LaVague vs Skyvern

Side-by-side comparison of two AI agent tools

Short answer

  • LaVague has had no commit in 20 months; Skyvern is actively maintained (1,313 commits in the last 90 days).
  • Skyvern is growing faster: +340 GitHub stars in the last 30 days vs +12 for LaVague.
  • Pick LaVague for: large Action Model framework to develop AI Web Agents. Pick Skyvern for: automate browser based workflows with AI.

From GitHub data refreshed daily.

LaVagueopen-source

Large Action Model framework to develop AI Web Agents

Automate browser based workflows with AI

Metrics

LaVagueSkyvern
Stars6.4k23.1k
Star velocity /mo12340.42105263157896
Commits (90d)01.3k
Releases (6m)010
Downloads (30d, npm + PyPI)142—
Overall score0.19641270720642640.8139691791150941

Pros

  • +Well-architected framework with clear separation between World Model (planning) and Action Engine (execution) components
  • +Includes specialized LaVague QA tooling that converts Gherkin specs into automated tests for QA engineers
  • +Strong open-source community adoption with 6,318 GitHub stars and active development
  • +基于视觉 LLMs 的智能识别,能适应网站布局变化,相比传统 XPath 方案更稳定可靠
  • +提供无代码工作流构建器,降低技术门槛,让非技术用户也能创建复杂的自动化流程
  • +与 Playwright 兼容的 SDK 设计,为开发者提供熟悉的接口和强大的 AI 增强功能

Cons

  • -Framework complexity may require significant learning curve for developers new to web automation
  • -Depends on external automation tools like Selenium or Playwright, adding infrastructure dependencies
  • -依赖大语言模型可能导致响应延迟和不可预测性,执行速度相比传统脚本较慢
  • -AI 模型的推理成本可能增加长期运维费用,特别是大规模自动化场景
  • -对复杂网站或特殊交互场景的处理能力仍需验证,可能存在理解偏差

Use Cases

  • •Automating multi-step web research tasks like gathering installation instructions or documentation
  • •QA test automation by converting business requirements in Gherkin format into executable test suites
  • •Building user-facing automation tools that can navigate websites and perform complex workflows autonomously
  • •电商网站数据采集和价格监控,自动适应不同网站的页面结构变化
  • •表单批量填写和提交,如保险申请、求职申请等重复性业务流程自动化
  • •网站功能测试和监控,自动验证关键业务流程的可用性和性能表现

FAQ

Which is more popular, LaVague or Skyvern?
Skyvern has more GitHub stars (23,130 vs 6,394).
Which is more actively developed, LaVague or Skyvern?
Skyvern had more commits in the last 90 days (1,313 vs 0).
Should I use LaVague or Skyvern?
Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.