OpenPipe/ART
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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!
About
Train multi-step agents for real-world tasks using GRPO.
W&B Training (Serverless RL) is the first publicly available service for flexibly training models with reinforcement learning. It manages your training and inference infrastructure automatically, letting you focus on defining your data, environment and reward function—leading to faster feedback cycles, lower costs, and far less DevOps.
ART is an open-source RL framework that improves agent reliability by allowing LLMs to learn from experience. ART provides an ergonomic harness for integrating GRPO into any python application. For a quick hands-on introduction, run one of the notebooks below. When you're ready to learn more, check…
Excerpted from github.com/OpenPipe/ART
Latest metrics
| Stars | 10.5k | 2026-07-16 |
|---|---|---|
| Forks | 959 | 2026-07-16 |
| Commits | 1.3k | 2026-07-16 |
| Releases | 58 | 2026-07-16 |
| Watchers | 66 | 2026-07-16 |
| Open issues | 63 | 2026-07-16 |
| Open PRs | 60 | 2026-07-16 |