BenchMARL is a multi-agent reinforcement learning training and benchmarking library developed by Facebook Research. It enables researchers to systematically compare different MARL algorithms, tasks, and models while ensuring reproducibility and standardization. Built on top of PyTorch and TorchRL, it provides configurable experiments via Hydra and supports popular MARL algorithms like MAPPO.