CloudRouter Empowers AI Coding Agents with VM and GPU Management

CloudRouter is a CLI tool designed to empower AI coding agents such as Claude Code and Codex to initiate and manage cloud VMs and GPUs. By allowing these agents to run development environments in cloud-based sandboxes, CloudRouter alleviates the burden on local resources, effectively isolating agents' processes and enabling parallel tasks without local constraints.

Key Features

• VM and GPU Initiation: Agents can start a VM directly from a local project directory with commands like cloudrouter start ./my-project. For GPU-accelerated tasks, use cloudrouter start --gpu B200 ./my-project.
• Remote Execution: Agents can execute commands remotely within the VM using SSH, such as cloudrouter ssh cr_abc123 "npm install && npm run dev".
• Integrated Development Environments: Every VM is equipped with VNC desktop, VS Code, and Jupyter Lab, accessible via authenticated URLs.
• Browser Automation: CloudRouter supports browser automation through a wrapped agent-browser library. You can open URLs and interact with elements within the sandbox using commands like cloudrouter browser open cr_abc123 "http://localhost:3000".
• File Management: It supports file syncing and uploading between local directories and the VM, even offering a watch mode for automatic re-upload upon changes.

Potential Use Cases

Ideal for developers utilizing AI agents for code generation and orchestration, especially when handling GPU-intensive tasks like training or inference. Its ability to allocate and manage GPU resources makes it particularly valuable for experimentation with machine learning models.