GH Repository · OpenPipe
ART
Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.6, GPT-OSS, Llama, and more!
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Pythonqwen3agent-appqwenrlgrpoagentic-aiagentreinforcement-learningpython/uvpythonlorallms
ART (Agent Reinforcement Trainer) is an open-source Python toolchain from OpenPipe for training multi-step agents on real-world tasks using GRPO reinforcement learning. It targets LLMs such as Qwen3, GPT-OSS, and Llama, using LoRA-based training, and ships Claude directory and claude.md config files.
You want to fine-tune agents with reinforcement learning rather than prompt engineering alone.
Use it to
- Train multi-step agents with GRPO
- Fine-tune Qwen3 or Llama via LoRA
- Apply on-the-job RL to real-world tasks
- Set up training runs in a Python/uv toolchain
For Developers training LLM-powered agents with reinforcement learning
- Role
- agent-app
- Language
- Python
- Licence
- Apache-2.0
- Forks
- 983
- Open issues
- 67
- Last push
- 2026-09-15
- Latest release
- v0.1.9 · 2025-07-11
topicsreinforcement-learninggrpoagentslorallmsqwen