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Up to three tools. The table shows the data as-is, without picking a “best”.
| Field | dsh-agent-teams | dsh-session-archive | Miller |
|---|---|---|---|
| Platforms | DeepSeek Harness | DeepSeek Harness | Universal, MCP, Claude Code, Codex, Cursor |
| Local support | Yes | Yes | Yes |
| Paid API | No | No | No |
| License | MIT | Apache-2.0 | BSD-2-Clause |
| Stars | 2386 | 9384 | 10049 |
| Last activity | — | September 26, 2026 | October 21, 2026 |
| Install complexity | يتطلب إصدار DSH متوافقًا وإعادة تشغيل | Easy | EASY |
| Category | Multi-Agent, Workflow | Memory, Security, Workflow | Workflow, Data |
| 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. | Use it when DSH sessions pile up and you need to identify old work, archive it first, then safely remove what is no longer needed while protecting running sessions. It fits recurring cleanup and finished projects; do not enable automatic deletion before previewing the policy and checking backups. | 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. |