PyCIL is a research toolbox for class-incremental learning, a machine learning paradigm where models must continuously learn from new classes without forgetting previously acquired knowledge. It implements and reproduces over 20 state-of-the-art methods from the literature, providing standardized training pipelines and evaluation protocols. The toolbox targets researchers working on continual, lifelong, and open-world learning scenarios.