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  3. 基于openKylin桌面环境的多智能体交互技术赛
OpenAtomLLMIntermediateRegistration unverified

基于openKylin桌面环境的多智能体交互技术赛

A intermediate llm competition requiring roughly 12–40 hours for an end-to-end practice run.

Difficulty
Intermediate
Estimated effort
12–40 hours
Registration deadline
To be confirmed
Compute
CPU only
OverviewPreparationSource

Overview

Who this competition fits

适合具备 Linux/openKylin 桌面开发经验,且能在麒麟 AI 推理框架中构建大模型智能体的学生、个人或企业开发者。参赛者还应能调用系统与桌面接口,并实现多智能体协作、记忆和历史操作检索。

Read the original official blurb
基于openKylin桌面环境的多智能体交互技术赛旨在通过竞赛,推动基于 openKylin 开源操作系统,在麒麟 AI 推理框架上,结合 UKUI 桌面环境开发智能体应用。该应用需具备自主规划、决策能力,能够访问系统资源、调用系统及桌面环境接口与工具,并拥有记忆功能。同时,它应能与其他智能体应用进行协作。本次竞赛旨在为操作系统与 AI 融合提供深入探索,并助力提升国产开源操作系统的国际竞争力。 Official category: 实战竞技赛. Organizers: openKylin,麒麟软件有限公司. Competition code: 20250AC014. Participants: 4.

Preparation

From registration to a first submission

  1. 01

    openKylin 操作系统

  2. 02

    UKUI 桌面环境接口

  3. 03

    麒麟 AI 推理框架

  4. 04

    智能体规划与决策

  5. 05

    MCP Server 配置

  6. 06

    AtomGit 与 CLA

Before you commit: 难点在于把智能体从聊天能力落实为可实际操作 openKylin 桌面的应用:它需要理解指令、自主规划决策、访问系统资源并调用桌面与系统工具接口,还要与其他智能体协作。提交不只是代码,还须提供可运行文件、文档、演示材料;获奖作品需按要求开源至指定平台。

Source

How this page was assembled

Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.

Official competition page
OpenAtom
Last checked
Aug 28, 2025

Entry assessment

est.
48

Prepare before joining

Overall fit estimate

Beginner fit48/100
Learning value60/100

Confirm eligibility and time commitment before moving into formal preparation.

Entry eligibility needs official confirmation

Open official pageSign in to saveOpen guide

Data and review state

Separate what is confirmed from what still needs review. Official rules and deadlines win.

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Source page verifiedMetric confirmedReviewed
Source published
Aug 28, 2025
Source created
Aug 28, 2025
Published on this site
Jul 21, 2026

Official metric is not published on the OpenAtom competition listing; verify scoring on the competition page.

reward_value_usd is a rough CNY→USD estimate (×0.14) for ranking only; use reward_summary for the official prize text.