AgentStore: Scalable Integration of Heterogeneous Agents As Specialized Generalist Computer Assistant
Chengyou Jia, Minnan Luo, Zhuohang Dang, Qiushi Sun, Fangzhi Xu,, Junlin Hu, Tianbao Xie, Zhiyong Wu

TL;DR
AgentStore is a scalable platform that dynamically integrates heterogeneous agents, enhancing their generalization and specialization capabilities for automating complex computer tasks in real-world environments.
Contribution
It introduces a novel scalable system with a core MetaAgent and AgentToken strategy, enabling dynamic integration and management of diverse agents for improved task automation.
Findings
Significant performance improvement on OSWorld benchmark (11.21% to 23.85%)
Outperforms previous systems in generalization and specialization
Demonstrates effectiveness in complex, real-world computer tasks
Abstract
Digital agents capable of automating complex computer tasks have attracted considerable attention due to their immense potential to enhance human-computer interaction. However, existing agent methods exhibit deficiencies in their generalization and specialization capabilities, especially in handling open-ended computer tasks in real-world environments. Inspired by the rich functionality of the App store, we present AgentStore, a scalable platform designed to dynamically integrate heterogeneous agents for automating computer tasks. AgentStore empowers users to integrate third-party agents, allowing the system to continuously enrich its capabilities and adapt to rapidly evolving operating systems. Additionally, we propose a novel core \textbf{MetaAgent} with the \textbf{AgentToken} strategy to efficiently manage diverse agents and utilize their specialized and generalist abilities for…
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Taxonomy
TopicsMulti-Agent Systems and Negotiation · Distributed and Parallel Computing Systems · Mobile Agent-Based Network Management
MethodsSoftmax · Attention Is All You Need
