Minigrid is a Python library offering discrete grid-world environments used for reinforcement learning research and agent training. The environments conform to the Gymnasium standard API and are designed to be fast and easily configurable, supporting curriculum-based learning and multi-task scenarios. It has been referenced in multiple academic publications and serves as a common benchmark environment in the RL community.