๐—ช๐—ต๐˜† ๐—œ ๐—–๐—ต๐—ผ๐˜€๐—ฒ ๐—ง๐—ฎ๐˜‚๐—ฟ๐—ถ ๐—ข๐˜ƒ๐—ฒ๐—ฟ ๐—˜๐—น๐—ฒ๐—ฐ๐˜๐—ฟ๐—ผ๐—ป ๐—ณ๐—ผ๐—ฟ ๐— ๐˜† ๐—Ÿ๐—ผ๐—ฐ๐—ฎ๐—น ๐—”๐—œ ๐——๐—ฒ๐˜ƒ ๐—ง๐—ผ๐—ผ๐—น

Building a desktop app? You must pick a framework.

I built Quantamind. It is a workspace for local AI models. You use it to test prompts and compare models.

Many people use Electron. It is a standard choice. But Electron uses too much RAM.

Local AI models need every bit of memory. Your tools should not fight your models for resources.

Electron uses 600MB of RAM while idle. This wastes memory your LLM needs.

I used Tauri instead.

The difference is clear:

Tauri uses 85% less memory. This is a requirement for local AI tools.

Source: https://dev.to/quantamind/why-i-chose-tauri-over-electron-for-my-local-ai-dev-tool-80mb-vs-600mb-ram-5d7e