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Up to three tools. The table shows the data as-is, without picking a “best”.
| Field | dsh-agent-teams | goose | uv |
|---|---|---|---|
| Platforms | DeepSeek Harness | Universal, MCP | Universal |
| Local support | Yes | Yes | Yes |
| Paid API | No | No | No |
| License | MIT | Apache-2.0 | MIT OR Apache-2.0 |
| Stars | 2386 | 55588 | 91072 |
| Last activity | — | October 23, 2026 | October 20, 2026 |
| Install complexity | يتطلب إصدار DSH متوافقًا وإعادة تشغيل | MEDIUM | Easy on supported systems; Homebrew must already be installed for this command. Windows and standalone installation options are explained in the guide. |
| Category | Multi-Agent, Workflow | Code Review, Multi-Agent, Workflow | Workflow, 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 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. | For a Python developer or small team that wants a shared setup rather than relying on manually installed packages. Commit the dependency definition and lockfile, then sync the environment and run commands with uv. It does not isolate the operating system or untrusted code, or replace application compatibility tests. |