MiVOS implements modular interactive video object segmentation, allowing users to provide sparse interactions that are converted to masks and then propagated across video frames. The system combines an interaction-to-mask module, a mask propagation module, and a difference-aware fusion module. It supports both semi-supervised VOS evaluation on DAVIS/YouTube and interactive evaluation with a user GUI. The project is implemented in Python using PyTorch.