datamllab/HarborRL

Scalable RL for Any Agent and Sandbox.

The official paper for EnvFactory: Scaling Tool-Use Agents via Executable Environments Synthesis and Robust RL.

Train your Agent model via our easy and efficient framework

Agent-R1: Training Powerful LLM Agents with End-to-End Reinforcement Learning

Scalable, Composable Reinforcement Learning for Real-World Agents with Bedrock AgentCore.

The absolute trainer to light up AI agents.

Democratizing Reinforcement Learning for LLMs

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!

Creating realistic RL environments requires collaboration between researchers, engineers, and domain experts across many dimensions: artifacts, environments tools, dynamism of the environment, reproducibility, and more. There is no open source framework for building these environments effectively. Until now.