G-Designer is a novel framework that automatically generates optimal communication topologies between LLM agents, eliminating the need for manual design while improving performance and reducing costs.

• Uses graph neural networks to learn and create task-specific agent communication patterns
• Achieves superior performance with up to 40% fewer communication tokens compared to fully-connected topologies
• Demonstrates robust generalization to unseen tasks and scalability to different numbers of agents
• Provides defense against adversarial agents by isolating potential threats in the communication network

This engineering breakthrough makes multi-agent systems more practical and cost-effective for businesses by optimizing how agents collaborate, reducing unnecessary communication overhead, and enhancing security through intelligent topology design.

G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks