AI Agent Implementation in Hall for Workshop of Metasynthetic Engineering

Based on the hall for workshop of metasynthetic engineering theory as proposed by Qian Xuesen and AI agent technological approaches, we proposed an AI agent-driven collaborative system design, with a focus on the design of modules such as knowledge base, task decomposition, and tool integration. To address the deficiency of dynamic adjustment capabilities in existing systems, this paper proposes to integrate chain of thought and critical path algorithms to decompose research tasks, and solve problems caused by long execution chains. The system design incorporates essential characteristics of metasynthetic engineering, demonstrating strong domain adaptability in complex decisionmaking scenarios while establishing an extensible technical paradigm for intelligent research enhancement.