A biologically-inspired memory architecture for LLM agents combines six mechanisms with synthetic calibration to achieve 97.2% retention precision and 58% store reduction on issue-tracking data while matching raw retrieval accuracy on long-chat benchmarks.
Nature Reviews Neuroscience , volume =
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Human-Inspired Memory Architecture for LLM Agents
A biologically-inspired memory architecture for LLM agents combines six mechanisms with synthetic calibration to achieve 97.2% retention precision and 58% store reduction on issue-tracking data while matching raw retrieval accuracy on long-chat benchmarks.