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Up to three tools. The table shows the data as-is, without picking a “best”.
| Field | Task | Miller | goose |
|---|---|---|---|
| Platforms | Universal, GitHub | Universal, MCP, Claude Code, Codex, Cursor | Universal, MCP |
| Local support | Yes | Yes | Yes |
| Paid API | No | No | No |
| License | MIT | BSD-2-Clause | Apache-2.0 |
| Stars | 16277 | 10049 | 55590 |
| Last activity | — | October 21, 2026 | October 23, 2026 |
| Install complexity | سهل / Easy | EASY | MEDIUM |
| Category | Workflow, DevOps | Workflow, Data | Code Review, Multi-Agent, Workflow |
| 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. | 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 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. |