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    • 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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    • 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
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    • 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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    • 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.
      4 npm
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    • 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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    • 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
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