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Matryoshka

by yokoo524
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    • 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.
      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
      -

    • lattice-mcp

      Clara672
      F
      license
      Not graded
      quality
      A
      maintenance
      Enables analysis of documents far larger than an LLM's context window by letting the model emit validated S-expression commands that execute server-side over full-text-indexed handles. Supports recursive sub-queries, multi-document context selectors, and a server-side memory pad that keeps bulky text out of the conversation.
      4 npm
      -

    • lattice-mcp

      duong88652
      A
      license
      Not graded
      quality
      A
      maintenance
      Enables token-efficient analysis of documents far larger than an LLM's context window by executing type-checked symbolic S-expression commands over server-side, handle-backed results instead of raw text. It also lets agents stash context in server-side memos that can be expanded later, avoiding repeated roundtrips of large text blobs.
      4 npm
      MIT

    • lattice-mcp

      Richardson60512
      F
      license
      Not graded
      quality
      A
      maintenance
      Enables MCP clients to analyze documents far larger than their context window by having the model emit validated symbolic S-expression commands that are parsed and executed server-side against the loaded content. In-memory handles, recursive sub-queries, and server-side memos keep token usage low while preserving full data for on-demand expansion.
      4 npm
      -

    • 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
      -

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