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Up to three tools. The table shows the data as-is, without picking a “best”.
| Field | dsh-agent-teams | DuckDB | dsh-task-board |
|---|---|---|---|
| Platforms | DeepSeek Harness | Universal | DeepSeek Harness |
| Local support | Yes | Yes | Yes |
| Paid API | No | No | No |
| License | MIT | MIT | Apache-2.0 |
| Stars | 2386 | 42451 | 9384 |
| Last activity | — | September 28, 2026 | — |
| Install complexity | يتطلب إصدار DSH متوافقًا وإعادة تشغيل | سهل — حزمة Python أو ملف CLI تنفيذي واحد | Intermediate |
| Category | Multi-Agent, Workflow | Database | 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 an analyst, developer, or small team that needs to inspect and join large data files and rerun analysis locally. It adds reviewable SQL without database-server setup. It is not a multi-user transactional database for many small concurrent writes from 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. |