  The proliferation of large language models (LLMs) and their integration into
multi-agent systems has paved the way for sophisticated automation in various
domains. This paper introduces AutoGenesisAgent, a multi-agent system that
autonomously designs and deploys other multi-agent systems tailored for
specific tasks. AutoGenesisAgent comprises several specialized agents including
System Understanding, System Design, Agent Generator, and several others that
collectively manage the lifecycle of creating functional multi-agent systems
from initial concept to deployment. Each agent in AutoGenesisAgent has distinct
responsibilities ranging from interpreting input prompts to optimizing system
performance, culminating, in the deployment of a ready-to-use system. This
proof-of-concept study discusses the design, implementation, and lessons
learned from developing AutoGenesisAgent, highlighting its capability to
generate and refine multi-agent systems autonomously, thereby reducing the need
for extensive human oversight in the initial stages of system design. Keywords:
multi-agent systems, large language models, system design automation, agent
architecture, autonomous systems, software deployment
