How to run an autonomous AI coding agent 100% locally

Cloud coding assistants send your prompts, and often your code, to someone else's servers. If you'd rather keep everything on your machine, here's how to run a fully autonomous coding agent locally.

1. Install NoTrack Coder

Download the Windows installer and run it — it sets up the WebView2 runtime and enables auto-updates in about a minute. No account is required to run it. Prefer no install? The portable single .exe runs from anywhere.

2. Point it at a model

You have three options, all local-friendly:

A local runtime — Ollama or LM Studio, so the model never leaves your machine.
The built-in uncensored coding model that ships with the app.
Any OpenAI/Anthropic-compatible endpoint, if you prefer a hosted model.

3. Let it use real tools

Once connected, the agent doesn't just advise — it acts. Ask it to fix a bug, run migrations, or deploy, and it runs the shell, edits files, SSHes into servers, queries your database and drives the browser, step by step, showing each result.

4. Keep it private and under control

Everything runs locally with no telemetry. The local API is guarded by a per-session token, so nothing else on your machine can drive the agent. Add MCP connectors, schedule cron-agents, and fan work out to sub-agents as your workflow grows.

Why local matters

Local execution means your code, files and context stay yours — no cloud lock-in, no tracking, and it keeps working regardless of anyone's outage. That's the whole point of NoTrack Coder.

Ready to try it? Download for Windows or read the FAQ.