An agent loop is a continuous cycle where an autonomous system observes its environment, processes data, decides on actions, and executes them to achieve goals. Used in AI, robotics, and software automation, it powers real-time decision-making. Developers, data scientists, and businesses benefit by creating adaptive systems that learn and respond without human intervention.
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