Automated generation of comprehensive Agents.md for LLMs, driven by the DSPy Recursive language model implementation.
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Updated
Mar 3, 2026 - Python
Automated generation of comprehensive Agents.md for LLMs, driven by the DSPy Recursive language model implementation.
Recursive Language Model that improves any LLM while reducing token usage up to 4X across 12 benchmarks.
Implementation of Recursive Language Model paper from scratch
The Research Playground for the RLMSs and Coding Agents
Recursive Document Intelligence Engine — turn 1,000-page document sets into a question-answerable knowledge base with page-level citations. Live PubMed, clinical trial, and legal research. 296 tests. Not RAG.
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.
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 Model Demo
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