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LaVague

LaVague AI Agent
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Overview

An open-source framework for building and deploying AI Web Agents to automate web-based tasks.

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.

AI Agent Store research

What the evidence says about LaVague

LaVague is best understood as an agent-development framework. LaVague is an open-source Large Action Model framework for web automation.

Last reviewed July 30, 2026

Verified capabilities

  • Agent application development

    LaVague is an open-source Large Action Model framework for web automation.[1]

Where it fits best

  • Developing AI agents to automate web navigation and interactions.[1]
Sources and research method (1)

We record only claims tied to public sources checked by our team or listing workflow. Counts above are derived directly from this profile, not a subjective rating.

  1. LaVagueOfficial site · checked 2026-07-30

Autonomy level

85%

Reasoning: 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. Cap...

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Some of the use cases of LaVague:

  • 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.

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Popularity level: 71%

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