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Run Claude Code from a USB drive on any PC — no installation required.

250
109
100% credibility
Found May 02, 2026 at 118 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
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AI Summary

A portable folder-based AI coding assistant that runs on any computer without installation, using online services or local offline models via a simple menu and web dashboard.

How It Works

1
📥 Grab the portable AI coder

Download the handy folder to your USB stick or desktop so you can carry your smart coding buddy anywhere.

2
🔌 Plug in and launch

Stick the USB into any computer and click the simple start button to wake up your helper without messing up the machine.

3
Choose your thinking power
☁️
Online helper

Share a secret pass from a service to connect to powerful cloud smarts.

🏠
Offline local

Grab ready-to-use thinking models so it works without internet.

4
⚙️ Pick your style

Decide on careful mode that asks before changes or quick auto mode for speed.

5
💻 Watch it code for you

Tell your buddy what project to build, and see it write, test, and perfect your code step by step.

6
🖥️ Chat in the web window

Open a friendly browser view to follow conversations and see its thoughts like a real chat.

🎉 Code complete and portable

Your projects are done, everything stays on the USB, ready to unplug and use on the next computer clean and simple.

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AI-Generated Review

What is OpenClaude-Portable?

OpenClaude-Portable lets you run Claude code locally from a USB drive on any Windows, Linux, or macOS machine without installation—just plug in, launch via a simple script, and get a full AI coding agent. It bundles a Node.js runtime and supports six providers like Ollama for offline use, Anthropic Claude, OpenAI, or OpenRouter, with options to run Claude code with Ollama or in a speed-optimized local proxy. Users get a terminal interface for agent tasks, a web dashboard at localhost:3000, and zero system footprint since all data stays on the drive.

Why is it gaining traction?

It stands out for true portability: copy to USB, run Claude locally anywhere, even resuming sessions or switching providers via menu—no Docker or host changes needed. The local proxy slashes Ollama prompt sizes by 90%, making CPU inference viable at 5-20s latency, while normal mode requires approval for file edits or commands. With auto-updates and cross-platform data sharing, it's a quick way to run Claude code in sandbox-like isolation without setup hassles.

Who should use this?

Freelance developers carrying projects across client machines, remote workers on locked-down corporate PCs, or hobbyists wanting to run Claude Opus locally with Ollama for offline coding sessions. Ideal for prototyping scripts, debugging on the go, or testing AI agents without polluting host systems—think consultants running GitHub workflows manually from a branch on air-gapped setups.

Verdict

Worth a spin for portable AI coding needs, especially local Ollama runs, but its 21 stars and 1.0% credibility score signal early-stage maturity—docs are solid, but expect tweaks for edge cases. Fork-friendly MIT license makes it low-risk to adapt.

(187 words)

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