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Up to three tools. The table shows the data as-is, without picking a “best”.
| Field | dsh-agent-teams | DuckDB | Hurl |
|---|---|---|---|
| Platforms | DeepSeek Harness | Universal | Universal |
| Local support | Yes | Yes | Yes |
| Paid API | No | No | No |
| License | MIT | MIT | Apache-2.0 |
| Stars | 2386 | 42451 | 19271 |
| Last activity | — | September 28, 2026 | October 17, 2026 |
| Install complexity | يتطلب إصدار DSH متوافقًا وإعادة تشغيل | سهل — حزمة Python أو ملف CLI تنفيذي واحد | Easy; API and CLI knowledge required |
| Category | Multi-Agent, Workflow | Database | Testing, DevOps |
| 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 that wants repeatable API checks with explicit conditions stored beside the code. It links request data and identifies failing assertions without repeating manual inspection. It does not replace browser tests or test-environment setup; curl may be enough for a one-off request. |