AWS
Open source · Apache Airflow
Apache Airflow contributions for AI agents.
I contribute provider capabilities to Apache Airflow, with an emphasis on AI agent lifecycle orchestration, Kubernetes operations and the details that make integrations reliable in real DAGs.
Public GitHub snapshot · August 9, 2026
Now in review
Extending where Airflow can operate.
Kubernetes · Existing Pods
KubernetesPodExecOperator
Google Cloud · Vertex AI Agent Engine
Synchronous agent queries
Selected impact
One orchestration layer, three agent clouds.
Google Cloud
Vertex AI Agent Engine
Create · Get · Query · Update · DeletePR #68479Microsoft Azure
AI Foundry Agents
Create · Update · Run · DeletePR #68799These integrations let a DAG manage a cloud agent runtime as an explicit lifecycle: provision it, invoke or query it, update it when supported and clean it up. The Agentic Airflow Demo exercises the three paths through the same troubleshooting workflow. Beyond agent runtimes, the merged DmsModifyTaskOperator and DmsReloadTablesOperator make task modification and selective table reload first-class Airflow operations. The reload path includes synchronous and deferrable waits and an end-to-end AWS system test.
Contribution record