AI RESEARCH
AMA: Adaptive Memory via Multi-Agent Collaboration
arXiv CS.AI
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ArXi:2601.20352v3 Announce Type: replace The rapid evolution of Large Language Model (LLM) agents has necessitated robust memory systems to cohesive long-term interaction and complex reasoning. Benefiting from the strong capabilities of LLMs, recent research focus has shifted from simple context extension to the development of dedicated agentic memory systems. However, existing approaches typically rely on rigid retrieval granularity, accumulation-heavy maintenance strategies, and coarse-grained update mechanisms.