Alibaba Qwen Outlines Technical Framework for Personal AI Agents
At the 2026 China Computer Conference, Alibaba Qwen's AI algorithm lead Jiang Guanjun outlined the technical framework for personal AI agents. He emphasized that building core capabilities requires the synergy of three key elements: models, memory, and ecosystem. This framework shifts AI applications from simple conversational tools to proactive assistants capable of autonomous planning, complex execution, and personalized service. It addresses the industry's push toward creating actionable, real-world value for everyday users. Qwen's approach involves mapping 8,000 atomic model capabilities across 30 industries for execution stability, filtering conversational noise in memory management, and using Harness technology to connect third-party tools and agent services.
## BACKGROUND
AI agents are autonomous software entities powered by large language models that can perceive their environment, remember past interactions, and use external tools to achieve specific goals. Memory mechanisms and ecosystem integrations are critical for moving beyond stateless prompt-response systems into context-aware task execution.