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What breaks when using Airflow for long-lived agentic workflows?

Long-lived agentic workflows will face significant breakdowns when using standard production Airflow deployments. Traditional Airflow is built around fixed directed acyclic graphs and recurring scheduled batch jobs, not designed to effectively handle critical partial failures, sustained long-term state retention, or probabilistic branching over extended uninterrupted runtime periods. This does not undermine its suitability for its original intended core targeted use cases like routine scheduled enterprise data pipeline workloads.

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