Skyvern-AI/skyvern
Automate browser based workflows with AI
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
5 releases in the last 90 days, the latest 18 days ago, with 92 contributors on GitHub.
Peaked at #9 in the weekly ranking the week of Nov 16, its best in the past year.
Use Cases & Benefits
- Automate browser-based workflows using large language models and computer vision to interact with websites without relying on brittle selectors.
- Provides robust automation that adapts to website layout changes and can operate on unseen websites by visually understanding page elements.
- Use for automating complex form filling and data extraction tasks across multiple websites without custom scripting.
- Use for building workflows that chain multiple browser tasks like purchasing products or downloading invoices automatically.
- Use for integrating AI-driven browser automation with RPA tools and platforms like Zapier, Make.com, and N8N for enterprise automation.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
AGPL 3.0
Network copyleft: like the GPL, and also triggered by offering the software over a network.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
- AGPL-style copyleft also applies when the software is offered over a network.
General guidance from repository metadata, not legal advice. How we score
From the README
🐉 Automate Browser-based workflows using LLMs and Computer Vision 🐉
Skyvern automates browser-based workflows using LLMs and computer vision. It provides a simple API endpoint to fully automate manual workflows on a large number of websites, replacing brittle or unreliable automation solutions.
Traditional approaches to browser automations required writing custom scripts for websites, often relying on DOM parsing and XPath-based interactions which would break whenever the website layouts changed.
Instead of only relying on code-defined XPath interactions, Skyvern relies on Vision LLMs to learn and interact with the websites.
Skyvern was inspired by the Task-Driven autonomous agent design popularized by BabyAGI and AutoGPT -- with one major bonus: we give Skyvern the ability to interact with websites using browser automation libraries like Playwright.
Skyvern uses a swarm of agents to comprehend a website, and plan and execute its actions:
A detailed technical report can be found here.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
2.2K+98
Open issues
293+73
Compared with peers in AI
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| D4Vinci/Scrapling | 101.1K | +6.3K | 75 | 6 days ago |
| thedotmack/claude-mem | 115.8K | +4.7K | 75 | today |
| heygen-com/hyperframes | 82.3K | +4.0K | 75 | today |
| harry0703/MoneyPrinterTurbo | 142.0K | +3.8K | 75 | 3 days ago |
| github/spec-kit | 149.2K | +2.6K | 75 | today |
| Skyvern-AI/skyvern | 23.3K | — | 64 | 18 days ago |
| Category median | 115.8K | +4.0K | 75 | — |
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