The design and enterprise deployment of multi-agent systems in which several specialized agents, each driven by a large language model that can process multiple modalities such as text and images, coordinate to automate complex business workflows, and which are assembled through visual No-Code platforms rather than hand-written code. Concerns include agent specialization and orchestration, integrating capabilities like retrieval-augmented question answering and image or video generation, and lowering the technical and cost barriers to AI adoption.
This study designs and implements a multimodal large-language-model-based Multi-Agent System (MAS) built on a No-Code platform, aiming to lower the technical complexity and cost barriers that hinder …