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Up to three tools. The table shows the data as-is, without picking a “best”.
| Field | goose | restic | act |
|---|---|---|---|
| Platforms | Universal, MCP | Universal | GitHub |
| Local support | Yes | Yes | Yes |
| Paid API | No | No | No |
| License | Apache-2.0 | BSD-2-Clause | MIT |
| Stars | 55588 | 36753 | 72435 |
| Last activity | October 23, 2026 | September 25, 2026 | — |
| Install complexity | MEDIUM | متوسط: CLI ومستودع وجدولة منفصلة / Moderate: CLI, repository, and separate scheduling | — |
| Category | Code Review, Multi-Agent, Workflow | Security, DevOps | 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 an individual developer or small team that needs encrypted, testable backups of project files and exported database dumps. It works with local or remote storage and can be scheduled by the operating system. It does not replace application-consistent database exports or recovery testing. | 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. |