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Up to three tools. The table shows the data as-is, without picking a “best”.
| Field | Dagu | Task | Miller |
|---|---|---|---|
| Platforms | Universal, MCP | Universal, GitHub | Universal, MCP, Claude Code, Codex, Cursor |
| Local support | Yes | Yes | Yes |
| Paid API | No | No | No |
| License | GPL-3.0 | MIT | BSD-2-Clause |
| Stars | 4491 | 16314 | 10051 |
| Last activity | October 28, 2026 | — | October 21, 2026 |
| Install complexity | سهل للبداية؛ يحتاج ضبط أمان قبل المشاركة / Easy to start; security configuration required before sharing | سهل / Easy | EASY |
| Category | Workflow, DevOps, Monitoring | Workflow, DevOps | Workflow, Data |
| Best use | Best for a developer or small team with connected scripts that need schedules, history, and a clear failure point. It adds dependencies, retries, and an operations UI without an external database in single-server mode. A simple independent command may not need it, and some team controls such as additional users, SSO, RBAC, and audit logging currently require a paid license. | Best for a developer or small team whose project commands span languages, folders, and tools. It provides documented entry points that people and agents can use and review in Git. Existing scripts may be enough for a simple project; Task does not install project tools or sandbox their commands. | Ideal for developers, data analysts, and operators who need to clean a CSV export, inspect JSON Lines, or summarize a large file from the terminal without starting a Python project. Use it for quick, repeatable file processing; concurrent transactions and advanced visual analysis still call for a database or complementary analytics tool. |