SuperGlue is a deep learning model that performs feature matching across image pairs using a Graph Neural Network combined with an Optimal Matching layer. It operates on SuperPoint keypoints and descriptors to identify correspondences between two images. The repository includes pretrained weights for both indoor (ScanNet) and outdoor (MegaDepth) environments, with the model serving as a middle-end component for context aggregation and match filtering in visual localization pipelines.