A new survey outlines an evolutionary framework for memory mechanisms in Large Language Model (LLM) agents, highlighting three stages: Storage, Reflection, and Experience. By integrating insights from both engineering and cognitive science, the research aims to provide a roadmap for developing advanced LLM agents capable of continual learning and adaptation in dynamic environments.