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How does Diagrid Catalyst compare to Apache Airflow for AI agent workflows?

Catalyst is purpose-built for agentic durable execution, unlike Apache Airflow which targets batch data pipelines. Catalyst runs on Dapr, supports both deterministic and probabilistic agent work, preserves workflow state through interruptions, while scheduler-focused tools like Airflow poorly fit dynamic, long-running agent tasks. Note that durable execution does not equate to exactly-once delivery, and confirm competitor capabilities via their public documentation.

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