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Global Mofy Integrates OpenClaw AI Agent Framework into Core Production Pipeline, Powering Its AI-Driven Content Production Strategy
BEIJING, March 10, 2026 (GLOBE NEWSWIRE) -- Global Mofy AI Limited (the “Company” or “Global Mofy”) (Nasdaq: GMM), a generative AI-driven technology solutions
About this update from Global Mofy Ai Limited
[{"type":"text","content":"BEIJING, March 10, 2026 (GLOBE NEWSWIRE) -- Global Mofy AI Limited (the “Company” or “Global Mofy”) (Nasdaq: GMM), a generative AI-driven technology solutions provider engaged in virtual content production and the development of 3D digital assets, today announced that it has completed the deployment and integration of the open-source AI agent framework OpenClaw into its internal core content production workflows. This implementation marks an important step forward in the Company’s AIGC (Artificial Intelligence Generated Content) production infrastructure and lays a technological foundation for its next phase of AI-driven content production strategy. As generative AI evolves from standalone tools toward integrated production systems, demand for more automated and scalable content creation capabilities continues to grow across the digital content industry. Global Mofy stated that the deployment of OpenClaw is primarily intended to enhance internal production efficiency by integrating key processes such as script parsing, multimodal interface orchestration, format conversion, and automated content processing. By streamlining these functions, the system reduces operational friction caused by switching between different tools and enables a more cohesive and efficient production pipeline. The Company emphasized that the AI agent system is currently designed to support internal content production operations and is not intended to be offered externally as a standalone AI agent solution. The intelligent agent engine has already been deployed across several internal use cases. In content production, the system can automatically generate storyboards based on planning inputs and invoke multimodal APIs to process and assemble digital assets, improving efficiency from concept to final output. This capability supports scalable production across a broad range of digital content projects, including film and television visual effects, digital cultural tourism experiences, XR applications, advertising, and gaming content. In addition, the system continuously monitors trending topics across online platforms to generate data-driven topic recommendations, enabling creative teams to respond more quickly to evolving audience interests. Meanwhile, to manage the growing volume of AIGC-generated materials, the system organizes content through tagging and ...