AIBullisharXiv – CS AI · May 127/10
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Human-Inspired Memory Architecture for LLM Agents
Researchers present a biologically-inspired memory architecture for LLM agents that addresses persistent memory management across long interaction horizons. The system incorporates six cognitive mechanisms including sleep-phase consolidation and interference-based forgetting, achieving 97.2% retention precision with 58% storage reduction on a VSCode dataset and matching retrieval accuracy on streaming evaluations.