LaVague

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Category:AI Agent Development Frameworks

Overview

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

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software developers quality assurance engineers data analysts automation specialists

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.

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.

Pricing model:

free

Code access:

open-source

Popularity level: 71%