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
Published: 2025-10-01 04:41:58

Abstract: 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.