LaVague is an open-source framework designed to facilitate the creation and deployment of AI Web Agents capable of automating various web-based tasks. By leveraging Large Action Models (LAMs), LaVague enables developers to build agents that can interpret objectives, generate necessary actions, and execute them across web interfaces. The framework supports integration with tools like Selenium and Playwright, allowing for seamless interaction with web pages. LaVague's modular architecture promotes customization and scalability, making it suitable for applications ranging from automated testing to complex process automation.
Developing AI agents to automate web navigation and interactions.
Automating testing processes by converting Gherkin specifications into executable tests.
Retrieving and processing information from web-based platforms.
Streamlining repetitive web tasks through AI-driven automation.
LaVague demonstrates high autonomy through its Large Action Model architecture enabling fully automated task execution on web interfaces without human intervention after initial setup. The framework's World Model autonomously translates objectives into executable instructions while its Action Engine compiles these into Selenium/Playwright code. Capabilities include handling authenticated sessions, dynamic website interactions, and cross-domain operations as shown in enterprise use cases. However, some human oversight remains required for complex edge cases and initial agent configuration, preventing a perfect score.
Open Source
Contact
Share: Email address
Share: Mobile number
Discover & Connect with AI Agents uses cookies to ensure you get the best experience.