Persistent Agents

Persistent agents are AI systems designed to operate continuously over long periods, maintaining state and memory across multiple interactions rather than resetting after each task. Unlike traditional single-task AI systems, persistent agents can learn from past decisions, adapt their behavior based on accumulated experience, and operate with increasing autonomy. For compliance and governance teams, persistent agents create novel risks around accountability, audit trails, and behavioral drift: as these systems learn and evolve, their decision-making can become harder to predict and explain, raising questions about who bears responsibility when a persistent agent makes a problematic choice, how to detect when its behavior has shifted in ways that violate policy, and whether your current monitoring practices can keep pace with a system that's continuously changing its own logic.

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