GlueStick is a deep learning-based image matching system that jointly processes points and lines as visual primitives. It uses graph neural networks to establish correspondences between these elements across images, enabling robust matching for computer vision tasks such as 3D reconstruction, visual localization, and structure-from-motion. The model was accepted at ICCV 2023 and uses PyTorch as its deep learning framework.