bibtext: @inproceedings{
  xie2024openagents,
  title={OpenAgents: An Open Platform for Language Agents in the Wild},
  author={Tianbao Xie and Fan Zhou and Zhoujun Cheng and Peng Shi and Luoxuan Weng and Yitao Liu and Toh Jing Hua and Junning Zhao and Qian Liu and Che Liu and Zeyu Liu and Yiheng Xu and Hongjin SU and Dongchan Shin and Caiming Xiong and Tao Yu},
  booktitle={First Conference on Language Modeling},
  year={2024},
  url={https://openreview.net/forum?id=sKATR2O1Y0}
  }
abstract: Language agents show potential in being capable of utilizing natural language for varied and intricate tasks in diverse environments, particularly when built upon large language models (LLMs). Current language agent frameworks aim to facilitate the construction of proof-of-concept language agents while neglecting the non-expert user access to agents and paying little attention to application-level designs. We present OpenAgents, an open platform for using and hosting language agents in the wild of everyday life. OpenAgents includes three agents:  (1) Data Agent for data analysis with Python/SQL and data tools;  (2) Plugins Agent with 200+ daily API tools;  (3) Web Agent for autonomous web browsing. OpenAgents enables general users to interact with agent functionalities through a web user interface optimized for swift responses and common failures while offering developers and researchers a seamless deployment experience on local setups, providing a foundation for crafting innovative language agents and facilitating real-world evaluations. We elucidate the challenges and opportunities, aspiring to set a foundation for future research and development of real-world language agents.
title: OpenAgents: An Open Platform for Language Agents in the Wild
authors: Tianbao Xie Fan Zhou Zhoujun Cheng Peng Shi Luoxuan Weng Yitao Liu Toh Jing Hua Junning Zhao Qian Liu Che Liu Zeyu Liu Yiheng Xu Hongjin SU Dongchan Shin Caiming Xiong Tao Yu