Продуктивность
alfred
Mac AI coach that watches your messages, calendar, and commitments.
★ 33 звездыMIT
Смотреть руководство →Pei-Pei-Shua — проект с открытым исходным кодом из категории «Продуктивность» от HuiYeJi-7 (HuiYeJi-7/Pei-Pei-Shua на GitHub). У него 123 звезды на GitHub и 10 форков, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 24 сентября 2026.
AI study companion for the civil-service exam: explanations, mistake log, pomodoro todos.
The README documents setup; start with the install section.
Decide what you want Pei-Pei-Shua to do first — a study companion app for the civil-service exam, with AI-powered ques.
Change the config to match your workflow, then run it daily.
Pull the latest changes to stay current with fixes.
Modern JVM language.
Made for everyday use.
Use it freely, even commercially.
Read and audit every line on GitHub.
Fork it and shape it to your needs.
Improved in the open by contributors.
Download the source and move into the project folder.
git clone https://github.com/HuiYeJi-7/Pei-Pei-Shua.git
cd pei-pei-shuaBuild with Gradle.
./gradlew buildLaunch the packaged app.
java -jar build/libs/app.jar # jar name may varyYes. It is MIT licensed, so you can use it freely, including commercially, with attribution.
No. It is a self-run project — clone it and run it on your own machine. Some features may optionally call external APIs; check the README.
Yes, that is the point. The code is public, so you can run, modify, and host it yourself.
It is released under MIT. Read the LICENSE file in the repo for the exact terms.
Yes — it lives on GitHub at HuiYeJi-7/Pei-Pei-Shua. Open an issue or pull request; the contribution guide in the repo explains the process.
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Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.