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, runs on limited H/W resources. Alternative to Airflow / Cron / Job Scheduler.
README
Dagu is a local-first workflow engine for ops automation and AI-assisted operations. It is open source and self-hostable: a single binary with a built-in Web UI, no external database or message broker, running on Linux / Mac / Windows. Define DAGs in a declarative YAML format. It natively supports shell commands, Docker containers, Kubernetes Jobs, remote commands via SSH, external coding-agent CLIs through harness.run, and more through Dagu Actions.
Dagu turns existing scripts, runbooks, and agent-driven jobs into production workflows with scheduling, retries, approvals, and run history. It runs where your data and credentials live: on-prem, air-gapped, edge, or cloud, and scales from a single node to a distributed worker fleet.
Highlights:
harness.run when workflows need AI assistance.For a quick look at how workflows are defined, see the examples.
<div align="center"> <img src="./assets/images/dagu-demo.gif" width="720" alt="Dagu demo showing the cockpit kanban view and YAML workflow editing"> </div>| Run Details | Step Logs | |---|---| | | |
Try it live: Live Demo (credentials: demouser / demouser)
Traditional Orchestrator Dagu
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