AOrchestra: Automating Sub-Agent Creation for Agentic Orchestration
By: Jianhao Ruan, Zhihao Xu, Yiran Peng, Fashen Ren, Zhaoyang Yu, Xinbing Liang, Jinyu Xiang, Bang Liu, Chenglin Wu, Yuyu Luo, Jiayi Zhang
Published: 2026-02-04
View on arXiv →#cs.AI
Abstract
This paper introduces AOrchestra, a novel framework designed to automate the creation and management of sub-agents within complex large language model (LLM)-based multi-agent systems. It aims to streamline the development of sophisticated AI solutions by enabling efficient orchestration and dynamic adaptation of specialized agents for various tasks, leading to improved performance and scalability in real-world applications.