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Up to three tools. The table shows the data as-is, without picking a “best”.
| Field | Miller | dsh-chrome | Superpowers |
|---|---|---|---|
| Platforms | Universal, MCP, Claude Code, Codex, Cursor | DeepSeek Harness | Claude Code, Codex, Cursor, OpenCode |
| Local support | Yes | Yes | Yes |
| Paid API | No | No | No |
| License | BSD-2-Clause | MIT | MIT |
| Stars | 10049 | 9 | 304147 |
| Last activity | October 21, 2026 | — | — |
| Install complexity | EASY | متوسط / Moderate | — |
| Category | Workflow, Data | Browser Automation, Security | Code Review, Multi-Agent, Testing, Workflow |
| Best use | 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. | 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. | Best for a developer or project owner working on a substantial feature or a difficult bug. It helps clarify requirements, approve a plan, and inspect tests and file changes. Its value is a visible path from decision to verification. A small text edit may not need the full workflow. |