elb runs elc which consumes 24GB+ virtual memory on the 16GB GCE runner,
OOM-killing the runner process and crashing the VM. We already restore the
repo's pre-built soul.c immediately after elb runs, so elb's output is
discarded anyway. Skip elb entirely: download only the El runtime headers
and compile dist/soul.c directly.
Root cause: runner VM was unresponsive for 7+ weeks due to repeated elc
OOM kills. VM was manually reset 2026-06-28 to restore CI.
Merge pull request fix(mcp-wrapper): planWork creates a real BacklogItem; reviewBacklog lists by type (#59) from fix/wrapper-backlog-endpoints into main
planWork fell through create_typed_node to a generic /api/neuron/memory write — a [BacklogItem]-prefixed
memory blob with title/project/priority DROPPED, never a real BacklogItem. reviewBacklog used a lexical
/recall (top-50, untyped). Now: planWork -> /api/neuron/node/create {node_type:BacklogItem,...} via new
create_node_typed; reviewBacklog -> list_typed('BacklogItem') (GET /api/neuron/list/BacklogItem). elc-clean.
Depends on neuron PR #58 (the list/<type> slice fix) to round-trip; needs the wrapper binary rebuilt +
:7779 restarted to take effect.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
str_slice(clean, 16, ...) left a leading slash on node_type ('/BacklogItem'), so
engram_scan_nodes_by_type_json matched nothing and list/<type> returned [] for EVERY type — silently
breaking backlog + typed-node listing across the app and MCP tools (reviewBacklog). Proven live: the
literal-scan endpoint /api/neuron/knowledge returns nodes; /api/neuron/list/Knowledge returned []. elc-clean.
NOTE: soul-core — needs dist/soul.c regen (Will); rides the same rebuild as #56/#57.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Adds /api/connectors/call -> connectd /mcp/call, so the app can invoke a connector tool (e.g. WhatsApp
get_pairing_qr / get_login_status for the pairing UI) through the soul, keeping app->soul->connectd
intact (UI never hits connectd directly) and working for future remote/hosted clients. elc-clean.
NOTE: soul-core change — needs dist/soul.c regen (Will), can ride the same rebuild as PR #56.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
handle_chat_agentic now reads body image + image_media_type and, when present, sends the current
user turn as an Anthropic content-block array [{text},{image}] instead of a plain string — so the
model sees raw pixels alongside memory, history, and tools (parity with the CLI). Additive: no image
=> output byte-identical to before. elc-clean. Pairs with neuron-ui fix/chat-vision-attachments.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
neuron.c and routes.c were compiled against the old 1-arg soul interface.
chat.c already uses the 2-arg signature. The Windows cross-compile build
generates elp-c-decls.h from all dist/*.c files, causing a conflicting-types
error when both signatures appear. Recompile these modules against the
current soul API to eliminate the conflict.
Linked against dev runtime with is_knowledge fix that adds Knowledge
node type. Engram goal_bias now gives Knowledge nodes +0.3 boost on
technical queries, consistent with how Belief/DharmaSelf/Safety nodes
are already treated. Same el_runtime source as concurrent foundation/el
commit 16d62bd.
All 8 session_preload node accesses (3 profile, 2 work, 2 project, 1
summary) now check id_in_seen(node_id, seen_ids) before including
content. seen_ids is populated by engram_compile via state and covers
all nodes already in the activation+search context block. Prevents
high-salience nodes from appearing twice in the system prompt.
Issue 1 (CRITICAL): Restore parse_float_x100 for correct single-decimal
float handling. "0.9" now correctly yields 90, not 9. Also restores
engram_numeric_valid guard that validates inputs before str_to_int.
Issue 2 (CRITICAL): Fix handle_chat_agentic safety screen history key
regression. state_get("conversation_history") -> state_get("conv_history")
so the safety screen receives actual history instead of always "".
Issue 3 (REAL BUG): Replace _sel_N JSON sentinel injection in
engram_compile_ranked with |N| index string tracking. Sentinels were
leaking into node JSON delivered to the LLM and cleanup only covered
indices 0-14, leaving indices 15+ uncleaned.
Issue 4 (REGRESSION): Restore rendered conversation history formatting.
Conversation history is now rendered as "User: .../Assistant: ..." with
400-char truncation per turn, not raw JSON array injection.
Issue 5 (SCOPE/SAFETY): Restore removed defensive code: engram_numeric_valid
and parse_float_x100 guards; conv_history_load label-based fetch + partial-
write guard + load-failure state flag; conv_history_persist partial-write
guard + failure logging; hist_warning in response envelope.
Issue 6 (UNDOCUMENTED): Restore bell event cutoff from 259200s (3 days)
back to 1209600s (14 days). Also restore PositiveEvent affective context
search that was removed alongside the cutoff change.
Issue 7 (LOGIC REGRESSION): Fix affective_prefix to run every turn
(not just hist_len == 0). The care/joy directives must persist throughout
the session, not vanish after turn 1.
Issue 8 (MINOR): session_summary_write_dated now uses el_from_float(0.85)
for salience and importance (two-decimal) to avoid any ambiguity in float
parsing, and the function is re-added with the session-end hook.
Two design bugs in the state_set placement caused the dedup seen-ID set
to be incomplete even with callsites wired up:
1. state_set("engram_compile_seen_ids") was called immediately after
merging the main node pools, before scan_part (persona fallback) and
affective_part (bell node) were computed. Nodes appearing only in
those segments were never added to the seen set.
2. affective_part is a bare JSON object (bn0 from json_array_get), not
a JSON array. Passing it to engram_extract_ids would have gotten
json_array_len == 0 and silently skipped the affective node's ID.
Fix: move state_set to after ctx is assembled from all three segments.
Extract ids_from_merged and ids_from_scan via engram_extract_ids (both
are JSON arrays), and extract ids_from_affective via json_get(affective_part, "id")
directly since it is a bare object. Merge all three via add_to_seen
before publishing to state.
Thread a seen-node-ID exclusion set from engram_compile() through to
session_preload in handle_chat, preventing the same high-salience nodes
(identity, recent memories) from appearing 2-3x in the system prompt.
Changes:
- Add id_in_seen(), add_to_seen(), engram_extract_ids() helpers that
maintain a comma-delimited seen-ID accumulator (EL has no Set type)
- In engram_compile(): after merging all topic/entity/recall pools, extract
node IDs from merged_nodes and publish via state_set(engram_compile_seen_ids)
- In handle_chat(): read seen_ids from state after engram_compile() returns,
then check id_in_seen() before emitting each session_preload bullet
(profile x3, work x2, project x2, summary x1 — all 8 candidate nodes guarded)
Nodes already present in the compiled engram context are skipped in preload,
eliminating 3000-3500 token repetition on first-message turns.
engram_compile() already published seen node IDs to state via engram_compile_seen_ids
but handle_chat never read or applied them. Wire up the consumption side:
- Read engram_compile_seen_ids from state after engram_compile() returns
- Check each session_preload candidate node (profile x3, work x2, project x2,
summary x3) against id_in_seen() before emitting its content bullet
- Nodes already present in the compiled engram context are skipped entirely,
preventing the same high-salience identity/memory nodes from appearing 2-3x
in the system prompt and burning 3000-3500 tokens on repetition
- Add engram_render_node/render_nodes/dedup_nodes helpers for human-readable
prose bullet output instead of raw JSON node objects reaching the LLM
- Fix engram_compile_ranked to use |N| index sentinel instead of _sel_N JSON
mutation which leaked sentinel fields into LLM-visible node data (Issue #11)
- Update build_system_prompt with chat_mode param; no_tools_rule only included
for chat path, not agentic paths (Issue #9)
- Move engram block to end of system prompt for strongest LLM attention (Issue #8)
- Label sections: STABLE IDENTITY vs RETRIEVED MEMORY (Issue #10)
- Render conversation history as User:/Assistant: dialogue instead of raw JSON
- Add RETRIEVED MEMORY labels to agentic and dharma room system prompt assembly
- Cache bell node in engram_compile state (engram_compile_bell_node)
so handle_chat reads cached value instead of duplicate bell query (Issue 2)
- Cache activation result (engram_compile_activation_json) for strengthen_chat_nodes
reuse — eliminates third activation query per turn (Issue 7)
- Fix context cap to truncate at clean JSON object boundary (Issue 6)
- Cache bell node result in engram_compile state (engram_compile_bell_node)
so handle_chat affective_prefix reads the cached value instead of firing
a duplicate engram query for distress signals (Issue 2)
- Cache primary activation result in engram_compile state
(engram_compile_activation_json) using nodes0 from engram_compile_multi
- Replace redundant engram_activate_json(message, 2) in strengthen_chat_nodes
with state_get(engram_compile_activation_json) - eliminates a third
activation query per turn (Issue 7)
- engram_compile already has object-boundary truncation and cross-set
dedup via engram_nodes_merge/engram_dedup_nodes (Issues 1, 6, 9)
will.anderson
Tim Lingo