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Skyvern

Automate browser-based workflows with LLMs and Computer Vision.

Introduction

Skyvern

Skyvern is a powerful tool designed to automate browser-based workflows using Large Language Models (LLMs) and computer vision. It provides a simple API endpoint to fully automate manual workflows across various websites, replacing traditional brittle automation solutions.

Key Features:
  • Multi-Agent Architecture: Skyvern utilizes a swarm of agents to comprehend websites and execute actions effectively.
  • Real-Time Interaction: Unlike traditional methods that rely on fixed XPath interactions, Skyvern uses prompts and computer vision to interact with elements in real-time.
  • Workflow Automation: Users can create complex workflows that chain multiple tasks together, allowing for sophisticated automation scenarios.
  • Data Extraction: Skyvern can extract structured data from websites, making it ideal for tasks like invoice downloading and form filling.
  • Support for Various Authentication Methods: It supports password managers and 2FA, enabling automation of tasks behind login screens.
Benefits:
  • Robustness: Skyvern is resistant to changes in website layouts, ensuring consistent performance.
  • Ease of Use: The setup process is straightforward, with comprehensive documentation and a quickstart guide available.
  • Open Source: The core logic is available in an open-source repository, allowing for community contributions and transparency.
Highlights:
  • Demo Available: Users can see Skyvern in action through live demos.
  • Cloud Version: A managed cloud version is available for users who prefer not to manage infrastructure.
  • Community Support: Active community engagement through GitHub for contributions and feedback.

Information

  • Publisher
    AISecKit
  • Websitegithub.com
  • Published date2025/04/28

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