MuhammadUsmanGM

MuhammadUsmanGM / code-stick

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Plug in a USB. Get an offline AI coding agent on any laptop — Windows, macOS, Linux. opencode + Ollama, pre-built for 5 targets, zero install on the host.

coding-agent local-llm offline-ai ollama opencode
44
9
100% credibility
Found May 17, 2026 at 45 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

code-stick is a tool that installs a complete AI coding assistant onto a USB drive. Once installed, you can plug that USB into any Windows, Mac, or Linux computer and use the AI coding assistant without installing anything on the host machine. Everything runs from the USB, nothing is left behind, and no internet connection is needed after installation. It's designed for people who work in restricted environments, use shared computers, travel frequently, or simply want to keep their coding work private.

How It Works

1
🔍 You discover code-stick

You hear about a tool that puts an AI coding assistant on a USB drive so you can use it on any computer without installing anything.

2
💾 You prepare your USB

You grab a USB drive (32GB or more) and plug it in. The installer helps you pick the right AI model for your coding needs.

3
⚡ Everything downloads to your USB

The installer downloads the AI assistant and your chosen model directly onto the USB. No traces are left on your computer.

4
🎒 You carry your AI assistant with you

You slip the USB into your pocket. Now you have a private, offline-capable coding assistant that goes wherever you go.

5
You plug into any machine
🪟
On a Windows computer

Double-click the Windows launcher and your AI coding assistant springs to life

🍎
On a Mac

Double-click the Mac launcher and your AI coding assistant springs to life

🐧
On a Linux computer

Run the Linux launcher and your AI coding assistant springs to life

6
💻 You code privately, anywhere

Your AI coding assistant works entirely from the USB, asking questions, suggesting changes, and helping you build — without touching the host computer at all.

🎉 You achieved true portability

You can code on any computer — even air-gapped machines, shared laptops, or computers with no internet — while keeping your work completely private.

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AI-Generated Review

What is code-stick?

Code-stick is a TypeScript CLI that turns any USB drive into a portable, offline AI coding assistant. Install once, plug into any laptop, and get a terminal-based coding agent powered by opencode and Ollama, with all model data stored locally on the stick. It supports Windows, macOS (Apple Silicon and Intel), and Linux, staging binaries for all five platforms so the same drive boots anywhere. Everything runs on localhost, nothing touches the network, and quitting the agent kills the Ollama process cleanly.

Why is it gaining traction?

The pitch is simple: air-gapped machines, borrowed laptops, and privacy-sensitive codebases are all scenarios where cloud AI tools simply aren't an option. Code-stick solves this by making the entire stack portable and self-contained. The CLI handles the full lifecycle—install, start, add-model, remove-model, upgrade-engine, doctor (a live audit command)—with clear error messages and recovery paths. The security model is explicit: no telemetry, no background HTTP, and bug reports are manually reviewed before upload.

Who should use this?

Developers in regulated environments (banking, healthcare, defense) who can't install software on their workstations. Contractors rotating through client machines. Anyone working on proprietary code under NDA who refuses to paste it into a third-party API. The sweet spot is a 32-64GB USB 3.0+ stick with a 7B-class model for reasonable performance on modest hardware.

Verdict

At 44 stars with no CI coverage for Windows or macOS, code-stick is early-stage software with a 1.0% credibility score. The documentation is thorough and the design is thoughtful, but the lack of automated testing on two of its three target platforms means you're relying on manual verification. Worth trying if your use case demands offline AI coding, but treat it as a power tool for a specific niche rather than a production-ready daily driver.

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