CLI for Recursive Language Models (arXiv:2512.24601)

CLI for Recursive Language Models

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.

implementing MIT RLM concepts in Rust using DSL, WASM, CLI, and recursive LLM calls

Make codex, gemini-cli, or any other coding agent into an RLM.

CLI agent that analyses meeting transcripts using Recursive Language Models (RLMs) to extract decisions, ownership, deadlines, and contradictions across documents.

Codex CLI skill: MapReduce(+Verify) orchestration with deterministic .rlm artifacts

The Freeradius accounting integration with ClickHouse

RLM-powered CLI research tool — prompt externalization, Python REPL, pi/ai LLM client

The Context Broker (CLI + MCP). Query codebases for AI agents using progressive disclosure based on RLM research (MIT/Stanford, 2025). Reduce token costs by up to 80% and eliminate context rot with AST-aware retrieval, surgical editing, and semantic search. Stop feeding full files, start querying your code.

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RLM Code interactive coding CLI

RLM-powered codebase analysis CLI — security audits, architecture reviews, documentation, debugging

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CLI based agentic framework for AI coding tools including Claude Code, GitHub Copilot CLI, and Gemini CLI.

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This is your client-side repository for the Shepherd's Pie sprint(s).

Autonomous Cognitive Plugin for AI CLI Agents — RLM + PaX-RAG + MCP-Zero + Alpha-Evolve Engine

CLI PDF retrieval tool using Recursive Language Models (RLM), with optional depth-1 subagent routing and markdown/PDF export.

MCP server for recursive market analysis. Yahoo Finance + CoinGecko + sandboxed Python + RLM sub-queries via claude/codex/gemini/copilot CLI. Zero API keys required.

Analyze entire SEC filings using Recursive Language Models. Fetch filings from EDGAR, ask questions that require reading the full document, and get cited answers. CLI and Python library. Built on RLM by Alex L. Zhang et al.