OpenRL is a unified reinforcement learning framework that supports training agents across diverse environments including games (Atari, Google Research Football), robotics (Mujoco), and embodied AI tasks. It provides distributed training capabilities, multi-agent reinforcement learning support, and integration with LLM-based agents and MCTS algorithms. The framework builds on PyTorch and supports Gym/Gymnasium environments.