Core Insights - The article highlights the importance of "supply chain security" in the AI agent industry, especially in light of Manus's exit from the Chinese market due to reliance on overseas models and GPU chips [1] - Fabarta, set to begin internal testing on July 21, emphasizes "100% self-developed code," showcasing a domestic breakthrough in AI agent autonomy [1] - MasterAgent, launched in May, is China's first L4-level end-to-end multi-agent system, establishing a complete security barrier through a fully self-developed technology architecture [1] Full-Chain Self-Development - MasterAgent's self-controlled technology spans the entire chain, utilizing a fully domestic toolchain for training its core large model, eliminating dependence on overseas models like GPT and Claude [2] - The Master Builder engine employs an original dynamic generation algorithm, reducing the deployment cycle from weeks to minutes by directly mapping tasks through natural language instructions [2] Decentralized Collaboration Architecture - MasterAgent's Agent Group collaboration architecture utilizes an improved PBFT protocol for decentralized coordination, avoiding reliance on foreign communication frameworks [3] - The development team emphasizes their control over every line of code and algorithm module, providing confidence against international technological fluctuations [3] Data Security and Compliance - MasterAgent's domestic technology stack creates a "zero-risk" defense for sensitive industries, ensuring data remains within local servers and complies with the Data Security Law [4] - In the financial sector, a leading brokerage has achieved full-process intelligence through MasterAgent, saving 60% in integration costs by avoiding cross-border data transmission [4] - The system's "cloud-edge-end" integrated architecture is particularly suitable for government and state-owned enterprises, enhancing approval efficiency by 70% while eliminating external technical dependencies [4] Autonomous Evolution and Control - MasterAgent features an autonomous evolution mechanism that updates its knowledge base and skill models weekly, allowing local teams to control the evolution path [5] - The system optimizes scheduling algorithms based on domestic enterprise data, improving operational efficiency on domestic chips by 30% [5] - This "self-driven" evolution model mitigates risks associated with overseas technology dependencies, ensuring adaptability to business needs [5] Conclusion - The AI agent industry is experiencing a "safety awakening," with MasterAgent positioned as a leading platform that not only addresses usability but also ensures stability and security [6] - The emphasis on local innovation and self-sufficiency may be key to China's leadership in the global AI agent market [6]