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How to Add Memory to an AI Agent Using Python
1. What Is Memory in an AI Agent? Memory allows an AI Agent to remember information from previous interactions and use that information in future conversations. Without memory, an AI Agent generally treats each interaction as a new conversation unless previous context is explicitly provided. For example: Later: This happens because the agent does not have access to the previous conversation context. With memory: Later: So, memory allows an AI Agent to retain and reuse relevant information across interactions. 2. Why Do We Need Memory in AI Agents? Explain the problems without memory: 3. How Does Memory Work in an AI Agent? Explain the basic flow: User → Agent →…