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This paper proposes an agentic LLM framework for automated structural analysis of 3D frame systems from natural language inputs, achieving 90% accuracy on ten representative 3D frames through a multi-agent pipeline.
A developer detailed the architecture of three Hermes AI agents built from scratch, using shared and private brains for role-specific tasks, with automated data syncs from various sources.