# Building a Free, Local Coding Agent with Tauri, Rust, and Vue

> Source: <https://dev.to/ruvian_fabrin_e83e2e9a9d4/building-a-free-local-coding-agent-with-tauri-rust-and-vue-4ahb>
> Published: 2026-08-23 00:01:32+00:00

I've been building Cerne Code — a free, open-source desktop coding agent that runs 100% locally. Think "Claude Code" as a desktop app, but free and compatible with Ollama, llama.cpp, LM Studio, and any OpenAI-compatible API.

This post covers the architecture, key technical decisions, and what I learned along the way.

The agent can read, edit, and create files (with a sandbox + diff review), run commands (including background dev servers), search the web (multi-engine, no API key needed), generate documents (Excel, Word, PDF, PowerPoint), control the screen via computer_use, and delegate subtasks to sub-agents.

**Tool execution loop:** Each turn, the model decides which tool to call. The loop runs in a background async task — the UI gets progress events via Tauri's event system.

**Sandboxed editing:** Every write_file/edit_file goes to a project-side sandbox first. The user approves/rejects each diff before anything touches the real file.

**Pipeline Dev→QA→Analyst:** The agent can implement something, then a skeptical verifier confirms with real tests before declaring success. If it fails, it loops back to the dev phase.

**Multi-engine web search:** DuckDuckGo + Brave + Mojeek aggregated, with dedup and ranking by consensus. No API key needed by default.

**Audio input & TTS:** Speak instead of typing. Listen instead of reading.

**Skills, Agents & Personas:** Reusable instruction files, specialized sessions, and custom personas with their own tone.

I tested 12 local models on tool-calling ability. The winner: gemma4-e4b-qat-mtp via TurboQuant (llama.cpp fork) — 60/60 on 6 tool tasks, 0.2s per call. Full benchmark in the README.

Rust compilation is slower to iterate on, but the resulting binary is ~5MB vs Electron's 150MB+. Memory usage is also significantly lower — the app idles at ~80MB.

MIT license. Download, fork, contribute.

🔗 [https://github.com/RuvianFabrin/cerne-code](https://github.com/RuvianFabrin/cerne-code)

🔗 [https://ruvianfabrin.github.io/cerne-code.html](https://ruvianfabrin.github.io/cerne-code.html)