title: AgentStore: Scalable Integration of Heterogeneous Agents As Specialized
    Generalist Computer Assistant
summary: 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 MetaAgent
  with the AgentToken strategy to efficiently manage diverse agents and
  utilize their specialized and generalist abilities for both domain-specific and
  system-wide tasks. Extensive experiments on three challenging benchmarks
  demonstrate that AgentStore surpasses the limitations of previous systems with
  narrow capabilities, particularly achieving a significant improvement from
  11.21\% to 23.85\% on the OSWorld benchmark, more than doubling the previous
  results. Comprehensive quantitative and qualitative results further demonstrate
  AgentStore's ability to enhance agent systems in both generalization and
  specialization, underscoring its potential for developing the specialized
  generalist computer assistant. All our codes will be made publicly available in
  https://chengyou-jia.github.io/AgentStore-Home.
paper_authors._id: 672092433eeb25161bf6eaac
paper_authors.name: Chengyou Jia
paper_authors.status: claimed_verified
paper_authors.statusLastChangedAt: 2024-11-29T10:08:29.019Z
paper_authors._id: 6602548a68d519ed324b47c5
paper_authors.avatarUrl: /avatars/5ab411f87440cc2a98c7a1c6a3ed5548.svg
paper_authors.fullname: ChengyouJia
paper_authors.type: user
paper_authors.user: ChengyouJia
paper_authors._id: 672092433eeb25161bf6eaad
paper_authors.name: Minnan Luo
paper_authors._id: 672092433eeb25161bf6eaae
paper_authors.name: Zhuohang Dang
paper_authors._id: 672092433eeb25161bf6eaaf
paper_authors.name: Qiushi Sun
paper_authors.status: claimed_verified
paper_authors.statusLastChangedAt: 2024-10-30T09:53:06.471Z
paper_authors._id: 6064a0eeb1703ddba0d458b9
paper_authors.avatarUrl: https://cdn-avatars.huggingface.co/v1/production/uploads/1617207525789-noauth.png
paper_authors.fullname: Qiushi
paper_authors.type: user
paper_authors.user: QiushiSun
paper_authors._id: 672092433eeb25161bf6eab0
paper_authors.name: Fangzhi Xu
paper_authors.status: claimed_verified
paper_authors.statusLastChangedAt: 2025-01-03T14:06:12.618Z
paper_authors._id: 64e6cf78ecce34cb442dc889
paper_authors.avatarUrl: https://cdn-avatars.huggingface.co/v1/production/uploads/64e6cf78ecce34cb442dc889/qVZFiUEpBpSkmH8SQeinm.jpeg
paper_authors.fullname: Fangzhi Xu
paper_authors.type: user
paper_authors.user: xufangzhi
paper_authors._id: 672092433eeb25161bf6eab1
paper_authors.name: Junlin Hu
paper_authors._id: 672092433eeb25161bf6eab2
paper_authors.name: Tianbao Xie
paper_authors._id: 672092433eeb25161bf6eab3
paper_authors.name: Zhiyong Wu
paper_title: AgentStore: Scalable Integration of Heterogeneous Agents As Specialized
    Generalist Computer Assistant
paper_summary: 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 MetaAgent
  with the AgentToken strategy to efficiently manage diverse agents and
  utilize their specialized and generalist abilities for both domain-specific and
  system-wide tasks. Extensive experiments on three challenging benchmarks
  demonstrate that AgentStore surpasses the limitations of previous systems with
  narrow capabilities, particularly achieving a significant improvement from
  11.21\% to 23.85\% on the OSWorld benchmark, more than doubling the previous
  results. Comprehensive quantitative and qualitative results further demonstrate
  AgentStore's ability to enhance agent systems in both generalization and
  specialization, underscoring its potential for developing the specialized
  generalist computer assistant. All our codes will be made publicly available in
  https://chengyou-jia.github.io/AgentStore-Home.
paper_ai_keywords: MetaAgent AgentToken