This research introduces a knowledge-based multi-agent framework that leverages LLMs to automate software architecture design, reducing manual effort and expertise requirements.

• Combines LLM capabilities with domain-specific knowledge for architecture generation
• Features specialized agents working collaboratively on different aspects of design
• Addresses a critical gap in automated software engineering processes
• Aims to produce high-quality architectures with reduced human intervention

For engineering teams, this approach promises to significantly reduce development costs and time-to-market while maintaining architectural quality through AI-assisted design processes.

Knowledge-Based Multi-Agent Framework for Automated Software Architecture Design