August 19, 2024Open Access

MegaAgent: A Practical Framework for Autonomous Cooperation in Large-Scale LLM Agent Systems

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MegaAgent enables autonomous cooperation without predefined standard operating procedures, outperforming existing multi-agent systems in software development.
Scaling up to 590 agents during national policy simulation maintained effective coordination, validating system stability under high concurrent demand.
Simulation using a hierarchical structure and system-level parallelism dynamically generated agents, dividing tasks and monitoring execution automatically.

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Implication

Simulation study demonstrates autonomous cooperation across 590 agents without predefined procedures, highlighting scalable multi-agent systems for complex tasks.

Cite This Study

Wang et al. (2024) studied this question.

synapsesocial.com/papers/68e5bd3ab6db643587555049 https://doi.org/10.48550/arxiv.2408.09955

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Implication

Simulation study demonstrates autonomous cooperation across 590 agents without predefined procedures, highlighting scalable multi-agent systems for complex tasks.

MegaAgent: A Practical Framework for Autonomous Cooperation in Large-Scale LLM Agent Systems

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Implication

Cite This Study

MegaAgent: A Practical Framework for Autonomous Cooperation in Large-Scale LLM Agent Systems

Key Points

Discussion

Implication

Cite This Study

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