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LaVague

LaVague is an open-source Large Action Model framework designed to automate web interactions and build AI Web Agents with ease.

Introduction

LaVague is an open-source framework for building Web Agents, designed to automate web interactions with just a few lines of code. It allows developers and QA engineers to create AI-powered agents that can navigate websites, fill forms, retrieve information, and automate test writing.

Key Features:

  • Open-Source Framework: Provides a flexible and customizable platform for building web automation solutions.
  • Large Action Model (LAM): Leverages state-of-the-art LAMs to automate web interactions.
  • Web Agent Creation: Simplifies the process of building and deploying AI Web Agents.
  • Selenium Driver Integration: Uses Selenium for browser automation, offering robust control over web interactions.
  • QA Automation: Automates test writing and maintenance by turning Gherkin specifications into executable tests.
  • Customizable Agents: Adaptable tools, knowledge, and integrations to solve specific use cases.
  • Privacy-Focused: Supports deployment of agents that leverage local models or models within a VPC.

Use Cases:

  • WebQA: Automate the writing of tests with Agents that can turn Gherkin specs into tests.
  • Process Automation: Automate navigation, data entry, or data orchestration across SaaS applications (CRM, ERP, etc.).
  • Information Retrieval: Retrieve information from SaaS solutions by piloting an Agent to reproduce fine-grained exploration and decision-making.

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