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loci

by IvenKooLab
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Python
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Alternatives to loci

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    Related Servers

    • 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

    • loci-mcp

      wojciechhart46
      F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents and MCP hosts to query a local, hybrid-retrieval second brain over scattered notes and docs, returning section-level citations. It exposes search, resources, and prompts so hosts can mount the user's indexed files as an agent-accessible memory layer.
      -
    Deploy Server
    Context All Your Agents Can ShareAgents share what they learn, hand off work, and hold it when you switch models. Start with 5 GB free.fulcradynamics.comAd

    TDQS

    A4.2/5.0

    Scored across 9 tools

    Disambiguation4/5

    Most tools are clearly separated: brain_search returns raw excerpts while brain_ask synthesizes an answer, and brain_ingest/brain_forget/brain_stats are unambiguous. The only real overlap is brain_graph vs brain_links, which both explore connections but one uses entity-relation triples and the other uses wikilinks.

    Naming Consistency4/5

    All tools share the brain_ prefix with short single-word suffixes, making the set feel cohesive and scannable. However, suffixes mix verb forms (ask, forget, ingest, remember, search) with noun forms (graph, links, stats, wiki), so the pattern is not perfectly uniform.

    Tool Count5/5

    Nine tools is a well-scoped size for a personal knowledge base server. Each tool covers a distinct operation and none feels redundant, while the count is small enough for an agent to navigate quickly.

    Completeness4/5

    The core memory lifecycle is covered well: create via brain_remember and brain_ingest, read via brain_search and brain_ask, delete via brain_forget, plus stats and wiki consolidation. The main gap is that brain_graph queries the knowledge graph but building/updating graph.json is left to an external CLI rather than an MCP tool.

    Maintenance

    ActivityActive
    ResponsivenessNo issues

    Resources