
Nexus: Advancing Multi-Agent Systems for Engineering
A lightweight framework that automates complex engineering tasks through coordinated AI agents
Nexus introduces a scalable multi-agent framework that leverages LLMs to tackle complex engineering challenges through specialized agent collaboration.
- Demonstrated 30% power savings in circuit design optimization tasks
- Successfully performs timing closure tasks for engineering applications
- Utilizes a modular architecture that fully exploits LLM capabilities for specific engineering task sets
- Enables effective coordination between specialized agents equipped with domain-specific knowledge
This research matters for engineering teams seeking to automate complex design processes while maintaining human-like reasoning capabilities, potentially transforming workflows for circuit design, hardware verification, and other complex technical domains.
Nexus: A Lightweight and Scalable Multi-Agent Framework for Complex Tasks Automation