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Up to three tools. The table shows the data as-is, without picking a “best”.
| Field | Dagu | dsh-task-board | goose |
|---|---|---|---|
| Platforms | Universal, MCP | DeepSeek Harness | Universal, MCP |
| Local support | Yes | Yes | Yes |
| Paid API | No | No | No |
| License | GPL-3.0 | Apache-2.0 | Apache-2.0 |
| Stars | 4491 | 9777 | 55907 |
| Last activity | October 28, 2026 | — | October 23, 2026 |
| Install complexity | سهل للبداية؛ يحتاج ضبط أمان قبل المشاركة / Easy to start; security configuration required before sharing | Intermediate | MEDIUM |
| Category | Workflow, DevOps, Monitoring | Multi-Agent, Workflow | Code Review, Multi-Agent, Workflow |
| 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 using DSH for recurring or connected work and wanting task state and execution evidence in one record. It pins the project, agent preset, and permission, then runs manually or through Host cron with a human gate for elevated access. It is not a fit for a frequently sleeping machine or unreviewed sensitive automation. | Best for an individual developer or small team that wants an AI agent to complete an inspectable task in a working copy: understand files, make a bounded change, and run a test. Start with manual approval and scope the folder and tools. Do not give it broad access to production or sensitive data. |