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• lattice-mcp

  Sundberg84811

  F

  license

  -Not graded

  quality

  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.

  Updated 2 days ago (2026-10-14 15:48 UTC)

  2 npm

  -

• lattice-mcp

  yogthos

  A

  license

  -Not graded

  quality

  C

  maintenance

  Enables processing documents larger than LLM context windows using symbolic commands in Nucleus DSL, executed by the Lattice engine, without chunking or vector databases.

  Updated 5 months ago (2026-05-17 18:19 UTC)

  489 npm

  150

  Apache 2.0

• lattice-mcp

  laurakumar

  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.

  Updated a day ago (2026-10-15 19:27 UTC)

  2 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.

  Updated a day ago (2026-10-15 21:04 UTC)

  2 npm

  -

• 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.

  Updated 2 days ago (2026-10-14 15:42 UTC)

  2 npm

  -

• 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.

  Updated 6 months ago (2026-04-11 23:57 UTC)

  218

  MIT