Compare
Up to three tools. The table shows the data as-is, without picking a “best”.
| Field | dsh-session-archive | Miller | uv |
|---|---|---|---|
| Platforms | DeepSeek Harness | Universal, MCP, Claude Code, Codex, Cursor | Universal |
| Local support | Yes | Yes | Yes |
| Paid API | No | No | No |
| License | Apache-2.0 | BSD-2-Clause | MIT OR Apache-2.0 |
| Stars | 9384 | 10049 | 91076 |
| Last activity | September 26, 2026 | October 21, 2026 | October 20, 2026 |
| Install complexity | Easy | EASY | Easy on supported systems; Homebrew must already be installed for this command. Windows and standalone installation options are explained in the guide. |
| Category | Memory, Security, Workflow | Workflow, Data | Workflow, DevOps |
| Best use | 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. | 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. |