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On October 23, 2026, Jiang Guanjun, head of AI algorithms at Alibaba's Qwen business unit, proposed at the 2026 China Computer Congress that the core capabilities of a Personal Agent are jointly built from three elements: model, memory, and ecosystem. According to a Sina Tech report that day, Qwen has cataloged more than 8,000 atomic model capability requirements spanning over 30 leading industries, and stores and retrieves memories in tiers according to the strength of their associations; Qwen's personal AI assistant "Qwen Go!" has launched a "My Apps" feature that lets users build applications without programming, and it is currently in invite-only testing. On October 25, IT Home reported further that at the model level Qwen has established a user-demand perspective map covering more than 30 leading industries, and at the ecosystem level it is building a model-centric open service system that integrates professional knowledge, tools, industry Skills, and third-party Agents. This framework remains a technical proposition put forward at the congress, and no subsequent implementation progress has yet been disclosed.
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Oct 25
IT Home · Artificial Intelligence
Alibaba Qwen's Jiang Guanjun Discusses the Technical Framework for Personal AI Agents: Models, Memory, and Ecosystem Must Advance in Concert
Jiang Guanjun, head of AI algorithms at Alibaba's Qwen business unit, proposed at the 2026 China Computer Congress that personal AI agents require the coordinated advancement of three key elements: models, memory, and ecosystem. At the model level, Qwen has established a user demand map covering more than 30 leading industries and identified over 8,000 atomic model capability requirements; at the ecosystem level, Qwen is building a model-centric open service system that integrates professional knowledge, tools, industry Skills, and third-party Agents.
Oct 23
Sina Tech
Qwen's Jiang Guanjun: Personal Agent requires the synergy of three elements: model, memory, and ecosystem
Jiang Guanjun, head of AI algorithms at Alibaba's Qwen business unit, stated at the 2026 China Computer Congress that the core capabilities of Personal Agent are jointly built by three elements: model, memory, and ecosystem. Qwen has compiled more than 8,000 atomic model capability requirements covering over 30 leading industries, and stores and invokes memory in tiers according to the strength of associations. Qwen's personal AI assistant "Qwen Go!" has launched the "My Apps" feature, allowing users to build apps without programming; it is currently in invite-only testing.
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Qwen's Jiang Guanjun: Building a Personal Agent Requires Model, Memory, and Ecosystem Working Together
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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