PC-Gui: A lightweight desktop GUI framework built for AI, natively supporting real-time typewriter streaming output like Gemini! 
Core Philosophy: Rapid Development 路 Minimal Size 路 Native Performance 路 Empowering the Creation of Premium Tools Users Are Willing to Pay For
On the desktop, the demand for efficient, practical tools from users has never waned, coupled with a strong willingness to pay.
PC-Gui aims to help developers quickly respond to this market need, using the simplest and most stable technologies to build compact yet powerful commercial-grade desktop applications.
Core Technology Stack
Abandon complex dependencies and bloated third-party GUI libraries, returning to the essence of programming: building desktop applications with a backend mindset.
By using a stable Go backend to provide web services and drive a flexible web frontend, unparalleled lightweight design and performance are achieved.
| Component | Technical Details |
|---|---|
| Backend Service | Go language, providing local web services based on the standard library net/http. |
| Frontend Interface | Standard web technologies: HTML, JavaScript, CSS. |
| Data Storage | Locally encrypted SQLite database, lightweight and reliable. |
Core Advantages & Multi-Solution Comparison
| Category |  PC-Gui Advantages |
 Comparison with Other Solutions |
|---|---|---|
 Zero-Dependency Runtime |
Go backend enables rapid development with strong typing for easy maintenance; cross-compiles into a single executable file, requiring no runtime or dependency installation from users鈥攋ust double-click to run. | Requires users to pre-install and configure complex environments and dependencies like WebView2, Python, C++, Node.js. |
 Interface Technology (HTML) |
HTML frontend can be quickly generated using a wealth of templates and AI tools, offering high efficiency and making it easy to create beautiful, modern visual styles. | Traditional GUI libraries often have outdated interfaces and high customization difficulty. |
| AI Streaming Output | Simple asynchronous processing is all that鈥檚 needed to achieve streaming output of AI content, enhancing user experience. | Implementing streaming output typically requires handling complex callbacks or multi-threading. |
| Markdown Rendering | Perfectly renders Markdown format returned by AI, with syntax highlighting support for various languages. | Tools like Chatbox and Cherry often have relatively basic Markdown rendering and code highlighting effects. |
| Single-File Deployment | Using Go鈥檚 standard library embed, all static resources (like images, CSS) can be directly bundled into a single executable file, served via the same HTML service. |
Relies on bloated dependencies: requires external packaging tools, resulting in large binaries or scattered files, complicating deployment. |
 Minimal Size |
The packaged application size is only 10-25MB, making distribution and download effortless. | Applications based on Electron / WebView2 typically exceed 100MB. |
 Ultra-Low Memory Usage |
Runtime memory consumption is approximately 8MB, with near-zero CPU overhead, feeling light and fast. | Electron / WebView2 applications easily consume over 500MB of memory. |
| Code Security | Go鈥檚 compiled binaries, combined with garble obfuscation techniques, effectively prevent logic from being reverse-engineered. | Easily exposed: Scripting languages like Python and Node.js are extremely easy to decompile and expose, offering no protection for trade secrets. |
 Cross-Platform Compatibility |
Go natively supports Windows 7/10/11, Linux, and macOS, covering the broadest user base. | Solutions like Webview2 do not support older systems like Windows 7. |
| Runtime Stability | The core relies only on Go鈥檚 official standard library, ensuring long-term stable operation without crashes. | Relies on numerous third-party libraries, posing risks related to version compatibility and stability. |
 Complete Control |
The core code depends only on Go鈥檚 official standard library, with no third-party GUI framework black boxes, giving you complete control over the code for easy long-term maintenance and troubleshooting. | Depends on large third-party frameworks, resulting in code redundancy and difficulty troubleshooting complex issues. |
 Globalization Support |
The interface is based on standard web pages, allowing direct use of the browser鈥檚 built-in translation feature to easily support hundreds of languages worldwide. | Requires embedding multilingual text libraries, incurring significant workload. |
| Cross-Language Reusability |
The framework concept is clear, making it adaptable for any language that supports HTTP services (e.g., C#, Python, Rust). | Frameworks deeply coupled with specific languages or platforms are difficult to migrate. |
To Developers
In today鈥檚 world, where the AI wave is sweeping the globe and the job market faces challenges, mastering a skill that enables rapid value creation is crucial.
I hope PC-Gui, this lightweight and efficient framework, can become a powerful tool in your hands, helping you quickly turn ideas into reality, develop desktop utilities that users are willing to pay for, and ultimately achieve personal value and commercial success.
Demo Program & Open Source Code [Download Link]:
GitHub Repository Download https://github.com/jiqi136/PC-Gui/releases
LanDisk Download https://sourceforge.net/p/pcgui
Go Language Source Code Build Instructions
Building the project requires only the following two core files:
main.go
The program entry file, containing the main business logic implementation.go.mod
The Go module definition file, used for managing project dependencies and version information.
Download the above files and import them into the project directory to start building.
Like this project? Don鈥檛 forget to give it a 
! Your support is the motivation for continued maintenance.
GitHub https://github.com/jiqi136/PC-Gui
Projects using desktop PC-GUI frameworks :
Ai-Assistant https://github.com/jiqi136/Ai-Assistant
syntax-query https://github.com/jiqi136/syntax-query
English-study GitHub - jiqi136/English-study: English learning - word for word translation 路 GitHub
Magic-square GitHub - jiqi136/Magic-square 路 GitHub
Apache 2.0 Open Source License
This project is licensed under the Apache 2.0 License. This means you are completely free to use the framework鈥檚 source code.
In simple terms, you can:
- Commercial Use: Use the work and its derivatives for commercial purposes and sell them.
- Modify and Distribute: Modify the code and redistribute it under open-source or closed-source terms.