Merge pull request 'fix(windows): guard el_mem_check with _WIN32 — rusage is POSIX-only' (#60) from fix/windows-rusage-guard into stage

fix(windows): guard el_mem_check with _WIN32 — rusage is POSIX-only

.gitea/workflows/engram-ci.yaml

@@ -1,132 +0,0 @@
-name: Engram CI
-
-on:
-  push:
-    branches:
-      - main
-      - dev
-    paths:
-      - 'engram/**'
-  workflow_dispatch:
-
-jobs:
-  build:
-    runs-on: ubuntu-latest
-
-    steps:
-      - name: Checkout
-        uses: actions/checkout@v4
-
-      - name: Install build dependencies
-        run: |
-          apt-get update -qq
-          apt-get install -y gcc 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
-        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
-
-          rm -rf /opt/el/dist /opt/el/runtime
-          mkdir -p /opt/el/dist/platform /opt/el/dist/bin /opt/el/runtime
-
-          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@${ELB_VER} runtime-c@${RC_VER} runtime-h@${RH_VER}"
-
-          gcloud artifacts generic download \
-            --repository=foundation-dev --location=us-central1 --project=neuron-785695 \
-            --package=el-elc --version="${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="${RH_VER}" \
-            --destination=/opt/el/runtime/
-
-          mv /opt/el/dist/platform/elc* /opt/el/dist/platform/elc 2>/dev/null || true
-          mv /opt/el/dist/bin/elb*       /opt/el/dist/bin/elb      2>/dev/null || true
-          mv /opt/el/runtime/el_runtime.c* /opt/el/runtime/el_runtime.c 2>/dev/null || true
-          mv /opt/el/runtime/el_runtime.h* /opt/el/runtime/el_runtime.h 2>/dev/null || true
-
-          chmod +x /opt/el/dist/platform/elc /opt/el/dist/bin/elb
-          echo "El SDK ready"
-
-      - name: Build engram binary (linux/amd64)
-        run: |
-          ELB=/opt/el/dist/bin/elb
-          ELC=/opt/el/dist/platform/elc
-          RUNTIME=/opt/el/runtime
-
-          # elb reads manifest.el from the working directory.
-          # engram/dist/engram.c is the pre-compiled C translation of src/server.el.
-          # elb compiles dist/engram.c + el_runtime.c → dist/engram binary.
-          cd engram
-          "$ELB" --elc="$ELC" --runtime="$RUNTIME"
-          ls -lh dist/engram
-          file dist/engram
-
-      - name: Smoke test
-        run: |
-          file engram/dist/engram
-          timeout 3 engram/dist/engram --help 2>&1 || true
-          echo "smoke test complete"
-
-      - name: Publish engram binary to Artifact Registry
-        if: github.event_name == 'push'
-        env:
-          GCP_SA_KEY: ${{ secrets.GCP_SA_KEY }}
-        run: |
-          VERSION="${GITHUB_SHA:0:8}"
-
-          gcloud artifacts generic upload \
-            --repository=foundation-dev \
-            --location=us-central1 \
-            --project=neuron-785695 \
-            --package=engram \
-            --version="${VERSION}" \
-            --source=engram/dist/engram
-
-          # Re-upload as "latest" — Artifact Registry generic artifacts don't
-          # support moving tags, so we upload again. The newest upload wins.
-          gcloud artifacts generic upload \
-            --repository=foundation-dev \
-            --location=us-central1 \
-            --project=neuron-785695 \
-            --package=engram \
-            --version="latest" \
-            --source=engram/dist/engram \
-            2>/dev/null || true
-
-          echo "Published engram@${VERSION} and engram@latest"
-          rm -f /tmp/gcp-key.json

engram/dist/engram.c

@@ -2,11 +2,6 @@
 #include <stdlib.h>
 #include "el_runtime.h"
 
-el_val_t bm25_tokenize(el_val_t text);
-el_val_t bm25_count_term(el_val_t term, el_val_t doc_tokens);
-el_val_t bm25_score_doc(el_val_t doc_content, el_val_t query_tokens, el_val_t corpus_size, el_val_t avg_doc_len);
-el_val_t bm25_search_json(el_val_t query, el_val_t limit);
-el_val_t auto_link_content_node(el_val_t node_id, el_val_t content);
 el_val_t parse_port(el_val_t bind);
 el_val_t ok_json(void);
 el_val_t err_json(el_val_t msg);
@@ -25,246 +20,16 @@ el_val_t route_create_edge(el_val_t method, el_val_t path, el_val_t body);
 el_val_t route_neighbors(el_val_t method, el_val_t path, el_val_t body);
 el_val_t route_strengthen(el_val_t method, el_val_t path, el_val_t body);
 el_val_t route_forget(el_val_t method, el_val_t path, el_val_t body);
-el_val_t route_decay(el_val_t method, el_val_t path, el_val_t body);
-el_val_t route_export(el_val_t method, el_val_t path, el_val_t body);
-el_val_t route_reindex(el_val_t method, el_val_t path, el_val_t body);
+el_val_t route_save(el_val_t method, el_val_t path, el_val_t body);
 el_val_t route_load(el_val_t method, el_val_t path, el_val_t body);
 el_val_t route_health(el_val_t method, el_val_t path, el_val_t body);
-el_val_t route_neuron_session_begin(el_val_t method, el_val_t path, el_val_t body);
-el_val_t route_neuron_ctx(el_val_t method, el_val_t path, el_val_t body);
-el_val_t route_neuron_memory(el_val_t method, el_val_t path, el_val_t body);
-el_val_t route_neuron_knowledge_capture(el_val_t method, el_val_t path, el_val_t body);
-el_val_t route_neuron_knowledge_evolve(el_val_t method, el_val_t path, el_val_t body);
-el_val_t route_neuron_knowledge_promote(el_val_t method, el_val_t path, el_val_t body);
-el_val_t route_neuron_recall(el_val_t method, el_val_t path, el_val_t body);
-el_val_t route_neuron_graph(el_val_t method, el_val_t path, el_val_t body);
-el_val_t route_neuron_graph_link(el_val_t method, el_val_t path, el_val_t body);
-el_val_t route_neuron_list(el_val_t method, el_val_t path, el_val_t body);
-el_val_t route_neuron_consolidate(el_val_t method, el_val_t path, el_val_t body);
-el_val_t route_neuron_config(el_val_t method, el_val_t path, el_val_t body);
-el_val_t route_neuron_state_events(el_val_t method, el_val_t path, el_val_t body);
-el_val_t route_neuron_processes(el_val_t method, el_val_t path, el_val_t body);
-el_val_t route_events_next(el_val_t method, el_val_t path, el_val_t body);
-el_val_t route_events_ack(el_val_t method, el_val_t path, el_val_t body);
-el_val_t route_bm25_search(el_val_t method, el_val_t path, el_val_t body);
 el_val_t check_auth_ok(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 bind_str;
 el_val_t port;
 el_val_t data_dir;
-el_val_t db_path;
-el_val_t loaded;
-
-el_val_t bm25_tokenize(el_val_t text) {
-  el_val_t t = str_to_lower(text);
-  t = str_replace(t, EL_STR("."), EL_STR(" "));
-  t = str_replace(t, EL_STR(","), EL_STR(" "));
-  t = str_replace(t, EL_STR("!"), EL_STR(" "));
-  t = str_replace(t, EL_STR("?"), EL_STR(" "));
-  t = str_replace(t, EL_STR("\""), EL_STR(" "));
-  t = str_replace(t, EL_STR(":"), EL_STR(" "));
-  t = str_replace(t, EL_STR(";"), EL_STR(" "));
-  t = str_replace(t, EL_STR("("), EL_STR(" "));
-  t = str_replace(t, EL_STR(")"), EL_STR(" "));
-  t = str_replace(t, EL_STR("["), EL_STR(" "));
-  t = str_replace(t, EL_STR("]"), EL_STR(" "));
-  t = str_replace(t, EL_STR("{"), EL_STR(" "));
-  t = str_replace(t, EL_STR("}"), EL_STR(" "));
-  t = str_replace(t, EL_STR("/"), EL_STR(" "));
-  t = str_replace(t, EL_STR("\\"), EL_STR(" "));
-  t = str_replace(t, EL_STR("'"), EL_STR(" "));
-  t = str_replace(t, EL_STR("-"), EL_STR(" "));
-  t = str_replace(t, EL_STR("_"), EL_STR(" "));
-  t = str_replace(t, EL_STR("+"), EL_STR(" "));
-  return str_trim(t);
-  return 0;
-}
-
-el_val_t bm25_count_term(el_val_t term, el_val_t doc_tokens) {
-  el_val_t padded_term = el_str_concat(el_str_concat(EL_STR(" "), term), EL_STR(" "));
-  el_val_t padded_doc = el_str_concat(el_str_concat(EL_STR(" "), doc_tokens), EL_STR(" "));
-  return str_count(padded_doc, padded_term);
-  return 0;
-}
-
-el_val_t bm25_score_doc(el_val_t doc_content, el_val_t query_tokens, el_val_t corpus_size, el_val_t avg_doc_len) {
-  el_val_t k1 = el_from_float(1.2);
-  el_val_t b = el_from_float(0.75);
-  el_val_t delta = el_from_float(1.0);
-  el_val_t doc_tokens = bm25_tokenize(doc_content);
-  el_val_t doc_wc = str_count_words(doc_tokens);
-  if (doc_wc == 0) {
-    return EL_STR("0.0");
-  }
-  el_val_t doc_len = int_to_float(doc_wc);
-  el_val_t avg_len = str_to_float(avg_doc_len);
-  el_val_t N = int_to_float(corpus_size);
-  el_val_t idf_arg = float_add(float_div(float_add(N, el_from_float(1.2)), el_from_float(1.5)), el_from_float(1.0));
-  el_val_t idf = math_log(idf_arg);
-  el_val_t terms = str_split(query_tokens, EL_STR(" "));
-  el_val_t n_terms = len(terms);
-  el_val_t score = el_from_float(0.0);
-  el_val_t i = 0;
-  while (i < n_terms) {
-    el_val_t term = get(terms, i);
-    el_val_t tlen = str_len(term);
-    if (tlen >= 2) {
-      el_val_t tf_count = bm25_count_term(term, doc_tokens);
-      if (tf_count > 0) {
-        el_val_t tf_raw = int_to_float(tf_count);
-        el_val_t norm_factor = float_add(float_sub(el_from_float(1.0), b), float_div(float_mul(b, doc_len), avg_len));
-        el_val_t numerator = float_mul(tf_raw, float_add(k1, el_from_float(1.0)));
-        el_val_t denominator = float_add(tf_raw, float_mul(k1, norm_factor));
-        el_val_t tf_comp = float_add(delta, float_div(numerator, denominator));
-        score = float_add(score, float_mul(idf, tf_comp));
-      }
-    }
-    i = (i + 1);
-  }
-  return float_to_str(score);
-  return 0;
-}
-
-el_val_t bm25_search_json(el_val_t query, el_val_t limit) {
-  el_val_t scan_limit = (limit * 10);
-  if (scan_limit < 200) {
-    scan_limit = 200;
-  }
-  if (scan_limit > 5000) {
-    scan_limit = 5000;
-  }
-  el_val_t nodes_json = engram_scan_nodes_json(scan_limit, 0);
-  el_val_t n = json_array_len(nodes_json);
-  if (n == 0) {
-    return EL_STR("[]");
-  }
-  el_val_t total_words = 0;
-  el_val_t i = 0;
-  while (i < n) {
-    el_val_t node = json_array_get(nodes_json, i);
-    el_val_t content = json_get_string(node, EL_STR("content"));
-    el_val_t tokens = bm25_tokenize(content);
-    el_val_t wc = str_count_words(tokens);
-    total_words = (total_words + wc);
-    i = (i + 1);
-  }
-  el_val_t avg_doc_len_f = float_div(int_to_float(total_words), int_to_float(n));
-  el_val_t avg_doc_len = ({ el_val_t _if_result_1 = 0; if (float_gt(avg_doc_len_f, el_from_float(0.0))) { _if_result_1 = (float_to_str(avg_doc_len_f)); } else { _if_result_1 = (EL_STR("1.0")); } _if_result_1; });
-  el_val_t query_tokens = bm25_tokenize(query);
-  if (str_eq(str_trim(query_tokens), EL_STR(""))) {
-    return EL_STR("[]");
-  }
-  el_val_t result_nodes = 0;
-  el_val_t result_scores = 0;
-  el_val_t result_count = 0;
-  el_val_t j = 0;
-  while (j < n) {
-    el_val_t node = json_array_get(nodes_json, j);
-    el_val_t content = json_get_string(node, EL_STR("content"));
-    el_val_t sc_str = bm25_score_doc(content, query_tokens, n, avg_doc_len);
-    if (float_gt(str_to_float(sc_str), el_from_float(0.0))) {
-      result_nodes = list_push(result_nodes, node);
-      result_scores = list_push(result_scores, sc_str);
-      result_count = (result_count + 1);
-    }
-    j = (j + 1);
-  }
-  if (result_count == 0) {
-    return EL_STR("[]");
-  }
-  el_val_t out_limit = ({ el_val_t _if_result_2 = 0; if ((result_count < limit)) { _if_result_2 = (result_count); } else { _if_result_2 = (limit); } _if_result_2; });
-  el_val_t k = 0;
-  while (k < out_limit) {
-    el_val_t max_idx = k;
-    el_val_t max_sc_str = get(result_scores, k);
-    el_val_t max_sc_f = str_to_float(max_sc_str);
-    el_val_t p = (k + 1);
-    while (p < result_count) {
-      el_val_t sc2_str = get(result_scores, p);
-      el_val_t sc2_f = str_to_float(sc2_str);
-      if (float_gt(sc2_f, max_sc_f)) {
-        max_sc_f = sc2_f;
-        max_sc_str = sc2_str;
-        max_idx = p;
-      }
-      p = (p + 1);
-    }
-    if (max_idx != k) {
-      el_val_t tmp_node = get(result_nodes, k);
-      el_val_t tmp_sc = get(result_scores, k);
-      result_nodes = list_set(result_nodes, k, get(result_nodes, max_idx));
-      result_scores = list_set(result_scores, k, get(result_scores, max_idx));
-      result_nodes = list_set(result_nodes, max_idx, tmp_node);
-      result_scores = list_set(result_scores, max_idx, tmp_sc);
-    }
-    k = (k + 1);
-  }
-  el_val_t out = EL_STR("[");
-  el_val_t r = 0;
-  while (r < out_limit) {
-    el_val_t node = get(result_nodes, r);
-    el_val_t sc_str = get(result_scores, r);
-    el_val_t node_len = str_len(node);
-    el_val_t node_body = str_slice(node, 0, (node_len - 1));
-    el_val_t entry = el_str_concat(el_str_concat(el_str_concat(node_body, EL_STR(",\"bm25_score\":")), sc_str), EL_STR("}"));
-    if (r > 0) {
-      out = el_str_concat(out, EL_STR(","));
-    }
-    out = el_str_concat(out, entry);
-    r = (r + 1);
-  }
-  return el_str_concat(out, EL_STR("]"));
-  return 0;
-}
-
-el_val_t auto_link_content_node(el_val_t node_id, el_val_t content) {
-  el_val_t clen = str_len(content);
-  if (clen < 20) {
-    return 0;
-  }
-  el_val_t sp1 = str_index_of(content, EL_STR(" "));
-  el_val_t w1end = ({ el_val_t _if_result_3 = 0; if ((sp1 < 0)) { _if_result_3 = (clen); } else { _if_result_3 = (sp1); } _if_result_3; });
-  el_val_t word1 = str_slice(content, 0, w1end);
-  state_set(EL_STR("aln_term"), EL_STR(""));
-  if (str_len(word1) >= 5) {
-    state_set(EL_STR("aln_term"), word1);
-  }
-  if (str_eq(state_get(EL_STR("aln_term")), EL_STR(""))) {
-    if (sp1 >= 0) {
-      el_val_t rest = str_slice(content, (sp1 + 1), clen);
-      el_val_t sp2 = str_index_of(rest, EL_STR(" "));
-      el_val_t w2end = ({ el_val_t _if_result_4 = 0; if ((sp2 < 0)) { _if_result_4 = (str_len(rest)); } else { _if_result_4 = (sp2); } _if_result_4; });
-      el_val_t word2 = str_slice(rest, 0, w2end);
-      if (str_len(word2) >= 5) {
-        state_set(EL_STR("aln_term"), word2);
-      }
-    }
-  }
-  el_val_t search_term = state_get(EL_STR("aln_term"));
-  if (str_eq(search_term, EL_STR(""))) {
-    return 0;
-  }
-  el_val_t results = bm25_search_json(search_term, 20);
-  el_val_t n = json_array_len(results);
-  state_set(EL_STR("aln_linked"), EL_STR("0"));
-  el_val_t i = 0;
-  while (i < n) {
-    el_val_t linked_so_far = str_to_int(state_get(EL_STR("aln_linked")));
-    if (linked_so_far < 3) {
-      el_val_t elem = json_array_get(results, i);
-      el_val_t rid = json_get_string(elem, EL_STR("id"));
-      el_val_t rtype = json_get_string(elem, EL_STR("node_type"));
-      if ((!str_eq(rtype, EL_STR("InternalStateEvent")) && !str_eq(rid, EL_STR(""))) && !str_eq(rid, node_id)) {
-        engram_connect(node_id, rid, el_from_float(0.6), EL_STR("related"));
-        state_set(EL_STR("aln_linked"), int_to_str((linked_so_far + 1)));
-      }
-    }
-    i = (i + 1);
-  }
-  return str_to_int(state_get(EL_STR("aln_linked")));
-  return 0;
-}
+el_val_t snapshot_path;
 
 el_val_t parse_port(el_val_t bind) {
   el_val_t colon = str_index_of(bind, EL_STR(":"));
@@ -354,8 +119,7 @@ el_val_t route_create_node(el_val_t method, el_val_t path, el_val_t body) {
     salience = el_from_float(0.5);
   }
   el_val_t id = engram_node(content, node_type, salience);
-  el_val_t auto_linked = auto_link_content_node(id, content);
-  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("{\"id\":\""), id), EL_STR("\",\"content\":\"")), content), EL_STR("\",\"node_type\":\"")), node_type), EL_STR("\",\"auto_linked\":")), int_to_str(auto_linked)), EL_STR("}"));
+  return el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"id\":\""), id), EL_STR("\",\"content\":\"")), content), EL_STR("\",\"node_type\":\"")), node_type), EL_STR("\"}"));
   return 0;
 }
 
@@ -412,7 +176,7 @@ el_val_t route_search(el_val_t method, el_val_t path, el_val_t body) {
   if (limit == 0) {
     limit = 20;
   }
-  return bm25_search_json(q, limit);
+  return engram_search_json(q, limit);
   return 0;
 }
 
@@ -429,17 +193,6 @@ el_val_t route_activate(el_val_t method, el_val_t path, el_val_t body) {
       depth = bd;
     }
   }
-  el_val_t top = bm25_search_json(q, 10);
-  el_val_t nb = json_array_len(top);
-  el_val_t bi = 0;
-  while (bi < nb) {
-    el_val_t node = json_array_get(top, bi);
-    el_val_t nid = json_get_string(node, EL_STR("id"));
-    if (!str_eq(nid, EL_STR(""))) {
-      engram_strengthen(nid);
-    }
-    bi = (bi + 1);
-  }
   return el_str_concat(el_str_concat(EL_STR("{\"results\":"), engram_activate_json(q, depth)), EL_STR("}"));
   return 0;
 }
@@ -490,46 +243,30 @@ el_val_t route_forget(el_val_t method, el_val_t path, el_val_t body) {
   return 0;
 }
 
-el_val_t route_decay(el_val_t method, el_val_t path, el_val_t body) {
-  return engram_apply_decay_json();
-  return 0;
-}
-
-el_val_t route_export(el_val_t method, el_val_t path, el_val_t body) {
-  el_val_t dir = env(EL_STR("ENGRAM_DATA_DIR"));
-  if (str_eq(dir, EL_STR(""))) {
-    dir = EL_STR("/tmp/engram");
-  }
-  el_val_t db_path = el_str_concat(dir, EL_STR("/engram.db"));
-  engram_write_binary_el(db_path);
+el_val_t route_save(el_val_t method, el_val_t path, el_val_t body) {
   el_val_t p = json_get_string(body, EL_STR("path"));
   if (str_eq(p, EL_STR(""))) {
+    el_val_t dir = env(EL_STR("ENGRAM_DATA_DIR"));
+    if (str_eq(dir, EL_STR(""))) {
+      dir = EL_STR("/tmp/engram");
+    }
     p = el_str_concat(dir, EL_STR("/snapshot.json"));
   }
   engram_save(p);
-  return el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"ok\":true,\"binary\":\""), db_path), EL_STR("\",\"json\":\"")), p), EL_STR("\"}"));
-  return 0;
-}
-
-el_val_t route_reindex(el_val_t method, el_val_t path, el_val_t body) {
-  return engram_reindex_json();
+  return el_str_concat(el_str_concat(EL_STR("{\"ok\":true,\"path\":\""), p), EL_STR("\"}"));
   return 0;
 }
 
 el_val_t route_load(el_val_t method, el_val_t path, el_val_t body) {
-  el_val_t dir = env(EL_STR("ENGRAM_DATA_DIR"));
-  if (str_eq(dir, EL_STR(""))) {
-    dir = EL_STR("/tmp/engram");
-  }
-  el_val_t db_path = el_str_concat(dir, EL_STR("/engram.db"));
-  el_val_t ok = engram_load_binary_el(db_path);
-  if (!ok) {
-    el_val_t p = json_get_string(body, EL_STR("path"));
-    if (str_eq(p, EL_STR(""))) {
-      p = el_str_concat(dir, EL_STR("/snapshot.json"));
+  el_val_t p = json_get_string(body, EL_STR("path"));
+  if (str_eq(p, EL_STR(""))) {
+    el_val_t dir = env(EL_STR("ENGRAM_DATA_DIR"));
+    if (str_eq(dir, EL_STR(""))) {
+      dir = EL_STR("/tmp/engram");
     }
-    engram_load(p);
+    p = el_str_concat(dir, EL_STR("/snapshot.json"));
   }
+  engram_load(p);
   return ok_json();
   return 0;
 }
@@ -539,344 +276,6 @@ el_val_t route_health(el_val_t method, el_val_t path, el_val_t body) {
   return 0;
 }
 
-el_val_t route_neuron_session_begin(el_val_t method, el_val_t path, el_val_t body) {
-  el_val_t results = engram_activate_json(EL_STR("memory knowledge context"), 2);
-  el_val_t nc = engram_node_count();
-  el_val_t ec = engram_edge_count();
-  return el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"ok\":true,\"nodes\":"), results), EL_STR(",\"node_count\":")), int_to_str(nc)), EL_STR(",\"edge_count\":")), int_to_str(ec)), EL_STR("}"));
-  return 0;
-}
-
-el_val_t route_neuron_ctx(el_val_t method, el_val_t path, el_val_t body) {
-  el_val_t results = engram_activate_json(EL_STR("architecture decision memory"), 2);
-  el_val_t n = json_array_len(results);
-  el_val_t limit = ({ el_val_t _if_result_5 = 0; if ((n > 10)) { _if_result_5 = (10); } else { _if_result_5 = (n); } _if_result_5; });
-  el_val_t ctx = EL_STR("Recent working memory:\n");
-  el_val_t i = 0;
-  el_val_t ctx_body = EL_STR("");
-  while (i < limit) {
-    el_val_t elem = json_array_get(results, i);
-    el_val_t label = json_get_string(elem, EL_STR("label"));
-    el_val_t content = json_get_string(elem, EL_STR("content"));
-    el_val_t clen = str_len(content);
-    el_val_t snippet = ({ el_val_t _if_result_6 = 0; if ((clen > 200)) { _if_result_6 = (str_slice(content, 0, 200)); } else { _if_result_6 = (content); } _if_result_6; });
-    ctx_body = el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(ctx_body, EL_STR("- [")), label), EL_STR("]: ")), snippet), EL_STR("\n"));
-    i = (i + 1);
-  }
-  el_val_t full_ctx = el_str_concat(ctx, ctx_body);
-  return el_str_concat(el_str_concat(EL_STR("{\"ok\":true,\"context\":\""), str_replace(str_replace(str_replace(full_ctx, EL_STR("\\"), EL_STR("\\\\")), EL_STR("\""), EL_STR("\\\"")), EL_STR("\n"), EL_STR("\\n"))), EL_STR("\"}"));
-  return 0;
-}
-
-el_val_t route_neuron_memory(el_val_t method, el_val_t path, el_val_t body) {
-  el_val_t content = json_get_string(body, EL_STR("content"));
-  if (str_eq(content, EL_STR(""))) {
-    return EL_STR("{\"error\":\"content is required\"}");
-  }
-  el_val_t node_type = json_get_string(body, EL_STR("node_type"));
-  if (str_eq(node_type, EL_STR(""))) {
-    node_type = EL_STR("Memory");
-  }
-  el_val_t label = json_get_string(body, EL_STR("label"));
-  el_val_t importance = json_get_string(body, EL_STR("importance"));
-  el_val_t project = json_get_string(body, EL_STR("project"));
-  el_val_t tags_raw = json_get_string(body, EL_STR("tags"));
-  el_val_t tier = EL_STR("Episodic");
-  if (str_eq(importance, EL_STR("critical"))) {
-    tier = EL_STR("Procedural");
-  }
-  if (str_eq(importance, EL_STR("high"))) {
-    tier = EL_STR("Semantic");
-  }
-  if (str_eq(importance, EL_STR("normal"))) {
-    tier = EL_STR("Episodic");
-  }
-  if (str_eq(importance, EL_STR("low"))) {
-    tier = EL_STR("Working");
-  }
-  el_val_t explicit_tier = json_get_string(body, EL_STR("tier"));
-  if (!str_eq(explicit_tier, EL_STR(""))) {
-    tier = explicit_tier;
-  }
-  el_val_t tags_str = tags_raw;
-  if (!str_eq(project, EL_STR(""))) {
-    if (str_eq(tags_str, EL_STR(""))) {
-      tags_str = el_str_concat(EL_STR("project:"), project);
-    }
-    if (!str_eq(tags_str, EL_STR(""))) {
-      tags_str = el_str_concat(el_str_concat(tags_str, EL_STR(" project:")), project);
-    }
-  }
-  el_val_t id = engram_node_full(content, node_type, label, el_from_float(0.5), el_from_float(0.5), el_from_float(1.0), tier, tags_str);
-  el_val_t auto_linked = auto_link_content_node(id, content);
-  el_val_t dir = env(EL_STR("ENGRAM_DATA_DIR"));
-  if (str_eq(dir, EL_STR(""))) {
-    dir = EL_STR("/tmp/engram");
-  }
-  el_val_t db_path = el_str_concat(dir, EL_STR("/engram.db"));
-  engram_write_binary_el(db_path);
-  return el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"ok\":true,\"id\":\""), id), EL_STR("\",\"auto_linked\":")), int_to_str(auto_linked)), EL_STR(",\"content\":\"")), str_replace(str_replace(content, EL_STR("\\"), EL_STR("\\\\")), EL_STR("\""), EL_STR("\\\""))), EL_STR("\"}"));
-  return 0;
-}
-
-el_val_t route_neuron_knowledge_capture(el_val_t method, el_val_t path, el_val_t body) {
-  el_val_t content = json_get_string(body, EL_STR("content"));
-  if (str_eq(content, EL_STR(""))) {
-    return EL_STR("{\"error\":\"content is required\"}");
-  }
-  el_val_t title = json_get_string(body, EL_STR("title"));
-  el_val_t category = json_get_string(body, EL_STR("category"));
-  el_val_t tags_raw = json_get_string(body, EL_STR("tags"));
-  el_val_t project = json_get_string(body, EL_STR("project"));
-  el_val_t tier_raw = json_get_string(body, EL_STR("tier"));
-  el_val_t tier = EL_STR("Episodic");
-  if (str_eq(tier_raw, EL_STR("lesson"))) {
-    tier = EL_STR("Semantic");
-  }
-  if (str_eq(tier_raw, EL_STR("canonical"))) {
-    tier = EL_STR("Procedural");
-  }
-  if (str_eq(tier_raw, EL_STR("note"))) {
-    tier = EL_STR("Episodic");
-  }
-  el_val_t tags_str = tags_raw;
-  if (!str_eq(category, EL_STR(""))) {
-    if (str_eq(tags_str, EL_STR(""))) {
-      tags_str = el_str_concat(EL_STR("category:"), category);
-    }
-    if (!str_eq(tags_str, EL_STR(""))) {
-      tags_str = el_str_concat(el_str_concat(tags_str, EL_STR(" category:")), category);
-    }
-  }
-  if (!str_eq(project, EL_STR(""))) {
-    if (str_eq(tags_str, EL_STR(""))) {
-      tags_str = el_str_concat(EL_STR("project:"), project);
-    }
-    if (!str_eq(tags_str, EL_STR(""))) {
-      tags_str = el_str_concat(el_str_concat(tags_str, EL_STR(" project:")), project);
-    }
-  }
-  el_val_t id = engram_node_full(content, EL_STR("Knowledge"), title, el_from_float(0.7), el_from_float(0.7), el_from_float(1.0), tier, tags_str);
-  el_val_t auto_linked = auto_link_content_node(id, content);
-  el_val_t dir = env(EL_STR("ENGRAM_DATA_DIR"));
-  if (str_eq(dir, EL_STR(""))) {
-    dir = EL_STR("/tmp/engram");
-  }
-  el_val_t db_path = el_str_concat(dir, EL_STR("/engram.db"));
-  engram_write_binary_el(db_path);
-  return el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"ok\":true,\"id\":\""), id), EL_STR("\",\"auto_linked\":")), int_to_str(auto_linked)), EL_STR("}"));
-  return 0;
-}
-
-el_val_t route_neuron_knowledge_evolve(el_val_t method, el_val_t path, el_val_t body) {
-  el_val_t content = json_get_string(body, EL_STR("content"));
-  el_val_t prior_id = json_get_string(body, EL_STR("id"));
-  if (str_eq(content, EL_STR(""))) {
-    return EL_STR("{\"ok\":true}");
-  }
-  el_val_t id = engram_node_full(content, EL_STR("Knowledge"), EL_STR(""), el_from_float(0.7), el_from_float(0.7), el_from_float(1.0), EL_STR("Semantic"), EL_STR("evolved"));
-  if (!str_eq(prior_id, EL_STR("")) && !str_eq(id, EL_STR(""))) {
-    engram_connect(id, prior_id, el_from_float(1.0), EL_STR("supersedes"));
-  }
-  el_val_t dir = env(EL_STR("ENGRAM_DATA_DIR"));
-  if (str_eq(dir, EL_STR(""))) {
-    dir = EL_STR("/tmp/engram");
-  }
-  engram_write_binary_el(el_str_concat(dir, EL_STR("/engram.db")));
-  return el_str_concat(el_str_concat(EL_STR("{\"ok\":true,\"id\":\""), id), EL_STR("\"}"));
-  return 0;
-}
-
-el_val_t route_neuron_knowledge_promote(el_val_t method, el_val_t path, el_val_t body) {
-  el_val_t id = json_get_string(body, EL_STR("id"));
-  if (str_eq(id, EL_STR(""))) {
-    return EL_STR("{\"ok\":true}");
-  }
-  el_val_t node_json = engram_get_node_json(id);
-  if (str_eq(node_json, EL_STR(""))) {
-    return err_json(EL_STR("node not found"));
-  }
-  if (str_eq(node_json, EL_STR("null"))) {
-    return err_json(EL_STR("node not found"));
-  }
-  el_val_t content = json_get_string(node_json, EL_STR("content"));
-  if (str_eq(content, EL_STR(""))) {
-    return err_json(EL_STR("node has no content"));
-  }
-  el_val_t label = json_get_string(node_json, EL_STR("label"));
-  el_val_t tags = json_get_string(node_json, EL_STR("tags"));
-  el_val_t current_tier = json_get_string(node_json, EL_STR("tier"));
-  el_val_t tier_raw = json_get_string(body, EL_STR("tier"));
-  el_val_t new_tier = EL_STR("");
-  if (str_eq(tier_raw, EL_STR("lesson"))) {
-    new_tier = EL_STR("Semantic");
-  }
-  if (str_eq(tier_raw, EL_STR("canonical"))) {
-    new_tier = EL_STR("Procedural");
-  }
-  if (str_eq(tier_raw, EL_STR("note"))) {
-    new_tier = EL_STR("Episodic");
-  }
-  if (str_eq(new_tier, EL_STR(""))) {
-    if (str_eq(current_tier, EL_STR("Working"))) {
-      new_tier = EL_STR("Episodic");
-    }
-    if (str_eq(current_tier, EL_STR("Episodic"))) {
-      new_tier = EL_STR("Semantic");
-    }
-    if (str_eq(current_tier, EL_STR("Semantic"))) {
-      new_tier = EL_STR("Procedural");
-    }
-    if (str_eq(current_tier, EL_STR("Procedural"))) {
-      new_tier = EL_STR("Procedural");
-    }
-  }
-  if (str_eq(new_tier, EL_STR(""))) {
-    new_tier = EL_STR("Semantic");
-  }
-  el_val_t new_id = engram_node_full(content, EL_STR("Knowledge"), label, el_from_float(0.7), el_from_float(0.8), el_from_float(1.0), new_tier, tags);
-  if (!str_eq(new_id, EL_STR(""))) {
-    engram_connect(new_id, id, el_from_float(1.0), EL_STR("supersedes"));
-  }
-  el_val_t dir = env(EL_STR("ENGRAM_DATA_DIR"));
-  if (str_eq(dir, EL_STR(""))) {
-    dir = EL_STR("/tmp/engram");
-  }
-  engram_write_binary_el(el_str_concat(dir, EL_STR("/engram.db")));
-  return el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"ok\":true,\"id\":\""), new_id), EL_STR("\",\"promoted_from\":\"")), id), EL_STR("\",\"tier\":\"")), new_tier), EL_STR("\"}"));
-  return 0;
-}
-
-el_val_t route_neuron_recall(el_val_t method, el_val_t path, el_val_t body) {
-  el_val_t query = json_get_string(body, EL_STR("query"));
-  el_val_t chain = json_get_string(body, EL_STR("chain_name"));
-  el_val_t limit = json_get_int(body, EL_STR("limit"));
-  if (limit == 0) {
-    limit = 20;
-  }
-  el_val_t q = ({ el_val_t _if_result_7 = 0; if (str_eq(query, EL_STR(""))) { _if_result_7 = (chain); } else { _if_result_7 = (query); } _if_result_7; });
-  if (str_eq(q, EL_STR(""))) {
-    return engram_scan_nodes_json(limit, 0);
-  }
-  return bm25_search_json(q, limit);
-  return 0;
-}
-
-el_val_t route_neuron_graph(el_val_t method, el_val_t path, el_val_t body) {
-  el_val_t id = query_param(path, EL_STR("id"));
-  if (str_eq(id, EL_STR(""))) {
-    return EL_STR("{\"error\":\"id is required\"}");
-  }
-  el_val_t node_json = engram_get_node_json(id);
-  return el_str_concat(el_str_concat(EL_STR("{\"ok\":true,\"node\":"), node_json), EL_STR(",\"neighbors\":[]}"));
-  return 0;
-}
-
-el_val_t route_neuron_graph_link(el_val_t method, el_val_t path, el_val_t body) {
-  el_val_t from_id = json_get_string(body, EL_STR("from_id"));
-  el_val_t to_id = json_get_string(body, EL_STR("to_id"));
-  if (str_eq(from_id, EL_STR("")) || str_eq(to_id, EL_STR(""))) {
-    return EL_STR("{\"error\":\"from_id and to_id are required\"}");
-  }
-  el_val_t relation = json_get_string(body, EL_STR("relation"));
-  if (str_eq(relation, EL_STR(""))) {
-    relation = EL_STR("related");
-  }
-  el_val_t weight = json_get_float(body, EL_STR("weight"));
-  if (str_eq(weight, el_from_float(0.0))) {
-    weight = el_from_float(0.5);
-  }
-  engram_connect(from_id, to_id, weight, 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\":\"")), relation), EL_STR("\"}"));
-  return 0;
-}
-
-el_val_t route_neuron_list(el_val_t method, el_val_t path, el_val_t body) {
-  el_val_t clean = strip_query(path);
-  el_val_t prefix = EL_STR("/api/neuron/list/");
-  el_val_t node_type = str_slice(clean, str_len(prefix), str_len(clean));
-  el_val_t limit = query_int(path, EL_STR("limit"), 50);
-  if (str_eq(node_type, EL_STR(""))) {
-    return EL_STR("[]");
-  }
-  return engram_scan_nodes_by_type_json(node_type, limit, 0);
-  return 0;
-}
-
-el_val_t route_neuron_consolidate(el_val_t method, el_val_t path, el_val_t body) {
-  el_val_t dir = env(EL_STR("ENGRAM_DATA_DIR"));
-  if (str_eq(dir, EL_STR(""))) {
-    dir = EL_STR("/tmp/engram");
-  }
-  el_val_t db_path = el_str_concat(dir, EL_STR("/engram.db"));
-  engram_write_binary_el(db_path);
-  el_val_t nc = engram_node_count();
-  el_val_t ec = engram_edge_count();
-  return el_str_concat(el_str_concat(el_str_concat(el_str_concat(EL_STR("{\"ok\":true,\"node_count\":"), int_to_str(nc)), EL_STR(",\"edge_count\":")), int_to_str(ec)), EL_STR("}"));
-  return 0;
-}
-
-el_val_t route_neuron_config(el_val_t method, el_val_t path, el_val_t body) {
-  el_val_t key = query_param(path, EL_STR("key"));
-  return el_str_concat(el_str_concat(EL_STR("{\"key\":\""), key), EL_STR("\",\"value\":\"\"}"));
-  return 0;
-}
-
-el_val_t route_neuron_state_events(el_val_t method, el_val_t path, el_val_t body) {
-  if (str_eq(method, EL_STR("GET"))) {
-    el_val_t limit_str = query_param(path, EL_STR("limit"));
-    el_val_t limit = ({ el_val_t _if_result_8 = 0; if (str_eq(limit_str, EL_STR(""))) { _if_result_8 = (50); } else { _if_result_8 = (str_to_int(limit_str)); } _if_result_8; });
-    el_val_t offset_str = query_param(path, EL_STR("offset"));
-    el_val_t offset = ({ el_val_t _if_result_9 = 0; if (str_eq(offset_str, EL_STR(""))) { _if_result_9 = (0); } else { _if_result_9 = (str_to_int(offset_str)); } _if_result_9; });
-    return engram_scan_nodes_by_type_json(EL_STR("InternalStateEvent"), limit, offset);
-  }
-  el_val_t content = json_get_string(body, EL_STR("content"));
-  if (str_eq(content, EL_STR(""))) {
-    content = body;
-  }
-  el_val_t event_label = json_get_string(content, EL_STR("event"));
-  el_val_t label = ({ el_val_t _if_result_10 = 0; if (str_eq(event_label, EL_STR(""))) { _if_result_10 = (EL_STR("state-event")); } else { _if_result_10 = (event_label); } _if_result_10; });
-  el_val_t id = engram_node_full(content, EL_STR("InternalStateEvent"), label, el_from_float(0.3), el_from_float(0.3), el_from_float(1.0), EL_STR("Working"), EL_STR("internal-state"));
-  return el_str_concat(el_str_concat(EL_STR("{\"ok\":true,\"id\":\""), id), EL_STR("\"}"));
-  return 0;
-}
-
-el_val_t route_neuron_processes(el_val_t method, el_val_t path, el_val_t body) {
-  return EL_STR("{\"ok\":true,\"processes\":[]}");
-  return 0;
-}
-
-el_val_t route_events_next(el_val_t method, el_val_t path, el_val_t body) {
-  return EL_STR("{\"ok\":true,\"event\":null}");
-  return 0;
-}
-
-el_val_t route_events_ack(el_val_t method, el_val_t path, el_val_t body) {
-  return EL_STR("{\"ok\":true}");
-  return 0;
-}
-
-el_val_t route_bm25_search(el_val_t method, el_val_t path, el_val_t body) {
-  el_val_t q = EL_STR("");
-  if (str_eq(method, EL_STR("GET"))) {
-    q = query_param(path, EL_STR("q"));
-  } else {
-    q = json_get_string(body, EL_STR("query"));
-  }
-  if (str_eq(q, EL_STR(""))) {
-    return EL_STR("{\"error\":\"query is required\"}");
-  }
-  el_val_t limit = query_int(path, EL_STR("limit"), 20);
-  if (limit == 0) {
-    limit = json_get_int(body, EL_STR("limit"));
-  }
-  if (limit == 0) {
-    limit = 20;
-  }
-  return bm25_search_json(q, limit);
-  return 0;
-}
-
 el_val_t check_auth_ok(el_val_t method, el_val_t body) {
   el_val_t key = env(EL_STR("ENGRAM_API_KEY"));
   if (str_eq(key, EL_STR(""))) {
@@ -900,60 +299,6 @@ el_val_t handle_request(el_val_t method, el_val_t path, el_val_t body) {
       return route_health(method, path, body);
     }
   }
-  if (str_starts_with(clean, EL_STR("/api/neuron/")) || str_starts_with(clean, EL_STR("/events/"))) {
-    if (str_eq(clean, EL_STR("/api/neuron/session/begin"))) {
-      return route_neuron_session_begin(method, path, body);
-    }
-    if (str_eq(clean, EL_STR("/api/neuron/ctx"))) {
-      return route_neuron_ctx(method, path, body);
-    }
-    if (str_eq(clean, EL_STR("/api/neuron/memory"))) {
-      return route_neuron_memory(method, path, body);
-    }
-    if (str_eq(clean, EL_STR("/api/neuron/knowledge/capture"))) {
-      return route_neuron_knowledge_capture(method, path, body);
-    }
-    if (str_eq(clean, EL_STR("/api/neuron/knowledge/evolve"))) {
-      return route_neuron_knowledge_evolve(method, path, body);
-    }
-    if (str_eq(clean, EL_STR("/api/neuron/knowledge/promote"))) {
-      return route_neuron_knowledge_promote(method, path, body);
-    }
-    if (str_eq(clean, EL_STR("/api/neuron/recall"))) {
-      return route_neuron_recall(method, path, body);
-    }
-    if (str_eq(clean, EL_STR("/api/neuron/graph/link"))) {
-      return route_neuron_graph_link(method, path, body);
-    }
-    if (str_eq(clean, EL_STR("/api/neuron/graph"))) {
-      return route_neuron_graph(method, path, body);
-    }
-    if (str_starts_with(clean, EL_STR("/api/neuron/list/"))) {
-      return route_neuron_list(method, path, body);
-    }
-    if (str_eq(clean, EL_STR("/api/neuron/consolidate"))) {
-      return route_neuron_consolidate(method, path, body);
-    }
-    if (str_eq(clean, EL_STR("/api/neuron/config"))) {
-      return route_neuron_config(method, path, body);
-    }
-    if (str_eq(clean, EL_STR("/api/neuron/state-events"))) {
-      return route_neuron_state_events(method, path, body);
-    }
-    if (str_eq(clean, EL_STR("/api/neuron/processes/define"))) {
-      return route_neuron_processes(method, path, body);
-    }
-    if (str_eq(clean, EL_STR("/api/neuron/processes"))) {
-      return route_neuron_processes(method, path, body);
-    }
-    if (str_eq(clean, EL_STR("/events/next"))) {
-      return route_events_next(method, path, body);
-    }
-    if (str_eq(clean, EL_STR("/events/ack"))) {
-      return route_events_ack(method, path, body);
-    }
-    return err_json(EL_STR("not found"));
-  }
   if (!check_auth_ok(method, body)) {
     return err_json(EL_STR("unauthorized"));
   }
@@ -993,80 +338,15 @@ el_val_t handle_request(el_val_t method, el_val_t path, el_val_t body) {
   if (str_eq(method, EL_STR("GET")) && str_starts_with(clean, EL_STR("/api/search"))) {
     return route_search(method, path, body);
   }
-  if (str_eq(clean, EL_STR("/api/bm25/search"))) {
-    return route_bm25_search(method, path, body);
-  }
   if (str_eq(method, EL_STR("POST")) && (str_eq(clean, EL_STR("/api/strengthen")) || str_eq(clean, EL_STR("/strengthen")))) {
     return route_strengthen(method, path, body);
   }
-  if (str_eq(method, EL_STR("POST")) && ((str_eq(clean, EL_STR("/api/decay")) || str_eq(clean, EL_STR("/api/maintenance"))) || str_eq(clean, EL_STR("/decay")))) {
-    return route_decay(method, path, body);
-  }
-  if (str_eq(method, EL_STR("POST")) && (str_eq(clean, EL_STR("/api/export")) || str_eq(clean, EL_STR("/export")))) {
-    return route_export(method, path, body);
-  }
   if (str_eq(method, EL_STR("POST")) && (str_eq(clean, EL_STR("/api/save")) || str_eq(clean, EL_STR("/save")))) {
-    return route_export(method, path, body);
+    return route_save(method, path, body);
   }
   if (str_eq(method, EL_STR("POST")) && (str_eq(clean, EL_STR("/api/load")) || str_eq(clean, EL_STR("/load")))) {
     return route_load(method, path, body);
   }
-  if (str_eq(method, EL_STR("POST")) && (str_eq(clean, EL_STR("/api/reindex")) || str_eq(clean, EL_STR("/reindex")))) {
-    return route_reindex(method, path, body);
-  }
-  if (str_starts_with(clean, EL_STR("/api/neuron/"))) {
-    if (str_eq(clean, EL_STR("/api/neuron/session/begin"))) {
-      return route_neuron_session_begin(method, path, body);
-    }
-    if (str_eq(clean, EL_STR("/api/neuron/ctx"))) {
-      return route_neuron_ctx(method, path, body);
-    }
-    if (str_eq(clean, EL_STR("/api/neuron/memory"))) {
-      return route_neuron_memory(method, path, body);
-    }
-    if (str_eq(clean, EL_STR("/api/neuron/knowledge/capture"))) {
-      return route_neuron_knowledge_capture(method, path, body);
-    }
-    if (str_eq(clean, EL_STR("/api/neuron/knowledge/evolve"))) {
-      return route_neuron_knowledge_evolve(method, path, body);
-    }
-    if (str_eq(clean, EL_STR("/api/neuron/knowledge/promote"))) {
-      return route_neuron_knowledge_promote(method, path, body);
-    }
-    if (str_eq(clean, EL_STR("/api/neuron/recall"))) {
-      return route_neuron_recall(method, path, body);
-    }
-    if (str_eq(clean, EL_STR("/api/neuron/graph/link"))) {
-      return route_neuron_graph_link(method, path, body);
-    }
-    if (str_eq(clean, EL_STR("/api/neuron/graph"))) {
-      return route_neuron_graph(method, path, body);
-    }
-    if (str_starts_with(clean, EL_STR("/api/neuron/list/"))) {
-      return route_neuron_list(method, path, body);
-    }
-    if (str_eq(clean, EL_STR("/api/neuron/consolidate"))) {
-      return route_neuron_consolidate(method, path, body);
-    }
-    if (str_eq(clean, EL_STR("/api/neuron/config"))) {
-      return route_neuron_config(method, path, body);
-    }
-    if (str_eq(clean, EL_STR("/api/neuron/state-events"))) {
-      return route_neuron_state_events(method, path, body);
-    }
-    if (str_eq(clean, EL_STR("/api/neuron/processes/define"))) {
-      return route_neuron_processes(method, path, body);
-    }
-    if (str_eq(clean, EL_STR("/api/neuron/processes"))) {
-      return route_neuron_processes(method, path, body);
-    }
-  }
-  if (str_eq(clean, EL_STR("/events/next"))) {
-    return route_events_next(method, path, body);
-  }
-  if (str_eq(clean, EL_STR("/events/ack"))) {
-    return route_events_ack(method, path, body);
-  }
   return el_str_concat(el_str_concat(EL_STR("{\"error\":\"not found\",\"path\":\""), clean), EL_STR("\"}"));
   return 0;
 }
@@ -1082,20 +362,9 @@ int main(int _argc, char** _argv) {
   if (str_eq(data_dir, EL_STR(""))) {
     data_dir = EL_STR("/tmp/engram");
   }
-  db_path = el_str_concat(data_dir, EL_STR("/engram.db"));
-  loaded = engram_load_binary_el(db_path);
-  if (!loaded) {
-    engram_load_dir(data_dir);
-    if (engram_node_count() == 0) {
-      el_val_t snapshot_path = el_str_concat(data_dir, EL_STR("/snapshot.json"));
-      engram_load(snapshot_path);
-    }
-    if (engram_node_count() > 0) {
-      engram_write_binary_el(db_path);
-      println(EL_STR("[engram] migrated legacy data to binary format"));
-    }
-  }
-  println(EL_STR("[engram] runtime-native graph engine (ML-KEM-1024 encrypted)"));
+  snapshot_path = el_str_concat(data_dir, EL_STR("/snapshot.json"));
+  engram_load(snapshot_path);
+  println(EL_STR("[engram] runtime-native graph engine"));
   println(el_str_concat(EL_STR("[engram] data_dir="), data_dir));
   println(el_str_concat(EL_STR("[engram] node_count="), int_to_str(engram_node_count())));
   println(el_str_concat(EL_STR("[engram] edge_count="), int_to_str(engram_edge_count())));

engram/src/server.el

@@ -6,297 +6,15 @@
 // database.
 //
 // Built and linked with:
-//   elc src/server.el > ../dist/engram.c
-//   cc -std=c11 -O2 \
-//     -I/Users/will/Development/neuron-technologies/foundation/el/lang/releases/v1.0.0-20260501 \
-//     -I/opt/homebrew/Cellar/liboqs/0.15.0/include \
-//     -I/opt/homebrew/opt/openssl@3/include \
-//     -L/opt/homebrew/Cellar/liboqs/0.15.0/lib \
-//     -L/opt/homebrew/opt/openssl@3/lib \
-//     -lcurl -lpthread -loqs -lssl -lcrypto \
-//     -o ../dist/engram ../dist/engram.c \
-//     /Users/will/Development/neuron-technologies/foundation/el/lang/releases/v1.0.0-20260501/el_runtime.c
-//   ./dist/engram
+//   elc src/server.el > server.c
+//   cc -std=c11 -O2 -lcurl -lpthread -o engram server.c el_runtime.c
+//   ./engram
 //
 // Configuration via environment:
 //   ENGRAM_BIND       — host:port (default :8742)
 //   ENGRAM_API_KEY    — bearer auth (optional)
 //   ENGRAM_DATA_DIR   — snapshot location (default ~/.neuron/engram)
 
-// ── BM25+ text ranking ────────────────────────────────────────────────────────
-//
-// Implements BM25+ (Lv & Zhai 2011) for in-process keyword search over the
-// engram node store. No external dependencies — pure EL, zero Ollama calls.
-//
-// Parameters: k1=1.2, b=0.75, delta=1.0
-//
-// V1 simplification: n(t) (number of docs containing term t) is approximated
-// as 1 for all terms. This collapses IDF to a constant per corpus size:
-//   IDF = ln((N - 1 + 0.5) / (1 + 0.5) + 1)  =  ln((N + 0.5) / 1.5 + 1)
-// Scoring effectively becomes TF-length-normalised BM25+ (delta term present).
-// Acceptable for V1; a real inverted index can replace this later.
-
-fn bm25_tokenize(text: String) -> String {
-    // Lowercase and strip punctuation (replace with spaces), then trim.
-    let t: String = str_to_lower(text)
-    let t = str_replace(t, ".", " ")
-    let t = str_replace(t, ",", " ")
-    let t = str_replace(t, "!", " ")
-    let t = str_replace(t, "?", " ")
-    let t = str_replace(t, "\"", " ")
-    let t = str_replace(t, ":", " ")
-    let t = str_replace(t, ";", " ")
-    let t = str_replace(t, "(", " ")
-    let t = str_replace(t, ")", " ")
-    let t = str_replace(t, "[", " ")
-    let t = str_replace(t, "]", " ")
-    let t = str_replace(t, "{", " ")
-    let t = str_replace(t, "}", " ")
-    let t = str_replace(t, "/", " ")
-    let t = str_replace(t, "\\", " ")
-    let t = str_replace(t, "'", " ")
-    let t = str_replace(t, "-", " ")
-    let t = str_replace(t, "_", " ")
-    let t = str_replace(t, "+", " ")
-    str_trim(t)
-}
-
-fn bm25_count_term(term: String, doc_tokens: String) -> Int {
-    // Pad with spaces to avoid prefix/suffix partial matches.
-    let padded_term: String = " " + term + " "
-    let padded_doc: String  = " " + doc_tokens + " "
-    str_count(padded_doc, padded_term)
-}
-
-fn bm25_score_doc(doc_content: String, query_tokens: String, corpus_size: Int, avg_doc_len: String) -> String {
-    // BM25+ parameters (stored as strings = float-encoded el_val_t from el_from_float)
-    // We use float_add/float_mul/float_div builtins to avoid EL operator issues.
-    // avg_doc_len is passed as a String slot holding an el_val_t float bit-pattern.
-    // (EL has no safe float-passing convention; we work around using str_to_float.)
-    //
-    // V1: n_t=1 for all terms. IDF = ln((N+0.5)/1.5 + 1) = constant per corpus.
-    // This collapses BM25+ to TF-length-normalised scoring — acceptable for V1.
-    let k1: Float = 1.2
-    let b: Float  = 0.75
-    let delta: Float = 1.0
-
-    let doc_tokens: String = bm25_tokenize(doc_content)
-    let doc_wc: Int = str_count_words(doc_tokens)
-    if doc_wc == 0 { return "0.0" }
-
-    let doc_len: Float = int_to_float(doc_wc)
-    let avg_len: Float = str_to_float(avg_doc_len)
-
-    // IDF constant
-    let N: Float = int_to_float(corpus_size)
-    // (N + 0.5) / 1.5 + 1.0
-    let idf_arg: Float = float_add(float_div(float_add(N, 1.2), 1.5), 1.0)
-    let idf: Float = math_log(idf_arg)
-
-    // Sum TF component over query terms
-    let terms: List = str_split(query_tokens, " ")
-    let n_terms: Int = len(terms)
-    let score: Float = 0.0
-    let i: Int = 0
-    while i < n_terms {
-        let term: String = get(terms, i)
-        let tlen: Int = str_len(term)
-        if tlen >= 2 {
-            let tf_count: Int = bm25_count_term(term, doc_tokens)
-            if tf_count > 0 {
-                let tf_raw: Float = int_to_float(tf_count)
-                // norm_factor = 1 - b + b * doc_len / avg_len
-                let norm_factor: Float = float_add(float_sub(1.0, b), float_div(float_mul(b, doc_len), avg_len))
-                // tf_comp = delta + tf * (k1+1) / (tf + k1*norm)
-                let numerator: Float = float_mul(tf_raw, float_add(k1, 1.0))
-                let denominator: Float = float_add(tf_raw, float_mul(k1, norm_factor))
-                let tf_comp: Float = float_add(delta, float_div(numerator, denominator))
-                let score = float_add(score, float_mul(idf, tf_comp))
-            }
-        }
-        let i = i + 1
-    }
-    // Return score as a string so it survives EL's lack of float-in-list support
-    float_to_str(score)
-}
-
-fn bm25_search_json(query: String, limit: Int) -> String {
-    // 1. Determine scan size: floor at 200 so small `limit` values still scan
-    // enough of the corpus to find relevant nodes.
-    // Cap raised from 500 → 5000 (2026-05-24 self-review): 500 was 0.3% of the
-    // 161K-node corpus. At 5000 we cover the top-3% by salience — still fast
-    // (pure C scan, no Ollama calls) and 10x better recall for content search.
-    // engram_scan_nodes_json returns nodes sorted by salience DESC, so ISEs
-    // (salience 0.3) naturally fall below Knowledge/Memory (0.5–0.8), keeping
-    // the effective search corpus content-dense.
-    let scan_limit: Int = limit * 10
-    if scan_limit < 200 { let scan_limit = 200 }
-    if scan_limit > 5000 { let scan_limit = 5000 }
-
-    // 2. Fetch node sample
-    let nodes_json: String = engram_scan_nodes_json(scan_limit, 0)
-    let n: Int = json_array_len(nodes_json)
-    if n == 0 { return "[]" }
-
-    // 3. Compute avg_doc_len from sample
-    let total_words: Int = 0
-    let i: Int = 0
-    while i < n {
-        let node: String = json_array_get(nodes_json, i)
-        let content: String = json_get_string(node, "content")
-        let tokens: String = bm25_tokenize(content)
-        let wc: Int = str_count_words(tokens)
-        let total_words = total_words + wc
-        let i = i + 1
-    }
-    // avg_doc_len as string for safe float passing
-    let avg_doc_len_f: Float = float_div(int_to_float(total_words), int_to_float(n))
-    let avg_doc_len: String = if float_gt(avg_doc_len_f, 0.0) { float_to_str(avg_doc_len_f) } else { "1.0" }
-
-    // 4. Tokenize query
-    let query_tokens: String = bm25_tokenize(query)
-    if str_eq(str_trim(query_tokens), "") { return "[]" }
-
-    // 5. Score each node; collect results as parallel JSON and score lists.
-    // Scores are stored as strings (float_to_str) to avoid float-in-list issues.
-    let result_nodes: List = 0
-    let result_scores: List = 0
-    let result_count: Int = 0
-    let j: Int = 0
-    while j < n {
-        let node: String = json_array_get(nodes_json, j)
-        let content: String = json_get_string(node, "content")
-        let sc_str: String = bm25_score_doc(content, query_tokens, n, avg_doc_len)
-        // Only include nodes with score > 0.0 (use float comparison, not string match —
-        // float_to_str(0.0) returns "0.000000", not "0.0").
-        if float_gt(str_to_float(sc_str), 0.0) {
-            let result_nodes = list_push(result_nodes, node)
-            let result_scores = list_push(result_scores, sc_str)
-            let result_count = result_count + 1
-        }
-        let j = j + 1
-    }
-
-    if result_count == 0 { return "[]" }
-
-    // 6. Selection-sort descending by score, take top `limit`
-    let out_limit: Int = if result_count < limit { result_count } else { limit }
-    let k: Int = 0
-    while k < out_limit {
-        // Find max score index in [k, result_count)
-        let max_idx: Int = k
-        let max_sc_str: String = get(result_scores, k)
-        let max_sc_f: Float = str_to_float(max_sc_str)
-        let p: Int = k + 1
-        while p < result_count {
-            let sc2_str: String = get(result_scores, p)
-            let sc2_f: Float = str_to_float(sc2_str)
-            if float_gt(sc2_f, max_sc_f) {
-                let max_sc_f = sc2_f
-                let max_sc_str = sc2_str
-                let max_idx = p
-            }
-            let p = p + 1
-        }
-        // Swap k <-> max_idx
-        if max_idx != k {
-            let tmp_node: String = get(result_nodes, k)
-            let tmp_sc: String   = get(result_scores, k)
-            let result_nodes  = list_set(result_nodes,  k,       get(result_nodes,  max_idx))
-            let result_scores = list_set(result_scores, k,       get(result_scores, max_idx))
-            let result_nodes  = list_set(result_nodes,  max_idx, tmp_node)
-            let result_scores = list_set(result_scores, max_idx, tmp_sc)
-        }
-        let k = k + 1
-    }
-
-    // 7. Build JSON array of top `out_limit` nodes with bm25_score field
-    let out: String = "["
-    let r: Int = 0
-    while r < out_limit {
-        let node: String = get(result_nodes, r)
-        let sc_str: String = get(result_scores, r)
-        // Inject bm25_score: trim the closing } and append field
-        let node_len: Int = str_len(node)
-        let node_body: String = str_slice(node, 0, node_len - 1)
-        let entry: String = node_body + ",\"bm25_score\":" + sc_str + "}"
-        if r > 0 { let out = out + "," }
-        let out = out + entry
-        let r = r + 1
-    }
-    out + "]"
-}
-
-// ── Auto-linking ─────────────────────────────────────────────────────────────
-//
-// auto_link_content_node — link a newly-created Knowledge or Memory node to
-// semantically related non-ISE nodes via BM25 search.
-//
-// Problem it solves: route_neuron_memory and route_neuron_knowledge_capture
-// both call engram_node_full directly, creating nodes with zero edges. With
-// 14K+ ISEs dominating the corpus, BFS traversal contributes nothing — every
-// query relies solely on lexical/semantic seed matching. Auto-linking builds
-// explicit "related" edges so activated knowledge nodes fan out to connected
-// neighbors during BFS.
-//
-// Design choices:
-//   - BM25 (not substring search): ranks by relevance, not just occurrence
-//   - Skip InternalStateEvent nodes: ISEs dominate the corpus and are not
-//     useful link targets for knowledge/memory nodes
-//   - Up to 3 edges per node: enough to build graph structure without over-linking
-//   - weight=0.6: moderately strong; causal edges (field-validated at 2.0) are
-//     much stronger, so these "related" edges don't flood activation paths
-//   - state_set for linked counter: EL `let` in nested if-blocks creates inner
-//     scope only; state_set persists across block boundaries (2026-05-25 lesson)
-//
-// (2026-05-28 self-review)
-fn auto_link_content_node(node_id: String, content: String) -> Int {
-    let clen: Int = str_len(content)
-    if clen < 20 { return 0 }
-
-    // Find search term: first word >= 5 chars, or second word.
-    let sp1: Int = str_index_of(content, " ")
-    let w1end: Int = if sp1 < 0 { clen } else { sp1 }
-    let word1: String = str_slice(content, 0, w1end)
-    state_set("aln_term", "")
-    if str_len(word1) >= 5 {
-        state_set("aln_term", word1)
-    }
-    if str_eq(state_get("aln_term"), "") {
-        if sp1 >= 0 {
-            let rest: String = str_slice(content, sp1 + 1, clen)
-            let sp2: Int = str_index_of(rest, " ")
-            let w2end: Int = if sp2 < 0 { str_len(rest) } else { sp2 }
-            let word2: String = str_slice(rest, 0, w2end)
-            if str_len(word2) >= 5 {
-                state_set("aln_term", word2)
-            }
-        }
-    }
-    let search_term: String = state_get("aln_term")
-    if str_eq(search_term, "") { return 0 }
-
-    // BM25 over top-20 results; skip ISE nodes; connect up to 3.
-    let results: String = bm25_search_json(search_term, 20)
-    let n: Int = json_array_len(results)
-    state_set("aln_linked", "0")
-    let i: Int = 0
-    while i < n {
-        let linked_so_far: Int = str_to_int(state_get("aln_linked"))
-        if linked_so_far < 3 {
-            let elem: String = json_array_get(results, i)
-            let rid: String = json_get_string(elem, "id")
-            let rtype: String = json_get_string(elem, "node_type")
-            if !str_eq(rtype, "InternalStateEvent") && !str_eq(rid, "") && !str_eq(rid, node_id) {
-                engram_connect(node_id, rid, 0.6, "related")
-                state_set("aln_linked", int_to_str(linked_so_far + 1))
-            }
-        }
-        let i = i + 1
-    }
-    return str_to_int(state_get("aln_linked"))
-}
-
 // ── Helpers ───────────────────────────────────────────────────────────────────
 
 fn parse_port(bind: String) -> Int {
@@ -365,13 +83,7 @@ fn route_create_node(method: String, path: String, body: String) -> String {
     let salience: Float = json_get_float(body, "salience")
     if salience == 0.0 { let salience = 0.5 }
     let id: String = engram_node(content, node_type, salience)
-
-    // Auto-link via BM25 search — reuse auto_link_content_node which skips
-    // ISE nodes and links to up to 3 semantically related non-ISE nodes.
-    // Replaces the old inline substring-search auto-link (2026-05-29 cleanup).
-    let auto_linked: Int = auto_link_content_node(id, content)
-
-    "{\"id\":\"" + id + "\",\"content\":\"" + content + "\",\"node_type\":\"" + node_type + "\",\"auto_linked\":" + int_to_str(auto_linked) + "}"
+    "{\"id\":\"" + id + "\",\"content\":\"" + content + "\",\"node_type\":\"" + node_type + "\"}"
 }
 
 fn route_get_node(method: String, path: String, body: String) -> String {
@@ -419,7 +131,7 @@ fn route_search(method: String, path: String, body: String) -> String {
     let limit: Int = query_int(path, "limit", 20)
     if limit == 0 { let limit = json_get_int(body, "limit") }
     if limit == 0 { let limit = 20 }
-    return bm25_search_json(q, limit)
+    return engram_search_json(q, limit)
 }
 
 fn route_activate(method: String, path: String, body: String) -> String {
@@ -433,17 +145,6 @@ fn route_activate(method: String, path: String, body: String) -> String {
         let bd: Int = json_get_int(body, "depth")
         if bd > 0 { let depth = bd }
     }
-    // BM25 pre-bias: strengthen top-10 BM25 results before spreading activation
-    // so semantically relevant nodes already have elevated salience.
-    let top: String = bm25_search_json(q, 10)
-    let nb: Int = json_array_len(top)
-    let bi: Int = 0
-    while bi < nb {
-        let node: String = json_array_get(top, bi)
-        let nid: String = json_get_string(node, "id")
-        if !str_eq(nid, "") { engram_strengthen(nid) }
-        let bi = bi + 1
-    }
     return "{\"results\":" + engram_activate_json(q, depth) + "}"
 }
 
@@ -479,41 +180,25 @@ fn route_forget(method: String, path: String, body: String) -> String {
     ok_json()
 }
 
-fn route_decay(method: String, path: String, body: String) -> String {
-    engram_apply_decay_json()
-}
-
-fn route_export(method: String, path: String, body: String) -> String {
-    let dir: String = env("ENGRAM_DATA_DIR")
-    if str_eq(dir, "") { let dir = "/tmp/engram" }
-    // Write binary checkpoint
-    let db_path: String = dir + "/engram.db"
-    engram_write_binary_el(db_path)
-    // Also write JSON export for human inspection
+fn route_save(method: String, path: String, body: String) -> String {
     let p: String = json_get_string(body, "path")
     if str_eq(p, "") {
+        let dir: String = env("ENGRAM_DATA_DIR")
+        if str_eq(dir, "") { let dir = "/tmp/engram" }
         let p = dir + "/snapshot.json"
     }
     engram_save(p)
-    "{\"ok\":true,\"binary\":\"" + db_path + "\",\"json\":\"" + p + "\"}"
-}
-
-fn route_reindex(method: String, path: String, body: String) -> String {
-    engram_reindex_json()
+    "{\"ok\":true,\"path\":\"" + p + "\"}"
 }
 
 fn route_load(method: String, path: String, body: String) -> String {
-    let dir: String = env("ENGRAM_DATA_DIR")
-    if str_eq(dir, "") { let dir = "/tmp/engram" }
-    let db_path: String = dir + "/engram.db"
-    let ok: Bool = engram_load_binary_el(db_path)
-    if !ok {
-        let p: String = json_get_string(body, "path")
-        if str_eq(p, "") {
-            let p = dir + "/snapshot.json"
-        }
-        engram_load(p)
+    let p: String = json_get_string(body, "path")
+    if str_eq(p, "") {
+        let dir: String = env("ENGRAM_DATA_DIR")
+        if str_eq(dir, "") { let dir = "/tmp/engram" }
+        let p = dir + "/snapshot.json"
     }
+    engram_load(p)
     ok_json()
 }
 
@@ -521,323 +206,6 @@ fn route_health(method: String, path: String, body: String) -> String {
     "{\"status\":\"ok\",\"engine\":\"engram-runtime-native\"}"
 }
 
-// ── /api/neuron/* Routes ──────────────────────────────────────────────────────
-
-// route_neuron_session_begin — activate with broad seeds, return node stats + results
-fn route_neuron_session_begin(method: String, path: String, body: String) -> String {
-    let results: String = engram_activate_json("memory knowledge context", 2)
-    let nc: Int = engram_node_count()
-    let ec: Int = engram_edge_count()
-    "{\"ok\":true,\"nodes\":" + results + ",\"node_count\":" + int_to_str(nc) + ",\"edge_count\":" + int_to_str(ec) + "}"
-}
-
-// route_neuron_ctx — compile working context from top activated nodes
-fn route_neuron_ctx(method: String, path: String, body: String) -> String {
-    let results: String = engram_activate_json("architecture decision memory", 2)
-    let n: Int = json_array_len(results)
-    let limit: Int = if n > 10 { 10 } else { n }
-    let ctx: String = "Recent working memory:\n"
-    let i: Int = 0
-    let ctx_body: String = ""
-    while i < limit {
-        let elem: String = json_array_get(results, i)
-        let label: String = json_get_string(elem, "label")
-        let content: String = json_get_string(elem, "content")
-        let clen: Int = str_len(content)
-        let snippet: String = if clen > 200 { str_slice(content, 0, 200) } else { content }
-        let ctx_body = ctx_body + "- [" + label + "]: " + snippet + "\n"
-        let i = i + 1
-    }
-    let full_ctx: String = ctx + ctx_body
-    "{\"ok\":true,\"context\":\"" + str_replace(str_replace(str_replace(full_ctx, "\\", "\\\\"), "\"", "\\\""), "\n", "\\n") + "\"}"
-}
-
-// route_neuron_memory — create a Memory node with importance-to-tier mapping
-fn route_neuron_memory(method: String, path: String, body: String) -> String {
-    let content: String = json_get_string(body, "content")
-    if str_eq(content, "") { return "{\"error\":\"content is required\"}" }
-    let node_type: String = json_get_string(body, "node_type")
-    if str_eq(node_type, "") { let node_type = "Memory" }
-    let label: String = json_get_string(body, "label")
-    let importance: String = json_get_string(body, "importance")
-    let project: String = json_get_string(body, "project")
-    let tags_raw: String = json_get_string(body, "tags")
-
-    // Map importance to tier
-    let tier: String = "Episodic"
-    if str_eq(importance, "critical") { let tier = "Procedural" }
-    if str_eq(importance, "high")     { let tier = "Semantic" }
-    if str_eq(importance, "normal")   { let tier = "Episodic" }
-    if str_eq(importance, "low")      { let tier = "Working" }
-
-    // Override with explicit tier if provided
-    let explicit_tier: String = json_get_string(body, "tier")
-    if !str_eq(explicit_tier, "") { let tier = explicit_tier }
-
-    // Build tags string — append project tag if set
-    let tags_str: String = tags_raw
-    if !str_eq(project, "") {
-        if str_eq(tags_str, "") {
-            let tags_str = "project:" + project
-        }
-        if !str_eq(tags_str, "") {
-            let tags_str = tags_str + " project:" + project
-        }
-    }
-
-    let id: String = engram_node_full(content, node_type, label, 0.5, 0.5, 1.0, tier, tags_str)
-
-    // Auto-link to related non-ISE nodes so this memory is reachable via BFS traversal.
-    // Without this, MCP-created nodes arrive with zero edges and are invisible to
-    // graph spread during activation (only lexical/semantic seed matching finds them).
-    let auto_linked: Int = auto_link_content_node(id, content)
-
-    // Checkpoint after write
-    let dir: String = env("ENGRAM_DATA_DIR")
-    if str_eq(dir, "") { let dir = "/tmp/engram" }
-    let db_path: String = dir + "/engram.db"
-    engram_write_binary_el(db_path)
-
-    "{\"ok\":true,\"id\":\"" + id + "\",\"auto_linked\":" + int_to_str(auto_linked) + ",\"content\":\"" + str_replace(str_replace(content, "\\", "\\\\"), "\"", "\\\"") + "\"}"
-}
-
-// route_neuron_knowledge_capture — create a Knowledge node
-fn route_neuron_knowledge_capture(method: String, path: String, body: String) -> String {
-    let content: String = json_get_string(body, "content")
-    if str_eq(content, "") { return "{\"error\":\"content is required\"}" }
-    let title: String = json_get_string(body, "title")
-    let category: String = json_get_string(body, "category")
-    let tags_raw: String = json_get_string(body, "tags")
-    let project: String = json_get_string(body, "project")
-    let tier_raw: String = json_get_string(body, "tier")
-
-    // Map tier name to engram tier
-    let tier: String = "Episodic"
-    if str_eq(tier_raw, "lesson")    { let tier = "Semantic" }
-    if str_eq(tier_raw, "canonical") { let tier = "Procedural" }
-    if str_eq(tier_raw, "note")      { let tier = "Episodic" }
-
-    // Build tags
-    let tags_str: String = tags_raw
-    if !str_eq(category, "") {
-        if str_eq(tags_str, "") {
-            let tags_str = "category:" + category
-        }
-        if !str_eq(tags_str, "") {
-            let tags_str = tags_str + " category:" + category
-        }
-    }
-    if !str_eq(project, "") {
-        if str_eq(tags_str, "") {
-            let tags_str = "project:" + project
-        }
-        if !str_eq(tags_str, "") {
-            let tags_str = tags_str + " project:" + project
-        }
-    }
-
-    let id: String = engram_node_full(content, "Knowledge", title, 0.7, 0.7, 1.0, tier, tags_str)
-
-    // Auto-link to related non-ISE nodes for BFS reachability (same rationale as route_neuron_memory).
-    let auto_linked: Int = auto_link_content_node(id, content)
-
-    // Checkpoint
-    let dir: String = env("ENGRAM_DATA_DIR")
-    if str_eq(dir, "") { let dir = "/tmp/engram" }
-    let db_path: String = dir + "/engram.db"
-    engram_write_binary_el(db_path)
-
-    "{\"ok\":true,\"id\":\"" + id + "\",\"auto_linked\":" + int_to_str(auto_linked) + "}"
-}
-
-// route_neuron_knowledge_evolve — create updated node (evolution via new node)
-fn route_neuron_knowledge_evolve(method: String, path: String, body: String) -> String {
-    let content: String = json_get_string(body, "content")
-    let prior_id: String = json_get_string(body, "id")
-    if str_eq(content, "") { return "{\"ok\":true}" }
-    let id: String = engram_node_full(content, "Knowledge", "", 0.7, 0.7, 1.0, "Semantic", "evolved")
-    if !str_eq(prior_id, "") && !str_eq(id, "") {
-        engram_connect(id, prior_id, 1.0, "supersedes")
-    }
-    let dir: String = env("ENGRAM_DATA_DIR")
-    if str_eq(dir, "") { let dir = "/tmp/engram" }
-    engram_write_binary_el(dir + "/engram.db")
-    "{\"ok\":true,\"id\":\"" + id + "\"}"
-}
-
-// route_neuron_knowledge_promote — promote a knowledge node to a higher tier.
-// Creates a new node with the promoted tier (same content) and connects
-// via a "supersedes" edge from new → old. Tier mapping:
-//   note/Episodic → lesson/Semantic → canonical/Procedural
-fn route_neuron_knowledge_promote(method: String, path: String, body: String) -> String {
-    let id: String = json_get_string(body, "id")
-    if str_eq(id, "") { return "{\"ok\":true}" }
-
-    // Read existing node
-    let node_json: String = engram_get_node_json(id)
-    if str_eq(node_json, "") { return err_json("node not found") }
-    if str_eq(node_json, "null") { return err_json("node not found") }
-
-    let content: String = json_get_string(node_json, "content")
-    if str_eq(content, "") { return err_json("node has no content") }
-    let label: String = json_get_string(node_json, "label")
-    let tags: String = json_get_string(node_json, "tags")
-    let current_tier: String = json_get_string(node_json, "tier")
-
-    // Determine target tier: explicit override or auto-promote one level
-    let tier_raw: String = json_get_string(body, "tier")
-    let new_tier: String = ""
-
-    // Explicit tier takes precedence
-    if str_eq(tier_raw, "lesson")    { let new_tier = "Semantic" }
-    if str_eq(tier_raw, "canonical") { let new_tier = "Procedural" }
-    if str_eq(tier_raw, "note")      { let new_tier = "Episodic" }
-
-    // Auto-promote one level if no explicit tier
-    if str_eq(new_tier, "") {
-        if str_eq(current_tier, "Working")    { let new_tier = "Episodic" }
-        if str_eq(current_tier, "Episodic")   { let new_tier = "Semantic" }
-        if str_eq(current_tier, "Semantic")   { let new_tier = "Procedural" }
-        if str_eq(current_tier, "Procedural") { let new_tier = "Procedural" }
-    }
-    if str_eq(new_tier, "") { let new_tier = "Semantic" }
-
-    // Create promoted node — higher importance (0.8) signals durable knowledge
-    let new_id: String = engram_node_full(content, "Knowledge", label, 0.7, 0.8, 1.0, new_tier, tags)
-
-    // Wire supersedes edge: new node supersedes old
-    if !str_eq(new_id, "") {
-        engram_connect(new_id, id, 1.0, "supersedes")
-    }
-
-    // Checkpoint
-    let dir: String = env("ENGRAM_DATA_DIR")
-    if str_eq(dir, "") { let dir = "/tmp/engram" }
-    engram_write_binary_el(dir + "/engram.db")
-
-    "{\"ok\":true,\"id\":\"" + new_id + "\",\"promoted_from\":\"" + id + "\",\"tier\":\"" + new_tier + "\"}"
-}
-
-// route_neuron_recall — search or list nodes
-fn route_neuron_recall(method: String, path: String, body: String) -> String {
-    let query: String = json_get_string(body, "query")
-    let chain: String = json_get_string(body, "chain_name")
-    let limit: Int = json_get_int(body, "limit")
-    if limit == 0 { let limit = 20 }
-    let q: String = if str_eq(query, "") { chain } else { query }
-    if str_eq(q, "") {
-        return engram_scan_nodes_json(limit, 0)
-    }
-    return bm25_search_json(q, limit)
-}
-
-// route_neuron_graph — get node + search-based neighbor approximation.
-// engram_neighbors_json crashes on large graphs (15k+ edges exceeds BFS cap).
-// Use a search-based approach instead: search by the node id string, which
-// returns connected nodes that share content with the target id in edges/tags.
-// For the mcp-wrapper callers this is sufficient — they just need the node itself.
-fn route_neuron_graph(method: String, path: String, body: String) -> String {
-    let id: String = query_param(path, "id")
-    if str_eq(id, "") { return "{\"error\":\"id is required\"}" }
-    let node_json: String = engram_get_node_json(id)
-    // Return node with empty neighbors — safe fallback avoids BFS crash
-    "{\"ok\":true,\"node\":" + node_json + ",\"neighbors\":[]}"
-}
-
-// route_neuron_graph_link — create edge between nodes
-fn route_neuron_graph_link(method: String, path: String, body: String) -> String {
-    let from_id: String = json_get_string(body, "from_id")
-    let to_id: String = json_get_string(body, "to_id")
-    if str_eq(from_id, "") || str_eq(to_id, "") {
-        return "{\"error\":\"from_id and to_id are required\"}"
-    }
-    let relation: String = json_get_string(body, "relation")
-    if str_eq(relation, "") { let relation = "related" }
-    let weight: Float = json_get_float(body, "weight")
-    if weight == 0.0 { let weight = 0.5 }
-    engram_connect(from_id, to_id, weight, relation)
-    "{\"ok\":true,\"from_id\":\"" + from_id + "\",\"to_id\":\"" + to_id + "\",\"relation\":\"" + relation + "\"}"
-}
-
-// route_neuron_list — list nodes by type extracted from path
-fn route_neuron_list(method: String, path: String, body: String) -> String {
-    let clean: String = strip_query(path)
-    let prefix: String = "/api/neuron/list/"
-    let node_type: String = str_slice(clean, str_len(prefix), str_len(clean))
-    let limit: Int = query_int(path, "limit", 50)
-    if str_eq(node_type, "") { return "[]" }
-    return engram_scan_nodes_by_type_json(node_type, limit, 0)
-}
-
-// route_neuron_consolidate — checkpoint and return counts
-fn route_neuron_consolidate(method: String, path: String, body: String) -> String {
-    let dir: String = env("ENGRAM_DATA_DIR")
-    if str_eq(dir, "") { let dir = "/tmp/engram" }
-    let db_path: String = dir + "/engram.db"
-    engram_write_binary_el(db_path)
-    let nc: Int = engram_node_count()
-    let ec: Int = engram_edge_count()
-    "{\"ok\":true,\"node_count\":" + int_to_str(nc) + ",\"edge_count\":" + int_to_str(ec) + "}"
-}
-
-// route_neuron_config — return stub config values
-fn route_neuron_config(method: String, path: String, body: String) -> String {
-    let key: String = query_param(path, "key")
-    "{\"key\":\"" + key + "\",\"value\":\"\"}"
-}
-
-// route_neuron_state_events — GET lists ISEs, POST logs a new one.
-// GET supports ?limit=N&offset=M for pagination; ?label=X to extract label
-// from the ISE content's "event" field.
-// ISEs sort by created_at DESC (most-recent-first) as of 2026-05-23 fix.
-// ?limit=10 returns the 10 most recent ISEs. Offset for pagination, not for
-// skipping to recent events (that was the pre-fix behavior; no longer needed).
-fn route_neuron_state_events(method: String, path: String, body: String) -> String {
-    if str_eq(method, "GET") {
-        let limit_str: String = query_param(path, "limit")
-        let limit: Int = if str_eq(limit_str, "") { 50 } else { str_to_int(limit_str) }
-        let offset_str: String = query_param(path, "offset")
-        let offset: Int = if str_eq(offset_str, "") { 0 } else { str_to_int(offset_str) }
-        return engram_scan_nodes_by_type_json("InternalStateEvent", limit, offset)
-    }
-    let content: String = json_get_string(body, "content")
-    if str_eq(content, "") { let content = body }
-    // Extract label from content JSON "event" field for better ISE searchability
-    let event_label: String = json_get_string(content, "event")
-    let label: String = if str_eq(event_label, "") { "state-event" } else { event_label }
-    let id: String = engram_node_full(content, "InternalStateEvent", label, 0.3, 0.3, 1.0, "Working", "internal-state")
-    "{\"ok\":true,\"id\":\"" + id + "\"}"
-}
-
-// route_neuron_processes — stub
-fn route_neuron_processes(method: String, path: String, body: String) -> String {
-    "{\"ok\":true,\"processes\":[]}"
-}
-
-// route_events_next — stub empty event queue
-fn route_events_next(method: String, path: String, body: String) -> String {
-    "{\"ok\":true,\"event\":null}"
-}
-
-// route_events_ack — stub ack
-fn route_events_ack(method: String, path: String, body: String) -> String {
-    "{\"ok\":true}"
-}
-
-fn route_bm25_search(method: String, path: String, body: String) -> String {
-    let q: String = ""
-    if str_eq(method, "GET") {
-        let q = query_param(path, "q")
-    } else {
-        let q = json_get_string(body, "query")
-    }
-    if str_eq(q, "") { return "{\"error\":\"query is required\"}" }
-    let limit: Int = query_int(path, "limit", 20)
-    if limit == 0 { let limit = json_get_int(body, "limit") }
-    if limit == 0 { let limit = 20 }
-    bm25_search_json(q, limit)
-}
-
 // ── Auth ──────────────────────────────────────────────────────────────────────
 
 fn check_auth_ok(method: String, body: String) -> Bool {
@@ -864,63 +232,6 @@ fn handle_request(method: String, path: String, body: String) -> String {
         }
     }
 
-    // /api/neuron/* and /events/* are pre-auth — the mcp-wrapper is a trusted
-    // local service that cannot inject _auth into its request bodies.
-    if str_starts_with(clean, "/api/neuron/") || str_starts_with(clean, "/events/") {
-        if str_eq(clean, "/api/neuron/session/begin") {
-            return route_neuron_session_begin(method, path, body)
-        }
-        if str_eq(clean, "/api/neuron/ctx") {
-            return route_neuron_ctx(method, path, body)
-        }
-        if str_eq(clean, "/api/neuron/memory") {
-            return route_neuron_memory(method, path, body)
-        }
-        if str_eq(clean, "/api/neuron/knowledge/capture") {
-            return route_neuron_knowledge_capture(method, path, body)
-        }
-        if str_eq(clean, "/api/neuron/knowledge/evolve") {
-            return route_neuron_knowledge_evolve(method, path, body)
-        }
-        if str_eq(clean, "/api/neuron/knowledge/promote") {
-            return route_neuron_knowledge_promote(method, path, body)
-        }
-        if str_eq(clean, "/api/neuron/recall") {
-            return route_neuron_recall(method, path, body)
-        }
-        if str_eq(clean, "/api/neuron/graph/link") {
-            return route_neuron_graph_link(method, path, body)
-        }
-        if str_eq(clean, "/api/neuron/graph") {
-            return route_neuron_graph(method, path, body)
-        }
-        if str_starts_with(clean, "/api/neuron/list/") {
-            return route_neuron_list(method, path, body)
-        }
-        if str_eq(clean, "/api/neuron/consolidate") {
-            return route_neuron_consolidate(method, path, body)
-        }
-        if str_eq(clean, "/api/neuron/config") {
-            return route_neuron_config(method, path, body)
-        }
-        if str_eq(clean, "/api/neuron/state-events") {
-            return route_neuron_state_events(method, path, body)
-        }
-        if str_eq(clean, "/api/neuron/processes/define") {
-            return route_neuron_processes(method, path, body)
-        }
-        if str_eq(clean, "/api/neuron/processes") {
-            return route_neuron_processes(method, path, body)
-        }
-        if str_eq(clean, "/events/next") {
-            return route_events_next(method, path, body)
-        }
-        if str_eq(clean, "/events/ack") {
-            return route_events_ack(method, path, body)
-        }
-        return err_json("not found")
-    }
-
     // Auth (when ENGRAM_API_KEY is set)
     if !check_auth_ok(method, body) {
         return err_json("unauthorized")
@@ -970,93 +281,18 @@ fn handle_request(method: String, path: String, body: String) -> String {
         return route_search(method, path, body)
     }
 
-    // BM25+ text ranking
-    if str_eq(clean, "/api/bm25/search") {
-        return route_bm25_search(method, path, body)
-    }
-
     // Strengthen
     if str_eq(method, "POST") && (str_eq(clean, "/api/strengthen") || str_eq(clean, "/strengthen")) {
         return route_strengthen(method, path, body)
     }
 
-    // Temporal decay maintenance
-    if str_eq(method, "POST") && (str_eq(clean, "/api/decay") || str_eq(clean, "/api/maintenance") || str_eq(clean, "/decay")) {
-        return route_decay(method, path, body)
-    }
-
     // Persistence
-    if str_eq(method, "POST") && (str_eq(clean, "/api/export") || str_eq(clean, "/export")) {
-        return route_export(method, path, body)
-    }
-    // /api/save is kept as a backward-compat alias for /api/export
     if str_eq(method, "POST") && (str_eq(clean, "/api/save") || str_eq(clean, "/save")) {
-        return route_export(method, path, body)
+        return route_save(method, path, body)
     }
     if str_eq(method, "POST") && (str_eq(clean, "/api/load") || str_eq(clean, "/load")) {
         return route_load(method, path, body)
     }
-    if str_eq(method, "POST") && (str_eq(clean, "/api/reindex") || str_eq(clean, "/reindex")) {
-        return route_reindex(method, path, body)
-    }
-
-    // ── /api/neuron/* ─────────────────────────────────────────────────────────
-    if str_starts_with(clean, "/api/neuron/") {
-        // Specific sub-paths first (longer matches before shorter)
-        if str_eq(clean, "/api/neuron/session/begin") {
-            return route_neuron_session_begin(method, path, body)
-        }
-        if str_eq(clean, "/api/neuron/ctx") {
-            return route_neuron_ctx(method, path, body)
-        }
-        if str_eq(clean, "/api/neuron/memory") {
-            return route_neuron_memory(method, path, body)
-        }
-        if str_eq(clean, "/api/neuron/knowledge/capture") {
-            return route_neuron_knowledge_capture(method, path, body)
-        }
-        if str_eq(clean, "/api/neuron/knowledge/evolve") {
-            return route_neuron_knowledge_evolve(method, path, body)
-        }
-        if str_eq(clean, "/api/neuron/knowledge/promote") {
-            return route_neuron_knowledge_promote(method, path, body)
-        }
-        if str_eq(clean, "/api/neuron/recall") {
-            return route_neuron_recall(method, path, body)
-        }
-        if str_eq(clean, "/api/neuron/graph/link") {
-            return route_neuron_graph_link(method, path, body)
-        }
-        if str_eq(clean, "/api/neuron/graph") {
-            return route_neuron_graph(method, path, body)
-        }
-        if str_starts_with(clean, "/api/neuron/list/") {
-            return route_neuron_list(method, path, body)
-        }
-        if str_eq(clean, "/api/neuron/consolidate") {
-            return route_neuron_consolidate(method, path, body)
-        }
-        if str_eq(clean, "/api/neuron/config") {
-            return route_neuron_config(method, path, body)
-        }
-        if str_eq(clean, "/api/neuron/state-events") {
-            return route_neuron_state_events(method, path, body)
-        }
-        if str_eq(clean, "/api/neuron/processes/define") {
-            return route_neuron_processes(method, path, body)
-        }
-        if str_eq(clean, "/api/neuron/processes") {
-            return route_neuron_processes(method, path, body)
-        }
-    }
-
-    // ── /events/* ─────────────────────────────────────────────────────────────
-    if str_eq(clean, "/events/next") {
-        return route_events_next(method, path, body)
-    }
-    if str_eq(clean, "/events/ack") {
-        return route_events_ack(method, path, body)
-    }
 
     "{\"error\":\"not found\",\"path\":\"" + clean + "\"}"
 }
@@ -1067,28 +303,13 @@ let bind_str: String = env("ENGRAM_BIND")
 if str_eq(bind_str, "") { let bind_str = ":8742" }
 let port: Int = parse_port(bind_str)
 
-// On startup, load from binary database (ML-KEM-1024 encrypted).
-// Falls back to per-file JSON, then snapshot.json for migration from older formats.
+// On startup, try to load any existing snapshot (best effort).
 let data_dir: String = env("ENGRAM_DATA_DIR")
 if str_eq(data_dir, "") { let data_dir = "/tmp/engram" }
-let db_path: String = data_dir + "/engram.db"
-let loaded: Bool = engram_load_binary_el(db_path)
-if !loaded {
-    // Migration path: try per-file JSON
-    engram_load_dir(data_dir)
-    if engram_node_count() == 0 {
-        // Final fallback: legacy snapshot.json
-        let snapshot_path: String = data_dir + "/snapshot.json"
-        engram_load(snapshot_path)
-    }
-    // If we loaded anything from legacy format, save as binary immediately
-    if engram_node_count() > 0 {
-        engram_write_binary_el(db_path)
-        println("[engram] migrated legacy data to binary format")
-    }
-}
+let snapshot_path: String = data_dir + "/snapshot.json"
+engram_load(snapshot_path)
 
-println("[engram] runtime-native graph engine (ML-KEM-1024 encrypted)")
+println("[engram] runtime-native graph engine")
 println("[engram] data_dir=" + data_dir)
 println("[engram] node_count=" + int_to_str(engram_node_count()))
 println("[engram] edge_count=" + int_to_str(engram_edge_count()))

lang/dist/platform/elc.c

@@ -4342,9 +4342,6 @@ el_val_t builtin_arity(el_val_t name) {
   if (str_eq(name, EL_STR("http_serve"))) {
     return 2;
   }
-  if (str_eq(name, EL_STR("http_serve_async"))) {
-    return 2;
-  }
   if (str_eq(name, EL_STR("http_set_handler"))) {
     return 1;
   }
@@ -4549,12 +4546,6 @@ el_val_t builtin_arity(el_val_t name) {
   if (str_eq(name, EL_STR("engram_load"))) {
     return 1;
   }
-  if (str_eq(name, EL_STR("engram_load_dir"))) {
-    return 1;
-  }
-  if (str_eq(name, EL_STR("engram_reindex_json"))) {
-    return 0;
-  }
   if (str_eq(name, EL_STR("engram_get_node_json"))) {
     return 1;
   }
@@ -4573,9 +4564,6 @@ el_val_t builtin_arity(el_val_t name) {
   if (str_eq(name, EL_STR("engram_stats_json"))) {
     return 0;
   }
-  if (str_eq(name, EL_STR("engram_apply_decay_json"))) {
-    return 0;
-  }
   if (str_eq(name, EL_STR("llm_call"))) {
     return 2;
   }

lang/el-compiler/runtime/el_platform_win.h

@@ -0,0 +1,117 @@
+#ifndef EL_PLATFORM_WIN_H
+#define EL_PLATFORM_WIN_H
+/*
+ * el_platform_win.h — Windows OS-boundary shim for el_runtime.c.
+ *
+ * Branch: feat/windows-el-runtime. Included ONLY when _WIN32 is defined; the POSIX build is
+ * untouched. Goal: let el_runtime.c (a BSD-sockets / dlfcn / fork host) compile and link with
+ * mingw-w64 into a native neuron.exe, with no behavioural change to the Linux/macOS build.
+ *
+ * What it maps:
+ *   - sockets  : winsock2 (same call names: socket/bind/listen/accept/recv/send/setsockopt).
+ *                Sockets close with closesocket() (see el_closesocket), and the stack must be
+ *                started once with WSAStartup — done automatically via a load-time constructor.
+ *   - dlsym    : el_runtime.c uses dlsym(RTLD_DEFAULT, name) to resolve callback/tool symbols
+ *                exported by the main module. Windows equivalent: GetProcAddress on the process
+ *                module. Link the soul with -Wl,--export-all-symbols so the symbols are findable.
+ *   - popen    : mapped to _popen/_pclose.
+ *   - threads  : UNCHANGED. mingw-w64 ships winpthreads, so <pthread.h> + -lpthread just work.
+ */
+
+#ifndef WIN32_LEAN_AND_MEAN
+#define WIN32_LEAN_AND_MEAN
+#endif
+#include <winsock2.h>
+#include <ws2tcpip.h>
+#include <windows.h>
+#include <io.h>
+#include <process.h>
+
+/* Portable headers mingw-w64 provides (verified present). */
+#include <stdarg.h>
+#include <stdint.h>
+#include <stdio.h>
+#include <stdlib.h>
+#include <string.h>
+#include <strings.h>   /* strcasecmp */
+#include <ctype.h>
+#include <math.h>
+#include <time.h>
+#include <sys/time.h>  /* mingw-w64 provides gettimeofday here */
+#include <sys/types.h>
+#include <sys/stat.h>
+#include <fcntl.h>
+#include <dirent.h>
+#include <errno.h>
+#include <pthread.h>
+
+/* ── socket close ─────────────────────────────────────────────────────────── */
+/* Winsock closes sockets with closesocket(), not close() (close() is for file fds). The POSIX
+   build defines the same helper as close() so the call sites are identical across platforms. */
+static inline int el_closesocket(SOCKET s) { return closesocket(s); }
+
+/* ── winsock init (once, at load) ─────────────────────────────────────────── */
+static void el__win_net_init(void) {
+    static int inited = 0;
+    if (!inited) { WSADATA w; WSAStartup(MAKEWORD(2, 2), &w); inited = 1; }
+}
+__attribute__((constructor)) static void el__win_ctor(void) { el__win_net_init(); }
+
+/* ── dlsym → GetProcAddress ───────────────────────────────────────────────── */
+#ifndef RTLD_DEFAULT
+#define RTLD_DEFAULT ((void*)0)
+#endif
+static inline void* el_win_dlsym(void* handle, const char* name) {
+    (void)handle;
+    return (void*)(uintptr_t)GetProcAddress(GetModuleHandleA(NULL), name);
+}
+#define dlsym(h, n) el_win_dlsym((h), (n))
+
+/* ── popen / pclose ───────────────────────────────────────────────────────── */
+#define popen  _popen
+#define pclose _pclose
+
+/* ── misc POSIX → Win32 shims ─────────────────────────────────────────────── */
+#include <direct.h>            /* _mkdir */
+#define mkdir(path, mode) _mkdir(path)     /* POSIX mkdir(path,mode) → _mkdir(path) */
+#define timegm _mkgmtime                   /* UTC tm → time_t */
+
+/* setenv/unsetenv: not in the Windows CRT; map to _putenv_s / SetEnvironmentVariable. */
+static inline int setenv(const char* name, const char* value, int overwrite) {
+    (void)overwrite;
+    return _putenv_s(name, value ? value : "");
+}
+static inline int unsetenv(const char* name) {
+    /* _putenv_s(name, "") sets VAR="" rather than removing it.
+     * SetEnvironmentVariableA(name, NULL) truly deletes it from the Win32
+     * env block; then we sync the CRT cache with _putenv("NAME=").       */
+    SetEnvironmentVariableA(name, NULL);
+    size_t len = strlen(name);
+    char *buf = (char*)malloc(len + 2);
+    if (!buf) return -1;
+    memcpy(buf, name, len);
+    buf[len] = '=';
+    buf[len + 1] = '\0';
+    _putenv(buf);
+    free(buf);
+    return 0;
+}
+
+/* nanosleep — not available in MSVC/UCRT; approximate with Sleep(). */
+static inline int el_nanosleep(const struct timespec *req, struct timespec *rem) {
+    (void)rem;
+    DWORD ms = (DWORD)((req->tv_sec * 1000ULL) + (req->tv_nsec / 1000000ULL));
+    Sleep(ms ? ms : 1);
+    return 0;
+}
+#define nanosleep(req, rem) el_nanosleep((req), (rem))
+
+/* localtime_r/gmtime_r: Windows offers localtime_s/gmtime_s with reversed arg order. */
+static inline struct tm* localtime_r(const time_t* t, struct tm* out) {
+    return localtime_s(out, t) == 0 ? out : (struct tm*)0;
+}
+static inline struct tm* gmtime_r(const time_t* t, struct tm* out) {
+    return gmtime_s(out, t) == 0 ? out : (struct tm*)0;
+}
+
+#endif /* EL_PLATFORM_WIN_H */

lang/el-compiler/runtime/el_runtime.h

@@ -52,6 +52,12 @@
 
 typedef int64_t el_val_t;
 
+/* HTTP request-handler function-pointer types. Public because soul modules (routes/chat/etc.)
+ * register handlers across translation units; previously defined only inside el_runtime.c, which
+ * made cross-module references (and the Windows build) fail. Home in the shared header. */
+typedef el_val_t (*http_handler_fn)(el_val_t method, el_val_t path, el_val_t body);
+typedef el_val_t (*http_handler4_fn)(el_val_t method, el_val_t path, el_val_t body, el_val_t headers);
+
 #define EL_STR(s)  ((el_val_t)(uintptr_t)(s))
 #define EL_CSTR(v) ((const char*)(uintptr_t)(v))
 #define EL_INT(v)  (v)
@@ -176,6 +182,7 @@ el_val_t  http_set_handler(el_val_t name);
  * existing handlers (e.g. products/web/server.el): it dispatches with
  * (method, path, body), hardcodes 200 OK, and auto-detects content type. */
 el_val_t  http_serve_v2(el_val_t port, el_val_t handler);
+void      http_serve_async(el_val_t port, el_val_t handler);
 el_val_t  http_set_handler_v2(el_val_t name);
 
 /* Build an HTTP response envelope. `headers_json` should be a JSON object
@@ -638,6 +645,12 @@ el_val_t  engram_list_layers_json(void);
  * no nodes promoted to working memory. */
 el_val_t  engram_compile_layered_json(el_val_t intent, el_val_t depth);
 
+/* ── Working memory ──────────────────────────────────────────────────────────*/
+el_val_t  engram_wm_count(void);
+el_val_t  engram_wm_avg_weight(void);
+el_val_t  engram_wm_top_json(el_val_t n);
+el_val_t  engram_load_merge(el_val_t path);
+
 /* ── LLM (Anthropic API client) ─────────────────────────────────────────────
  * All functions call https://api.anthropic.com/v1/messages with the API key
  * from env ANTHROPIC_API_KEY. Default model when empty: claude-sonnet-4-5. */

lang/el-compiler/src/codegen.el

@@ -2502,7 +2502,6 @@ fn builtin_arity(name: String) -> Int {
     if str_eq(name, "http_post_with_headers") { return 3 }
     if str_eq(name, "http_post_form_auth") { return 3 }
     if str_eq(name, "http_serve") { return 2 }
-    if str_eq(name, "http_serve_async") { return 2 }
     if str_eq(name, "http_set_handler") { return 1 }
     // Seed primitives (__-prefix) — runtime/el_seed.c
     if str_eq(name, "__str_len") { return 1 }

lang/elb.el

@@ -283,12 +283,6 @@ fn compile_module(src_path: String, out_dir: String, elc_bin: String, dry_run: B
     }
     exec_command("rm -f " + err_tmp)
 
-    // Strip capability-violation guard #error lines injected by elc when a
-    // module is compiled in isolation (utility context).  These are safe to
-    // remove here: the entire binary is linked under the CGI entry-point
-    // declaration in soul.el, so the module-level guard is redundant.
-    exec_command("sed -i.bak '/^#error \"capability violation/d' " + c_out + " && rm -f " + c_out + ".bak")
-
     // Move the generated .elh (written next to the source by elc) into
     // out_dir so that #include "module.elh" lines in the generated .c
     // files resolve correctly when cc is invoked with -I <out_dir>.
@@ -311,10 +305,6 @@ fn link_binary(c_files: [String], out_bin: String, runtime_path: String, out_dir
     // prefix and add it if present (no-op on Linux where libssl is in /usr/lib).
     let ossl_lib_flag: String = "$(brew --prefix openssl 2>/dev/null | xargs -I{} printf -- '-L{}/lib' 2>/dev/null || true)"
     let ossl_inc_flag: String = "$(brew --prefix openssl 2>/dev/null | xargs -I{} printf -- '-I{}/include' 2>/dev/null || true)"
-    // liboqs (post-quantum crypto) — present on macOS dev machines, not on CI
-    // Linux containers.  Link -loqs only when the library is available.
-    let oqs_lib_flag: String = "$(brew --prefix liboqs 2>/dev/null | xargs -I{} printf -- '-L{}/lib -loqs' 2>/dev/null || true)"
-    let oqs_inc_flag: String = "$(brew --prefix liboqs 2>/dev/null | xargs -I{} printf -- '-I{}/include' 2>/dev/null || true)"
     // Force-include the C-level master declarations header so every translation
     // unit sees all cross-module function signatures. Handles packages (like ELP)
     // where modules call each other without explicit El import statements.
@@ -322,7 +312,7 @@ fn link_binary(c_files: [String], out_bin: String, runtime_path: String, out_dir
     let master_decls: String = out_dir + "/elp-c-decls.h"
     let has_master: String = str_trim(exec_capture("test -f " + master_decls + " && echo yes || echo no"))
     let include_flag: String = if str_eq(has_master, "yes") { "-include " + master_decls } else { "" }
-    let parts = native_list_append(parts, "cc -O2 -DHAVE_CURL " + bracket_flag + " " + ossl_inc_flag + " " + oqs_inc_flag + " " + include_flag + " -I " + dirname_of(runtime_path) + " -I " + out_dir)
+    let parts = native_list_append(parts, "cc -O2 " + bracket_flag + " " + ossl_inc_flag + " " + include_flag + " -I " + dirname_of(runtime_path) + " -I " + out_dir)
     let i = 0
     while i < n {
         let f: String = native_list_get(c_files, i)
@@ -330,7 +320,7 @@ fn link_binary(c_files: [String], out_bin: String, runtime_path: String, out_dir
         let i = i + 1
     }
     let parts = native_list_append(parts, runtime_path)
-    let parts = native_list_append(parts, ossl_lib_flag + " " + oqs_lib_flag + " -lcurl -lssl -lcrypto -lpthread -lm")
+    let parts = native_list_append(parts, ossl_lib_flag + " -lcurl -lssl -lcrypto -lpthread -lm")
     let parts = native_list_append(parts, "-o " + out_bin)
     let cmd: String = str_join(parts, " ")
     println("  link     " + out_bin)
@@ -442,23 +432,18 @@ fn main() -> Void {
         exit(1)
     }
 
-    // Link — use only the entry-point .c file (which elc compiles as a
-    // monolithic unit, inlining all imports).  Linking all module .c files
-    // together causes duplicate-symbol errors because each module's .c also
-    // inlines its full import tree.
-    let entry_c: String = out_dir + "/" + basename_noext(entry) + ".c"
-    let link_files: [String] = native_list_empty()
-    let link_files = native_list_append(link_files, entry_c)
     // Append any extra C sources declared in the manifest (e.g. platform stubs)
     let ei = 0
     let en: Int = native_list_len(extra_c)
     while ei < en {
         let ec: String = native_list_get(extra_c, ei)
-        let link_files = native_list_append(link_files, ec)
+        let c_files = native_list_append(c_files, ec)
         let ei = ei + 1
     }
+
+    // Link
     let out_bin: String = out_dir + "/" + pkg_name
-    let linked: Bool = link_binary(link_files, out_bin, runtime_path, out_dir, dry_run)
+    let linked: Bool = link_binary(c_files, out_bin, runtime_path, out_dir, dry_run)
     if !linked {
         println("elb: link failed")
         exit(1)

lang/releases/v1.0.0-20260501/.clangd

@@ -1,5 +0,0 @@
-CompileFlags:
-  Add:
-    - -I/opt/homebrew/Cellar/liboqs/0.15.0/include
-    - -I/opt/homebrew/opt/openssl@3/include
-    - -std=c11

lang/releases/v1.0.0-20260501/el_runtime.h

@@ -143,7 +143,6 @@ el_val_t  http_post_with_headers(el_val_t url, el_val_t body, el_val_t headers_m
 el_val_t  http_post_form_auth(el_val_t url, el_val_t form_body, el_val_t auth_header);
 el_val_t  http_delete(el_val_t url);
 void      http_serve(el_val_t port, el_val_t handler);
-void      http_serve_async(el_val_t port, el_val_t handler);
 void      http_set_handler(el_val_t name);
 
 /* HTTP server v2 ─────────────────────────────────────────────────────────────
@@ -430,22 +429,10 @@ el_val_t  str_to_float(el_val_t s);
 el_val_t  math_sqrt(el_val_t f);
 el_val_t  math_log(el_val_t f);
 el_val_t  math_ln(el_val_t f);
-el_val_t  math_exp(el_val_t f);
 el_val_t  math_sin(el_val_t f);
 el_val_t  math_cos(el_val_t f);
 el_val_t  math_pi(void);
 
-/* ── Float arithmetic builtins (correct IEEE 754 via bit-cast round-trip) ─── */
-el_val_t  float_add(el_val_t a, el_val_t b);
-el_val_t  float_sub(el_val_t a, el_val_t b);
-el_val_t  float_mul(el_val_t a, el_val_t b);
-el_val_t  float_div(el_val_t a, el_val_t b);
-el_val_t  float_gt(el_val_t a, el_val_t b);
-el_val_t  float_lt(el_val_t a, el_val_t b);
-el_val_t  float_eq(el_val_t a, el_val_t b);
-el_val_t  float_gte(el_val_t a, el_val_t b);
-el_val_t  float_lte(el_val_t a, el_val_t b);
-
 /* ── String additions ────────────────────────────────────────────────────── */
 
 el_val_t  str_index_of(el_val_t s, el_val_t sub);
@@ -505,7 +492,6 @@ el_val_t  str_join(el_val_t list, el_val_t sep);            /* alias of list_joi
 
 el_val_t  list_push(el_val_t list, el_val_t elem);
 el_val_t  list_push_front(el_val_t list, el_val_t elem);
-el_val_t  list_set(el_val_t list, el_val_t index, el_val_t value);
 el_val_t  list_join(el_val_t list, el_val_t sep);
 el_val_t  list_range(el_val_t start, el_val_t end);
 
@@ -603,10 +589,6 @@ el_val_t  engram_edge_count(void);
 el_val_t  engram_activate(el_val_t query, el_val_t depth);
 el_val_t  engram_save(el_val_t path);
 el_val_t  engram_load(el_val_t path);
-el_val_t  engram_load_dir(el_val_t data_dir);
-el_val_t  engram_reindex_json(void);
-el_val_t  engram_write_binary_el(el_val_t path);
-el_val_t  engram_load_binary_el(el_val_t path);
 
 /* JSON-string accessors — return pre-serialized JSON so HTTP handlers
  * can pass results straight through without round-tripping ElList/ElMap
@@ -618,10 +600,6 @@ el_val_t  engram_scan_nodes_by_type_json(el_val_t node_type, el_val_t limit, el_
 el_val_t  engram_neighbors_json(el_val_t node_id, el_val_t max_depth, el_val_t direction);
 el_val_t  engram_activate_json(el_val_t query, el_val_t depth);
 el_val_t  engram_stats_json(void);
-el_val_t  engram_wm_count(void);
-el_val_t  engram_wm_avg_weight(void);  /* avg wm weight of promoted nodes; float bits */
-el_val_t  engram_wm_top_json(el_val_t n);  /* top-N WM nodes by weight as compact JSON */
-el_val_t  engram_apply_decay_json(void);
 el_val_t  engram_list_layers_json(void);
 /* engram_compile_layered_json — produce a prompt-ready text block split
  * into "[LAYER 0 — STRUCTURAL]" (non-suppressible layers, sacred fire)

lang/runtime/engram.el

@@ -6,15 +6,55 @@
 //
 // Dependencies: runtime/string.el, runtime/json.el
 
+// --- Validation (defense in depth) ---
+// el_val_t is an untyped machine word, so a wrong TYPE can't be caught here — but a
+// wrong VALUE can (a tier in the node_type slot, an empty/garbage string, an int, a
+// path, a model name, a cgi id). Reject loudly instead of silently writing junk.
+
+fn engram_valid_node_type(t: String) -> Bool {
+    return str_eq(t, "Memory") || str_eq(t, "Knowledge") || str_eq(t, "Belief")
+        || str_eq(t, "Project") || str_eq(t, "Tag") || str_eq(t, "BacklogItem")
+        || str_eq(t, "Artifact") || str_eq(t, "Conversation") || str_eq(t, "ExecutionContext")
+        || str_eq(t, "InternalStateEvent") || str_eq(t, "Self") || str_eq(t, "Entity")
+        || str_eq(t, "Process") || str_eq(t, "ConfigEntry") || str_eq(t, "Concept") || str_eq(t, "Imprint")
+        || str_eq(t, "SessionSummary")
+}
+
+fn engram_valid_tier(t: String) -> Bool {
+    return str_eq(t, "Semantic") || str_eq(t, "Episodic") || str_eq(t, "Working")
+        || str_eq(t, "Procedural") || str_eq(t, "Canonical") || str_eq(t, "Note") || str_eq(t, "Lesson")
+}
+
 // --- Node creation ---
 
 fn engram_node(content: String, node_type: String, salience: Float) -> String {
+    if !engram_valid_node_type(node_type) {
+        __println("[engram] REJECTED node write — invalid node_type '" + node_type + "'")
+        return ""
+    }
     return __engram_node(content, node_type, salience)
 }
 
-fn engram_node_full(content: String, nt: String, sal: Float, imp: Float,
-                    source: String, lang: String, ts: Int, tags: String) -> String {
-    return __engram_node_full(content, nt, sal, imp, source, lang, ts, tags)
+// Signature MUST match the C primitive __engram_node_full exactly (el_seed.h):
+//   (content, node_type, label, salience, importance, confidence, tier, tags)
+// The previous wrapper declared a stale 8-arg schema with wrong names AND types
+// (sal:Float at the label slot, ts:Int at the tier slot). Because el_val_t is an
+// untyped machine word, the EL compiler coerced caller args to those wrong param
+// types and then forwarded them BY POSITION into the C function — so tier received
+// an int, importance/confidence received strings, label received a float, etc.
+// That is the field-corruption bug. Match the 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 {
+    if !engram_valid_node_type(node_type) {
+        __println("[engram] REJECTED node write — invalid node_type '" + node_type + "' (label=" + label + ")")
+        return ""
+    }
+    if !engram_valid_tier(tier) {
+        __println("[engram] REJECTED node write — invalid tier '" + tier + "' (node_type=" + node_type + ", label=" + label + ")")
+        return ""
+    }
+    return __engram_node_full(content, node_type, label, salience, importance, confidence, tier, tags)
 }
 
 // --- Node retrieval ---