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Up to three tools. The table shows the data as-is, without picking a “best”.
| Field | dsh-context | goose | uv |
|---|---|---|---|
| Platforms | DeepSeek Harness | Universal, MCP | Universal |
| Local support | Yes | Yes | Yes |
| Paid API | No | No | No |
| License | Apache-2.0 | Apache-2.0 | MIT OR Apache-2.0 |
| Stars | 3473 | 55588 | 91072 |
| Last activity | — | October 23, 2026 | October 20, 2026 |
| Install complexity | تثبيت إضافة وتشغيل dsh web | MEDIUM | Easy on supported systems; Homebrew must already be installed for this command. Windows and standalone installation options are explained in the guide. |
| Category | DevOps | Code Review, Multi-Agent, Workflow | Workflow, DevOps |
| Best use | For DSH developers diagnosing context growth, tool outputs, and compaction in long sessions. It estimates category composition and does not compact context automatically. | 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. | 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. |