Skyvern
Automates browser-based workflows using LLMs and computer vision for robust and adaptable web interactions.
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Skyvern automates browser-based tasks by leveraging the power of Large Language Models (LLMs) and computer vision, enabling it to interact with websites in a way that mimics human reasoning. This approach overcomes the limitations of traditional browser automation, which relies on brittle DOM parsing and XPath-based interactions that are easily broken by website changes. Skyvern can understand visual elements, plan interactions, and extract data from websites, even ones it has never encountered before, making it a powerful tool for automating a wide range of web-based workflows.
Características Principales
- Zero-shot prompting capability
- 12,913 GitHub stars
- Livestreaming of browser viewport for debugging
- Multi-agent architecture for complex task completion
- Password manager and 2FA integrations
- Workflow chaining for cohesive automation
Casos de Uso
- Automating invoice downloading from various websites
- Automating materials procurement for manufacturing
- Streamlining the job application process
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