#345 · Primary category： AI Agents & Automation
dagu
Self-hostable workflow orchestrator for teams whose main work isn't orchestration. Declarative YAML over your scripts, SSH commands, containers, etc; keep workflows separate from business logic. One binary, no database. Alternative to Airflow / Cron / Job Scheduler.
Project last updated：08/29/26
GitHub Stars
3.8K
Forks
318
Contributors
89
License
GPL-3.0
Why we included this project
Dagu is for teams whose day-to-day work is scripts, runbooks, and on-prem jobs, and who would rather not stand up a data platform just to get scheduled execution. It wraps plain shell commands, Docker containers, Kubernetes jobs, and remote SSH commands into DAG-style workflows defined in declarative YAML, then handles scheduling, retries, human approvals, and run history for you. The whole thing is a single binary with a web UI and no external database or message broker, so it can run in an air-gapped or edge environment right where your credentials and data already live. What makes it interesting for AI-assisted operations is native MCP support and the ability to launch external coding-agent CLIs inside a workflow when a step genuinely needs a model. Teams that want Airflow-style orchestration without the heavy footprint, plus the occasional agent in the loop, get one tool that spans both.
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