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# recollect-mcp MCP server for persistent memory. 6 tools, 3 resources, server-managed sessions. See the [project README](https://github.com/bartolli/recollect#readme) for architecture details. ## Install ```bash pip install recollect-mcp # or: uv add recollect-mcp ``` ## Usage ```bash # stdio (default) recollect-mcp # streamable-http recollect-mcp --transport streamable-http # with logging recollect-mcp --log-file logs/mcp.jsonl --verbose ``` ## Tools | Tool | Parameters | Description | |------|------------|-------------| | `remember` | `content: str` | Store an experience. LLM extracts entities, concepts, significance, and persona facts. | | `recall` | `query: str`, `token_budget: int = 2000` | Retrieve relevant memories. Returns persona facts as context followed by matching traces. | | `reflect` | -- | Load persona context for the current session. Call before responding to any user message. | | `pin` | `trace_id: str` | Promote a memory's extracted relations to permanent persona facts. | | `unpin` | `fact_id: str` | Archive a persona fact. It stops surfacing in recall and reflect; the row is retained. | | `forget` | `trace_id: str`, `force: bool = false` | Forget a memory trace: it stops surfacing in recall and never auto-revives. Derived facts archive; safety-critical (health/dietary/constraint) and pinned facts are retained unless `force=true`. Nothing is hard-deleted. | ## Resources | URI | Description | |-----|-------------| | `memory://primer` | Relational graph of persona facts. Read at conversation start for user context. | | `memory://facts` | All active persona facts with confidence scores and timestamps. | | `memory://health` | Server and database health status. | Clients that support MCP resources get session priming automatically via `primer`. For clients that don't, `reflect` loads the same context as a tool call. If neither is invoked, the first `recall` of the session still surfaces safety-critical persona facts (pinned, health, die…
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