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Evidence record 5507 · automatically gathered

FSFM: A Biologically-Inspired Framework for Selective Forgetting of Agent Memory

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. We argue that in resource-constrained environments, a well-designed forgetting mechanism is as crucial as remembering, delivering benefits across three dimensions: (1) efficiency via intelligent memory pruning,

Record details

Published: 22 April 2026
Source: arXiv
Category: Research
Topics: Agents & autonomy · Environment · Biotech
Retrieved: 14 July 2026

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How to cite this record

ethics.ai (22 April 2026), “FSFM: A Biologically-Inspired Framework for Selective Forgetting of Agent Memory,” evidence record 5507, https://ethics.ai/record/5507 (originally published by arXiv).

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