Which is more popular, LaVague or Stagehand?

Stagehand has more GitHub stars (25,492 vs 6,394).

Which is more actively developed, LaVague or Stagehand?

Stagehand had more commits in the last 90 days (184 vs 0).

Should I use LaVague or Stagehand?

Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.

LaVague vs Stagehand

Side-by-side comparison of two AI agent tools

LaVagueopen-source

Large Action Model framework to develop AI Web Agents

Stagehandopen-source

The SDK to extract data and interact with any site on the web. Get started with Claude Code, Codex, Eve, Mastra, and more.

Metrics

	LaVague	Stagehand
Stars	6.4k	25.5k
Star velocity /mo	12.192513368983958	2.1k
Commits (90d)	0	184
Releases (6m)	0	10
Overall score	0.20632365989534013	0.8012624587000181

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

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

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

View LaVague Details View Stagehand Details

FAQ

Which is more popular, LaVague or Stagehand?: Stagehand has more GitHub stars (25,492 vs 6,394).
Which is more actively developed, LaVague or Stagehand?: Stagehand had more commits in the last 90 days (184 vs 0).
Should I use LaVague or Stagehand?: Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.