popey

popey / lincubate

Public

Run AI coding agents in sandboxed LXD containers

ai cli containers lxd sandbox
16
0
100% credibility
Found Apr 08, 2026 at 16 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

lincubate runs AI coding agents like Claude and Cursor in isolated Linux sandboxes that access only your project files for safe assistance.

How It Works

1
📖 Discover safe AI coding helpers

You hear about lincubate, a tool that lets AI assistants work on your code in a protected playground without risking your main computer.

2
🛠️ Get the tool ready

Download and prepare the simple program on your Linux machine – it only takes a few minutes.

3
🚀 Launch in your project

Go to your coding folder and start an AI helper like Claude; it automatically sets up a safe space with your files accessible inside.

4
Pick your helper style
💬
Text chat helper

Jump into a conversation where the AI reads and suggests changes to your code.

🖥️
Visual editor

Open a graphical coding app inside the safe space to see and edit live.

5
🧠 Let AI work its magic

The AI explores your project, makes suggestions, and updates files while staying fully isolated.

6
🔧 Tweak as needed

Adjust what tools or logins the helper can use, all with simple choices.

✅ Code improved safely

Your project is better than ever, and your computer remains untouched and secure.

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Star Growth

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AI-Generated Review

What is lincubate?

lincubate (lb) is a Go tool to run coding agents locally in sandboxed LXD containers, bind-mounting your project directory so agents like Claude Code, Aider, or Cursor see your files without host access. It solves the risk of AI tools trashing your machine or leaking data by isolating them per project—launch with `lb claude` for terminal agents or `lb cursor-gui` for GUI with X11 forwarding. First run builds a base image with Node.js and agents; repeats are instant.

Why is it gaining traction?

Unlike bare installs, lincubate auto-forwards API keys, supports credential sharing for OAuth, and derives container names from your dir for seamless per-project isolation. Devs dig the zero-config start, customizable apt packages/updaters via lb.toml, and commands like `lb stop` or `lb snapshot` to manage workflows. It enables running GitHub Copilot locally or Cursor IDE safely, without polluting your host.

Who should use this?

Linux devs on LXD who run coding AI locally and want sandboxing for tools like Aider or Gemini CLI. Ideal for backend teams testing LLM agents on repos without risking host deps, or frontend folks firing up Cursor GUI for HTML/JS without install hassles. Skip if you're on macOS/Windows or prefer Docker.

Verdict

Promising for LXD users wanting to run coding agents locally securely, but at 16 stars and 1.0% credibility, it's early—docs are solid, tests cover basics, but expect tweaks. Try if isolation matters; otherwise, stick to native installs.

(198 words)

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