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AI / Agentic AI Interview Questions

What is a Multi-Agent System?

A Multi-Agent System splits a complex task across several specialized agents rather than relying on a single agent to handle everything itself.

  • Each agent can focus on a narrower responsibility, such as research, coding, or review
  • Agents can run sequentially, in parallel, or under a hierarchical structure with a coordinating agent
  • Specialization often makes the overall system faster and more capable than one generalist agent trying to do it all

The trade-off is added coordination complexity, agents need a way to hand off context and results to each other reliably, which is exactly the kind of problem orchestration frameworks and protocols like MCP are designed to address.

What is the main idea behind a Multi-Agent System?
What trade-off does a Multi-Agent System introduce?

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