mjlab provides a manager-based API for robotics simulation and reinforcement learning research, leveraging GPU-accelerated MuJoCo Warp for fast environment execution. The framework offers composable building blocks for environment design with minimal dependencies and direct access to MuJoCo data structures. It targets NVIDIA GPUs for training workflows and includes examples like training humanoid robots for velocity tracking tasks.