{"repo":"rllm-org/rllm","free":true,"listed":false,"github":"https://github.com/rllm-org/rllm","clone":"git clone https://github.com/rllm-org/rllm.git","description":"Democratizing Reinforcement Learning for LLMs","language":"Python","stars":5787,"topics":["agent-framework","agentic-workflow","distributed-training","llm-training","machine-learning","ml-infrastructure","ml-platform","reinforcement-learning","coding-agent","llm-reasoning"],"license":"Apache-2.0","category":"machine-learning","readme_excerpt":"Agentic RL on any harness, with any backend, on any benchmark. rLLM is an open-source framework for training language agents with reinforcement learning. Bring any harness, run it in any sandbox, and switch training backends with one flag — the same agent code drives both eval and training. Core features - Any harness. 10+ CLI harnesses (Claude Code, Codex, Terminus-2, mini-swe-agent, opencode, ...) plus Harbor-compatible task dirs. Or wrap your own agent — LangGraph, OpenAI Agents SDK, openai.OpenAI — with @rllm.rollout . - Any sandbox. Docker, Daytona, Modal, or local — with snapshot + warm-pool acceleration to keep rollouts cheap at training-scale. - Multiple training backends, one API. verl (distributed multi-GPU), tinker (single-machine), fireworks (Fireworks platform). Switch with one flag. - 60+ integrated benchmarks. Math, code, MCQ, QA, search, VLM, translation, agentic — Terminal-Bench 2.0, SWE-bench, SkillsBench, AIME, MATH-500, GPQA, and more. rllm eval auto-pulls and runs. - Multiple training methods. GRPO, REINFORCE, RLOO, SFT, on-policy distillation, and more. - Battle-tested. State-of-the-art open-source results (DeepScaleR-1.5B, DeepCoder-14B, DeepSWE-32B, FinQA-4B). Adopted by academic labs and industry research teams (see Community Projects below). Read more on our documentation site. Installation rLLM requires Python = 3.11 . You can install it either directly via pip or build from source. This installs dependencies for running rllm CLI with the tinker bac","default_branch":null,"files":null,"tree":[],"storefront":"/r/rllm-org","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/rllm-org/rllm/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}