JoyAgent-JDGenie: Technical Report on the GAIA
Authors: name: Jiarun Liu, name: Shiyue Xu, name: Shangkun Liu, name: Yang Li, name: Wen Liu, name: Min Liu, name: Xiaoqing Zhou, name: Hanmin Wang, name: Shilin Jia, name: zhen Wang, name: Shaohua Tian, name: Hanhao Li, name: Junbo Zhang, name: Yongli Yu, name: Peng Cao, name: Haofen Wang
Organization: jingdong

Large Language Models are increasingly deployed as autonomous agents for
complex real-world tasks, yet existing systems often focus on isolated
improvements without a unifying design for robustness and adaptability. We
propose a generalist agent architecture that integrates three core components:
a collective multi-agent framework combining planning and execution agents with
critic model voting, a hierarchical memory system spanning working, semantic,
and procedural layers, and a refined tool suite for search, code execution, and
multimodal parsing. Evaluated on a comprehensive benchmark, our framework
consistently outperforms open-source baselines and approaches the performance
of proprietary systems. These results demonstrate the importance of
system-level integration and highlight a path toward scalable, resilient, and
adaptive AI assistants capable of operating across diverse domains and tasks.