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    • A
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      Enables coding agents to query local notes, decisions, docs, and code with hybrid retrieval (BM25 + embeddings + reranking) and get path:line citations. It provides tools like rag_query for full-corpus search and search_knowledge for project-scoped knowledge recall.
      2
      1
      MIT
    • A
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      quality
      A
      maintenance
      Local-first memory and retrieval for private project knowledge. Enables indexing files, searching, and asking questions about project documents using local embeddings and LLM.
      6
      AGPL 3.0
    • A
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      Provides AI coding agents with persistent, long-term memory through local semantic search and SQLite storage. It enables agents to save and retrieve architectural decisions or project context across different conversation sessions without requiring cloud services.
      MIT
    • A
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      Enables local AI coding agents and web agents to store, retrieve, and search memories using hybrid semantic, lexical, and knowledge-graph ranking with cognitive decay modeling in a local on-device database.
      15
      MIT
    • A
      license
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      quality
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      maintenance
      Enables AI assistants to perform intelligent semantic code search across codebases using local AI embeddings for meaning-based retrieval.
      6
      5 npm
      MIT