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Up to three tools. The table shows the data as-is, without picking a “best”.
| Field | Task | dsh-chrome | Miller |
|---|---|---|---|
| Platforms | Universal, GitHub | DeepSeek Harness | Universal, MCP, Claude Code, Codex, Cursor |
| Local support | Yes | Yes | Yes |
| Paid API | No | No | No |
| License | MIT | MIT | BSD-2-Clause |
| Stars | 16277 | 9 | 10049 |
| Last activity | — | — | October 21, 2026 |
| Install complexity | سهل / Easy | متوسط / Moderate | EASY |
| Category | Workflow, DevOps | Browser Automation, Security | Workflow, Data |
| Best use | Best for a developer or small team whose project commands span languages, folders, and tools. It provides documented entry points that people and agents can use and review in Git. Existing scripts may be enough for a simple project; Task does not install project tools or sandbox their commands. | Best for a developer debugging a local or test web UI who wants a DSH agent to see the page and network evidence in the same session. It reduces manual copying and supports interactive inspection after an explicit request. Avoid it for sensitive production accounts or if broad browser permissions are unacceptable. | 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. |