
Sentinel
LLM browser automation using 10x fewer tokens
- Open Source
- API, Web
- AutomationAI Browser ExtensionsDesign
- Open source
- Free forever
What is Sentinel?
Key features
LLM-powered browser automation
Uses AI models to understand and interact with web pages naturally, rather than relying on brittle selectors
Self-healing locators
Automatically adapts to minor changes in page structure without requiring manual updates
Parallel execution
Run multiple automation tasks concurrently for faster batch processing
Token-efficient
Uses Gemini Flash and similar models to reduce API costs compared to GPT-4o alternatives
OpenTelemetry support
Built-in observability and monitoring for tracking automation performance and debugging
Open-source
Code is publicly available, allowing inspection, modification, and self-hosting
Pros & cons
Advantages
- Significantly lower operating costs due to token-efficient model selection
- Self-healing capabilities reduce maintenance burden when websites update
- Parallel execution improves throughput for large-scale automation tasks
- Open-source nature provides transparency and flexibility for customisation
Limitations
- As an open-source project, support may be community-driven rather than commercial
- Reliance on LLM performance means results can vary based on model quality and page complexity
Use cases
Web scraping and data extraction from dynamic websites without writing brittle CSS selectors
Automated testing of web applications using natural language instructions
Monitoring and alerts for changes across multiple websites
Form filling and data entry automation at scale
Screenshot and content collection for competitive analysis or archival
Ready to try Sentinel?
Pricing
Free
Free
Full open-source access to Sentinel, self-hosting capability, all core features including self-healing locators and parallel execution
Get started with Sentinel
Click through to Sentinel and start using it now.
- Open source
- Free forever