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    Related Servers

    • A
      license
      A
      quality
      C
      maintenance
      Enables local-first hybrid knowledge retrieval from authorized Markdown and plain-text files, combining full-text and vector search with reranking and traceable source references via a single search tool.
      1
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Provides coding agents with persistent local memory by exposing tools to save, search, and retrieve decisions, bugs, and context as Markdown with hybrid keyword and semantic search.
      4
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to search and ask questions about a local codebase with citations, using BM25 and optional embeddings, all offline.
      3 npm
      1
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI agents to index and search local files, websites, GitHub repos, and packages using hybrid retrieval with reranking, all through IDE chat.
      4
      Apache 2.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to index and search local files, websites, GitHub repos, and packages with hybrid AI-powered retrieval, all locally through IDE chat.
      Apache 2.0

    TDQS

    A4.1/5.0

    Scored across 2 tools

    Disambiguation5/5

    The two tools have clearly distinct scopes: rag_query searches broadly across code, docs, and commits, while search_knowledge targets only durable knowledge artifacts. Their descriptions explicitly state when to use each, eliminating ambiguity.

    Naming Consistency4/5

    Both names use lowercase snake_case and are descriptive, but the pattern differs: 'rag_query' places the technology prefix before the verb, while 'search_knowledge' follows a verb-noun structure. This minor inconsistency doesn't cause confusion, but a unified pattern like 'search_all' and 'search_knowledge' would be cleaner.

    Tool Count3/5

    With only two tools, the server feels minimally scoped, but for a focused search/retrieval service this is arguably sufficient. The two tools complement each other well without redundancy, though a few more specialized search options could justify a higher score.

    Completeness4/5

    The two tools cover broad and knowledge-specific search, including source code, commits, notes, and decisions. Minor gaps exist such as lacking a tool to retrieve a specific document by ID or list available sources, but core retrieval needs are met.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues