Recursive Language Model patterns for Claude Code — handle massive contexts (10M+ tokens) by treating them as external variables
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Updated
Jan 26, 2026 - Python
Recursive Language Model patterns for Claude Code — handle massive contexts (10M+ tokens) by treating them as external variables
Implementation of Recursive Language Model paper from scratch
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.
MCP to optimize Claude code context window and effectively scan large files and code
Python package + Typer CLI implementation of DSPy's Recursive Language Model (RLM) with Modal sandbox for secure cloud-based code execution
Hexagonal architecture implementation of Recursive Language Models (RLM)
Benchmark harness for A/B testing Claude Code plugins against OOLONG long-context reasoning tasks. Compare truncation vs RLM-RS recursive chunking strategies. Features Claude Code hooks integration, SQLite persistence, and comprehensive scoring aligned with the OOLONG paper methodology.
MCP server implementing Recursive Language Model pattern for processing arbitrarily long contexts. Enables Claude Code to work with 1M+ character documents through session-based chunking, BM25 search, and artifact provenance tracking.
Claude Code plugin for processing documents 100x larger than context limits using the RLM pattern. Rust-powered chunking, SQLite storage, and sub-LLM orchestration.
📄 Enhance document processing by implementing Recursive Language Models with Claude Code to exceed typical context limits and manage larger inputs effectively.
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