DEVA (Decoupled Video Segmentation) is a computer vision system for tracking and segmenting arbitrary objects in videos across extended time periods. It uses a decoupled architecture combining image-level segmentation with tracking mechanisms, supporting text-prompted queries via models like GroundingDINO. The system enables open-vocabulary segmentation without fine-tuning and allows users to plug in custom image segmentation models.