Forget the hype. Real multi-agent systems often fail under production load. I’m comparing the orchestration stacks that actually hold up, focusing on debugging non-deterministic loops and state management
Everyone sells agent swarms like they are magic, but running them at scale is a headache. Coordinating multiple models builds a brittle web of dependencies
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Everyone loves the demo where three AI agents collaborate to solve a problem. But in production, the cracks show fast. I have seen enough architectures collapse when the orchestration layer fails to handle basic state consistency
Everyone loves multi-agent demos, but production is a different beast. You will quickly hit recursive tool-call loops that burn tokens and hang your state machine. These agents are not magical artifacts
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