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docs: detail memory tools and local models

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Peter Steinberger
2026-01-12 22:35:19 +00:00
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docs/concepts/memory.md
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@@ -102,3 +102,22 @@ Local mode:
- Set `agents.defaults.memorySearch.provider = "local"`.
- Provide `agents.defaults.memorySearch.local.modelPath` (GGUF or `hf:` URI).
- Optional: set `agents.defaults.memorySearch.fallback = "none"` to avoid remote fallback.
### How the memory tools work
- `memory_search` semantically searches Markdown chunks (~400 token target, 80-token overlap) from `MEMORY.md` + `memory/**/*.md`. It returns snippet text (capped ~700 chars), file path, line range, score, provider/model, and whether we fell back from local → remote embeddings. No full file payload is returned.
- `memory_get` reads a specific memory Markdown file (workspace-relative), optionally from a starting line and for N lines. Paths outside `MEMORY.md` / `memory/` are rejected.
- Both tools are enabled only when `memorySearch.enabled` resolves true for the agent.
### What gets indexed (and when)
- File type: Markdown only (`MEMORY.md`, `memory/**/*.md`).
- Index storage: per-agent SQLite at `~/.clawdbot/state/memory/<agentId>.sqlite` (configurable via `agents.defaults.memorySearch.store.path`, supports `{agentId}` token).
- Freshness: watcher on `MEMORY.md` + `memory/` marks the index dirty (debounce 1.5s). Sync runs on session start, on first search when dirty, and optionally on an interval. Reindex triggers when embedding model/provider or chunk sizes change.
### Local embedding auto-download
- Default local embedding model: `hf:ggml-org/embeddinggemma-300M-GGUF/embeddinggemma-300M-Q8_0.gguf` (~0.6 GB).
- When `memorySearch.provider = "local"`, `node-llama-cpp` resolves `modelPath`; if the GGUF is missing it **auto-downloads** to the cache (or `local.modelCacheDir` if set), then loads it. Downloads resume on retry.
- Native build requirement: run `pnpm approve-builds`, pick `node-llama-cpp`, then `pnpm rebuild node-llama-cpp`.
- Fallback: if local setup fails and `memorySearch.fallback = "openai"`, we automatically switch to remote embeddings (`openai/text-embedding-3-small` unless overridden) and record the reason.