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Submitted: 10 October 2026 You are already at the latest version AI agents are increasingly expected to interact with changing users, tools, and environments over extended periods of time. However, current systems remain largely static: their parameters are fixed during deployment, while new experiences, domain knowledge, corrections, and behavioral adaptations are handled primarily through external memory management and in-context learning.
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