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Types of AI Agents: From Reactive Systems to Multi-Agent Frameworks

Types of AI Agents: From Reactive Systems to Multi-Agent Frameworks

- AI agents function as autonomous entities that perceive environments and execute goal-oriented actions. - The evolution of agents ranges from basic reflex rules to learning systems that adapt through experience. - Multi-agent frameworks enable specialized AI entities to collaborate on complex, large-scale problems. - Organizations use advanced tools from Semrush to integrate these agentic capabilities into modern digital workflows.
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