ART – a new open-source RL framework for training agents
Hey HN, I wanted to share a new project we've been working on for the last couple of months called ART (https://github.com/OpenPipe/ART). ART is a new open-source framework for training agents using reinforcement learning (RL). RL allows you to train an agent to perform better at any task whose outcome can be measured and quantified. There are many excellent projects focused on training LLMs with RL, such as GRPOTrainer (https://huggingface.co/docs/trl/main/en/grpo_trainer) and verl…
ART – a new open-source RL framework for training agents launched on April 30, 2025 with 116 votes, #415 of 7,818 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 1 year on.
In plain words
ART is an open-source reinforcement learning framework for training agents to perform measurable tasks. It is designed for developers and researchers working with agent-based systems that require multi-turn workflows, such as agents calling tools sequentially and responding to feedback. The framework addresses limitations in existing RL projects by providing better support for complex, iterative agent interactions.
written from the facts on this page · September 2026
From the sources
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! - OpenPipe/ART
In the maker’s words, at launch
Hey HN, I wanted to share a new project we've been working on for the last couple of months called ART (https://github.com/OpenPipe/ART). ART is a new open-source framework for training agents using reinforcement learning (RL). RL allows you to train an agent to perform better at any task whose…
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