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Up to three tools. The table shows the data as-is, without picking a “best”.
| Field | goose | dsh-task-board | act |
|---|---|---|---|
| Platforms | Universal, MCP | DeepSeek Harness | GitHub |
| Local support | Yes | Yes | Yes |
| Paid API | No | No | No |
| License | Apache-2.0 | Apache-2.0 | MIT |
| Stars | 55588 | 9384 | 72435 |
| Last activity | October 23, 2026 | — | — |
| Install complexity | MEDIUM | Intermediate | — |
| Category | Code Review, Multi-Agent, Workflow | Multi-Agent, Workflow | Testing, Git, 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. | Best for a developer or small team using DSH for recurring or connected work and wanting task state and execution evidence in one record. It pins the project, agent preset, and permission, then runs manually or through Host cron with a human gate for elevated access. It is not a fit for a frequently sleeping machine or unreviewed sensitive automation. | Best for a developer or small team that repeatedly edits GitHub Actions workflows and wants to test a job before pushing. It provides a local run log, while a final GitHub check remains necessary. It is not suitable when exact hosted-runner parity is required. |