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Up to three tools. The table shows the data as-is, without picking a “best”.
| Field | dsh-agent-teams | Task | DuckDB |
|---|---|---|---|
| Platforms | DeepSeek Harness | Universal, GitHub | Universal |
| Local support | Yes | Yes | Yes |
| Paid API | No | No | No |
| License | MIT | MIT | MIT |
| Stars | 2386 | 16277 | 42451 |
| Last activity | — | — | September 28, 2026 |
| Install complexity | يتطلب إصدار DSH متوافقًا وإعادة تشغيل | سهل / Easy | سهل — حزمة Python أو ملف CLI تنفيذي واحد |
| Category | Multi-Agent, Workflow | Workflow, DevOps | Database |
| 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 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. | 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. |