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delonsp

RLM MCP Server

by delonsp
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Python
Hybrid

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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.
      4 npm
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    • lattice-mcp

      leticialambert
      A
      license
      Not graded
      quality
      A
      maintenance
      Enables an agent to analyze documents far larger than its context window by emitting constrained symbolic commands against server-side REPL state, so results are held as compact handles rather than raw text. Supports recursive sub-queries, memoized context storage, and document loading with very large token savings.
      4 npm
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    • Aleph

      Hmbown
      A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants to analyze documents larger than their context window by loading files into RAM and querying them via search, navigation, and Python execution tools. Supports recursive reasoning to process massive datasets in chunks using sub-agents.
      14 PyPI
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    • >lattice-mcp

      ananyaa6007
      A
      license
      Not graded
      quality
      A
      maintenance
      Enables analysis of documents far larger than an LLM's context window by having the model emit small symbolic commands that execute server-side, returning compact handles instead of bulk data. It also provides a persistent memo pad so agents can stash context and expand it only when needed.
      4 npm
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    • lattice-mcp

      Alessiaw11
      A
      license
      Not graded
      quality
      A
      maintenance
      Enables token-efficient analysis of very large documents by executing constrained symbolic REPL commands against server-side handles, memory pads, and recursive queries rather than passing entire documents through the model context.
      4 npm
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    • lattice-mcp

      Scholz22
      A
      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 parsed and executed server-side. Results and stashed context are kept as compact in-memory handles so large datasets can be queried, filtered, aggregated, and expanded with minimal token cost.
      4 npm
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    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

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