Beyond Single-Framework Architectures: A Systematic Evaluation and Hybrid Design for Scalable Multi-Agent Coordination

Large language model (LLM)-based multi-agent frameworks have emerged as powerful tools for complex coordination tasks, yet systematic comparisons across realistic, large-scale scenarios remain limited. This paper presents a comprehensive evaluation of three prominent frameworks, i.e., CrewAI, AutoGe...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Muhammad Saleem Khan, Muhammad Janas Khan, Muhammad Sharif, Sadaf Yasmin
Format:	Article
Language:	English
Published:	IEEE 2026-01-01
Subjects:	Multi-agent systems large language models agentic AI framework comparison hybrid architectures scalability
Online Access:	https://ieeexplore.ieee.org/document/11481053/