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    • F
      license
      Not graded
      quality
      B
      maintenance
      Enables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.
      4
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    • F
      license
      Not graded
      quality
      F
      maintenance
      Enables searching and researching document collections through hybrid semantic search and agentic research queries with grounded, cited answers. It allows users to list collections, scan document sections, and retrieve full Markdown content via MCP-compatible agents.
      36 npm
      -
    • F
      license
      Not graded
      quality
      C
      maintenance
      Hybrid semantic search (dense vector + BM25) over local knowledge bases and codebases, exposed as MCP tools for AI agents to search and list knowledge bases.
      -
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents and MCP-compatible hosts to search, ask, and retrieve section-level citations from scattered local notes, docs, PDFs, Word files, web pages, org files, and chat logs using hybrid vector and BM25 retrieval.
      -
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables coding agents to search local repositories through hybrid keyword and embedding retrieval, read matched chunks, and list indexed repos via MCP, without API keys or cloud services.
      MIT