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Multi-agent orchestration refers to the design and coordination of multiple autonomous agents working together to achieve complex tasks. Rather than relying on a single AI agent, a system employs several specialized agents (e.g. for planning, execution, analysis, content generation), coordinated via orchestration logic (and often protocols like MCP) to decompose tasks, run subtasks in parallel or sequentially, manage context, and compose results. This enables higher scalability, specialization, and robust automation.
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