Implementation of Recursive Language Model paper from scratch
Recursive Language Model Demo
Production-ready test-time compute optimization framework for LLM inference. Implements Best-of-N, Sequential Revision, and Beam Search strategies. Validated with models up to 7B parameters.
Reduce AI agent token usage by 85-95%! RLM-inspired MCP proxy with field projection & regex filtering. Handle massive tool outputs efficiently. Save $$$ on LLM costs. Works with Claude, GPT-4, any MCP server.
Add a description, image, and links to the recursive-language-models topic page so that developers can more easily learn about it.
To associate your repository with the recursive-language-models topic, visit your repo's landing page and select "manage topics."