This toolbox implements Hierarchical Localization for visual localization tasks, combining image retrieval with learned feature matching (SuperPoint+SuperGlue) for pose estimation and structure-from-motion. It is built on PyTorch and provides modular pipelines to reproduce state-of-the-art results on visual localization benchmarks. The project focuses on computer vision use cases rather than language or agent systems.