Multi-agent systems often break long before they hit production. I compared leading orchestration stacks on their error handling and state management. Stop chasing demo-level performance—start building for the reality of distributed agent failures.
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Most agent tools shine in demos but fail at scale. We tested the main stacks, noting how they handle real production errors. If you lead an AI team, read our study on what breaks when you move your agents from a local machine to a live, complex system.
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