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Glama

Related Servers

Alternatives to hubmesh

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    Related Servers

    • A
      license
      Not graded
      quality
      A
      maintenance
      Serves a repository's code knowledge graph over stdio (MCP) so coding agents can look up symbols, trace callers and callees, compute blast radius, list file symbols, run hybrid lexical-plus-graph search, and get citation-grounded answers from file:line evidence instead of guessing from text chunks. All tools work offline straight from the graph, with prose synthesis only when an OpenAI-compatible LLM endpoint is configured.
      40 PyPI
      13
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables agents to optimize context-window attention by reordering retrieved documents so critical evidence lands at prompt boundaries, mitigating lost-in-the-middle degradation. It combines BM25 lexical scoring, dense vector similarity, reciprocal rank fusion, knowledge-graph expansion, and recency-decay memory caching, exposed as a zero-dependency MCP stdio server.
      7
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Zero-trust, air-gapped Enterprise GraphRAG MCP server. Build knowledge graphs from local documents and run multi-hop, citation-grounded queries entirely offline with Ollama.
      5
      324
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables coding agents to keep a local knowledge graph across sessions and checkpoints, restoring project context after tabs or model changes, and to ground every answer with an explicit verdict from the graph. Runs entirely on the user's machine over MCP/stdio or local JSON-RPC with no third-party runtime dependencies.
      13
      Apache 2.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables agents to retrieve relevant context via a zero-dependency hybrid search engine that blends sparse keyword-based lexical ranking with dense vector similarity scores into one fused result set, then refines it with knowledge graph triplet expansion and lost-in-the-middle context reordering. It also provides episodic memory consolidation, recency decay, and semantic query caching, exposed as a JSON-RPC 2.0 stdio MCP server for clients such as Claude Desktop, Cursor, and Windsurf.
      7
      MIT

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