✨MemMA: Coordinating the Memory Cycle through Multi-Agent Reasoning and In-Situ Self-Evolution 📝 Summary: MemMA is a multi-agent framework that coordinates the memory cycle in LLM agents. It uses a Meta-Thinker for strategic guidance and in-situ self-evolving repair for memory construction and retrieval. MemMA consistently outperforms existing baselines. 🔹 Publication Date: Published on Mar 19 🔹 Paper Links: • arXiv Page: https://arxiv.org/abs/2603.18718 • PDF: https://arxiv.org/pdf/2603.18718 • Github: https://github.com/ventr1c/memma ================================== For more data science resources: ✓ https://t.me/DataScienceT #LLM #MultiAgentSystems #AIMemory #AIResearch #ArtificialIntelligence