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Up to three tools. The table shows the data as-is, without picking a “best”.
| Field | dsh-agent-teams | goose | Backlog.md |
|---|---|---|---|
| Platforms | DeepSeek Harness | Universal, MCP | Universal, Codex, Claude Code, Cursor |
| Local support | Yes | Yes | Yes |
| Paid API | No | No | No |
| License | MIT | Apache-2.0 | MIT |
| Stars | 2386 | 55590 | 7131 |
| Last activity | — | October 23, 2026 | — |
| Install complexity | يتطلب إصدار DSH متوافقًا وإعادة تشغيل | MEDIUM | Easy — npm, Bun, Homebrew, or Nix |
| Category | Multi-Agent, Workflow | Code Review, Multi-Agent, Workflow | Multi-Agent, Git, Workflow |
| Best use | For development work that can be divided into dependent tasks and reviewed as a plan before agents start. Monitor outputs and model costs; team state is not coordinated across separate processes. | 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 an individual developer or small team using coding agents and wanting to review the specification and plan before code. It keeps tasks, acceptance criteria, and decisions inside the project and exposes them through CLI, a local browser, or MCP. It is not a replacement for a centralized enterprise SaaS board with organization-wide permissions and reporting. |