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Can Apache Airflow handle production-grade agentic AI workloads?

Apache Airflow is not well-suited for production-grade agentic AI workloads. Its core design follows a DAG-first, data pipeline-focused framework specifically built for regularly scheduled, repeatable structured operational batch data tasks, unlike Catalyst and similar tools optimized for long-running agentic flows with essential probabilistic steps and stable durable state management. It remains ideally suited for its original core structured data pipeline use cases, its primary intended and effective specific deployment scope.

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