Graph-of-Agents: A Graph-based Framework for Multi-Agent LLM Collaboration

ArXi:2604.17148v1 Announce Type: new With an ever-growing zoo of LLMs and benchmarks, the need to orchestrate multiple models for improved task performance has never been pressing. While frameworks like Mixture-of-Agents (MoA) attempt to coordinate LLMs, they often fall short in terms of (1) selecting relevant agents, (2) facilitating effective intra-agent communication, and (3) integrating responses efficiently. In this work, we propose Graph-of-Agents (GoA), a new graph-based framework for modeling multi-agent LLM communication.