AI RESEARCH
FSFM: A Biologically-Inspired Framework for Selective Forgetting of Agent Memory
arXiv CS.AI
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ArXi:2604.20300v2 Announce Type: new For LLM agents, memory management critically impacts efficiency, quality, and security. While much research focuses on retention, selective forgetting--inspired by human cognitive processes (hippocampal indexing/consolidation theory and Ebbinghaus forgetting curve)--remains underexplored.