Show HN: ART – a new open-source RL framework for training agents

Train GRPO-powered RL agents with minimal code changes and maximal performance! Agent Reinforcement Trainer (ART) ART is an open-source reinforcement training library for improving LLM performance in agentic workflows. ART utilizes the powerful GRPO reinforcement learning algorithm to train models from their own experiences. Unlike most RL libraries, ART allows you to execute agent runs in your existing codebase while offloading all the complexity of the RL training loop to the ART backend. Read about the training loop. Then try out one of the notebooks below! 📒 Notebooks 🔁 Training Loop Overview ART's functionality is divided into a client and a server. The OpenAI-compatible client is responsible for interfacing between ART and your codebase. Using the client, you can pass messages and get completions from your LLM as it improves. The server runs independently on any machine with a GPU. It abstracts away the complexity of the inference and training portions of the RL loop while a ... Read full article.