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.
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