Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training

April 2026 Tianqing Fang, Zhisong Zhang, Xiaoyang Wang, Rui Wang, Can Qin, Yuxuan Wan, Jun-Yu Ma, Ce Zhang, Jiaqi Chen, Xiyun Li, Yonglin Wang, Jingchen Ni, Tianshi Zheng, Chun Chen, Wenhao Yu, Zhenwen Liang, Hongming Zhang, Haitao Mi, Dong Yu Technical Report 2026
Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training

Overview

We present Cognitive Kernel-Pro, a fully open-source multi-module agent framework designed to democratize the development of advanced AI agents. We systematically investigate the curation of high-quality training data for Agent Foundation Models across web, file, code, and general reasoning domains, and explore novel strategies for agent test-time reflection and voting. Our 8B-parameter open-source model achieves state-of-the-art results on GAIA among open-source agents.