| What it does | Open-source AI security verification
| Automatically fix failing Playwright scripts by investigating the live page and opening a GitHub pull request with a proposed code fix
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Open source
| Free
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| Pricing | Not given
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| Key features | - Scan model and code artifacts offline
- Probe and monitor live endpoints
- Grade recorded application runs
- Diff and compare security runs
- 58 security rules across build and runtime
- Python API for integration
- Custom rule creation with YAML or Python
- Cost estimation before probing
- Optional self-hosted collector
| - Automatically investigates failing Playwright scripts against the live page
- Opens GitHub pull requests with proposed code fixes
- Works with any browser provider
- Supports custom LLM provider API keys
- Integrates into existing Playwright projects without changing fixtures
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| What makes it different | - Fully offline artifact scanning with no telemetry or account required
- Unverified results never marked as clean; handles uncertainty explicitly
- Works with multiple model APIs and MCP servers regardless of model
- Re-grade recorded runs without rerunning the application
| - Keep existing Playwright scripts unchanged, only adding automatic repair after failures
- Free to use, no charges from Libretto
- Open source under MIT license
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 2 ● no change since last check | 27 ● no change since last check |
| Trust Flow (Majestic) | 2 | 8 |
| Citation Flow (Majestic) | 21 | 31 |
| Referring domains (Majestic) | 22 | 347 |