Dagu
No Change
assess
Dagu. `A lightweight workflow orchestrator that runs shell-based DAGs via a single binary and YAML definitions , worth assessing as a lower-ops alternative to Airflow or Argo for teams t We assess it under Platform in the garden.
Blurb
Local-first workflow engine with a Web UI for small teams. Define DAGs in a declarative YAML format. Self-contained and no DBMS required. Use any AI agent to manage your DAGs. - dagucloud/dagu
Summary
Dagu positions itself as a simpler, self-contained alternative to heavier orchestrators like Apache Airflow or Argo Workflows. Key traits:
- Single binary; no database required; state is stored on disk
- YAML-defined DAGs; each step can be a shell command, sub-DAG, or HTTP call
- Built-in web UI; visualize DAG structure, execution history, and logs
- Cron scheduling; native support without an external scheduler
- Low ops overhead; runs on a single VM or container without Kubernetes
Best suited for teams running DevSecOps pipelines, data engineering tasks, or automation workflows at modest scale who want Airflow-style DAG semantics without the infrastructure burden.