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Up to three tools. The table shows the data as-is, without picking a “best”.
| Field | dsh-agent-teams | dsh-task-board | goose |
|---|---|---|---|
| Platforms | DeepSeek Harness | DeepSeek Harness | Universal, MCP |
| Local support | Yes | Yes | Yes |
| Paid API | No | No | No |
| License | MIT | Apache-2.0 | Apache-2.0 |
| Stars | 2386 | 9384 | 55588 |
| Last activity | — | — | October 23, 2026 |
| Install complexity | يتطلب إصدار DSH متوافقًا وإعادة تشغيل | Intermediate | MEDIUM |
| Category | Multi-Agent, Workflow | Multi-Agent, Workflow | Code Review, Multi-Agent, Workflow |
| Best use | For development work that can be divided into dependent tasks and reviewed as a plan before agents start. Monitor outputs and model costs; team state is not coordinated across separate processes. | 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. |