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Trustworthy memory search can significantly reduce vulnerabilities in personal AI agents without compromising their long-term memory utility.
LLM agents with long-term memory exhibit "tool-drift," where personality biases stored in memory silently hijack tool calls, even when irrelevant to the task at hand.