LaVague compiles a natural-language objective into Selenium or Playwright code that carries it out in a real browser.
From the README
- ✅ Built-in Contexts (aka. configurations)
- ✅ Customizable configuration
- ✅ A test runner for testing and benchmarking the performance of LaVague
- ✅ A Token Counter for estimating token usage and costs
- ✅ Logging tools
- ✅ An optional, interactive Gradio interface
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeLarge Action Model framework to develop AI Web Agents
LaVague has 6.4k stars on GitHub. It has been forked 573 times. LaVague is written mainly in Python. It has been in active development since 2024. LaVague is available under the Apache-2.0 license. Its main topics are ai, browser, large-action-model, llm.
Read the full guideWhat is LaVague?
Large Action Model framework to develop AI Web Agents
Is LaVague open source?
LaVague is an open-source project. It is released under the Apache-2.0 license.
Is LaVague free?
Yes. LaVague is free and open source — you can use, modify and self-host it.
What license does LaVague use?
LaVague is available under the Apache-2.0 license.
What language is LaVague written in?
LaVague is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/lavague-ai-lavague.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.