memU is an open-source memory framework designed for AI agents and multi-agent systems. It enables agents to build and maintain persistent personal memory across interactions, improving context awareness and decision-making over time.
Built by the NevaMind-AI team, memU helps developers implement memory management in their AI applications, allowing agents to learn from past interactions and maintain stateful conversations. Ideal for teams building conversational AI, autonomous agents, and systems requiring long-term context retention.
