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Multi-agent systems are becoming a core enterprise architecture

Multi-agent systems went from a niche research
topic to the fastest-growing architecture pattern
in enterprise AI in less than eighteen months

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Common AI security risks

Multi-agent systems are becoming a core enterprise architecture

This whitepaper breaks down what a production multi-agent system requires, where it beats a single agent, and how the five leading orchestration frameworks compare on real tradeoffs.

What you'll learn

  • How multi-agent architecture works across its core layers: specialized agents, orchestration, communication protocols, and shared memory
  • Where multi-agent systems outperform single agents, and the five dimensions that tell you when to make the switch
  • The security controls that keep a compromised or malfunctioning agent from triggering a chain of real-world actions
  • A side-by-side comparison of LangGraph, CrewAI, AutoGen/AG2, Google ADK, and the OpenAI Agents SDK, with the best-fit use case for each
  • Why multi-agent systems repeat the same mistakes microservices made, only faster and at higher token cost

Download the guide to see which orchestration framework fits your workload.


Multi-agent systems are becoming a core enterprise architecture