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    • A
      license
      A
      quality
      A
      maintenance
      Enables AI agents to search local Markdown documents using natural language, with automatic indexing and section-level retrieval.
      10
      6 npm
      1
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to navigate large Markdown libraries structure-first — walking library → folder → document → section and reading original text with line numbers, with keyword search as fallback — so answers stay explainable and citable without embeddings or a vector database.
      1
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Enables AI agents to search a local folder of Markdown, AsciiDoc, and text files through a SQLite FTS5 keyword index, returning the most relevant sections with file paths, line ranges, and heading breadcrumbs instead of grepping through a repo. It also exposes tools to list indexed documents and refresh the index incrementally, all offline with no dependencies, network calls, or embeddings.
      3
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Ultra-fast local markdown documentation RAG for AI coding agents, enabling instant BM25 search over official framework docs and live AI model registries via MCP.
      8
      2
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Provides direct access to local documentation files through simple search and overview tools, enabling LLMs to query project-specific markdown documentation without requiring vector databases or RAG pipelines.
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Lets AI agents search and read a folder of Markdown documentation at query time, exposing heading-level search, whole-page or section retrieval, and page listing as tools and resources over stdio or Streamable HTTP. Can run as a CLI, a hosted endpoint, or a library inside an existing Node or Next.js site.
      3
      922 npm
      1
      MIT