Skyvern
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LLM- and computer-vision-driven browser automation agent that acts on websites via visual understanding rather than fixed DOM selectors, exposed as a Playwright-compatible SDK plus a no-code workflow builder.
Key Features
Multi-Agent Single Agent Human-in-the-Loop Streaming Async Support Short-Term Memory Long-Term Memory Custom Tools MCP Protocol Web Browsing File System Access Structured Output DAG Workflows Visual Builder CLI API Server Self-Hosted Cloud Hosted
Community Feedback
Strengths
- Vision-based navigation is resilient to website layout changes compared to selector-based RPA
- Playwright-compatible API lets teams mix traditional selectors with AI-augmented actions incrementally
- Includes a no-code workflow builder for non-technical users alongside the SDK
Weaknesses
- AGPL-3.0 licensing requires careful review before embedding in a closed-source commercial SaaS product
- Best anti-bot/CAPTCHA-solving capability is gated behind the paid managed cloud offering
- Vision-LLM-driven actions can be slower and costlier per step than hand-written selectors
Skyvern Details
| Organization | Skyvern AI, Inc. |
| Organization Type | Company |
| Funding | Seed |
| Category | Ready-to-Use |
| Subcategory | Browser automation |
| Deployment | Hybrid |
| Primary Language | Python |
| Runtime | Python 3.11-3.13; Node.js for the UI/TypeScript client |
| License | AGPL-3.0 |
| Commercial Use | Copyleft |
| Install Command | pip install "skyvern[all]" |
| GitHub Stars | 22,563 |
| GitHub Forks | 2,113 |
| Open Issues | 225 |
| Contributors | 90 |
| Last Commit | 2026-07-23 |
| First Release | 2024-03-17 |
| Release Cadence | Frequent (roughly weekly releases) |
| Maturity | Beta |
| Pricing Model | Open core |
| Free Tier | Full core automation engine is open source and free to self-host (AGPL-3.0) |
| Self-Hosted Free | Yes |
| Cost Model | free self-hosted (open core) + usage-based Skyvern Cloud with bundled anti-bot/proxy/CAPTCHA solving |
| Community Size | Large (22.6k GitHub stars) |
| Community Activity | Very active |
| Sentiment | Positive |
| GPU Required | No |
| Research Date | 2026-07-23 |
| LLM Providers | OpenAI, Anthropic, Google Gemini, Azure OpenAI |
| API Keys Required | LLM provider API key (vision-capable model) |
Use Cases
- Filling out forms and applying to sites (job applications, government/procurement portals) end-to-end
- Extracting structured data from pages with a JSON schema
- Multi-step workflow automation that survives site redesigns without script rewrites
- Automated login flows including 2FA and password-manager (Bitwarden, 1Password) integration
When to Use
Best for: Teams automating browser workflows across many different, changing websites (forms, procurement, data entry) without maintaining per-site selectors
Avoid when: You're building a closed-source commercial SaaS product and cannot accept AGPL-3.0's network-copyleft obligations
Original data from HuggingFace, Arena and various public git repos.
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Release v20260328a