Building Long-Term Memory in AI Agents with LangGraph and Mem0

**Building Long-Term Memory in AI Agents with LangGraph and Mem0**

Traditional AI agents use short-term context (aka the current conversation window) and often forget previous sessions after a chat ends. But what if we could give agents long-term memory. Building agents with memories of user preferences, facts, and history allows us to build more personalized and capable agents. This can be done by combining LangGraph – a stateful graph-based agent framework – with Mem0, a purpose-built memory layer. Using memories, an LLM agent can “remember” past information and leverage it...

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