LovelyAIMaster — Agent Tool by Tokeii0

by Tokeii0 · Agent Tool · ★ 89

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

About LovelyAIMaster

lovelyAIMaster ✨ 纯AI开发的AI工具,可以在windows任何地方调用AI进行输入 ✨ 💰请我吃份黄焖鸡 😆使用 自己pip一下缺少的库,然后使用python main.py就可以啦 运行之后在托盘找到图标,右键设置里面配置baseurl apikey 以及对应的模型名称 代理配置 推荐几家: 零一万物:https://platform.lingyiwanwu.com/details deepbricks:https://deepbricks.ai/ 智谱:https://open.bigmodel.cn/ openai代理:https://ai.ctf.dog 默认情况下 ALT+1 任意输入框调起AI写作 ALT+2 划词后菜单选择可询问划词内容 ALT+3 进行截图,并调起AI提问,需单独配置API ALT+4 进行多轮对话 🐲本地大模型对接 下载 https://lmstudio.ai/ 下载模型(无法连接就开启TUN模式) 按照下面如图配置 ![image](https://github.com/user-attachments/assets/10bdee64-0e6b-4742-bd1d-32

aiai-toolsopenaipythonwindowswindows-tools

Quick Facts

Stars89
Forks6
LanguagePython
CategoryAgent Tool
Quality Score25/100
Last Updated2025-05-31
Created2024-11-04
Platformspython
Est. Tokens~421k

Compatible Skills

These tools work well together with LovelyAIMaster for enhanced workflows:

  • Windows-MCP — semantic(0.44)+complementary+rare_topics+same_lang+shared_platform (60%)
  • quant-python-ai — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (51%)
  • kicad-mcp — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (51%)

LovelyAIMaster alternative? Top 6 similar tools

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Frequently Asked Questions

What is LovelyAIMaster?

LovelyAIMaster is 可以在windows任何地方调用AI进行输入. It is categorized as a Agent Tool with 89 GitHub stars.

What programming language is LovelyAIMaster written in?

LovelyAIMaster is primarily written in Python. It covers topics such as ai, ai-tools, openai.

How do I install or use LovelyAIMaster?

You can find installation instructions and usage details in the LovelyAIMaster GitHub repository at github.com/Tokeii0/LovelyAIMaster. The project has 89 stars and 6 forks, indicating an active community.

What are the best alternatives to LovelyAIMaster?

The top alternatives to LovelyAIMaster on Agent Skills Hub include os-ai-computer-use, project-raven, Agentfy. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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