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    • F
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      A
      maintenance
      Enables analysis of documents far larger than an LLM's context window by executing constrained symbolic Nucleus commands against them server-side, with in-memory handle storage that returns compact stubs instead of full result sets. Also provides a server-side memory pad so agents can stash context and retrieve it later, cutting token usage dramatically.
      2 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 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.
      2 npm
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    • 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.
      2 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.
      2 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.
      2 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.
      2 npm
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