OpenCOOD is an open-source cooperative detection framework for autonomous driving, serving as the official implementation of the OPV2V paper (ICRA 2022). It provides data APIs for multiple multi-agent perception datasets including OPV2V and V2XSet, supports various sensor modalities, and enables multi-GPU training. The framework implements deep learning models for collaborative perception where multiple vehicles share sensor information to improve detection accuracy.