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lattice-mcp

by duong88652
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    • lattice-mcp

      andreaaktas30888
      F
      license
      Not graded
      quality
      A
      maintenance
      Enables analysis of documents far larger than an LLM's context window by letting the model issue constrained symbolic commands that execute server-side against in-memory handles, so only compact result stubs—rather than raw text—travel through the conversation. It also provides server-side memo storage with expandable handles, letting agents retain and retrieve large context across long sessions at a fraction of the token cost.
      2 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.
      2 npm
      -

    • lattice-mcp

      alessiomiyazaki08
      F
      license
      Not graded
      quality
      A
      maintenance
      Enables token-efficient analysis of very large documents by letting an LLM issue constrained symbolic commands while results and context are stored server-side as compact handles and memos. This avoids loading full documents or large intermediate outputs into the model context.
      2 npm
      -

    • lattice-mcp

      jakubdagostini7842
      A
      license
      Not graded
      quality
      A
      maintenance
      Enables analysis of documents far larger than an LLM's context window by executing symbolic search, filter, and aggregate commands server-side and returning compact handle stubs instead of full result sets. It also lets agents stash long context as server-side memos and expand them on demand, cutting token usage across multi-turn sessions.
      2 npm
      MIT

    • Matryoshka

      Asli179
      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 symbolic S-expression commands that a logic engine parses, validates, and executes over the source text. Handle-based in-memory storage and server-side memo pads keep results and stashed context as compact stubs, cutting token usage dramatically while supporting recursive sub-queries over chunks.
      2 npm
      -

    • Matryoshka

      JerryNovikov048
      F
      license
      Not graded
      quality
      A
      maintenance
      Enables token-efficient analysis of documents far larger than an LLM context window by executing validated symbolic commands server-side and returning compact handles or memos instead of full text.
      2 npm
      -

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