Mava provides single-file JAX implementations of state-of-the-art multi-agent reinforcement learning algorithms designed for rapid research iteration. The library focuses on distributed training across accelerators and supports emerging MARL algorithms. Built for researchers by InstaDeep, it offers environment wrappers and utilities for building and experimenting with multi-agent systems in JAX.