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dagucloud/dagu

A local-first 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. Your Workflow Operator handles creating and debugging workflows.

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What it does

Dagu is a workflow automation tool that lets teams define, schedule, and run sequences of tasks — like automated pipelines for data processing, deployments, or repetitive operations — using simple configuration files and a single downloadable program, no complex infrastructure required. It now includes a built-in AI assistant that can create and fix these workflows from plain English instructions, and even monitors them via Slack or Telegram.

Why it matters

As teams increasingly need automation without the cost and complexity of enterprise platforms like Airflow or Temporal, tools like Dagu represent a growing market for 'lightweight orchestration' — letting small teams punch above their weight operationally without hiring DevOps specialists. The AI-native angle is particularly significant: embedding an operator that can debug and recover failing workflows autonomously directly reduces the on-call burden, which is a real pain point teams will pay to solve.

27Active

On the radar — signal detected

Stars
3.2k
Forks
250
Contributors
70
Language
Go

Score updated Apr 6, 2026

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