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lattice-mcp

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    • Matryoshka

      SoyeonYoshida
      F
      license
      Not graded
      quality
      A
      maintenance
      Enables token-efficient analysis of very large documents by letting an LLM issue symbolic Nucleus commands to a Lattice engine and keeping large results in server-side handles, avoiding vector databases or chunking. Supports recursive queries, multi-context loading, and memo stashing to work beyond the model's context window.
      4 npm
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    • lattice-mcp

      zPatel4761
      F
      license
      Not graded
      quality
      A
      maintenance
      Enables token-efficient analysis of documents far larger than an LLM context window by executing constrained symbolic Nucleus commands through a Lattice logic engine and returning compact handles or final results. Supports recursive sub-queries, multi-document loading, and server-side memo storage to reduce context roundtripping.
      4 npm
      -

    • lattice-mcp

      gDupuis61
      F
      license
      Not graded
      quality
      A
      maintenance
      Enables analysis of documents far larger than an LLM's context window without vector databases or chunking, by having the model emit constrained Nucleus S-expression commands that the Lattice engine parses, type-checks, and executes against the document. Handle-based in-memory storage, a server-side memo pad, and recursive sub-query primitives let agents work with compact stubs instead of large text blobs.
      4 npm
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    • lattice-mcp

      Rafael48100
      A
      license
      Not graded
      quality
      A
      maintenance
      Enables LLMs to analyze documents far larger than their context window by emitting validated Nucleus S-expression commands that a logic engine executes server-side, returning compact handles and expandable memory memos instead of full data to keep token usage low.
      4 npm
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    • lattice-mcp

      kWatson951
      A
      license
      Not graded
      quality
      A
      maintenance
      Enables an LLM to analyze documents far larger than its context window by issuing symbolic Nucleus commands that are parsed, type-checked, and executed server-side against the document. Results are kept in in-memory handles and a persistent memory pad so agents carry compact stubs instead of large text blobs, cutting token usage dramatically.
      4 npm
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    • lattice-mcp

      ludovica82
      A
      license
      Not graded
      quality
      A
      maintenance
      Enables analysis of documents far larger than an LLM's context window by letting the model emit constrained Nucleus symbolic commands that are parsed, type-checked, and executed server-side against the document. Results and agent context are kept as compact in-memory handles and memos, cutting token usage dramatically while supporting recursive sub-queries and multi-context loading.
      4 npm
      MIT

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