MemU

MemU is an agentic memory layer designed specifically for large language model (LLM) applications, such as AI companions and chatbots. It provides a structured way to organize, link, and evolve AI memories, enabling more accurate and context-aware interactions. Key features include higher retrieval accuracy, faster response times, and reduced operational costs through optimized memory management. Use cases include building intelligent conversational agents, autonomous AI systems, and personalized AI assistants that learn and adapt over time. As an open-source framework, it supports integration with various LLM platforms and is ideal for developers and researchers working on advanced AI projects.