Running Claude Code locally works for quick tasks. But once your workflow needs to stay alive, your laptop becomes the limit.\u00a0\u00a0<\/p>\n\n\n\n
Step away mid-task and you lose your context. Start a long-running refactor at night and may wake up to nothing. The process exited the moment your terminal closed, your WiFi dropped or your laptop went to sleep. <\/p>\n\n\n\n
This is not a performance problem. Claude Code is API-bound, not compute-bound. The inference runs on Anthropic’s servers, not yours. Your local machine is just a terminal holding a thread and that thread breaks the moment your machine sleeps, your SSH session disconnects or your lid closes. <\/p>\n\n\n\n
A VPS changes exactly one thing: the process runs on a machine that never sleeps, never loses WiFi and does not care where you are. You connect when you want, disconnect when you want and the Claude Code process can continue running as long as the VPS and session management tools remain active. <\/p>\n\n\n\n
This guide compares running Claude Code on a local machine versus a VPS across the factors that actually matters are session persistence, SSH access, security, collaboration and long-term workflow reliability. It help you to make the right call for where your project is today. <\/p>\n\n\n\n
Choose a local machine if you are learning Claude Code, working solo on short tasks or experimenting with prompts and workflows. No setup cost, no server to manage and you are running in minutes. <\/p>\n\n\n\n
Choose a VPS if your Claude Code sessions disconnect before tasks finish, you need workflows running overnight or unattended, you are collaborating with a team or you want access from multiple devices. <\/p>\n\n\n\n
The core difference is not compute power, Claude Code is API-bound, so your hardware is not the bottleneck. It is session persistence. A VPS keeps your Claude Code process alive when your laptop sleeps, your terminal closes or your network drops.<\/p>\n\n\n\n\n