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LeiphoneUpdated Oct 25 19:46

Qwen's Jiang Guanjun: Building a Personal Agent Requires Model, Memory, and Ecosystem Working Together

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Jiang Guanjun, head of AI algorithms at Alibaba's Qwen business unit, shared Qwen's technical practices for building a Personal Agent at the 2026 China Computer Congress, arguing that model, memory, and ecosystem are the three elements for building this core capability. He said that the theoretical upper limit for a Personal Agent in solving everyday work, study, and life problems is close to 100%, and the key lies in better matching system capabilities with problem-solving paths.

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Qwen Jiang Guanjun: Building the Personal Agent technical framework requires models, memory, and ecosystem to advance together

Author of this article: Xu Mi

2026-10-23 15:38

Introduction: On October 22, at the 2026 China Computer Congress, Jiang Guanjun, head of AI algorithms at Alibaba's Qwen business unit, shared Qwen's technical practice in building Personal Agent. He believes that a true Person

On October 22, at the 2026 China Computer Congress, Jiang Guanjun, head of AI algorithms at Alibaba's Qwen business unit, shared Qwen's technical practice in building Personal Agent. He believes that the true Personal Agent stage should bring the creation of incremental value and personalized proactive services, and that models, memory, and ecosystem are the three elements that jointly build this core capability.

He stated that the theoretical upper limit of Personal Agent in solving daily work, study, and life problems is close to 100%, and the key to unleashing this potential lies in better matching system capabilities with problem-solving paths, and finding the optimal solution path for different problems through the efficient collaboration of model, memory, and ecosystem capabilities.

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