AgentFlow: A Context Aware Multi-Agent Framework for Dynamic Agent Collaboration

Gayathri Nettem, M. Disha, Aavish Gilbert J., Skanda Shreesha Prasad, S. Natarajan

2025

Abstract

Multi-agent systems have long been recognized for their potential in solving complex problems. This paper presents a new framework that focuses on context-awareness and adaptability to tasks dynamically. Unlike traditional agentic approaches, our method involves multiple specialized agents working together, each guided by a set of strategies. These agents dynamically switch roles, utilize workflows to organize task progression, and leverage the perception loop to ensure context-informed decisions and seamless collaboration. The result is a system that consistently produces more accurate, coherent, and creative responses across a variety of domains. Empirical evaluations using benchmarks like HumanEval and MMLU show substantial improvements over single-agent and multi-agent systems.

Paper Citation

in Harvard Style

Nettem G., Disha M., J. A., Prasad S. and Natarajan S. (2025). AgentFlow: A Context Aware Multi-Agent Framework for Dynamic Agent Collaboration. In Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-758-737-5, SciTePress, pages 687-693. DOI: 10.5220/0013375700003890

in Bibtex Style

@conference{icaart25,
author={Gayathri Nettem and M. Disha and Aavish J. and Skanda Prasad and S. Natarajan},
title={AgentFlow: A Context Aware Multi-Agent Framework for Dynamic Agent Collaboration},
booktitle={Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2025},
pages={687-693},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013375700003890},
isbn={978-989-758-737-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - AgentFlow: A Context Aware Multi-Agent Framework for Dynamic Agent Collaboration
SN - 978-989-758-737-5
AU - Nettem G.
AU - Disha M.
AU - J. A.
AU - Prasad S.
AU - Natarajan S.
PY - 2025
SP - 687
EP - 693
DO - 10.5220/0013375700003890
PB - SciTePress