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lattice-mcp

by ludovica82
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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
      MIT

    • lattice-mcp

      laurakumar
      F
      license
      Not graded
      quality
      A
      maintenance
      Enables analysis of documents far larger than an LLM's context window by executing symbolically-constrained Nucleus commands server-side instead of arbitrary generated code, without vector databases or chunking. It also lets agents stash large text results as compact in-memory handles and memos, cutting token usage by 90%+ while keeping full data retrievable on demand.
      4 npm
      -

    • lattice-mcp

      niklasnikolaidis8756
      A
      license
      Not graded
      quality
      A
      maintenance
      Enables analysis of documents far larger than an LLM's context window by letting the model emit validated symbolic commands that execute server-side, returning compact handles rather than full result sets. It also lets agents stash context as server-side memos that can be expanded later, cutting token usage across long sessions without vector databases or chunking heuristics.
      4 npm
      MIT

    • 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
      -

    • 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
      -

    • lattice-mcp

      HorstMorales
      F
      license
      Not graded
      quality
      A
      maintenance
      Enables analysis of documents far larger than an LLM's context window by having the model emit constrained symbolic S-expression commands that are validated and executed server-side, with large result sets and stashed context kept behind compact handle stubs rather than roundtripped as full text. Supports recursive sub-queries and memo storage so agents can search, filter, aggregate, and recall document content token-efficiently.
      4 npm
      -

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