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Memory provides a local-first MCP server for agent memory, designed to separate fast capture, runtime retrieval, and maintenance curation processes. It uses SQLite with `sqlite-vec` for efficient embedded storage and search, leveraging OpenAI embeddings for semantic understanding. Agents can log candidate memory during their normal operations, which is then processed by a maintenance routine. This routine converts relevant log items into persistent, searchable facts, ensuring a structured and curated memory for AI agents.
