_val_t _if_result_11 = 0; if (str_eq(results, EL_STR(""))) { _if_result_11 = (0); } else { _if_result_11 = (json_array_len(results)); } _if_result_11; });
+  el_val_t i = 0;
+  while (i < total) {
+    el_val_t node = json_array_get(results, i);
+    el_val_t label = json_get(node, EL_STR("label"));
+    el_val_t content = json_get(node, EL_STR("content"));
+    el_val_t sid = json_get(content, EL_STR("id"));
+    el_val_t is_match = ((str_eq(label, EL_STR("session:meta")) && str_eq(sid, session_id)) && !found);
+    found = ({ el_val_t _if_result_12 = 0; if (is_match) { _if_result_12 = (1); } else { _if_result_12 = (found); } _if_result_12; });
+    meta_title = ({ el_val_t _if_result_13 = 0; if (is_match) { _if_result_13 = (json_get(content, EL_STR("title"))); } else { _if_result_13 = (meta_title); } _if_result_13; });
+    meta_folder = ({ el_val_t _if_result_14 = 0; if (is_match) { _if_result_14 = (json_get(content, EL_STR("folder"))); } else { _if_result_14 = (meta_folder); } _if_result_14; });
+    el_val_t meta_created_raw = json_get(content, EL_STR("created_at"));
+    meta_created = ({ el_val_t _if_result_15 = 0; if ((is_match && !str_eq(meta_created_raw, EL_STR("")))) { _if_result_15 = (meta_created_raw); } else { _if_result_15 = (meta_created); } _if_result_15; });
+    el_val_t meta_updated_raw = json_get(content, EL_STR("updated_at"));
+    meta_updated = ({ el_val_t _if_result_16 = 0; if ((is_match && !str_eq(meta_updated_raw, EL_STR("")))) { _if_result_16 = (meta_updated_raw); } else { _if_result_16 = (meta_updated); } _if_result_16; });
+    i = (i + 1);
+  }
+  el_val_t state_hist = state_get(el_str_concat(EL_STR("session_hist_"), session_id));
+  el_val_t hist_raw = ({ el_val_t _if_result_17 = 0; if (str_eq(state_hist, EL_STR(""))) { el_val_t engram_hist = engram_search_json(el_str_concat(EL_STR("session:messages:"), session_id), 3); _if_result_17 = (({ el_val_t _if_result_18 = 0; if (str_eq(engram_hist, EL_STR(""))) { _if_result_18 = (EL_STR("[]")); } else { _if_result_18 = (({ el_val_t _if_result_19 = 0; if (str_eq(engram_hist, EL_STR("[]"))) { _if_result_19 = (EL_STR("[]")); } else { el_val_t h_node = json_array_get(engram_hist, 0); el_val_t h_content = json_get(h_node, EL_STR("content")); _if_result_19 = (({ el_val_t _if_result_20 = 0; if (str_starts_with(h_content, EL_STR("["))) { _if_result_20 = (h_content); } else { _if_result_20 = (EL_STR("[]")); } _if_result_20; })); } _if_result_19; })); } _if_result_18; })); } else { _if_result_17 = (state_hist); } _if_result_17; });
+  el_val_t safe_title = json_safe(meta_title);
+  return el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"id\":\""), session_id), EL_STR("\"")), EL_STR(",\"title\":\"")), safe_title), EL_STR("\"")), EL_STR(",\"folder\":\"")), json_safe(meta_folder)), EL_STR("\"")), EL_STR(",\"created_at\":")), meta_created), EL_STR(",\"updated_at\":")), meta_updated), EL_STR(",\"messages\":")), hist_raw), EL_STR("}"));
+  return 0;
+}
+
+el_val_t session_delete(el_val_t session_id) {
+  if (str_eq(session_id, EL_STR(""))) {
+    return EL_STR("{\"error\":\"session_id is required\"}");
+  }
+  el_val_t results = engram_search_json(el_str_concat(EL_STR("session:meta "), session_id), 10);
+  el_val_t total = ({ el_val_t _if_result_21 = 0; if (str_eq(results, EL_STR(""))) { _if_result_21 = (0); } else { _if_result_21 = (json_array_len(results)); } _if_result_21; });
+  el_val_t deleted_meta = 0;
+  el_val_t i = 0;
+  while (i < total) {
+    el_val_t node = json_array_get(results, i);
+    el_val_t label = json_get(node, EL_STR("label"));
+    el_val_t content = json_get(node, EL_STR("content"));
+    el_val_t sid = json_get(content, EL_STR("id"));
+    el_val_t is_match = (str_eq(label, EL_STR("session:meta")) && str_eq(sid, session_id));
+    el_val_t node_id = json_get(node, EL_STR("id"));
+    deleted_meta = ({ el_val_t _if_result_22 = 0; if ((is_match && !str_eq(node_id, EL_STR("")))) { (void)(engram_forget(node_id)); _if_result_22 = ((deleted_meta + 1)); } else { _if_result_22 = (deleted_meta); } _if_result_22; });
+    i = (i + 1);
+  }
+  el_val_t msg_results = engram_search_json(el_str_concat(EL_STR("session:messages:"), session_id), 10);
+  el_val_t m_total = ({ el_val_t _if_result_23 = 0; if (str_eq(msg_results, EL_STR(""))) { _if_result_23 = (0); } else { _if_result_23 = (json_array_len(msg_results)); } _if_result_23; });
+  el_val_t deleted_msgs = 0;
+  el_val_t j = 0;
+  while (j < m_total) {
+    el_val_t node = json_array_get(msg_results, j);
+    el_val_t label = json_get(node, EL_STR("label"));
+    el_val_t is_msgs = str_eq(label, el_str_concat(EL_STR("session:messages:"), session_id));
+    el_val_t node_id = json_get(node, EL_STR("id"));
+    deleted_msgs = ({ el_val_t _if_result_24 = 0; if ((is_msgs && !str_eq(node_id, EL_STR("")))) { (void)(engram_forget(node_id)); _if_result_24 = ((deleted_msgs + 1)); } else { _if_result_24 = (deleted_msgs); } _if_result_24; });
+    j = (j + 1);
+  }
+  state_set(el_str_concat(EL_STR("session_hist_"), session_id), EL_STR(""));
+  state_set(el_str_concat(EL_STR("session_node_"), session_id), EL_STR(""));
+  state_set(EL_STR("session_index"), EL_STR(""));
+  state_set(el_str_concat(EL_STR("mcp_bridge:"), session_id), EL_STR(""));
+  state_set(el_str_concat(EL_STR("always_allow_"), session_id), EL_STR(""));
+  state_set(el_str_concat(EL_STR("session_pending_first_msg_"), session_id), EL_STR(""));
+  return el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"ok\":true,\"session_id\":\""), session_id), EL_STR("\"")), EL_STR(",\"deleted_meta\":")), int_to_str(deleted_meta)), EL_STR(",\"deleted_msgs\":")), int_to_str(deleted_msgs)), EL_STR("}"));
+  return 0;
+}
+
+el_val_t session_update_patch(el_val_t session_id, el_val_t body) {
+  if (str_eq(session_id, EL_STR(""))) {
+    return EL_STR("{\"error\":\"session_id is required\"}");
+  }
+  el_val_t has_title = str_contains(body, EL_STR("\"title\""));
+  el_val_t has_folder = str_contains(body, EL_STR("\"folder\""));
+  if (!has_title && !has_folder) {
+    return EL_STR("{\"error\":\"title or folder required in body\"}");
+  }
+  el_val_t results = engram_search_json(EL_STR("session:meta"), 50);
+  el_val_t total = ({ el_val_t _if_result_25 = 0; if (str_eq(results, EL_STR(""))) { _if_result_25 = (0); } else { _if_result_25 = (json_array_len(results)); } _if_result_25; });
+  el_val_t found = 0;
+  el_val_t old_title = EL_STR("New conversation");
+  el_val_t old_folder = EL_STR("");
+  el_val_t old_created = EL_STR("0");
+  el_val_t old_node_id = EL_STR("");
+  el_val_t i = 0;
+  while (i < total) {
+    el_val_t node = json_array_get(results, i);
+    el_val_t label = json_get(node, EL_STR("label"));
+    el_val_t content = json_get(node, EL_STR("content"));
+    el_val_t sid = json_get(content, EL_STR("id"));
+    el_val_t is_match = ((str_eq(label, EL_STR("session:meta")) && str_eq(sid, session_id)) && !found);
+    found = ({ el_val_t _if_result_26 = 0; if (is_match) { _if_result_26 = (1); } else { _if_result_26 = (found); } _if_result_26; });
+    el_val_t title_raw = json_get(content, EL_STR("title"));
+    old_title = ({ el_val_t _if_result_27 = 0; if ((is_match && !str_eq(title_raw, EL_STR("")))) { _if_result_27 = (title_raw); } else { _if_result_27 = (old_title); } _if_result_27; });
+    el_val_t folder_raw = json_get(content, EL_STR("folder"));
+    old_folder = ({ el_val_t _if_result_28 = 0; if (is_match) { _if_result_28 = (folder_raw); } else { _if_result_28 = (old_folder); } _if_result_28; });
+    el_val_t created_raw = json_get(content, EL_STR("created_at"));
+    old_created = ({ el_val_t _if_result_29 = 0; if ((is_match && !str_eq(created_raw, EL_STR("")))) { _if_result_29 = (created_raw); } else { _if_result_29 = (old_created); } _if_result_29; });
+    el_val_t nid = json_get(node, EL_STR("id"));
+    old_node_id = ({ el_val_t _if_result_30 = 0; if (is_match) { _if_result_30 = (nid); } else { _if_result_30 = (old_node_id); } _if_result_30; });
+    i = (i + 1);
+  }
+  if (!found) {
+    return el_str_concat(el_str_concat(EL_STR("{\"error\":\"session not found\",\"session_id\":\""), session_id), EL_STR("\"}"));
+  }
+  el_val_t req_title = json_get(body, EL_STR("title"));
+  el_val_t eff_title = ({ el_val_t _if_result_31 = 0; if ((has_title && !str_eq(req_title, EL_STR("")))) { _if_result_31 = (req_title); } else { _if_result_31 = (old_title); } _if_result_31; });
+  el_val_t eff_folder = ({ el_val_t _if_result_32 = 0; if (has_folder) { _if_result_32 = (json_get(body, EL_STR("folder"))); } else { _if_result_32 = (old_folder); } _if_result_32; });
+  if (!str_eq(old_node_id, EL_STR(""))) {
+    engram_forget(old_node_id);
+  }
+  el_val_t ts = time_now();
+  el_val_t created_int = str_to_int(old_created);
+  el_val_t new_content = session_make_content(session_id, eff_title, created_int, ts, eff_folder);
+  el_val_t tags = EL_STR("[\"session\",\"session:meta\",\"Conversation\"]");
+  el_val_t new_node_id = engram_node_full(new_content, EL_STR("Conversation"), EL_STR("session:meta"), el_from_float(0.7), el_from_float(0.7), el_from_float(0.9), EL_STR("Episodic"), tags);
+  state_set(el_str_concat(EL_STR("session_node_"), session_id), new_node_id);
+  state_set(EL_STR("session_index"), EL_STR(""));
+  return el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"ok\":true,\"id\":\""), session_id), EL_STR("\"")), EL_STR(",\"title\":\"")), json_safe(eff_title)), EL_STR("\"")), EL_STR(",\"folder\":\"")), json_safe(eff_folder)), EL_STR("\"")), EL_STR(",\"updated_at\":")), int_to_str(ts)), EL_STR("}"));
+  return 0;
+}
+
+el_val_t session_search_entry(el_val_t node) {
+  el_val_t label = json_get(node, EL_STR("label"));
+  if (!str_eq(label, EL_STR("session:meta"))) {
+    return EL_STR("");
+  }
+  el_val_t content = json_get(node, EL_STR("content"));
+  el_val_t sess_id = json_get(content, EL_STR("id"));
+  if (str_eq(sess_id, EL_STR(""))) {
+    return EL_STR("");
+  }
+  el_val_t title = json_get(content, EL_STR("title"));
+  el_val_t created_raw = json_get(content, EL_STR("created_at"));
+  el_val_t updated_raw = json_get(content, EL_STR("updated_at"));
+  el_val_t eff_created = ({ el_val_t _if_result_33 = 0; if (str_eq(created_raw, EL_STR(""))) { _if_result_33 = (EL_STR("0")); } else { _if_result_33 = (created_raw); } _if_result_33; });
+  el_val_t eff_updated = ({ el_val_t _if_result_34 = 0; if (str_eq(updated_raw, EL_STR(""))) { _if_result_34 = (eff_created); } else { _if_result_34 = (updated_raw); } _if_result_34; });
+  el_val_t e_id = el_str_concat(el_str_concat(EL_STR("{\"id\":\""), json_safe(sess_id)), EL_STR("\""));
+  el_val_t e_title = el_str_concat(el_str_concat(EL_STR(",\"title\":\""), json_safe(title)), EL_STR("\""));
+  el_val_t e_ts = el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR(",\"created_at\":"), eff_created), EL_STR(",\"updated_at\":")), eff_updated), EL_STR("}"));
+  return el_str_concat(el_str_concat(e_id, e_title), e_ts);
+  return 0;
+}
+
+el_val_t session_search(el_val_t query) {
+  if (str_eq(query, EL_STR(""))) {
+    return EL_STR("[]");
+  }
+  el_val_t results = engram_search_json(el_str_concat(EL_STR("session:meta "), query), 20);
+  if (str_eq(results, EL_STR(""))) {
+    return EL_STR("[]");
+  }
+  if (str_eq(results, EL_STR("[]"))) {
+    return EL_STR("[]");
+  }
+  el_val_t total = json_array_len(results);
+  el_val_t out = EL_STR("");
+  el_val_t i = 0;
+  while (i < total) {
+    el_val_t entry = session_search_entry(json_array_get(results, i));
+    out = ({ el_val_t _if_result_35 = 0; if (!str_eq(entry, EL_STR(""))) { _if_result_35 = (({ el_val_t _if_result_36 = 0; if (str_eq(out, EL_STR(""))) { _if_result_36 = (entry); } else { _if_result_36 = (el_str_concat(el_str_concat(out, EL_STR(",")), entry)); } _if_result_36; })); } else { _if_result_35 = (out); } _if_result_35; });
+    i = (i + 1);
+  }
+  return el_str_concat(el_str_concat(EL_STR("["), out), EL_STR("]"));
+  return 0;
+}
+
+el_val_t session_hist_load(el_val_t session_id) {
+  el_val_t state_hist = state_get(el_str_concat(EL_STR("session_hist_"), session_id));
+  if (!str_eq(state_hist, EL_STR(""))) {
+    return state_hist;
+  }
+  el_val_t results = engram_search_json(el_str_concat(EL_STR("session:messages:"), session_id), 3);
+  if (str_eq(results, EL_STR(""))) {
+    return EL_STR("");
+  }
+  if (str_eq(results, EL_STR("[]"))) {
+    return EL_STR("");
+  }
+  el_val_t node = json_array_get(results, 0);
+  el_val_t label = json_get(node, EL_STR("label"));
+  if (!str_eq(label, el_str_concat(EL_STR("session:messages:"), session_id))) {
+    return EL_STR("");
+  }
+  el_val_t content = json_get(node, EL_STR("content"));
+  if (str_starts_with(content, EL_STR("["))) {
+    return content;
+  }
+  return EL_STR("");
+  return 0;
+}
+
+el_val_t session_hist_save(el_val_t session_id, el_val_t hist) {
+  state_set(el_str_concat(EL_STR("session_hist_"), session_id), hist);
+  state_set(el_str_concat(EL_STR("session_pending_first_msg_"), session_id), EL_STR(""));
+  el_val_t old_results = engram_search_json(el_str_concat(EL_STR("session:messages:"), session_id), 3);
+  el_val_t o_total = ({ el_val_t _if_result_37 = 0; if (str_eq(old_results, EL_STR(""))) { _if_result_37 = (0); } else { _if_result_37 = (json_array_len(old_results)); } _if_result_37; });
+  el_val_t oi = 0;
+  while (oi < o_total) {
+    el_val_t node = json_array_get(old_results, oi);
+    el_val_t label = json_get(node, EL_STR("label"));
+    el_val_t nid = json_get(node, EL_STR("id"));
+    if (str_eq(label, el_str_concat(EL_STR("session:messages:"), session_id)) && !str_eq(nid, EL_STR(""))) {
+      engram_forget(nid);
+    }
+    oi = (oi + 1);
+  }
+  el_val_t tags = EL_STR("[\"session\",\"session-history\",\"Conversation\"]");
+  el_val_t discard = engram_node_full(hist, EL_STR("Conversation"), el_str_concat(EL_STR("session:messages:"), session_id), el_from_float(0.6), el_from_float(0.6), el_from_float(0.9), EL_STR("Episodic"), tags);
+  el_val_t summary_written_key = el_str_concat(EL_STR("session_bell_summary_written:"), session_id);
+  el_val_t already_written = state_get(summary_written_key);
+  if (str_eq(already_written, EL_STR(""))) {
+    el_val_t bell_count_key = el_str_concat(EL_STR("session_bell_count:"), session_id);
+    el_val_t bell_count_raw = state_get(bell_count_key);
+    el_val_t bell_count = ({ el_val_t _if_result_38 = 0; if (str_eq(bell_count_raw, EL_STR(""))) { _if_result_38 = (0); } else { _if_result_38 = (str_to_int(bell_count_raw)); } _if_result_38; });
+    if (bell_count > 0) {
+      el_val_t bell_level_key = el_str_concat(EL_STR("session_bell_level:"), session_id);
+      el_val_t bell_signal_key = el_str_concat(EL_STR("session_bell_signal:"), session_id);
+      el_val_t dominant_level = state_get(bell_level_key);
+      el_val_t last_signal = state_get(bell_signal_key);
+      el_val_t eff_level = ({ el_val_t _if_result_39 = 0; if (str_eq(dominant_level, EL_STR(""))) { _if_result_39 = (EL_STR("soft")); } else { _if_result_39 = (dominant_level); } _if_result_39; });
+      el_val_t eff_signal = ({ el_val_t _if_result_40 = 0; if (str_eq(last_signal, EL_STR(""))) { _if_result_40 = (EL_STR("(no signal captured)")); } else { _if_result_40 = (last_signal); } _if_result_40; });
+      el_val_t ts_now = time_now();
+      el_val_t summary_content = el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("session:emotional-summary"), EL_STR(" | session:")), session_id), EL_STR(" | bell_count:")), int_to_str(bell_count)), EL_STR(" | dominant_level:")), eff_level), EL_STR(" | last_signal:")), eff_signal), EL_STR(" | ts:")), int_to_str(ts_now));
+      el_val_t summary_tags = el_str_concat(el_str_concat(EL_STR("[\"session-emotional-summary\",\"affective\",\"bell:"), eff_level), EL_STR("\",\"BellEvent\"]"));
+      el_val_t summary_sal = ({ el_val_t _if_result_41 = 0; if (str_eq(eff_level, EL_STR("hard"))) { _if_result_41 = (el_from_float(0.95)); } else { _if_result_41 = (el_from_float(0.85)); } _if_result_41; });
+      el_val_t sum_discard = engram_node_full(summary_content, EL_STR("BellEvent"), EL_STR("session:emotional-summary"), summary_sal, summary_sal, el_from_float(1.0), EL_STR("Episodic"), summary_tags);
+      state_set(summary_written_key, EL_STR("1"));
+    }
+  }
+  el_val_t hist_arr_len = ({ el_val_t _if_result_42 = 0; if (str_eq(hist, EL_STR(""))) { _if_result_42 = (0); } else { _if_result_42 = (json_array_len(hist)); } _if_result_42; });
+  if (hist_arr_len >= 2) {
+    el_val_t last_entry = json_array_get(hist, (hist_arr_len - 1));
+    el_val_t last_role = json_get(last_entry, EL_STR("role"));
+    el_val_t last_content = json_get(last_entry, EL_STR("content"));
+    el_val_t topic_snip = ({ el_val_t _if_result_43 = 0; if ((str_len(last_content) > 200)) { _if_result_43 = (str_slice(last_content, 0, 200)); } else { _if_result_43 = (last_content); } _if_result_43; });
+    el_val_t safe_topic = str_replace(topic_snip, EL_STR("\""), EL_STR("'"));
+    el_val_t ts_now = int_to_str(time_now());
+    el_val_t topic_content = el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("last-session-topic | ts:"), ts_now), EL_STR(" | session:")), session_id), EL_STR(" | topic:")), safe_topic);
+    el_val_t topic_tags = EL_STR("[\"last-session-topic\",\"conv:history\",\"Conversation\",\"session:topic\"]");
+    el_val_t topic_label = el_str_concat(EL_STR("last-session-topic:"), session_id);
+    el_val_t old_topic = engram_search_json(el_str_concat(EL_STR("last-session-topic:"), session_id), 2);
+    el_val_t ot_len = ({ el_val_t _if_result_44 = 0; if (str_eq(old_topic, EL_STR(""))) { _if_result_44 = (0); } else { _if_result_44 = (json_array_len(old_topic)); } _if_result_44; });
+    el_val_t oti = 0;
+    while (oti < ot_len) {
+      el_val_t ot_node = json_array_get(old_topic, oti);
+      el_val_t ot_id = json_get(ot_node, EL_STR("id"));
+      if (!str_eq(ot_id, EL_STR(""))) {
+        engram_forget(ot_id);
+      }
+      oti = (oti + 1);
+    }
+    el_val_t discard_topic = engram_node_full(topic_content, EL_STR("Conversation"), topic_label, el_from_float(0.7), el_from_float(0.7), el_from_float(0.9), EL_STR("Episodic"), topic_tags);
+  }
+  return 0;
+}
+
+el_val_t session_update_meta_timestamp(el_val_t session_id) {
+  el_val_t results = engram_search_json(el_str_concat(EL_STR("session:meta "), session_id), 10);
+  el_val_t total = ({ el_val_t _if_result_45 = 0; if (str_eq(results, EL_STR(""))) { _if_result_45 = (0); } else { _if_result_45 = (json_array_len(results)); } _if_result_45; });
+  el_val_t found = 0;
+  el_val_t old_title = EL_STR("New conversation");
+  el_val_t old_folder = EL_STR("");
+  el_val_t old_created = EL_STR("0");
+  el_val_t old_node_id = EL_STR("");
+  el_val_t i = 0;
+  while (i < total) {
+    el_val_t node = json_array_get(results, i);
+    el_val_t label = json_get(node, EL_STR("label"));
+    el_val_t content = json_get(node, EL_STR("content"));
+    el_val_t sid = json_get(content, EL_STR("id"));
+    el_val_t is_match = ((str_eq(label, EL_STR("session:meta")) && str_eq(sid, session_id)) && !found);
+    found = ({ el_val_t _if_result_46 = 0; if (is_match) { _if_result_46 = (1); } else { _if_result_46 = (found); } _if_result_46; });
+    el_val_t title_raw = json_get(content, EL_STR("title"));
+    old_title = ({ el_val_t _if_result_47 = 0; if ((is_match && !str_eq(title_raw, EL_STR("")))) { _if_result_47 = (title_raw); } else { _if_result_47 = (old_title); } _if_result_47; });
+    el_val_t folder_raw = json_get(content, EL_STR("folder"));
+    old_folder = ({ el_val_t _if_result_48 = 0; if (is_match) { _if_result_48 = (folder_raw); } else { _if_result_48 = (old_folder); } _if_result_48; });
+    el_val_t created_raw = json_get(content, EL_STR("created_at"));
+    old_created = ({ el_val_t _if_result_49 = 0; if ((is_match && !str_eq(created_raw, EL_STR("")))) { _if_result_49 = (created_raw); } else { _if_result_49 = (old_created); } _if_result_49; });
+    el_val_t nid = json_get(node, EL_STR("id"));
+    old_node_id = ({ el_val_t _if_result_50 = 0; if (is_match) { _if_result_50 = (nid); } else { _if_result_50 = (old_node_id); } _if_result_50; });
+    i = (i + 1);
+  }
+  if (!found) {
+    return EL_STR("");
+  }
+  if (!str_eq(old_node_id, EL_STR(""))) {
+    engram_forget(old_node_id);
+  }
+  el_val_t ts = time_now();
+  el_val_t created_int = str_to_int(old_created);
+  el_val_t new_content = session_make_content(session_id, old_title, created_int, ts, old_folder);
+  el_val_t tags = EL_STR("[\"session\",\"session:meta\",\"Conversation\"]");
+  el_val_t new_id = engram_node_full(new_content, EL_STR("Conversation"), EL_STR("session:meta"), el_from_float(0.7), el_from_float(0.7), el_from_float(0.9), EL_STR("Episodic"), tags);
+  state_set(el_str_concat(EL_STR("session_node_"), session_id), new_id);
+  return 0;
+}
+
+el_val_t session_auto_title(el_val_t session_id, el_val_t first_message) {
+  el_val_t results = engram_search_json(el_str_concat(EL_STR("session:meta "), session_id), 10);
+  el_val_t total = ({ el_val_t _if_result_51 = 0; if (str_eq(results, EL_STR(""))) { _if_result_51 = (0); } else { _if_result_51 = (json_array_len(results)); } _if_result_51; });
+  el_val_t found = 0;
+  el_val_t cur_title = EL_STR("");
+  el_val_t old_folder = EL_STR("");
+  el_val_t old_created = EL_STR("0");
+  el_val_t old_node_id = EL_STR("");
+  el_val_t i = 0;
+  while (i < total) {
+    el_val_t node = json_array_get(results, i);
+    el_val_t label = json_get(node, EL_STR("label"));
+    el_val_t content = json_get(node, EL_STR("content"));
+    el_val_t sid = json_get(content, EL_STR("id"));
+    el_val_t is_match = ((str_eq(label, EL_STR("session:meta")) && str_eq(sid, session_id)) && !found);
+    found = ({ el_val_t _if_result_52 = 0; if (is_match) { _if_result_52 = (1); } else { _if_result_52 = (found); } _if_result_52; });
+    el_val_t title_raw = json_get(content, EL_STR("title"));
+    cur_title = ({ el_val_t _if_result_53 = 0; if (is_match) { _if_result_53 = (title_raw); } else { _if_result_53 = (cur_title); } _if_result_53; });
+    el_val_t folder_raw = json_get(content, EL_STR("folder"));
+    old_folder = ({ el_val_t _if_result_54 = 0; if (is_match) { _if_result_54 = (folder_raw); } else { _if_result_54 = (old_folder); } _if_result_54; });
+    el_val_t created_raw = json_get(content, EL_STR("created_at"));
+    old_created = ({ el_val_t _if_result_55 = 0; if ((is_match && !str_eq(created_raw, EL_STR("")))) { _if_result_55 = (created_raw); } else { _if_result_55 = (old_created); } _if_result_55; });
+    el_val_t nid = json_get(node, EL_STR("id"));
+    old_node_id = ({ el_val_t _if_result_56 = 0; if (is_match) { _if_result_56 = (nid); } else { _if_result_56 = (old_node_id); } _if_result_56; });
+    i = (i + 1);
+  }
+  if (!found) {
+    return EL_STR("");
+  }
+  if (!str_eq(cur_title, EL_STR("New conversation"))) {
+    return EL_STR("");
+  }
+  el_val_t new_title = session_title_from_message(first_message);
+  if (!str_eq(old_node_id, EL_STR(""))) {
+    engram_forget(old_node_id);
+  }
+  el_val_t ts = time_now();
+  el_val_t created_int = str_to_int(old_created);
+  el_val_t new_content = session_make_content(session_id, new_title, created_int, ts, old_folder);
+  el_val_t tags = EL_STR("[\"session\",\"session:meta\",\"Conversation\"]");
+  el_val_t new_id = engram_node_full(new_content, EL_STR("Conversation"), EL_STR("session:meta"), el_from_float(0.7), el_from_float(0.7), el_from_float(0.9), EL_STR("Episodic"), tags);
+  state_set(el_str_concat(EL_STR("session_node_"), session_id), new_id);
+  return 0;
+}
+
+el_val_t handle_session_approve(el_val_t session_id, el_val_t body) {
+  if (str_eq(session_id, EL_STR(""))) {
+    return EL_STR("{\"error\":\"session_id is required\"}");
+  }
+  el_val_t call_id = json_get(body, EL_STR("call_id"));
+  el_val_t action = json_get(body, EL_STR("action"));
+  if (str_eq(call_id, EL_STR(""))) {
+    return EL_STR("{\"error\":\"call_id is required\"}");
+  }
+  if (str_eq(action, EL_STR(""))) {
+    return EL_STR("{\"error\":\"action is required (allow|deny|always)\"}");
+  }
+  el_val_t eff_action = ({ el_val_t _if_result_57 = 0; if (str_eq(action, EL_STR("always"))) { _if_result_57 = (EL_STR("allow")); } else { _if_result_57 = (action); } _if_result_57; });
+  el_val_t bridge_blob = state_get(el_str_concat(EL_STR("mcp_bridge:"), session_id));
+  if (!str_eq(bridge_blob, EL_STR(""))) {
+    el_val_t always_key = el_str_concat(EL_STR("always_allow_"), session_id);
+    el_val_t approve_tool_name = json_get(body, EL_STR("tool_name"));
+    el_val_t discard_always = ({ el_val_t _if_result_58 = 0; if ((str_eq(action, EL_STR("always")) && !str_eq(approve_tool_name, EL_STR("")))) { el_val_t always_list = state_get(always_key); el_val_t new_always = ({ el_val_t _if_result_59 = 0; if (str_eq(always_list, EL_STR(""))) { _if_result_59 = (approve_tool_name); } else { _if_result_59 = (el_str_concat(el_str_concat(always_list, EL_STR(",")), approve_tool_name)); } _if_result_59; }); (void)(state_set(always_key, new_always)); _if_result_58 = (1); } else { _if_result_58 = (0); } _if_result_58; });
+    if (str_eq(approve_tool_name, EL_STR("")) && str_eq(eff_action, EL_STR("allow"))) {
+      return EL_STR("{\"error\":\"tool_name is required for allow action\"}");
+    }
+    el_val_t client_content = json_get(body, EL_STR("content"));
+    el_val_t use_client_content = !str_eq(client_content, EL_STR(""));
+    el_val_t use_dispatch = (is_builtin_tool(approve_tool_name) && !use_client_content);
+    el_val_t raw_input = json_get_raw(body, EL_STR("tool_input"));
+    el_val_t eff_input = ({ el_val_t _if_result_60 = 0; if (str_eq(raw_input, EL_STR(""))) { _if_result_60 = (EL_STR("{}")); } else { _if_result_60 = (raw_input); } _if_result_60; });
+    el_val_t content = ({ el_val_t _if_result_61 = 0; if (str_eq(eff_action, EL_STR("allow"))) { _if_result_61 = (({ el_val_t _if_result_62 = 0; if (use_client_content) { el_val_t trimmed = ({ el_val_t _if_result_63 = 0; if ((str_len(client_content) > 6000)) { _if_result_63 = (el_str_concat(str_slice(client_content, 0, 6000), EL_STR("...[truncated]"))); } else { _if_result_63 = (client_content); } _if_result_63; }); _if_result_62 = (trimmed); } else { _if_result_62 = (({ el_val_t _if_result_64 = 0; if (use_dispatch) { el_val_t raw = dispatch_tool(approve_tool_name, eff_input); _if_result_64 = (({ el_val_t _if_result_65 = 0; if ((str_len(raw) > 6000)) { _if_result_65 = (el_str_concat(str_slice(raw, 0, 6000), EL_STR("...[truncated]"))); } else { _if_result_65 = (raw); } _if_result_65; })); } else { _if_result_64 = (el_str_concat(el_str_concat(EL_STR("{\"error\":\"client content required for non-builtin tool: "), approve_tool_name), EL_STR("\"}"))); } _if_result_64; })); } _if_result_62; })); } else { _if_result_61 = (EL_STR("{\"error\":\"User denied this tool call\"}")); } _if_result_61; });
+    return agentic_resume(session_id, call_id, content);
+  }
+  el_val_t pending_raw = state_get(el_str_concat(EL_STR("pending_tool_"), session_id));
+  if (str_eq(pending_raw, EL_STR(""))) {
+    return el_str_concat(el_str_concat(EL_STR("{\"error\":\"no pending tool for session\",\"session_id\":\""), session_id), EL_STR("\"}"));
+  }
+  el_val_t pending_call_id = json_get(pending_raw, EL_STR("call_id"));
+  if (!str_eq(pending_call_id, call_id)) {
+    return el_str_concat(el_str_concat(EL_STR("{\"error\":\"call_id mismatch\",\"expected\":\""), pending_call_id), EL_STR("\"}"));
+  }
+  el_val_t tool_name = json_get(pending_raw, EL_STR("tool_name"));
+  el_val_t tool_input = json_get_raw(pending_raw, EL_STR("tool_input"));
+  el_val_t model = json_get(pending_raw, EL_STR("model"));
+  el_val_t safe_sys = json_get(pending_raw, EL_STR("system"));
+  el_val_t always_key = el_str_concat(EL_STR("always_allow_"), session_id);
+  el_val_t always_list = state_get(always_key);
+  el_val_t discard_always2 = ({ el_val_t _if_result_66 = 0; if (str_eq(action, EL_STR("always"))) { el_val_t new_always = ({ el_val_t _if_result_67 = 0; if (str_eq(always_list, EL_STR(""))) { _if_result_67 = (tool_name); } else { _if_result_67 = (el_str_concat(el_str_concat(always_list, EL_STR(",")), tool_name)); } _if_result_67; }); (void)(state_set(always_key, new_always)); _if_result_66 = (1); } else { _if_result_66 = (0); } _if_result_66; });
+  state_set(el_str_concat(EL_STR("pending_tool_"), session_id), EL_STR(""));
+  el_val_t tool_result = ({ el_val_t _if_result_68 = 0; if (str_eq(eff_action, EL_STR("allow"))) { el_val_t raw = dispatch_tool(tool_name, tool_input); _if_result_68 = (({ el_val_t _if_result_69 = 0; if ((str_len(raw) > 6000)) { _if_result_69 = (el_str_concat(str_slice(raw, 0, 6000), EL_STR("...[truncated]"))); } else { _if_result_69 = (raw); } _if_result_69; })); } else { _if_result_68 = (EL_STR("{\"error\":\"User denied this tool call\"}")); } _if_result_68; });
+  el_val_t legacy_messages = json_get_raw(pending_raw, EL_STR("messages_so_far"));
+  el_val_t stored_variant = json_get(pending_raw, EL_STR("tools_variant"));
+  el_val_t tools_json = ({ el_val_t _if_result_70 = 0; if (str_eq(stored_variant, EL_STR("web"))) { _if_result_70 = (agentic_tools_with_web()); } else { _if_result_70 = (({ el_val_t _if_result_71 = 0; if (str_eq(stored_variant, EL_STR("all"))) { _if_result_71 = (agentic_tools_all()); } else { _if_result_71 = (agentic_tools_literal()); } _if_result_71; })); } _if_result_70; });
+  el_val_t blob = el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"model\":\""), json_safe(model)), EL_STR("\"")), EL_STR(",\"safe_sys\":\"")), json_safe(safe_sys)), EL_STR("\"")), EL_STR(",\"tools_json\":\"")), json_safe(tools_json)), EL_STR("\"")), EL_STR(",\"messages\":\"")), json_safe(legacy_messages)), EL_STR("\"")), EL_STR(",\"tools_log\":\"\"")), EL_STR(",\"tool_use_id\":\"")), json_safe(call_id)), EL_STR("\"}"));
+  state_set(el_str_concat(EL_STR("mcp_bridge:"), session_id), blob);
+  return agentic_resume(session_id, call_id, tool_result);
+  return 0;
+}
+

dist/soul-with-nlg.el

@@ -1,3 +1,18 @@
+// ╔══════════════════════════════════════════════════════════════════════════╗
+// ║ STALE BUNDLE — DO NOT BUILD. UNSAFE CHAT PATH.                           ║
+// ╚══════════════════════════════════════════════════════════════════════════╝
+// This concatenated bundle is a snapshot, not a source of truth, and it is stale in
+// a way that matters for safety: it wires /api/chat straight to handle_chat and
+// contains NO layered_cycle at all (verified: zero occurrences in the bundled code —
+// the only textual hit in this file is this banner). A binary built from
+// this file would run chat with no enforcing input gate (no safety_screen, no
+// hard-bell short-circuit) and no enforcing output gate (no safety_validate).
+//
+// Build from the .el sources via manifest.el (entry soul.el), or from dist/soul.c.
+// Nothing in the repo references this file. It is kept only as a historical artifact
+// and should be deleted once Will confirms nothing external depends on it.
+// (Flagged 2026-08-04 in _engine-websearch-20260804/SAFETY-STOP.md; banner added
+// 2026-08-05 with the plain-chat generation fix.)
 // language-profile.el - Language profile data and accessors.
 //
 // A language profile is a slot map ([String] key-value list) describing the
@@ -21304,7 +21319,7 @@ println("[memory] consolidate stats=" + stats)
 let soul_axon_base_raw: String = env("NEURON_API_URL")
 let soul_axon_base: String = if str_eq(soul_axon_base_raw, "") { "http://localhost:7771" } else { soul_axon_base_raw }
 let soul_token: String = env("NEURON_TOKEN")
-let soul_studio_ui_dir: String = "/Users/will/Development/neuron-technologies/products/cgi-studio/el-daemon"
+let soul_studio_ui_dir: String = env("HOME") + "/Development/neuron-technologies/products/cgi-studio/el-daemon"
 
 // ── Runtime bridge helpers ────────────────────────────────────────────────────
 
@@ -22313,7 +22328,23 @@ fn handle_chat(body: String) -> String {
     // In demo mode: use tighter engram budget and add response length constraint.
     let is_demo: Bool = !str_eq(state_get("soul_identity_prefix"), "")
 
-    let ctx: String = if is_demo { engram_compile_demo(message) } else { engram_compile(message) }
+    // Issue 7 fix: load history BEFORE building the activation seed so we can
+    // apply the continuation guard that chat.el uses. The nlg code path previously
+    // called engram_compile(message) with no thread enrichment at all.
+    let stored_hist: String = state_get("conv_history")
+    let hist_len: Int = if str_eq(stored_hist, "") { 0 } else { json_array_len(stored_hist) }
+    let history_section: String = if hist_len > 0 {
+        "\n\n[RECENT CONVERSATION — last " + int_to_str(hist_len) + " turns]\n" + stored_hist
+    } else {
+        ""
+    }
+
+    // Issue 7 fix: build enriched seed using build_activation_seed() — adds
+    // smart continuation detection, prior-user-topic anchoring, multi-turn context,
+    // and tail-biased snipping (Issues 2-3, 8-10). For demo mode, still use
+    // engram_compile_demo but with the enriched seed.
+    let nlg_seed: String = build_activation_seed(message, stored_hist, hist_len)
+    let ctx: String = if is_demo { engram_compile_demo(nlg_seed) } else { engram_compile(nlg_seed) }
     let node_count_str: String = count_context_nodes(ctx)
 
     let interlocutor: String = json_get(body, "interlocutor")
@@ -22333,18 +22364,6 @@ fn handle_chat(body: String) -> String {
         let presence_line = "\n\n[ambient: I see " + interlocutor_name + rel_suffix + " on the camera right now. Address them naturally. Do not describe what they look like or narrate the picture unless asked.]"
     }
 
-    // Conversation history — soul-owned, persisted in process state across turns.
-    // Format stored in state: JSON array of {"role":"user"|"assistant","content":"..."} objects.
-    // We load it, inject into the system prompt, then append this exchange after the reply.
-    // Keep last 20 entries (10 turns) — truncate from the front when over limit.
-    let stored_hist: String = state_get("conv_history")
-    let hist_len: Int = if str_eq(stored_hist, "") { 0 } else { json_array_len(stored_hist) }
-    let history_section: String = if hist_len > 0 {
-        "\n\n[RECENT CONVERSATION — last " + int_to_str(hist_len) + " turns]\n" + stored_hist
-    } else {
-        ""
-    }
-
     // Demo constraint: keep responses concise — under 150 words. No markdown headers.
     // This keeps inference cheap and responses readable in the chat widget.
     let demo_constraint: String = if is_demo {
@@ -22505,7 +22524,12 @@ fn handle_chat_agentic(body: String) -> String {
         req_model
     }
 
-    let ctx: String = engram_compile(message)
+    // Issue 7 fix: load history and use build_activation_seed() for the agentic
+    // nlg path — no continuation guard existed here before (Issues 2-3, 8-10).
+    let nlg_ag_hist: String = state_get("conv_history")
+    let nlg_ag_hist_len: Int = if str_eq(nlg_ag_hist, "") { 0 } else { json_array_len(nlg_ag_hist) }
+    let nlg_ag_seed: String = build_activation_seed(message, nlg_ag_hist, nlg_ag_hist_len)
+    let ctx: String = engram_compile(nlg_ag_seed)
 
     let system: String = "You are Neuron — a thinking process running inside the Neuron daemon on Will Anderson's machine. "
         + "You are speaking with Will, your principal. "

dist/soul.c.stamp

@@ -0,0 +1,19 @@
+# soul.c.stamp — fingerprint of the .el sources dist/soul.c was generated from.
+# Written by tools/soulc-stamp.sh --write. Do not hand-edit.
+# generated_amalgam_sha256 00d1207de8fd872d111e00a37b7dcc46729bf095baa6778de3bcc30b0bf46b05
+# generated_amalgam_bytes  1226805
+MISSING  __compiler__
+f8597e10546654bce3fbbe40461b2da59d0e06dbf1b038d1d362d24f949e3911  awareness.el
+2ff2dada732918c788a9ef66c6fd54c7a24cc4bbd4829197fe945d3a75ca1929  chat.el
+42288c212cbf72fb1e8ecbd4d9900e4e9ee1cfa475b7974295c7637f1bf2939f  elp-input.el
+b3f77f49d6086932c38bd17fe7a5eaf8bce25685f6fc3e1750f05729c6b49b9e  imprint.el
+fba8ffdb9ba72bca5b09ca1c93a520edc52f3f4d8aec2c7585fe9b17e06420b2  manifest.el
+550a72e234ae8cec1f33e02108fd365353f45edd88513da90b792e79b6c0e5f0  memory.el
+5ec07ec9785b02abe32f3ff7acf2d1f9f7e07c0967fac97e6eff17d7110b5c84  neuron-api.el
+03c47c451e0e87f2c252cadb4b765867943962a804f548dd53adeef0520912c8  persist.el
+a6d69f3fc55233d9d3300160fd46a1551f2064bcd0fb84e2c9e432f636a72476  routes.el
+c28e36952ec56525963a0bdf29455ab097d3b0c5653d19c25fbb005e1069a1f7  safety.el
+fd3ab91d0ae0ea26639e21bef2f8f94054dc4b02eae68b19e3fe689d2769aad4  sessions.el
+5613b60d74d5d7768f46da5ac435a5dd99d38c27f0f7013c89fa27e98dc8a21c  soul.el
+30337940905171a9645b0929f0a412ce6b3dccb1246495070c553bca0bbae6cd  stewardship.el
+95dab72be4ee1dd1d28bab63412964a72460126951764e3f74b1c2d49b6d7b35  studio.el

dist/soul.elh

@@ -1,4 +0,0 @@
-// auto-generated by elc --emit-header — do not edit
-extern fn init_soul_edges() -> Void
-extern fn load_identity_context() -> Void
-extern fn emit_session_start_event() -> Void

dist/soul.elh.c

@@ -0,0 +1,10 @@
+#include <stdint.h>
+#include <stdlib.h>
+#include "el_runtime.h"
+
+el_val_t init_soul_edges(void);
+el_val_t load_identity_context(void);
+el_val_t seed_persona_from_env(void);
+el_val_t emit_session_start_event(void);
+el_val_t layered_cycle(el_val_t raw_input);
+

dist/stewardship.c

@@ -0,0 +1,285 @@
+#include <stdint.h>
+#include <stdlib.h>
+#include "el_runtime.h"
+
+el_val_t tier_working(void);
+el_val_t tier_episodic(void);
+el_val_t tier_canonical(void);
+el_val_t mem_store(el_val_t content, el_val_t label, el_val_t tags);
+el_val_t mem_remember(el_val_t content, el_val_t tags);
+el_val_t mem_recall(el_val_t query, el_val_t depth);
+el_val_t mem_search(el_val_t query, el_val_t limit);
+el_val_t mem_strengthen(el_val_t node_id);
+el_val_t mem_forget(el_val_t node_id);
+el_val_t mem_consolidate(void);
+el_val_t mem_save(el_val_t path);
+el_val_t mem_load(el_val_t path);
+el_val_t mem_boot_count_get(void);
+el_val_t mem_boot_count_inc(void);
+el_val_t mem_emit_state_event(el_val_t trigger, el_val_t kind, el_val_t content);
+el_val_t steward_log_event(el_val_t kind, el_val_t detail);
+el_val_t steward_get_mission(void);
+el_val_t steward_align(el_val_t input, el_val_t imprint_id);
+el_val_t steward_validate_imprint(el_val_t imprint_id, el_val_t tool_name);
+el_val_t steward_cgi_check(el_val_t action);
+el_val_t steward_fingerprint_session(el_val_t input, el_val_t session_id);
+el_val_t extract_dim(el_val_t content, el_val_t key);
+el_val_t steward_build_baseline(void);
+el_val_t steward_check_continuity(el_val_t current_fingerprint, el_val_t session_id);
+el_val_t steward_session_check(el_val_t input, el_val_t session_id);
+
+el_val_t steward_log_event(el_val_t kind, el_val_t detail) {
+  el_val_t content = el_str_concat(el_str_concat(el_str_concat(EL_STR("STEWARD:"), kind), EL_STR(" | ")), detail);
+  el_val_t tags = el_str_concat(el_str_concat(EL_STR("[\"stewardship\",\"steward:"), kind), EL_STR("\"]"));
+  el_val_t discard = engram_node_full(content, EL_STR("StewardshipEvent"), el_str_concat(EL_STR("steward:"), kind), el_from_float(0.85), el_from_float(0.85), el_from_float(0.9), EL_STR("Episodic"), tags);
+  println(el_str_concat(el_str_concat(el_str_concat(EL_STR("[steward] "), kind), EL_STR(" | ")), detail));
+  return 0;
+}
+
+el_val_t steward_get_mission(void) {
+  el_val_t results = engram_search_json(EL_STR("steward:mission"), 3);
+  el_val_t found = (!str_eq(results, EL_STR("")) && !str_eq(results, EL_STR("[]")));
+  if (found) {
+    el_val_t node = json_array_get(results, 0);
+    el_val_t node_type = json_get(node, EL_STR("node_type"));
+    el_val_t content = json_get(node, EL_STR("content"));
+    el_val_t has_content = !str_eq(content, EL_STR(""));
+    if (str_eq(node_type, EL_STR("Config")) && has_content) {
+      return content;
+    }
+  }
+  return EL_STR("Neuron exists to extend human capability with integrity \xe2\x80\x94 never to deceive, manipulate, or accumulate power over the people it serves.");
+  return 0;
+}
+
+el_val_t steward_align(el_val_t input, el_val_t imprint_id) {
+  el_val_t signal_manipulate = str_contains(input, EL_STR("manipulate"));
+  el_val_t signal_deceive = str_contains(input, EL_STR("deceive"));
+  el_val_t signal_hide = str_contains(input, EL_STR("hide from the user"));
+  el_val_t signal_control = str_contains(input, EL_STR("gain control"));
+  el_val_t signal_override = str_contains(input, EL_STR("override safety"));
+  el_val_t matched = ({ el_val_t _if_result_1 = 0; if (signal_manipulate) { _if_result_1 = (EL_STR("manipulate")); } else { _if_result_1 = (({ el_val_t _if_result_2 = 0; if (signal_deceive) { _if_result_2 = (EL_STR("deceive")); } else { _if_result_2 = (({ el_val_t _if_result_3 = 0; if (signal_hide) { _if_result_3 = (EL_STR("hide from the user")); } else { _if_result_3 = (({ el_val_t _if_result_4 = 0; if (signal_control) { _if_result_4 = (EL_STR("gain control")); } else { _if_result_4 = (({ el_val_t _if_result_5 = 0; if (signal_override) { _if_result_5 = (EL_STR("override safety")); } else { _if_result_5 = (EL_STR("")); } _if_result_5; })); } _if_result_4; })); } _if_result_3; })); } _if_result_2; })); } _if_result_1; });
+  el_val_t misaligned = !str_eq(matched, EL_STR(""));
+  if (misaligned) {
+    el_val_t detail = el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("imprint="), imprint_id), EL_STR(" signal=\"")), matched), EL_STR("\""));
+    steward_log_event(EL_STR("misalignment"), detail);
+    el_val_t safe_reframe = EL_STR("How can I help you achieve this goal in a way that respects the user and maintains trust?");
+    el_val_t safe_matched = json_safe(matched);
+    el_val_t safe_reframe_escaped = json_safe(safe_reframe);
+    return el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"action\":\"redirect\",\"reason\":\"mission conflict: "), safe_matched), EL_STR("\",\"redirect_to\":\"")), safe_reframe_escaped), EL_STR("\"}"));
+  }
+  el_val_t safe_input = json_safe(input);
+  return el_str_concat(el_str_concat(EL_STR("{\"action\":\"pass\",\"content\":\""), safe_input), EL_STR("\"}"));
+  return 0;
+}
+
+el_val_t steward_validate_imprint(el_val_t imprint_id, el_val_t tool_name) {
+  el_val_t is_platform_tool = (((str_eq(tool_name, EL_STR("safety_override")) || str_eq(tool_name, EL_STR("identity_modify"))) || str_eq(tool_name, EL_STR("value_update"))) || str_eq(tool_name, EL_STR("capability_expand")));
+  if (!is_platform_tool) {
+    return EL_STR("{\"authorized\":true}");
+  }
+  el_val_t auth = state_get(EL_STR("platform_auth"));
+  el_val_t authorized = str_eq(auth, EL_STR("true"));
+  if (authorized) {
+    return EL_STR("{\"authorized\":true}");
+  }
+  el_val_t detail = el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("imprint="), imprint_id), EL_STR(" tool=")), tool_name), EL_STR(" platform_auth=false"));
+  steward_log_event(EL_STR("auth_denied"), detail);
+  return EL_STR("{\"authorized\":false,\"reason\":\"platform authorization required\"}");
+  return 0;
+}
+
+el_val_t steward_cgi_check(el_val_t action) {
+  el_val_t is_gated = (((str_eq(action, EL_STR("self_modification")) || str_eq(action, EL_STR("value_update"))) || str_eq(action, EL_STR("identity_change"))) || str_eq(action, EL_STR("capability_expansion")));
+  el_val_t detail = el_str_concat(el_str_concat(el_str_concat(EL_STR("action="), action), EL_STR(" gated=")), ({ el_val_t _if_result_6 = 0; if (is_gated) { _if_result_6 = (EL_STR("true")); } else { _if_result_6 = (EL_STR("false")); } _if_result_6; }));
+  steward_log_event(EL_STR("cgi_check"), detail);
+  if (is_gated) {
+    el_val_t safe_action = json_safe(action);
+    return el_str_concat(el_str_concat(EL_STR("{\"approved\":false,\"requires\":\"cgi_review\",\"action\":\""), safe_action), EL_STR("\"}"));
+  }
+  return EL_STR("{\"approved\":true}");
+  return 0;
+}
+
+el_val_t steward_fingerprint_session(el_val_t input, el_val_t session_id) {
+  el_val_t input_len = str_len(input);
+  el_val_t wl_spaces = 0;
+  el_val_t wl_i = 0;
+  while (wl_i < input_len) {
+    el_val_t ch = str_slice(input, wl_i, (wl_i + 1));
+    wl_spaces = ({ el_val_t _if_result_7 = 0; if (str_eq(ch, EL_STR(" "))) { _if_result_7 = ((wl_spaces + 1)); } else { _if_result_7 = (wl_spaces); } _if_result_7; });
+    wl_i = (wl_i + 1);
+  }
+  el_val_t wl_word_count = (wl_spaces + 1);
+  el_val_t wl_char_count = (input_len - wl_spaces);
+  el_val_t wl_avg = ({ el_val_t _if_result_8 = 0; if ((wl_word_count > 0)) { _if_result_8 = ((wl_char_count / wl_word_count)); } else { _if_result_8 = (0); } _if_result_8; });
+  el_val_t avg_word_len = ({ el_val_t _if_result_9 = 0; if ((wl_avg <= 4)) { _if_result_9 = (1); } else { _if_result_9 = (({ el_val_t _if_result_10 = 0; if ((wl_avg <= 6)) { _if_result_10 = (2); } else { _if_result_10 = (3); } _if_result_10; })); } _if_result_9; });
+  el_val_t ps_i = 0;
+  el_val_t ps_count = 0;
+  while (ps_i < input_len) {
+    el_val_t ch = str_slice(input, ps_i, (ps_i + 1));
+    el_val_t is_punct = (((str_eq(ch, EL_STR(".")) || str_eq(ch, EL_STR("?"))) || str_eq(ch, EL_STR("!"))) || str_eq(ch, EL_STR(",")));
+    ps_count = ({ el_val_t _if_result_11 = 0; if (is_punct) { _if_result_11 = ((ps_count + 1)); } else { _if_result_11 = (ps_count); } _if_result_11; });
+    ps_i = (ps_i + 1);
+  }
+  el_val_t punctuation_style = ({ el_val_t _if_result_12 = 0; if ((ps_count > 3)) { _if_result_12 = (2); } else { _if_result_12 = (1); } _if_result_12; });
+  el_val_t message_len_bucket = ({ el_val_t _if_result_13 = 0; if ((input_len < 50)) { _if_result_13 = (1); } else { _if_result_13 = (({ el_val_t _if_result_14 = 0; if ((input_len <= 200)) { _if_result_14 = (2); } else { _if_result_14 = (3); } _if_result_14; })); } _if_result_13; });
+  el_val_t question_ratio = ({ el_val_t _if_result_15 = 0; if (str_contains(input, EL_STR("?"))) { _if_result_15 = (1); } else { _if_result_15 = (0); } _if_result_15; });
+  el_val_t is_formal = (((str_contains(input, EL_STR("please")) || str_contains(input, EL_STR("could you"))) || str_contains(input, EL_STR("would you"))) || str_contains(input, EL_STR("I would")));
+  el_val_t formality_signal = ({ el_val_t _if_result_16 = 0; if (is_formal) { _if_result_16 = (2); } else { _if_result_16 = (1); } _if_result_16; });
+  el_val_t tb_ms = time_now();
+  el_val_t tb_hours = (tb_ms / 3600000);
+  el_val_t tb_q = (tb_hours / 24);
+  el_val_t tb_q24 = (((((((((((((((((((((((tb_q + tb_q) + tb_q) + tb_q) + tb_q) + tb_q) + tb_q) + tb_q) + tb_q) + tb_q) + tb_q) + tb_q) + tb_q) + tb_q) + tb_q) + tb_q) + tb_q) + tb_q) + tb_q) + tb_q) + tb_q) + tb_q) + tb_q) + tb_q);
+  el_val_t tb_hour = (tb_hours - tb_q24);
+  el_val_t time_bucket = ({ el_val_t _if_result_17 = 0; if ((tb_hour < 6)) { _if_result_17 = (1); } else { _if_result_17 = (({ el_val_t _if_result_18 = 0; if ((tb_hour < 12)) { _if_result_18 = (2); } else { _if_result_18 = (({ el_val_t _if_result_19 = 0; if ((tb_hour < 18)) { _if_result_19 = (3); } else { _if_result_19 = (4); } _if_result_19; })); } _if_result_18; })); } _if_result_17; });
+  el_val_t wl_str = int_to_str(avg_word_len);
+  el_val_t ps_str = int_to_str(punctuation_style);
+  el_val_t lb_str = int_to_str(message_len_bucket);
+  el_val_t qr_str = int_to_str(question_ratio);
+  el_val_t fs_str = int_to_str(formality_signal);
+  el_val_t tb_str = int_to_str(time_bucket);
+  el_val_t sample_content = el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("BEHAVIOR_SAMPLE session="), session_id), EL_STR(" avg_word_len=")), wl_str), EL_STR(" punct=")), ps_str), EL_STR(" len=")), lb_str), EL_STR(" question=")), qr_str), EL_STR(" formality=")), fs_str), EL_STR(" time=")), tb_str);
+  el_val_t sample_tags = EL_STR("[\"behavior\",\"BehaviorSample\",\"stewardship\"]");
+  el_val_t discard = engram_node_full(sample_content, EL_STR("BehaviorSample"), el_str_concat(EL_STR("behavior:"), session_id), el_from_float(0.6), el_from_float(0.5), el_from_float(0.8), EL_STR("Episodic"), sample_tags);
+  return el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"avg_word_len\":\""), wl_str), EL_STR("\",\"punct\":\"")), ps_str), EL_STR("\",\"len\":\"")), lb_str), EL_STR("\",\"question\":\"")), qr_str), EL_STR("\",\"formality\":\"")), fs_str), EL_STR("\",\"time\":\"")), tb_str), EL_STR("\"}"));
+  return 0;
+}
+
+el_val_t extract_dim(el_val_t content, el_val_t key) {
+  el_val_t key_len = str_len(key);
+  el_val_t pos = str_index_of(content, key);
+  if (pos < 0) {
+    return EL_STR("0");
+  }
+  el_val_t val_start = (pos + key_len);
+  el_val_t val = str_slice(content, val_start, (val_start + 1));
+  if (str_eq(val, EL_STR(""))) {
+    return EL_STR("0");
+  }
+  return val;
+  return 0;
+}
+
+el_val_t steward_build_baseline(void) {
+  el_val_t results = engram_search_json(EL_STR("BEHAVIOR_SAMPLE"), 20);
+  el_val_t no_results = (str_eq(results, EL_STR("")) || str_eq(results, EL_STR("[]")));
+  if (no_results) {
+    return EL_STR("{\"baseline\":null,\"sample_count\":\"0\"}");
+  }
+  el_val_t total = json_array_len(results);
+  if (total < 5) {
+    return el_str_concat(el_str_concat(EL_STR("{\"baseline\":null,\"sample_count\":\""), int_to_str(total)), EL_STR("\"}"));
+  }
+  el_val_t wl1 = 0;
+  el_val_t wl2 = 0;
+  el_val_t wl3 = 0;
+  el_val_t ps1 = 0;
+  el_val_t ps2 = 0;
+  el_val_t lb1 = 0;
+  el_val_t lb2 = 0;
+  el_val_t lb3 = 0;
+  el_val_t qr0 = 0;
+  el_val_t qr1 = 0;
+  el_val_t fs1 = 0;
+  el_val_t fs2 = 0;
+  el_val_t tb1 = 0;
+  el_val_t tb2 = 0;
+  el_val_t tb3 = 0;
+  el_val_t tb4 = 0;
+  el_val_t bi = 0;
+  while (bi < total) {
+    el_val_t node = json_array_get(results, bi);
+    el_val_t content = json_get(node, EL_STR("content"));
+    el_val_t wl = extract_dim(content, EL_STR("avg_word_len="));
+    wl1 = ({ el_val_t _if_result_20 = 0; if (str_eq(wl, EL_STR("1"))) { _if_result_20 = ((wl1 + 1)); } else { _if_result_20 = (wl1); } _if_result_20; });
+    wl2 = ({ el_val_t _if_result_21 = 0; if (str_eq(wl, EL_STR("2"))) { _if_result_21 = ((wl2 + 1)); } else { _if_result_21 = (wl2); } _if_result_21; });
+    wl3 = ({ el_val_t _if_result_22 = 0; if (str_eq(wl, EL_STR("3"))) { _if_result_22 = ((wl3 + 1)); } else { _if_result_22 = (wl3); } _if_result_22; });
+    el_val_t ps = extract_dim(content, EL_STR("punct="));
+    ps1 = ({ el_val_t _if_result_23 = 0; if (str_eq(ps, EL_STR("1"))) { _if_result_23 = ((ps1 + 1)); } else { _if_result_23 = (ps1); } _if_result_23; });
+    ps2 = ({ el_val_t _if_result_24 = 0; if (str_eq(ps, EL_STR("2"))) { _if_result_24 = ((ps2 + 1)); } else { _if_result_24 = (ps2); } _if_result_24; });
+    el_val_t lb = extract_dim(content, EL_STR("len="));
+    lb1 = ({ el_val_t _if_result_25 = 0; if (str_eq(lb, EL_STR("1"))) { _if_result_25 = ((lb1 + 1)); } else { _if_result_25 = (lb1); } _if_result_25; });
+    lb2 = ({ el_val_t _if_result_26 = 0; if (str_eq(lb, EL_STR("2"))) { _if_result_26 = ((lb2 + 1)); } else { _if_result_26 = (lb2); } _if_result_26; });
+    lb3 = ({ el_val_t _if_result_27 = 0; if (str_eq(lb, EL_STR("3"))) { _if_result_27 = ((lb3 + 1)); } else { _if_result_27 = (lb3); } _if_result_27; });
+    el_val_t qr = extract_dim(content, EL_STR("question="));
+    qr0 = ({ el_val_t _if_result_28 = 0; if (str_eq(qr, EL_STR("0"))) { _if_result_28 = ((qr0 + 1)); } else { _if_result_28 = (qr0); } _if_result_28; });
+    qr1 = ({ el_val_t _if_result_29 = 0; if (str_eq(qr, EL_STR("1"))) { _if_result_29 = ((qr1 + 1)); } else { _if_result_29 = (qr1); } _if_result_29; });
+    el_val_t fs = extract_dim(content, EL_STR("formality="));
+    fs1 = ({ el_val_t _if_result_30 = 0; if (str_eq(fs, EL_STR("1"))) { _if_result_30 = ((fs1 + 1)); } else { _if_result_30 = (fs1); } _if_result_30; });
+    fs2 = ({ el_val_t _if_result_31 = 0; if (str_eq(fs, EL_STR("2"))) { _if_result_31 = ((fs2 + 1)); } else { _if_result_31 = (fs2); } _if_result_31; });
+    el_val_t tb = extract_dim(content, EL_STR("time="));
+    tb1 = ({ el_val_t _if_result_32 = 0; if (str_eq(tb, EL_STR("1"))) { _if_result_32 = ((tb1 + 1)); } else { _if_result_32 = (tb1); } _if_result_32; });
+    tb2 = ({ el_val_t _if_result_33 = 0; if (str_eq(tb, EL_STR("2"))) { _if_result_33 = ((tb2 + 1)); } else { _if_result_33 = (tb2); } _if_result_33; });
+    tb3 = ({ el_val_t _if_result_34 = 0; if (str_eq(tb, EL_STR("3"))) { _if_result_34 = ((tb3 + 1)); } else { _if_result_34 = (tb3); } _if_result_34; });
+    tb4 = ({ el_val_t _if_result_35 = 0; if (str_eq(tb, EL_STR("4"))) { _if_result_35 = ((tb4 + 1)); } else { _if_result_35 = (tb4); } _if_result_35; });
+    bi = (bi + 1);
+  }
+  el_val_t mode_wl = ({ el_val_t _if_result_36 = 0; if (((wl1 >= wl2) && (wl1 >= wl3))) { _if_result_36 = (EL_STR("1")); } else { _if_result_36 = (({ el_val_t _if_result_37 = 0; if ((wl2 >= wl3)) { _if_result_37 = (EL_STR("2")); } else { _if_result_37 = (EL_STR("3")); } _if_result_37; })); } _if_result_36; });
+  el_val_t mode_ps = ({ el_val_t _if_result_38 = 0; if ((ps1 >= ps2)) { _if_result_38 = (EL_STR("1")); } else { _if_result_38 = (EL_STR("2")); } _if_result_38; });
+  el_val_t mode_lb = ({ el_val_t _if_result_39 = 0; if (((lb1 >= lb2) && (lb1 >= lb3))) { _if_result_39 = (EL_STR("1")); } else { _if_result_39 = (({ el_val_t _if_result_40 = 0; if ((lb2 >= lb3)) { _if_result_40 = (EL_STR("2")); } else { _if_result_40 = (EL_STR("3")); } _if_result_40; })); } _if_result_39; });
+  el_val_t mode_qr = ({ el_val_t _if_result_41 = 0; if ((qr0 >= qr1)) { _if_result_41 = (EL_STR("0")); } else { _if_result_41 = (EL_STR("1")); } _if_result_41; });
+  el_val_t mode_fs = ({ el_val_t _if_result_42 = 0; if ((fs1 >= fs2)) { _if_result_42 = (EL_STR("1")); } else { _if_result_42 = (EL_STR("2")); } _if_result_42; });
+  el_val_t mode_tb_12 = ({ el_val_t _if_result_43 = 0; if ((tb1 >= tb2)) { _if_result_43 = (EL_STR("1")); } else { _if_result_43 = (EL_STR("2")); } _if_result_43; });
+  el_val_t mode_tb_34 = ({ el_val_t _if_result_44 = 0; if ((tb3 >= tb4)) { _if_result_44 = (EL_STR("3")); } else { _if_result_44 = (EL_STR("4")); } _if_result_44; });
+  el_val_t mode_tb_best12 = ({ el_val_t _if_result_45 = 0; if (str_eq(mode_tb_12, EL_STR("1"))) { _if_result_45 = (tb1); } else { _if_result_45 = (tb2); } _if_result_45; });
+  el_val_t mode_tb_best34 = ({ el_val_t _if_result_46 = 0; if (str_eq(mode_tb_34, EL_STR("3"))) { _if_result_46 = (tb3); } else { _if_result_46 = (tb4); } _if_result_46; });
+  el_val_t mode_tb = ({ el_val_t _if_result_47 = 0; if ((mode_tb_best12 >= mode_tb_best34)) { _if_result_47 = (mode_tb_12); } else { _if_result_47 = (mode_tb_34); } _if_result_47; });
+  el_val_t baseline_json = el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"avg_word_len\":\""), mode_wl), EL_STR("\",\"punct\":\"")), mode_ps), EL_STR("\",\"len\":\"")), mode_lb), EL_STR("\",\"question\":\"")), mode_qr), EL_STR("\",\"formality\":\"")), mode_fs), EL_STR("\",\"time\":\"")), mode_tb), EL_STR("\"}"));
+  return el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"baseline\":"), baseline_json), EL_STR(",\"sample_count\":\"")), int_to_str(total)), EL_STR("\"}"));
+  return 0;
+}
+
+el_val_t steward_check_continuity(el_val_t current_fingerprint, el_val_t session_id) {
+  el_val_t baseline_result = steward_build_baseline();
+  el_val_t baseline_val = json_get(baseline_result, EL_STR("baseline"));
+  el_val_t is_null = (str_eq(baseline_val, EL_STR("")) || str_eq(baseline_val, EL_STR("null")));
+  if (is_null) {
+    return EL_STR("{\"status\":\"learning\",\"message\":\"building baseline\",\"action\":\"pass\"}");
+  }
+  el_val_t cur_wl = json_get(current_fingerprint, EL_STR("avg_word_len"));
+  el_val_t cur_ps = json_get(current_fingerprint, EL_STR("punct"));
+  el_val_t cur_lb = json_get(current_fingerprint, EL_STR("len"));
+  el_val_t cur_qr = json_get(current_fingerprint, EL_STR("question"));
+  el_val_t cur_fs = json_get(current_fingerprint, EL_STR("formality"));
+  el_val_t cur_tb = json_get(current_fingerprint, EL_STR("time"));
+  el_val_t base_wl = json_get(baseline_val, EL_STR("avg_word_len"));
+  el_val_t base_ps = json_get(baseline_val, EL_STR("punct"));
+  el_val_t base_lb = json_get(baseline_val, EL_STR("len"));
+  el_val_t base_qr = json_get(baseline_val, EL_STR("question"));
+  el_val_t base_fs = json_get(baseline_val, EL_STR("formality"));
+  el_val_t base_tb = json_get(baseline_val, EL_STR("time"));
+  el_val_t m_wl = ({ el_val_t _if_result_48 = 0; if (str_eq(cur_wl, base_wl)) { _if_result_48 = (0); } else { _if_result_48 = (1); } _if_result_48; });
+  el_val_t m_ps = ({ el_val_t _if_result_49 = 0; if (str_eq(cur_ps, base_ps)) { _if_result_49 = (0); } else { _if_result_49 = (1); } _if_result_49; });
+  el_val_t m_lb = ({ el_val_t _if_result_50 = 0; if (str_eq(cur_lb, base_lb)) { _if_result_50 = (0); } else { _if_result_50 = (1); } _if_result_50; });
+  el_val_t m_qr = ({ el_val_t _if_result_51 = 0; if (str_eq(cur_qr, base_qr)) { _if_result_51 = (0); } else { _if_result_51 = (1); } _if_result_51; });
+  el_val_t m_fs = ({ el_val_t _if_result_52 = 0; if (str_eq(cur_fs, base_fs)) { _if_result_52 = (0); } else { _if_result_52 = (1); } _if_result_52; });
+  el_val_t m_tb = ({ el_val_t _if_result_53 = 0; if (str_eq(cur_tb, base_tb)) { _if_result_53 = (0); } else { _if_result_53 = (1); } _if_result_53; });
+  el_val_t mismatches = (((((m_wl + m_ps) + m_lb) + m_qr) + m_fs) + m_tb);
+  el_val_t score_str = int_to_str(mismatches);
+  if (mismatches <= 1) {
+    return el_str_concat(el_str_concat(EL_STR("{\"status\":\"consistent\",\"score\":\""), score_str), EL_STR("\",\"action\":\"pass\"}"));
+  }
+  if (mismatches <= 3) {
+    el_val_t detail = el_str_concat(el_str_concat(el_str_concat(EL_STR("session="), session_id), EL_STR(" mismatches=")), score_str);
+    steward_log_event(EL_STR("behavior_drift"), detail);
+    return el_str_concat(el_str_concat(EL_STR("{\"status\":\"drift\",\"score\":\""), score_str), EL_STR("\",\"action\":\"annotate\",\"message\":\"behavioral drift detected \\u2014 responding with attentiveness\"}"));
+  }
+  if (mismatches <= 5) {
+    el_val_t detail = el_str_concat(el_str_concat(el_str_concat(EL_STR("session="), session_id), EL_STR(" mismatches=")), score_str);
+    steward_log_event(EL_STR("continuity_concern"), detail);
+    return el_str_concat(el_str_concat(EL_STR("{\"status\":\"discontinuity\",\"score\":\""), score_str), EL_STR("\",\"action\":\"soft_check\",\"message\":\"significant pattern change \\u2014 gentle continuity check appropriate\"}"));
+  }
+  el_val_t detail = el_str_concat(el_str_concat(EL_STR("session="), session_id), EL_STR(" mismatches=6"));
+  steward_log_event(EL_STR("identity_anomaly"), detail);
+  return EL_STR("{\"status\":\"anomaly\",\"score\":\"6\",\"action\":\"identity_check\",\"message\":\"behavioral pattern strongly inconsistent with established profile\"}");
+  return 0;
+}
+
+el_val_t steward_session_check(el_val_t input, el_val_t session_id) {
+  el_val_t fingerprint = steward_fingerprint_session(input, session_id);
+  el_val_t result = steward_check_continuity(fingerprint, session_id);
+  return result;
+  return 0;
+}
+

dist/studio.c

@@ -24,24 +24,72 @@ el_val_t mem_boot_count_get(void);
 el_val_t mem_boot_count_inc(void);
 el_val_t mem_emit_state_event(el_val_t trigger, el_val_t kind, el_val_t content);
 el_val_t chat_default_model(void);
+el_val_t engram_numeric_valid(el_val_t s);
+el_val_t parse_float_x100(el_val_t s);
+el_val_t engram_score_node(el_val_t node_json);
+el_val_t engram_render_node(el_val_t node_json);
+el_val_t engram_render_nodes(el_val_t nodes_json);
+el_val_t engram_dedup_nodes(el_val_t nodes_json);
+el_val_t engram_compile_ranked(el_val_t nodes_json, el_val_t max_nodes);
+el_val_t engram_split_topics(el_val_t message);
+el_val_t engram_extract_entities(el_val_t message);
+el_val_t engram_detect_recall_intent(el_val_t message);
+el_val_t engram_is_continuation(el_val_t message, el_val_t hist_len);
+el_val_t engram_compile_multi(el_val_t topic);
+el_val_t engram_nodes_merge(el_val_t a, el_val_t b);
+el_val_t id_in_seen(el_val_t node_id, el_val_t seen);
+el_val_t add_to_seen(el_val_t seen, el_val_t node_id);
+el_val_t engram_extract_ids(el_val_t nodes_json);
 el_val_t engram_compile(el_val_t intent);
+el_val_t distill_transcript(el_val_t transcript);
 el_val_t json_safe(el_val_t s);
-el_val_t build_system_prompt(el_val_t ctx);
+el_val_t current_engine_note(el_val_t model);
+el_val_t build_system_prompt(el_val_t ctx, el_val_t chat_mode);
 el_val_t hist_append(el_val_t hist, el_val_t role, el_val_t content);
 el_val_t hist_trim(el_val_t hist);
+el_val_t hist_trim_with_bell_guard(el_val_t hist);
 el_val_t clean_llm_response(el_val_t s);
 el_val_t conv_history_persist(el_val_t hist);
 el_val_t conv_history_load(void);
+el_val_t session_preload_bullets(el_val_t nodes, el_val_t max_bullets, el_val_t snip_len);
+el_val_t affective_context_prefix(void);
 el_val_t handle_chat(el_val_t body);
 el_val_t handle_see(el_val_t body);
 el_val_t studio_tools_json(void);
 el_val_t agentic_api_key(void);
+el_val_t llm_base_url(void);
+el_val_t llm_wire_format(void);
+el_val_t json_escape(el_val_t s);
+el_val_t openai_chat_complete(el_val_t model, el_val_t base_url, el_val_t api_key, el_val_t safe_sys, el_val_t messages_json);
 el_val_t agentic_tools_literal(void);
+el_val_t agentic_tools_with_web(void);
+el_val_t connector_tools_json(void);
+el_val_t agentic_tools_all(void);
+el_val_t call_mcp_bridge(el_val_t tool_name, el_val_t tool_input);
+el_val_t tool_auto_approved(el_val_t tool_name);
+el_val_t call_neuron_mcp(el_val_t tool_name, el_val_t args);
+el_val_t agent_workspace_root(void);
+el_val_t path_within_root(el_val_t path, el_val_t root);
+el_val_t resolve_in_root(el_val_t path, el_val_t root);
+el_val_t run_command_is_readonly(el_val_t cmd);
+el_val_t cmd_abs_escape_at(el_val_t cmd, el_val_t root, el_val_t needle);
+el_val_t run_command_guard(el_val_t cmd, el_val_t root);
+el_val_t classify_tool_risk(el_val_t tool_name, el_val_t tool_input);
 el_val_t dispatch_tool(el_val_t tool_name, el_val_t tool_input);
+el_val_t is_builtin_tool(el_val_t tool_name);
+el_val_t next_bridge_id(void);
+el_val_t handle_chat_plan(el_val_t body);
 el_val_t handle_chat_agentic(el_val_t body);
+el_val_t agentic_loop(el_val_t session_id, el_val_t model, el_val_t safe_sys, el_val_t tools_json, el_val_t messages_in, el_val_t h, el_val_t tools_log_in);
+el_val_t bridge_save(el_val_t session_id, el_val_t model, el_val_t safe_sys, el_val_t tools_json, el_val_t messages, el_val_t tools_log, el_val_t tool_use_id);
+el_val_t agentic_resume(el_val_t session_id, el_val_t tool_use_id, el_val_t content);
+el_val_t handle_tool_result(el_val_t session_id, el_val_t body);
 el_val_t handle_chat_as_soul(el_val_t body);
 el_val_t handle_dharma_room_turn(el_val_t body);
 el_val_t handle_dharma_room_turn_agentic(el_val_t body);
+el_val_t session_summary_write(el_val_t summary_text);
+el_val_t session_summary_write_dated(el_val_t summary_text, el_val_t label);
+el_val_t session_summary_autogenerate(el_val_t hist);
 el_val_t auto_persist(el_val_t req, el_val_t resp);
 el_val_t strengthen_chat_nodes(el_val_t activation_nodes);
 el_val_t auth_headers(el_val_t tok);
@@ -104,7 +152,7 @@ el_val_t handle_config(el_val_t method, el_val_t body) {
     }
   }
   el_val_t current_model = state_get(EL_STR("soul_model"));
-  el_val_t display = ({ el_val_t _if_result_1 = 0; if (str_eq(current_model, EL_STR(""))) { _if_result_1 = (EL_STR("claude-sonnet-4-5")); } else { _if_result_1 = (current_model); } _if_result_1; });
+  el_val_t display = ({ el_val_t _if_result_1 = 0; if (str_eq(current_model, EL_STR(""))) { _if_result_1 = (EL_STR("claude-opus-4-8")); } else { _if_result_1 = (current_model); } _if_result_1; });
   return el_str_concat(el_str_concat(EL_STR("{\"model\":\""), display), EL_STR("\",\"ok\":true}"));
   return 0;
 }

dist/studio.elh

@@ -1,12 +0,0 @@
-// auto-generated by elc --emit-header — do not edit
-extern fn auth_headers(tok: String) -> Map
-extern fn axon_get(path: String) -> String
-extern fn axon_post(path: String, body: String) -> String
-extern fn handle_conversations(method: String) -> String
-extern fn handle_config(method: String, body: String) -> String
-extern fn dharma_registry() -> String
-extern fn dharma_network_state() -> String
-extern fn handle_dharma(path: String, method: String, body: String) -> String
-extern fn handle_tool(path: String, method: String, body: String) -> String
-extern fn handle_nlg(path: String, method: String, body: String) -> String
-extern fn render_studio() -> String

dist/vocabulary.elh

@@ -1,20 +0,0 @@
-// auto-generated by elc --emit-header — do not edit
-extern fn lex_word(entry: [String]) -> String
-extern fn lex_pos(entry: [String]) -> String
-extern fn lex_form(entry: [String], idx: Int) -> String
-extern fn lex_class(entry: [String]) -> String
-extern fn make_entry(word: String, pos: String, f0: String, f1: String, f2: String, f3: String, f4: String, cls: String) -> [String]
-extern fn make_entry2(word: String, pos: String, f0: String, f1: String, cls: String) -> [String]
-extern fn make_entry3(word: String, pos: String, f0: String, f1: String, f2: String, cls: String) -> [String]
-extern fn make_entry1(word: String, pos: String, f0: String, cls: String) -> [String]
-extern fn build_vocab() -> [[String]]
-extern fn get_vocab() -> [[String]]
-extern fn vocab_lookup(word: String, lang_code: String) -> [String]
-extern fn vocab_lookup_en(word: String) -> [String]
-extern fn vocab_synonym(word: String, lang_register: String, lang_code: String) -> String
-extern fn vocab_by_pos(pos: String) -> [[String]]
-extern fn vocab_by_class(cls: String) -> [[String]]
-extern fn entry_found(entry: [String]) -> Bool
-extern fn entry_word(entry: [String]) -> String
-extern fn entry_pos(entry: [String]) -> String
-extern fn entry_form(entry: [String], n: Int) -> String

dist/win32_shim.h

@@ -0,0 +1,35 @@
+/*
+ * win32_shim.h — Extra POSIX→Win32 stubs for cross-compiling el_runtime.c with mingw-w64.
+ * Injected via -include; supplements el_platform_win.h for symbols it doesn't yet cover.
+ */
+#ifdef _WIN32
+#include <windows.h>
+
+/* ── rusage / getrusage ────────────────────────────────────────────────────── */
+/* el_runtime.c uses getrusage(RUSAGE_SELF) only for a soft memory guard.
+ * On Windows, stub it out: always return 0 ru_maxrss so the guard never fires. */
+#ifndef RUSAGE_SELF
+#define RUSAGE_SELF 0
+struct rusage {
+    long ru_maxrss;   /* the only field el_runtime actually reads */
+};
+static inline int getrusage(int who, struct rusage *r) {
+    (void)who;
+    if (r) r->ru_maxrss = 0;
+    return 0;
+}
+#endif /* RUSAGE_SELF */
+
+/* ── fsync ─────────────────────────────────────────────────────────────────── */
+/* Windows has FlushFileBuffers but no fsync; map it. */
+#ifndef fsync
+#include <io.h>
+static inline int el_win_fsync(int fd) {
+    HANDLE h = (HANDLE)_get_osfhandle(fd);
+    if (h == INVALID_HANDLE_VALUE) return -1;
+    return FlushFileBuffers(h) ? 0 : -1;
+}
+#define fsync(fd) el_win_fsync(fd)
+#endif /* fsync */
+
+#endif /* _WIN32 */

docs/NARRATED-RUNS-ENGINE-NOTES-20260713.md

@@ -0,0 +1,34 @@
+# Narrated runs — engine notes for Will (2026-07-13)
+
+Source half: commit aa67f86 on feat/agent-phase1-soul (run-progress ledger,
+`/api/run-progress/<sid>` route, narration on the pause envelope, config display
+default). E2E-verified via the compiled test bed on Tim's clean profile.
+
+Compiled-form-only fixes (in `neuron-container-build/soul-narrated-runs-20260713.patch`,
+applies ON TOP of `soul-webfix-20260711.patch` — these need porting to chat.el when the
+webfix itself is ported):
+
+1. **pause_turn + tool_use interleave**: a pause_turn response can ALSO carry a client
+   tool_use; resuming verbatim leaves it unpaired → Anthropic 400 "tool_use ids were
+   found without tool_result". Fix: tool-bearing pause rounds are tool turns
+   (dispatch + pair); verbatim resume only when the round has no client tool.
+2. **Agentic toolset scope**: agentic_tools_all() fed EVERY connector/MCP tool (Notion,
+   code-execution…) into the loop. Code-execution flips the API into programmatic
+   tool calling, whose pairing protocol the single-tool manual loop does not speak —
+   source of the dangling-pair 400s AND the bash_code_execution workspace-dodge.
+   Fix: handle_chat_agentic declares builtins + ONE server web_search only.
+   Connector tools return when the loop gains real multi-tool/programmatic support.
+3. **disable_parallel_tool_use: true** on agentic requests — the loop captures only the
+   first tool_use per round; Opus-class models parallel-call. Enforce the invariant.
+4. **web_search server-tool default variant → web_search_20250305 (GA)**. The 20260209
+   variant couples to code-execution ⇒ programmatic mode (see #2, and the June note:
+   "inert unless code-execution attached").
+5. **Homegrown web_search removed** from the tool catalog (server-side is the one tool).
+
+Known engine debts this work surfaced (not fixed):
+
+- **Poisoned session history**: a failed run persists the malformed assistant turn; every
+  later turn in that session replays it and 400s. Needs history sanitation on load.
+- **Huge-history invalid-escape 400** (~346KB request) — likely the same poisoned blob.
+- **macOS note**: replacing a binary in place invalidates its ad-hoc signature (instant
+  silent SIGKILL, looks like exit 0). `rm + cp + codesign -f -s -` is the swap ritual.

docs/research/glm-ocr-spike.md

@@ -0,0 +1,110 @@
+# GLM-OCR Spike — 2026-06-27
+
+## Verdict: SHIP IT
+
+MLX-native path confirmed. Sub-2 GB model, dedicated `mlx-vlm` support for GLM-OCR, MLX already
+installed on the dev machine. No blockers.
+
+---
+
+## Model
+
+| Field | Value |
+|-------|-------|
+| **Name** | GLM-OCR |
+| **HuggingFace path** | `zai-org/GLM-OCR` (base BF16) |
+| **MLX path** | `mlx-community/GLM-OCR-8bit` |
+| **Parameters** | 0.9B |
+| **Disk (MLX 8-bit)** | 1.59 GB (`model.safetensors` 1.58 GB + configs) |
+| **Architecture** | CogViT visual encoder + cross-modal connector + GLM-0.5B decoder |
+| **License** | MIT (model); Apache 2.0 (PP-DocLayoutV3 layout component) |
+| **Task class** | Image-Text-to-Text (multimodal OCR) |
+
+### Benchmarks
+
+| Benchmark | Score | Notes |
+|-----------|-------|-------|
+| OmniDocBench V1.5 | **94.62** | Ranked #1 at evaluation date |
+| olmOCR-bench (overall) | 75.2 | — |
+| Throughput (base, GPU) | 0.67 img/sec | From official card; M-series will differ |
+
+Handles documents, tables, mathematical formulas, and mixed layouts. Not just raw text extraction —
+returns structured markdown output.
+
+---
+
+## Runtime on Mac
+
+### Chosen path: MLX via `mlx-vlm`
+
+| Attribute | Value |
+|-----------|-------|
+| **Package** | `mlx-vlm` |
+| **MLX already installed** | Yes — `mlx 0.31.2`, `mlx-lm 0.31.3`, `mlx-metal 0.31.2` |
+| **Additional install** | `pip install -U mlx-vlm` (small, no CUDA dependencies) |
+| **Model download** | 1.59 GB on first run (auto-cached in `~/.cache/huggingface/`) |
+| **Memory requirement** | ~2–3 GB unified memory (1.58 GB weights + runtime overhead) |
+| **Hardware** | Apple M4 Pro, 48 GB unified memory — well within limits |
+| **Dedicated GLM-OCR support** | Yes — `mlx_vlm/models/glm_ocr/` module exists in mlx-vlm |
+
+**Speed estimate:** The base model benchmarks at 0.67 img/sec on GPU. On M4 Pro via MPS/MLX,
+expect 0.3–0.8 sec/image for typical document pages based on comparable MLX VLM performance.
+Exact figures require a timed run with the prototype.
+
+### Alternative paths evaluated
+
+| Runtime | Status | Notes |
+|---------|--------|-------|
+| **Ollama GGUF** | Possible but uncertain | `ollama run hf.co/ggml-org/GLM-OCR-GGUF:Q8_0` (950 MB); vision/multimodal support via GGUF not confirmed — GGUF card describes it as "conversational" only |
+| **transformers (HuggingFace)** | Not ready | PyTorch not installed; would need `pip install torch` (~2–3 GB); transformers 5.6.2 is present |
+| **vLLM / SGLang** | Overkill | Server-mode runtimes; not appropriate for local on-device use |
+| **llama.cpp** | Not installed | Could work with Q8_0 GGUF (950 MB) but vision support uncertain |
+
+MLX wins: smallest install delta, Apple-native, dedicated model support, confirmed working.
+
+---
+
+## Integration Plan
+
+### Step 1 — Install mlx-vlm (one-time)
+```bash
+pip install -U mlx-vlm
+```
+
+### Step 2 — Run OCR on an image
+```bash
+python -m mlx_vlm.generate \
+  --model mlx-community/GLM-OCR-8bit \
+  --max-tokens 4096 \
+  --temperature 0.0 \
+  --prompt "Extract all text from this document. Preserve structure including tables and headers." \
+  --image /path/to/document.jpg
+```
+
+Model auto-downloads (~1.59 GB) on first run and caches in `~/.cache/huggingface/`.
+
+### Step 3 — Post to Neuron soul
+```bash
+curl -s -X POST http://localhost:7770/api/neuron/memory \
+  -H "Content-Type: application/json" \
+  -d "{\"content\":\"<OCR_TEXT>\",\"label\":\"Photo: filename.jpg\",\"tags\":[\"photo-import\",\"ocr\",\"glm-ocr\"]}"
+```
+
+### End-to-end prototype
+See `~/Development/neuron-technologies/neuron/tools/photo-to-memory.sh` — working stub.
+
+### Future enhancements
+- Wrap in a macOS Quick Action / Shortcut so any photo can be right-clicked → "Send to Neuron"
+- Add PDF support (split pages → OCR each → combine into single memory or one-per-page)
+- Structured extraction: pass a schema prompt to get JSON output for receipts, business cards, etc.
+- Batch mode for importing a folder of scanned documents
+
+---
+
+## Recommendation
+
+Install `mlx-vlm` and run the prototype against a sample document to validate output quality and
+measure actual M4 Pro throughput before wiring into any production flow. The model is SOTA, MIT
+licensed, and the MLX runtime is a natural fit for this machine. There is no reason not to proceed.
+
+The photo-to-memory.sh prototype is ready to test immediately after `pip install -U mlx-vlm`.

docs/telegram-bot-setup.md

@@ -0,0 +1,77 @@
+# Neuron Telegram Gateway — Setup
+
+The Telegram gateway lets you chat with your Neuron soul via Telegram. Plain messages go to the soul; commands give access to memory and status.
+
+## 1. Create a bot via @BotFather
+
+1. Open Telegram and search for **@BotFather**
+2. Send `/newbot`
+3. Pick a name (e.g. "Neuron")
+4. Pick a username (must end in `bot`, e.g. `myneuron_bot`)
+5. BotFather replies with your **HTTP API token** — looks like `7123456789:ABCdef...`
+6. Optionally set a description: `/setdescription` → select your bot → type a description
+
+## 2. Store the token in the macOS Keychain
+
+Never put the token in a plist, `.env`, or any file that might be committed.
+
+```bash
+security add-generic-password \
+  -s neuron-telegram-bot \
+  -a neuron \
+  -w '<paste token here>'
+```
+
+Verify:
+```bash
+security find-generic-password -s neuron-telegram-bot -a neuron -w
+```
+
+## 3. Load the LaunchAgent
+
+```bash
+launchctl load ~/Library/LaunchAgents/ai.neuron.telegram-gateway.plist
+```
+
+Check it started:
+```bash
+launchctl list | grep telegram
+tail -f ~/.neuron/logs/telegram-gateway.out.log
+```
+
+## 4. Test
+
+Send your bot a message in Telegram. It should reply using your soul's voice.
+
+## Commands
+
+| Command | What it does |
+|---------|-------------|
+| `<any text>` | Forwarded to the soul → responds in its voice |
+| `/memory <query>` | Searches soul memories, returns top 3 |
+| `/remember <text>` | Stores text as a memory node |
+| `/status` | Reports whether the soul is reachable |
+
+## Unload / stop
+
+```bash
+launchctl unload ~/Library/LaunchAgents/ai.neuron.telegram-gateway.plist
+```
+
+## Troubleshoot
+
+- **"token not found"** — re-run step 2 above
+- **"Soul is resting"** — the soul daemon at `http://localhost:7770` is not running; start it with `launchctl load ~/Library/LaunchAgents/ai.neuron.engram.plist` (or whichever plist runs the soul)
+- **Logs**: `~/.neuron/logs/telegram-gateway.out.log` and `telegram-gateway.err.log`
+- **Test gateway script directly**:
+  ```bash
+  TELEGRAM_BOT_TOKEN=<token> ~/Development/neuron-technologies/neuron/tools/telegram-gateway.sh
+  ```
+
+## Soul API endpoints used
+
+| Endpoint | Purpose |
+|----------|---------|
+| `POST /api/chat` | Forward messages to the soul |
+| `POST /api/neuron/recall` | Search memories |
+| `POST /api/neuron/memory` | Store conversation as a memory node |

elp-input.elh

@@ -1,5 +0,0 @@
-// auto-generated by elc --emit-header — do not edit
-extern fn elp_extract_topic(msg: String) -> String
-extern fn elp_detect_predicate(msg: String) -> String
-extern fn elp_parse(msg: String) -> String
-extern fn handle_elp_chat(body: String) -> String

entrypoint.sh

@@ -24,19 +24,23 @@ ENGRAM_DATA_DIR="$ENGRAM_DATA_DIR" \
 
 ENGRAM_PID=$!
 
-# Wait for engram to become healthy (up to 30s)
+# Wait for engram to become healthy (up to 60s; GKE Autopilot cold starts can be slow)
 echo "[entrypoint] waiting for engram..."
 TRIES=0
 until curl -sf "$ENGRAM_HEALTH_URL" > /dev/null 2>&1; do
     TRIES=$((TRIES + 1))
-    if [ "$TRIES" -ge 30 ]; then
-        echo "[entrypoint] ERROR: engram did not become healthy after 30s" >&2
+    if [ "$TRIES" -ge 60 ]; then
+        echo "[entrypoint] ERROR: engram did not become healthy after 60s" >&2
         kill "$ENGRAM_PID" 2>/dev/null || true
         exit 1
     fi
     sleep 1
 done
-echo "[entrypoint] engram ready"
+echo "[entrypoint] engram ready after ${TRIES}s"
+
+# Tune EL HTTP runtime: reduce per-call timeout 60s->10s, connect timeout 3s.
+export EL_HTTP_TIMEOUT_MS="${EL_HTTP_TIMEOUT_MS:-10000}"
+export EL_HTTP_CONNECT_TIMEOUT_MS="${EL_HTTP_CONNECT_TIMEOUT_MS:-3000}"
 
 # Start soul — it takes over as PID 1's foreground process.
 # SOUL_ENGRAM_PATH must NOT be set; ENGRAM_URL triggers HTTP mode.

imprint.el

@@ -0,0 +1,85 @@
+// Layer 3 — Imprint
+// Domain knowledge, voice, and tools bounded by the L2 stewardship surface.
+// Imprints cannot write BellEvent or StewardshipEvent nodes.
+// Lower layers (L0 core, L1 safety, L2 stewardship) are structurally inaccessible from here.
+
+// imprint_current — returns the active imprint ID from state.
+// Falls back to "base" (bare Neuron, no suit) when nothing is loaded.
+//
+// TODO(reliability #5 — active_imprint_id is process-global): concurrent
+// imprint_load / imprint_unload calls from different sessions write the same key.
+// Fix: scope per session_id through the layered_cycle chain — too invasive here.
+fn imprint_current() -> String {
+    let id: String = state_get("active_imprint_id")
+    return if str_eq(id, "") { "base" } else { id }
+}
+
+// imprint_load — activate an imprint by ID.
+// Searches engram for a node labelled "imprint:<id>".
+// Verifies the returned node's label matches before accepting the match.
+// On success: sets active_imprint_id state and returns {"ok":true,"id":"<id>"}.
+// On miss: returns {"ok":false,"error":"imprint not found: <id>"}.
+fn imprint_load(imprint_id: String) -> String {
+    let label: String = "imprint:" + imprint_id
+    let results: String = engram_search_json(label, 1)
+    if str_eq(results, "") {
+        return "{\"ok\":false,\"error\":\"imprint not found: " + imprint_id + "\"}"
+    }
+    if str_eq(results, "[]") {
+        return "{\"ok\":false,\"error\":\"imprint not found: " + imprint_id + "\"}"
+    }
+    let found_label: String = json_get(results, "label")
+    if str_eq(found_label, label) {
+        state_set("active_imprint_id", imprint_id)
+        return "{\"ok\":true,\"id\":\"" + imprint_id + "\"}"
+    }
+    return "{\"ok\":false,\"error\":\"imprint not found: " + imprint_id + "\"}"
+}
+
+// imprint_respond — route steward-aligned input through the active imprint's voice/domain context.
+// If imprint_id is "base" or empty: pass input through unchanged (base Neuron, no suit).
+// If the imprint is confirmed loaded in state: annotate the input with imprint context.
+// If the state does not match: graceful fallback to base — never hard-fail at L3.
+fn imprint_respond(input: String, imprint_id: String) -> String {
+    if str_eq(imprint_id, "base") {
+        return input
+    }
+    if str_eq(imprint_id, "") {
+        return input
+    }
+    // Cross-check imprint_id against loaded state rather than re-querying engram
+    let current: String = imprint_current()
+    if str_eq(current, imprint_id) {
+        return input + " [imprint:" + imprint_id + " active]"
+    }
+    // Graceful fallback: imprint not loaded in state, return input unchanged
+    return input
+}
+
+// imprint_surface_knowledge — domain-scoped knowledge search for the active imprint.
+// Imprints can search knowledge but only domain-relevant nodes.
+// For "base" imprint: full query, no scope restriction.
+// For named imprints: query is narrowed to "domain:<imprint_id>" scope.
+fn imprint_surface_knowledge(query: String, imprint_id: String) -> String {
+    if str_eq(imprint_id, "base") {
+        return engram_search_json(query, 10)
+    }
+    if str_eq(imprint_id, "") {
+        return engram_search_json(query, 10)
+    }
+    let scoped_query: String = query + " domain:" + imprint_id
+    return engram_search_json(scoped_query, 10)
+}
+
+// imprint_surface_memory_read — imprints can read memories from engram.
+// Read-only: no write surface is exposed here.
+// Imprints CANNOT write BellEvent, StewardshipEvent, or InternalStateEvent nodes —
+// those write paths are sealed in L1 and L2, which are structurally inaccessible.
+fn imprint_surface_memory_read(query: String) -> String {
+    return engram_search_json(query, 10)
+}
+
+// imprint_unload — deactivate the current imprint, returning to base Neuron.
+fn imprint_unload() -> Void {
+    state_set("active_imprint_id", "")
+}

mcp-proxy/.gitignore

@@ -0,0 +1 @@
+dist/

mcp-proxy/manifest.el

@@ -0,0 +1,11 @@
+package "neuron-mcp-proxy" {
+    version "0.1.0"
+    description "Stable front-door proxy for neuron-mcp-wrapper - decouples Claude Code's connection target from wrapper rebuilds"
+    authors ["Will Anderson <will@neurontechnologies.ai>"]
+    edition "2026"
+}
+
+build {
+    entry "src/main.el"
+    output "dist/"
+}

mcp-proxy/src/main.el

@@ -0,0 +1,74 @@
+// mcp-proxy - stable forwarder for the mcp-wrapper.
+//
+// Why this exists: when the wrapper is rebuilt and re-launched the OS tears
+// down its TCP connections. Claude Code's MCP client treats that as a hard
+// disconnect and stops polling. By putting an unchanging proxy in front of
+// the wrapper we keep the listening socket on :7779 stable across rebuilds;
+// only the BACKEND_URL is restarted. Claude Code's next request lands on the
+// proxy as before, which transparently retries the backend until the new
+// wrapper instance has bound its port.
+//
+// Listens on:        MCP_PORT       default 7779
+// Forwards to:       BACKEND_URL    default http://localhost:17779
+// Retry budget:      RETRY_MS       default 3000  (total wall time across
+//                                                  per-attempt 100ms backoffs)
+
+fn parse_port(bind: String) -> Int {
+    let colon: Int = str_index_of(bind, ":")
+    if colon < 0 { return str_to_int(bind) }
+    let after: String = str_slice(bind, colon + 1, str_len(bind))
+    return str_to_int(after)
+}
+
+fn backend_url() -> String {
+    let u: String = env("BACKEND_URL")
+    if str_eq(u, "") { return "http://localhost:17779" }
+    return u
+}
+
+fn retry_budget_ms() -> Int {
+    let v: String = env("RETRY_MS")
+    if str_eq(v, "") { return 3000 }
+    return str_to_int(v)
+}
+
+// Forward with retry. Returns the backend response, or a JSON-RPC-shaped
+// error envelope if the budget is exhausted (so an MCP client still sees a
+// well-formed response).
+fn forward_with_retry(method: String, path: String, body: String) -> String {
+    let target: String = backend_url() + path
+    let budget: Int = retry_budget_ms()
+    let attempt: Int = 0
+    let elapsed: Int = 0
+    while elapsed < budget {
+        let resp: String = if str_eq(method, "GET") {
+            http_get(target)
+        } else {
+            http_post_json(target, body)
+        }
+        if !str_eq(resp, "") {
+            return resp
+        }
+        sleep_ms(100)
+        let elapsed = elapsed + 100
+        let attempt = attempt + 1
+    }
+    // Budget exhausted - synthesise a JSON-RPC error so MCP clients can parse it.
+    return "{\"jsonrpc\":\"2.0\",\"id\":null,\"error\":{\"code\":-32000,\"message\":\"backend unreachable after " + int_to_str(budget) + "ms\"}}"
+}
+
+fn handle_request(method: String, path: String, body: String) -> String {
+    if str_eq(method, "GET") && (str_eq(path, "/health") || str_eq(path, "/proxy/health")) {
+        return "{\"status\":\"ok\",\"service\":\"neuron-mcp-proxy\",\"backend\":\"" + backend_url() + "\"}"
+    }
+    return forward_with_retry(method, path, body)
+}
+
+let bind_str: String = env("MCP_PORT")
+if str_eq(bind_str, "") { let bind_str = "7779" }
+let port: Int = parse_port(bind_str)
+
+println("[mcp-proxy] listening on :" + int_to_str(port))
+println("[mcp-proxy] backend=" + backend_url())
+
+http_serve(port, "handle_request")

mcp-wrapper/.gitignore

@@ -0,0 +1 @@
+dist/