Agent S

Industry leading computer use agent and open sourced. Agent S is the only open-source solution among the top-performing agents. Empower your systems with this unique, powerful, and highly trusted tool.

Access code in GitHub

Blog

October 9, 2024

First generation

Agent S: An Open Agentic Framework that Uses Computers Like a Human

What are needed besides LLMs to build a better general agents across major operating systems.

Read now

March 12, 2025

Latest Release

Agent S2: An Open, Modular, and Scalable Framework for Computer Use Agents

Our latest research pushes the boundaries of science, redefining what’s possible with computer use agents.

Read now

Research Publication

Check below our publications.
Agent S: An Open Agentic Framework that Uses Computers Like a Human

Saaket Agashe*, Jiuzhou Han*, Shuyu Gan, Jiachen Yang, Ang Li, Xin Eric Wang. 2024

PolicyCleanse: Backdoor Detection and Mitigation for Reinforcement Learning

Junfeng Guo, Ang Li, Lixu Wang, Cong Liu. CVPR 2023

Building an open-vocabulary video CLIP model with better architectures, optimization and data

Zuxuan Wu, Zejia Weng, Wujian Peng, Xitong Yang, Ang Li, Larry S. Davis, Yu-Gang Jiang. PAMI 2024

Forget but Recall: Incremental Latent Rectification in Continual Learning

Nghia D. Nguyen, Hieu Trung Nguyen, Ang Li, Hoang Pham, Viet Anh Nguyen, Khoa D. Doan. 2024