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Up to three tools. The table shows the data as-is, without picking a “best”.
| Field | dsh-agent-teams | Miller | restic |
|---|---|---|---|
| Platforms | DeepSeek Harness | Universal, MCP, Claude Code, Codex, Cursor | Universal |
| Local support | Yes | Yes | Yes |
| Paid API | No | No | No |
| License | MIT | BSD-2-Clause | BSD-2-Clause |
| Stars | 2387 | 10049 | 36757 |
| Last activity | — | October 21, 2026 | September 25, 2026 |
| Install complexity | يتطلب إصدار DSH متوافقًا وإعادة تشغيل | EASY | متوسط: CLI ومستودع وجدولة منفصلة / Moderate: CLI, repository, and separate scheduling |
| Category | Multi-Agent, Workflow | Workflow, Data | Security, 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. | 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 an individual developer or small team that needs encrypted, testable backups of project files and exported database dumps. It works with local or remote storage and can be scheduled by the operating system. It does not replace application-consistent database exports or recovery testing. |