OpenEMMA is an open-source project that replicates Waymo's EMMA model, providing an end-to-end framework for motion planning of autonomous vehicles. This model utilizes pre-trained Vision-Language Models (VLMs) such as GPT-4 and LLaVA to integrate text and forward-facing camera inputs, achieving precise predictions of future path points and providing decision rationale. OpenEMMA aims to provide accessible tools for researchers and developers to advance research and applications in autonomous driving.