Add semantic memory skill with LanceDB + Gemini embeddings#1013
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5queezer wants to merge 3 commits intoqwibitai:mainfrom
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Add semantic memory skill with LanceDB + Gemini embeddings#10135queezer wants to merge 3 commits intoqwibitai:mainfrom
5queezer wants to merge 3 commits intoqwibitai:mainfrom
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Adds persistent semantic memory to container agents via 4 MCP tools (memory_store, memory_search, memory_delete, memory_count). Uses LanceDB for vector storage (local or cloud via LANCEDB_URI) and Gemini embedding-001 for 3072-dim embeddings. Includes migration script for importing memories from OpenClaw JSONL backups. Security: sanitized filter inputs, crypto.randomUUID for IDs, 30s fetch timeout, race-safe singleton initialization. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
SKILL.md for adding semantic memory (LanceDB + Gemini embeddings) to container agents. Provides 4 MCP tools: memory_store, memory_search, memory_delete, memory_count. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Move Gemini API key from URL query param to x-goog-api-key header - Sort package.json dependencies alphabetically - Use consistent single-quote SQL in memoryDelete filter - Move memory import to top of ipc-mcp-stdio.ts with other imports - Require explicit args in migrate script (remove hardcoded defaults) - Add exponential backoff retry on 429/5xx in migrate script https://claude.ai/code/session_01SuTggdU3v9wdy5cjTn77Qw
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Duplicate of #979 — review fixes merged into the original PR branch. |
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Type of Change
.claude/skills/Description
This PR adds the
add-lancedb-memoryskill, which enables container agents to store and retrieve semantic memories across sessions using LanceDB for vector storage and Gemini embeddings for semantic similarity search.What's included
Skill documentation (
.claude/skills/add-lancedb-memory/SKILL.md):Implementation:
container/agent-runner/src/memory.ts— LanceDB + Gemini embedding logic with functions for storing, searching, deleting, and counting memoriescontainer/agent-runner/src/ipc-mcp-stdio.ts:memory_store— persist facts/decisions with category and importancememory_search— semantic similarity search via natural languagememory_delete— remove memories by IDmemory_count— total memory countsrc/container-runner.tsforGEMINI_API_KEY,LANCEDB_URI,LANCEDB_API_KEY@lancedb/lancedbandapache-arrowincontainer/agent-runner/package.jsonscripts/migrate-memories.mjs) for importing OpenClaw JSONL backupsKey features
/workspace/group/memory/lancedbLANCEDB_URI+LANCEDB_API_KEYembedding-001modelInstallation flow
The skill guide walks users through:
For Skills
https://claude.ai/code/session_01SuTggdU3v9wdy5cjTn77Qw