Haupt is a component of the Polyaxon MLOps platform that handles model lineage tracking, experiment metadata, and artifact management. It provides APIs for recording and querying ML experiment runs, streams metrics and series data, and offers sandbox and notebook services for interactive ML development. The service supports integration with deep learning frameworks like TensorFlow and PyTorch for tracking model training and artifacts.