OmniSafe is an open-source infrastructure framework designed to accelerate safe reinforcement learning research. It provides implementations of constraint-based RL algorithms, benchmark environments, and training utilities. The framework supports various safety constraints and is built on PyTorch, serving as a research toolkit for developing RL agents that must satisfy safety requirements during training and deployment.