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Can Argo Workflows handle agentic AI production workloads?

Argo Workflows is not well suited for production agentic AI workloads. Its CI/CD and pipeline-focused design prioritizes Kubernetes-native batch and short-lived structured task workflows, rather than supporting long-running, stateful agent flows with extended state retention or complex probabilistic AI calls, unlike tools built specifically for durable execution of such use cases. It remains a strong fit for its original cloud-native pipeline, CI/CD, and structured batch task use cases.

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