OpenPipe/ART
View on GitHub ↗ ★ 10,849 Python
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!
5 mentions on Hacker News by 4 people: 2 stories, 3 comments · first 2025-04-30 · latest 2026-02-23
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…year) is self-play / reinforcement learning. Like we've ran out of training data a few years ago. https://github.com/OpenPipe/ART Reinforcement learning having the large language model devise puzzles that they solve via llm-as-judge. The…
comment by iFire · 2026-02-23 · in Code is not being read anymore, right? -
…and RLHF etc is going to be more important in the future. I'm interested in trying out systems like https://github.com/OpenPipe/ART to be able to train agents to work on a particular codebase and learn from my development logs and previous…
comment by org3 · 2025-09-21 · in If you are good at code review, you will be good at using AI agents -
Perhaps less about DSPy, and rather about this: https://github.com/OpenPipe/ART
comment by omneity · 2025-09-17 · in Launch HN: RunRL (YC X25) – Reinforcement learning as a service -
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Show HN: RULER – Easily apply RL to any agentstory by kcorbitt · 2025-07-11 · 11 comments
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Show HN: ART – a new open-source RL framework for training agentsstory by kcorbitt · 2025-04-30 · 12 comments