Overview
Research summary
Skyvern is a browser workflow automation platform that combines model reasoning, computer vision, and browser control. It can interpret page elements and carry out multi-step tasks through an API, a Playwright-compatible SDK, or a visual workflow builder. The repository includes the application needed to run workflows locally or on self-managed infrastructure. Its core implementation uses AGPL-3.0. The managed Skyvern Cloud offering supplies additional infrastructure and anti-bot capabilities that the project explicitly distinguishes from the open repository.
Repository summary
- Stars
- Unavailable
- Open issues
- Unavailable
- Last push
- Unavailable
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Version
- Unavailable
Recorded catalogue figures. View repository data and provenance →
Classification
Pricing & services
Paid services available
The provider offers paid products or services. Free options may also be available.
Commercial offering checked 2026-10-02.
Licence scope
Implementation
Recorded implementation details and interfaces for Skyvern.
Implementation details
Python automation service and SDK with a web workflow interface
- Languages
- Python
- Repository type
- source
Recorded interfaces and capabilities
Licence scope
Repository
Repository snapshots, release information and recorded maintenance signals.
Repository snapshot
- Stars
- Unavailable
- Open issues
- Unavailable
- Last push
- Unavailable
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Archived
- Not recorded
Repository activity is a snapshot, not a quality or popularity ranking. It combines recent-push freshness (50%), 90-day commits (30%) and issue pressure (20%).
Maintenance and provenance
- Catalogue snapshot
- 2026-10-06
Documentation
Recorded references and research provenance for this entry.
Recorded sources 5
- https://www.skyvern.com Project page · Research reference · Commercial offering evidence
- https://github.com/Skyvern-AI/skyvern Linked repository · Research reference
- https://github.com/Skyvern-AI/skyvern/blob/main/README.md Research reference
- https://github.com/Skyvern-AI/skyvern/blob/main/LICENSE Research reference
- https://www.skyvern.com/pricing Commercial offering evidence
Research metadata
- Research date
- 2026-10-02
- Catalogue snapshot
- 2026-10-06
Community & social 3 channels
Communities
- Discorddiscord.gg/fG2XXEuQX3Official
Social & updates
- Xx.com/skyvernaiOfficial
- LinkedInwww.linkedin.com/company/skyvernOfficial