Task Output Capture And Inter Task Communication

via “task output capture and inter-task communication”

A lightweight workflow engine built the way it should be: declarative, file-based, self-contained, air-gapped ready. One binary that scales from laptop to distributed cluster. Used as a sovereign AI-agent orchestration infrastructure.

Unique: Built-in output capture and variable injection for inter-task communication — tasks write to stdout and Dagu automatically parses and injects output as environment variables for downstream tasks, enabling data flow without external storage

vs others: Simpler than Airflow's XCom (no database required) and more direct than message queue-based systems because data flows through environment variables and stdout parsing