skyvern (Skyvern-AI/skyvern) is an open-source AI project on GitHub. Repository summary: Automate browser based workflows with AI Its focus includes workflow automation, image and vision workflows. It is suitable for extension, integration, and iterative delivery in real workflows.
License
AGPL-3.0
Stars
21,757
Homepage
https://www.skyvern.com/Features
- Core capability: Automate browser based workflows with AI
- Supports orchestrated automation flows and scheduling
- Supports image generation, editing, or vision understanding
- Repository: Skyvern-AI/skyvern
- Primary language: Python
- Open-source license: AGPL-3.0
Use Cases
- Used for cross-system process automation and operations efficiency
- Used for visual content production and model experimentation
- Build internal AI workflow prototypes with skyvern
- Validate skyvern in production-like engineering scenarios
- Building enterprise process automation
- Cross-system collaborative task execution
FAQ
Teams should first define integration boundaries and call patterns, then map repository capabilities into concrete interfaces, parameters, and access rules. GitHub repository: https://github.com/Skyvern-AI/skyvern. Community traction is around 21,757 stars. License: AGPL-3.0.
It usually works as an execution component or capability layer, with common deployment fits such as: Used for cross-system process automation and operations efficiency, Used for visual content production and model experimentation, Build internal AI workflow prototypes with skyvern.
