by dagucloud · MCP Server · ★ 3.7k
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Docs | Examples | Support & Community Local-first Control Plane for Existing Ops Automation and AI Agent Workflows Dagu is a simple, lightweight workflow engine for small teams and private infrastructure. Single binary, file-based, and self-hosted, It can run shell commands, any scripts, containers, HTTP requests, SQL queries, SSH commands, sub-workflows, and AI agent steps. It runs as a single binary, stores state in local files by default, and adds scheduling, dependencies, retries, queues, logs, no
| Stars | 3,717 |
| Forks | 303 |
| Language | Go |
| Category | MCP Server |
| License | GPL-3.0 |
| Quality Score | 67.3803693530252/100 |
| Open Issues | 60 |
| Last Updated | 2026-08-09 |
| Created | 2022-04-22 |
| Platforms | go, mcp |
| Est. Tokens | ~26k |
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dagu is Local-first workflow orchestrator for teams whose main work isn't orchestration. Declarative YAML over your scripts, SSH commands, containers, and AI agents; keep workflows separate from business logi. It is categorized as a MCP Server with 3.7k GitHub stars.
dagu is primarily written in Go. It covers topics such as agentic-workflows, ai-agents, ai-workflows.
You can find installation instructions and usage details in the dagu GitHub repository at github.com/dagucloud/dagu. The project has 3.7k stars and 303 forks, indicating an active community.
dagu is released under the GPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to dagu on Agent Skills Hub include MCPJungle, nginx-ui, hexstrike-ai. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.