Give AI agents persistent memory across conversations, users, and models.
MemMachine is an open-source memory layer for AI agents and LLM applications. It lets applications store and recall information from previous interactions so agents can maintain context instead of behaving like stateless chatbots. MemMachine supports different types of memory, including user profile information, short-term conversational context, and longer-term episodic memory. The stored information can persist across sessions, agents, restarts, and even model changes. Developers can integrate it with frameworks such as LangChain, LangGraph, LlamaIndex, and Google AI ADK. MemMachine can be run locally or in the cloud and is aimed at developers building personalized assistants, stateful agents, and applications that need reliable long-term user context.
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