Overview
LaVague is an innovative open-source framework designed to empower developers and organizations to build sophisticated AI web agents capable of intelligent web navigation and task automation. By leveraging state-of-the-art Large Action Models, LaVague provides a comprehensive solution for creating web-interactive AI agents.
Key Features
- Seamless web agent development with minimal code
- Support for Selenium-based web interactions
- Customizable agent configurations
- Ability to integrate local and cloud-based AI models
- Advanced RAG (Retrieval-Augmented Generation) for web navigation
- Open-source and extensible architecture
Use Cases
- Web QA and Test Automation
- Process Automation across SaaS Platforms
- Information Retrieval from Complex Web Interfaces
- Automated Data Entry and Orchestration
- Enterprise Workflow Optimization
Technical Specifications
- Language: Python
- Dependencies: Selenium, Large Language Models
- Deployment Options: Local, Cloud, On-VPC
- Model Compatibility: OpenAI, Llama 3, Azure OpenAI, Gemini
- Browser Support: Multiple via Selenium WebDriver
