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A replay-based continual learning, where models preserve past knowledge through stored exemplars or pseudo-samples. Implements Experience Replay (ER), Gradient Episodic Memory (GEM), and iCaRL. Provides modular dataset buffering, memory selection policies, and evaluation utilities for reproducible experiments on vision and NLP tasks.