This repository aggregates safe reinforcement learning baselines and benchmarks for both single-agent and multi-agent systems. It catalogs research papers, surveys, theses, and tutorials on safe RL, covering environments like Safety-Gym and Safety-Gymnasium. The collection serves as a reference for robotics applications requiring constraint satisfaction and safety guarantees.