大数据2026，Vol.12Issue(1)：61-70,10.DOI:10.11959/j.issn.2096-0271.2026010
智枢OSINT:基于深度研究的多智能体情报分析框架
Zhishu OSINT:a multi-agent intelligence analysis framework based on deep research
摘要
Abstract
Open-source intelligence analysis plays an increasingly important role in supporting complex decision-making.However,traditional intelligence analysis processes are inefficient due to challenges such as the complexity and variability of tasks,the difficulty of processing multi-source heterogeneous information,and the reliance on expert experience for deep reasoning.To address these issues,this paper proposes a deep research agent framework for intelligence analysis.This framework simulates a human intelligence analysis team,constructing a system led by a"Task Planning Agent"and coordinated by specialized sub-agents,including the"Information Collection Agent,""Information Identification Agent,"and"Insight Generation Agent."The framework aims to automate the entire process,from task decomposition to the production of complete intelligence reports.To validate the effectiveness of the framework,we constructed an evaluation dataset for complex intelligence tasks.The results show that the framework significantly outperforms baseline models in terms of generated report quality(RACT),but still has room for improvement in terms of citation performance in web retrieval(FACT).关键词
开源情报/深度研究/多智能体系统Key words
open-source intelligence/deep research/multi-agent systems分类
信息技术与安全科学引用本文复制引用
丘龙鹏,陈波,赵泽亚,范意兴,郭嘉丰,程学旗..智枢OSINT:基于深度研究的多智能体情报分析框架[J].大数据,2026,12(1):61-70,10.基金项目
国家自然科学基金项目(No.62372431) The National Natural Science Foundation of China(No.62372431) （No.62372431）
