MARLlib provides a unified repository for multi-agent reinforcement learning research and implementation. It builds on Ray and RLlib for distributed training and supports diverse multi-agent environments including cooperative, competitive, and mixed settings. The library implements various MARL algorithms and offers integrated visualization tools for training metrics.