OpenEMMA is an open-source end-to-end framework based on Multimodal Large Language Models (MLLMs) for Autonomous Driving (AD).OpenEMMA incorporates the Chain-of-Thought reasoning process and achieves significant improvements compared to the baseline.It offers effectiveness, generalizability, and robustness across a variety of challenging driving scenarios.The code for OpenEMMA is released on GitHub: https://github.com/taco-group/OpenEMMA.