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Up to three tools. The table shows the data as-is, without picking a “best”.
| Field | uv | goose | dsh-task-board |
|---|---|---|---|
| Platforms | Universal | Universal, MCP | DeepSeek Harness |
| Local support | Yes | Yes | Yes |
| Paid API | No | No | No |
| License | MIT OR Apache-2.0 | Apache-2.0 | Apache-2.0 |
| Stars | 91072 | 55588 | 9384 |
| Last activity | October 20, 2026 | October 23, 2026 | — |
| Install complexity | Easy on supported systems; Homebrew must already be installed for this command. Windows and standalone installation options are explained in the guide. | MEDIUM | Intermediate |
| Category | Workflow, DevOps | Code Review, Multi-Agent, Workflow | Multi-Agent, Workflow |
| Best use | 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. | 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. | 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. |