Scott Salisbury
2024
WebOlympus: An Open Platform for Web Agents on Live Websites
Boyuan Zheng
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Boyu Gou
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Scott Salisbury
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Zheng Du
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Huan Sun
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Yu Su
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
Web agents are emerging as powerful tools capable of performing complex tasks across diverse web environments. The rapid development of large multimodal models is further enhancing this advancement. However, there is a lack of standardized and user-friendly tools for research and development, as well as experimental platforms on live websites. To address this challenge, we present WebOlympus, an open platform for web agents operating on live websites. WebOlympus offers a Chrome extension-based UI, enabling users without programming experience to easily utilize the platform. It allows users to run web agents with various designs using only a few lines of code or simple clicks on the Chrome extension. To ensure the trustworthiness of web agents, a safety monitor module that prevents harmful actions through human supervision or model-based control is incorporated. WebOlympus supports diverse applications, including annotation interfaces for web agent trajectories and data crawling.