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loci

loci

by IvenKooLab
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Python
Local

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Alternatives to loci

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    Related Servers

    • loci-mcp

      robertrorato82542
      F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents and MCP hosts to query a local second brain built from scattered notes, docs, PDFs, and chat logs, with hybrid vector/BM25 retrieval and section-level citations.
      -

    • loci-mcp

      GaryAbdullah46836
      F
      license
      Not graded
      quality
      B
      maintenance
      A local MCP server that lets AI hosts like Claude Desktop, Cursor, or Cline query a hybrid vector + BM25 index of your scattered notes, project docs, PDFs, and chat exports, returning answers with section-level citations. It exposes eight tools, resources, and prompts so agents can search, ask, and walk links across all your source directories at once.
      -

    • loci-mcp

      husseinwozniak85
      F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents and MCP hosts to query a local, queryable second brain over scattered notes and docs using hybrid vector plus BM25 retrieval with section-level citations, resources, and prompts.
      -

    • loci-mcp

      hanselliott
      F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to query a local, hybrid-searchable second brain over scattered notes, documents, and chat logs with section-level citations. It exposes retrieval tools, resources, and prompts through MCP so hosts like Claude Desktop, Cursor, and Cline can use the indexed knowledge.
      -

    • loci-mcp

      kemallee02
      F
      license
      Not graded
      quality
      A
      maintenance
      Enables MCP-compatible AI agents to search, ask, and retrieve section-level cited answers from a local hybrid index over scattered notes, documents, and chat logs.
      -

    • corpus-rag

      monahand1023
      A
      license
      Not graded
      quality
      A
      maintenance
      MCP server for local RAG over personal notes, PDFs, and documents, enabling plain-English querying and hybrid search with multi-hop context expansion.
      MIT
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4.1/5.0

    Scored across 10 tools

    Disambiguation4/5

    Most tools target distinct actions (ingest, search, ask, remember, forget, stats, wiki), and the descriptions explicitly disambiguate the search-vs-ask and graph-vs-links pairs. The remaining mild overlap is between brain_graph and brain_links (both graph exploration) and the somewhat vague brain_harness, but guidance is clear enough to select correctly.

    Naming Consistency5/5

    Every tool uses a uniform brain_ + single-verb/noun pattern (brain_search, brain_ask, brain_remember, brain_forget, brain_ingest, etc.). No casing or verb-style deviations, making the set highly predictable.

    Tool Count5/5

    Ten tools is well within the ideal range and each earns its place: ingest, search, ask, remember, forget, stats, wiki, graph, links, and harness cover distinct capabilities. Nothing feels padded or missing at the count level.

    Completeness4/5

    The surface covers the full memory lifecycle: index (ingest), create (remember), read (search/ask), delete (forget), plus stats, wiki consolidation, and graph exploration. Minor gap: no explicit update/edit operation for an existing memory note (though remember can effectively overwrite), and no delete for generated wiki pages.

    Maintenance

    ActivityActive
    ResponsivenessNo recent community issues

    Resources