Dagu
Local-first workflow orchestration in declarative YAML — one open-source binary with schedules, retries, approvals and a web UI.
About Dagu
Dagu is a local-first workflow orchestrator built for teams whose main work is not orchestration — the explicit alternative to standing up Airflow when what you need is a handful of scheduled scripts that retry properly and tell you when they fail. Workflows are declarative YAML with steps, dependencies, cron schedules, retry policies, approvals and logs, and the whole thing ships as a single open-source binary with a web UI and DAG visualisation. There is no external database and no framework to adopt: your existing scripts, containers and AI agents stay exactly as they are and Dagu runs them. It installs on Linux, macOS, Windows, Docker and Kubernetes via a script installer, Homebrew, npm or a container image, and the quickstart gets a two-step workflow running from the web UI in a few minutes. Executors cover Docker, SSH and HTTP. The licensing split is clean and worth understanding before adoption: the core engine is GPLv3 and free forever with unlimited servers, unlimited workers, full automation and monitoring, the web UI and up to two API keys. Paid self-host licences do not gate workflow features — they add the enterprise controls that a compliance review asks for, namely SSO via OIDC, role-based access control, audit logging, incident routing and standard email support, and are counted per server with workers unlimited. A live demo is available with published demo credentials.
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