Privacy-Focused AI Terminal Emulator Written in Rust

I’m sharing pH7Console, an open-source AI-powered terminal that runs LLMs locally using Rust.

GitHub: https://github.com/EfficientTools/pH7Console

It runs fully offline with no telemetry and no cloud calls, so your command history and data stay on your machine. The terminal can translate natural language into shell commands, suggest commands based on context, analyse errors, and learn from your workflow locally using encrypted storage.

Supported models include Phi-3 Mini, Llama 3.2 1B, TinyLlama, and CodeQwen, with quantised versions used to keep memory usage reasonable.

The stack is Rust with Tauri 2.0, a React + TypeScript frontend, Rust Candle for inference, and xterm.js for terminal emulation.

I’d really appreciate feedback on the Rust ML architecture, inference performance on low-memory systems, and any potential security concerns.

Thanks!