Method for Long Context RLMs using verifiable Lambda Calculus

Automated generation of comprehensive Agents.md for LLMs, driven by the DSPy Recursive language model implementation.

Implementation of Recursive Language Model paper from scratch

The Research Playground for the RLMSs and Coding Agents

🫛👣 FAVA Trails — Git-native, curated memory for AI agents via MCP. Draft isolation, promotion gate, thought lifecycle hooks, memory curation protocols, supersession chains.

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

Running Recursive Language Models (RLM) on Azure

Recursive Language Models — process arbitrarily long prompts by offloading context into a REPL with symbolic recursion via sub-LLM calls. Based on Zhang, Kraska & Khattab (2025).

Generate optimized AGENTS.md files by analyzing GitHub or local repositories using Recursive Language Models and support for 100+ LLM providers.

A verifiers RLM environment for testing whether adaptive recursive search outperforms brittle manual RAG choreography on long synthetic corpora.

Zig runtime for Recursive Language Model workflows, inspired by alexzhang13/rlm

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

A local, sandboxed prototype of Recursive Language Models (RLMs) using Docker and Ollama.

Recursive Language Models — the root LLM gets a Python sandbox and delegates focused sub-questions to cheaper sub-models, then synthesizes. Includes a finance-sector demo on a synthetic 10-K filing.

Recursive Language Model Demo

🧠 Enable long-context recursive language models by wrapping OpenAI clients into a persistent REPL for scalable prompt processing.