AISquare Studio builds the governance layer for AI agents. We create open-source tools that record why AI decisions are made, enforce policies on what agents can do, and give humans structured workflows to review, approve, or intervene — without replacing your existing agent framework.
Think of us as the system of record for AI decisions, the same way financial systems track transactions.
Except the transactions are "the AI decided to email your CEO at 3 AM."
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Full decision audit trails for AI agents — every action logged, every policy enforced, every override documented. |
Turn plain-English test descriptions into real Playwright tests — powered by AI, triggered from your PRs. |
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One terminal over your coding agents — a manager agent plans and runs coders, testers and reviewers, with memory that persists across sessions. |
Anything-to-anything connector framework — one Source or Sink per service instead of N² bespoke integrations. |
Click on a card to explore the project. ⭐ Star your favorites to show support!
We welcome contributions across the entire ecosystem! Look for issues tagged "good first issue" across any of our repos — it's the perfect entry point.
| Channel | Link |
|---|---|
| 📖 Documentation | docs.aisquare.studio |
| 🔌 API Reference | docs.aisquare.studio/docs/api-reference |
| 🌐 Website | aisquare.studio |
| 💡 Feedback | feedback.aisquare.studio |
| 🔒 Security | Responsible Disclosure |
| ✉️ Email | bots@aisquare.com |
Built with ❤️ by the AISquare Studio team — because your AI agents deserve accountability.
