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Agentic AI systems combine large language models with planning, memory, and external tools to autonomously execute multi-step workflows. Key components include a reasoning engine, planning engine, memory store, tool router, and reflection mechanism. Popular foundation models are GPT, Claude, Gemini, and Llama. Multi-agent architectures are used in enterprise automation, software engineering, and cybersecurity.
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