Beginner score
48/100
Competition workspace
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。
Suggested next step
Decide whether this contest fits your current stage before you sink time into the leaderboard.
Beginner score
48/100
Learning value
60/100
Estimated effort
12-40 hours
Metric
Official scoring is published on the Op…
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。
If the items below still feel unfamiliar, you usually get a better result by preparing first instead of rushing in.
openKylin 操作系统
UKUI 桌面环境接口
麒麟 AI 推理框架
智能体规划与决策
MCP Server 配置
AtomGit 与 CLA
The real friction is usually not library usage. It is validation, time allocation, and task framing.
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。
This guide is the best pre-read if you want a cleaner start instead of trial-and-error.
How to learn feature engineering, validation, and competition workflow without heavy hardware.
No GPU? Pick Competitions That Still Teach You Good HabitsUse these fields to make a quick decision before you dive deeper.
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Rules, files, submission details, and the live deadline still come from the official page.
These competitions share a similar domain or difficulty level.
Separate what is confirmed from what still needs review. Official rules and deadlines win — report anything that looks wrong.
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.