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Up to three tools. The table shows the data as-is, without picking a “best”.
| Field | dsh-agent-teams | Miller | superpowers-dsh |
|---|---|---|---|
| Platforms | DeepSeek Harness | Universal, MCP, Claude Code, Codex, Cursor | DeepSeek Harness |
| Local support | Yes | Yes | Yes |
| Paid API | No | No | No |
| License | MIT | BSD-2-Clause | MIT |
| Stars | 2386 | 10049 | 119 |
| Last activity | — | October 21, 2026 | — |
| Install complexity | يتطلب إصدار DSH متوافقًا وإعادة تشغيل | EASY | — |
| Category | Multi-Agent, Workflow | Workflow, Data | Multi-Agent, Testing, 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. | Ideal for developers, data analysts, and operators who need to clean a CSV export, inspect JSON Lines, or summarize a large file from the terminal without starting a Python project. Use it for quick, repeatable file processing; concurrent transactions and advanced visual analysis still call for a database or complementary analytics tool. | Best for DSH users who want reusable development workflow skills in their profile. It does not automate model or effort routing. |