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  1. Home
  2. /Repositories
  3. /zircote/rlm-rs
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repoGitHubTrust 82 · PrimaryPublished 9d agoLive · 3d ago

zircote/rlm-rs

Rust CLI implementing the Recursive Language Model (RLM) pattern for Claude Code. Process documents 100x larger than context windows through intelligent chunking, SQLite persistence, and recursive sub-LLM orchestration.

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Why these links exist

Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.

  • PossiblePossibly related (embedding) · 53%IEEE Rolls Out Large Language Models Virtual Training Course →
  • PossiblePossibly related (embedding) · 50%When Does Tool Use Increase the Expressive Power of Finite-Precision Recurrent Models? →
  • PossiblePossibly related (embedding) · 49%ECHO: Prune to act, trace to learn with selective turn memory in agentic RL →
  • PossiblePossibly related (embedding) · 48%Message Passing Enables Efficient Reasoning →
  • PossiblePossibly related (embedding) · 48%A Lifecycle and Application-Stack Survey of Large Language Model Vulnerabilities: Attacks, Risks, Defenses, and Open Problems →

Covers

newsIEEE Rolls Out Large Language Models Virtual Training Course

Implements

paperWhen Does Tool Use Increase the Expressive Power of Finite-Precision Recurrent Models?paperECHO: Prune to act, trace to learn with selective turn memory in agentic RLpaperMessage Passing Enables Efficient ReasoningpaperA Lifecycle and Application-Stack Survey of Large Language Model Vulnerabilities: Attacks, Risks, Defenses, and Open Problems

Related across the graph

paperWhen Does Tool Use Increase the Expressive Power of Finite-Precision Recurrent Models?paperMessage Passing Enables Efficient ReasoningpaperECHO: Prune to act, trace to learn with selective turn memory in agentic RLnewsIEEE Rolls Out Large Language Models Virtual Training CoursepaperA Lifecycle and Application-Stack Survey of Large Language Model Vulnerabilities: Attacks, Risks, Defenses, and Open Problems
Knowledge path·PWhen Does Tool Use Increase the Expressive Power of Finite-Precision Recurrent Models?→PMessage Passing Enables Efficient Reasoning→PECHO: Prune to act, trace to learn with selective turn memory in agentic RL→Rzircote/rlm-rs

Topics

ai-toolschunkingclaudeclaude-codeclicommand-linecontext-windowdevtoolsdocument-processingllm

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Graph trust82Primary
Graph score57