Memory LanceDB

AI agents often suffer from short-term memory, forgetting context between sessions. This tool solves that by providing a robust, LanceDB-backed long-term memory system. It integrates advanced retrieval methods like vector and BM25 search, enhanced by cross-encoder reranking, to ensure the most relevant information is always surfaced. Key features include intelligent memory extraction, a dynamic lifecycle management system that promotes important memories while allowing stale ones to fade, and multi-scope isolation for managing separate memory contexts for agents, users, or projects.

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