Open-source framework for building Web Agents

Build and deploy Web Agents in a few lines of code.

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LaVague

Framework for Agent builders

1# pip install lavague
2from lavague.drivers.selenium import SeleniumDriver
3from lavague.core import ActionEngine, WorldModel
4from lavague.core.agents import WebAgent
5driver = SeleniumDriver(headless=False)
6action_engine = ActionEngine(driver)
7world_model = WorldModel()
8agent = WebAgent(world_model, action_engine)
9agent.get("https://huggingface.co/docs")
10agent.run("Go on the quicktour of PEFT")

Build and deploy AI Web Agents with our open-source framework

LaVague QA

Tool for QA Engineers

Automate test writing and maintenance by turning Gherkin into tests using LaVague Agents

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Use cases

WebQA

Automate the writing of tests with Agents that can turn Gherkin specs into tests that can be easily integrated into your test base.

Process automation

Automate navigation, data entry, or data orchestration across your SaaS (CRM, ERP, etc.).

Information Retrieval

Retrieve information from your preferred SaaS solutions by piloting an Agent to reproduce your fine-grained exploration and decision-making.

Customizable

Adapt the tools, knowledge and integration available to your agent to solve your use case.

Private

Deploy Agents that leverage local models like Llama 3 8b, or on-VPC models like Azure OpenAI or Gemini.

Performant

Leverage state-of-the-art Large Action Models to automate interactions on the web.

Enterprise Services

LaVague is committed to providing customized support to help companies explore and adopt AI-based Agents to improve their operations.

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Join our community to democratize AI Web Agents.
Whether you are a builder, a contributor or need help, we are here for you.

Discord

Join the community, share your ideas and talk with us.

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Documentation

Learn how to build AI Web Agents with LaVague

Contributing

Open issues & PRs, request new features and report bugs.

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