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  • Huawei Unveils HarmonyOS 6 with Intelligent Agent Framework
    Huawei has launched HarmonyOS 6 in developer beta, aiming to strengthen its push into context-aware, AI-driven user experiences across its device ecosystem Central to this release is the HarmonyOS Multi-Agent Framework (HMAF), an architecture that supports the development of AI agents designed to interact across multiple platforms with real
  • Huaweis HarmonyOS 6 HarmonyOS Framework enhances the AI . . .
    Officially, the HarmonyOS application and AI Agent are in a symbiotic relationship, and after accessing the HarmonyOS agent, users can easily operate the application and reduce the operation cost In terms of the bottom layer, in order to realize this set of logic, a new HarmonyOS agent framework has been officially introduced, and a new
  • Huawei Introduces HarmonyOS 6 with Intelligent Agent . . .
    While HarmonyOS 6 brings the expected refinements—UI polish, performance tweaks, and usability updates—the star of the announcement is a new Intelligent Agent Framework, a core feature
  • Huawei unveils HarmonyOS 6 with new AI agent framework, Dev . . .
    On stage, Huawei showed off HarmonyOS 6's AI framework in action - you can talk to ChatExcel to handle your Excel needs, ask XiaoYi to help you with making apps for HarmonyOS 6, etc
  • Huawei opens HarmonyOS 6 to developers, unveils AI agents and . . .
    Huawei has installed HarmonyOS 5 on more than 40 device models, with over 8 million developers registered in its ecosystem and more than 30,000 apps and “atomic services” – mini programs
  • HarmonyOS 6 debuts with Star Shield security and AI agent . . .
    Huawei has also released the first public beta of HarmonyOS 6 0 at HDC 2025, which runs from now until June 22, 2025 at Songshan Lake in China Huawei presents its first few HarmonyOS 6 slides
  • HarmonyOS 6 Unveiled: AI Agents Cloud Architecture Updates
    The HarmonyOS Agent Framework provides developers with the tools needed to create these AI-powered assistants without the need for training complex models from scratch This potentially democratizes AI development, allowing a wider range of developers to contribute to the ecosystem and create more tailored user experiences


















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