AI agents differ from chatbots by autonomously selecting goals, reasoning, and executing multi-step tasks. These systems rely on a loop of reasoning, planning, acting, and observing to achieve specific objectives. Planning layers break complex goals into subgoals, while memory components maintain context across sessions. Agents use external tools like APIs and databases to perform real-world actions beyond text generation. Production systems require careful governance, including observability and human oversight, to ensure safety and accuracy.
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