This lesson explores how AI agents utilize different memory types—semantic, episodic, and procedural—similar to human memory, leveraging LangMem and LangGraph libraries within the Langchain framework. By efficiently storing and retrieving this information, agents personalize interactions, learn from past experiences, and adapt their behavior for improved performance.