Shypd.aiThe largest open index of AI toolsART is an AI Agents & Automation tool that trains multi-step agents for real-world tasks using reinforcement learning. It provides on-the-job training for AI agents, supporting models like Qwen3.5, GPT-OSS, and Llama.
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About
ART (Agent Reinforcement Trainer) is an open-source framework designed to improve agent reliability by enabling Large Language Models (LLMs) to learn from experience. It provides an ergonomic harness for integrating GRPO (Generalized Reinforcement Policy Optimization) into any Python application, allowing users to train multi-step agents for real-world tasks. ART features a serverless RL training service that manages infrastructure automatically, promising lower costs and faster training cycles. It supports a wide range of vLLM/HuggingFace-transformers compatible causal language models, including Qwen3.5, GPT-OSS, and Llama. The tool offers flexible observability and simplified debugging through integrations with platforms like W&B, Langfuse, and OpenPipe, and is customizable with intelligent defaults for training parameters and inference engine configurations.
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