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Up to three tools. The table shows the data as-is, without picking a “best”.
| Field | goose | dsh-session-archive | uv |
|---|---|---|---|
| Platforms | Universal, MCP | DeepSeek Harness | Universal |
| Local support | Yes | Yes | Yes |
| Paid API | No | No | No |
| License | Apache-2.0 | Apache-2.0 | MIT OR Apache-2.0 |
| Stars | 55588 | 9384 | 91072 |
| Last activity | October 23, 2026 | September 26, 2026 | October 20, 2026 |
| Install complexity | MEDIUM | Easy | Easy on supported systems; Homebrew must already be installed for this command. Windows and standalone installation options are explained in the guide. |
| Category | Code Review, Multi-Agent, Workflow | Memory, Security, Workflow | Workflow, DevOps |
| Best use | 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. | 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. | 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. |