cc-remote provides a private, stable environment to run AI coding tools. It keeps your work inside a protected digital container on a remote server. This setup matches your local identity with your coding projects while saving space through smart data compression. You maintain full control over your files without the risk of exposing your machine to local security threats.
You must visit the project page to download the software for your Windows computer. Follow these steps to bring the system online.
- Go to the official release page.
- Look for the latest version listed under the Releases section.
- Click the file ending in .exe to start your download.
- Open the file once the download finishes to begin the setup process.
Ensure your computer meets these needs before you start.
- A computer running Windows 10 or Windows 11.
- An active internet connection for initial setup.
- 4 gigabytes of free disk space.
- 8 gigabytes of system memory.
- An active account on a remote server or virtual private server provider.
The installation process takes a few minutes. Follow these instructions to complete the setup.
- Open the downloaded installer file.
- Accept the prompts that appear on your screen.
- Select the folder where you want to keep the application files.
- Click the Install button to copy the files to your computer.
- Tap the Finish button once the progress bar reaches the end.
- Open the newly created application shortcut on your desktop.
The app connects your local machine to your remote sandbox automatically.
- Launch cc-remote from your start menu.
- Enter your server connection credentials when requested.
- Select the folder on your computer that contains your project code.
- Wait for the app to create the sandbox container.
- The application confirms the connection with a green checkmark on the dashboard.
- Open your preferred text editor to start working on your files.
This software focuses on safety and speed. It solves common problems for people who use AI assistants for coding.
The software builds a container environment. This container acts as a wall between your computer and the AI assistant. Even if the AI performs a complex task, your personal system files remain untouched and safe.
The tool maps your Git and GitHub identity to the remote server. When you commit changes or push code to a repository, the server knows it is you. You do not need to configure complex keys or user profiles manually. The app handles this handshake in the background.
AI coding agents often consume large amounts of data. This tool shrinks your project data before it sends files to the AI. This process, known as context compression, results in faster performance. It ensures you stay within your data limits while providing the agent with the information required to write accurate code.
Use this section to solve common issues during your initial setup.
Where does my code live? Your code sits on your local machine and your remote server. The software keeps both versions in sync.
Does this work without a remote server? You need a remote server to use the sandbox features intended by this tool. The software requires this extra layer to maintain the security benefits of the sandbox.
Can I run multiple projects? Yes. You can open multiple instances of the software to manage different projects at the same time. Each project runs in its own isolated container.
How do I update the software? Check the primary download link periodically. If a new version exists, download the new installer and run it over the old version. The software retains your settings automatically.
Your privacy matters. This tool encrypts the connection between your computer and the remote server. No third party can read the files during transmission. The software does not send your data to external servers other than the ones you define.
You control the credentials. If you lose your connection, the software locks the container until you verify your credentials again. This prevents unauthorized access if you step away from your workstation.
If you face trouble, check the following resources.
- Review the logs located in the installation folder under the logs subdirectory.
- Check your network configuration to ensure your firewall allows the app to communicate with your remote server.
- Visit the GitHub issues page if you encounter a bug. Clear, simple descriptions of your problem help the developers provide a fix.
The app creates a dedicated environment via Docker. It isolates all AI activities. The Headroom integration allows for smart project parsing. By stripping unnecessary files from your request, it ensures the AI focuses on relevant code. This interaction relies on standard Git protocols for identity. You can trust that your local environment and remote sandbox remain separate until you request a sync operation.