If you want to keep Claude Code running nonstop on infrastructure you control, the answer is to run Claude Code on server that stays on and connected. Hive makes it simple: install the daemon on any machine, start your Claude Code session, detach from your local machine, and leave it running. Reconnect later from any device and continue exactly where you stopped.
Why Run Claude Code on a Server?
Running Claude Code locally means it stops when you close your laptop, lose internet, or need to move. A dedicated server solves this:
- 24/7 uptime – The session survives reboots, network hiccups, and laptop lids.
- Remote access – Connect from your desktop, phone, or any browser.
- Resource isolation – Your server’s CPU and RAM are dedicated to the agent.
- Scalability – Add more servers and cluster them with Hive’s mesh network.
Setting Up Your Server for Claude Code
To run Claude Code on server, you need a Linux machine (VPS, dedicated, or even a Raspberry Pi). Once you have SSH access, install Hive:
- Install Hive – Run the one-liner on your server:
curl -fsSL https://dl.vazac.dev/install.sh | shThis installs the daemon and CLI with auto-updates. - Start a session – Use
hive runfollowed by your Claude Code command. For example:hive run "claude" - Detach – Close the app or press Ctrl+P+Q. The session keeps running on the server.
- Reattach – From another device, run
hive listto see active sessions andhive attach <session-id>to reconnect.
Download Hive for your server and client devices from the download page.
Using Hive to Manage Remote Sessions
Hive treats every Claude Code session as a persistent agent. Sessions live on the server, not your client. This means you can switch from your laptop to your phone mid-task. Hive’s WebSocket connection handles encryption and low-latency streaming.
| Feature | Local Machine | Server with Hive |
|---|---|---|
| Runs when laptop is off | No | Yes |
| Access from other devices | Limited | Any device (desktop, mobile, web) |
| Scaling | Single machine | Cluster of servers |
| Session persistence | Depends on your terminal | Hive-managed, survives disconnects |
Clustering for Reliability
If one server goes down, your agent doesn’t have to stop. Hive’s leaderless mesh lets you join multiple machines into a cluster. Each node sees every session. You can route a Claude Code session to a less loaded server or take over from another device without losing state. Set it up once and forget about single points of failure.
Security and Privacy
Your code and prompts stay on your own server. Hive does not log or store session content. The platform is operated from the Czech Republic and follows GDPR. Payments are handled by Stripe – Hive never sees your card details. For full details, review the privacy policy.
Start Running Claude Code 24/7 Today
Having a persistent Claude Code agent on your own server gives you freedom. You can debug long-running tasks, collaborate with teammates, and automate workflows without babysitting your laptop. Hive is the control plane that makes it seamless.
Ready to try it? Download Hive and run your first remote session in minutes. For licensing options, see the pricing page.
Časté dotazy
Can I use Hive with other AI agents besides Claude Code?
Yes. Hive works with Codex, Copilot, OpenCode, or any shell command. All agents are managed the same way over a single WebSocket connection.
Is my data safe when running Claude Code on a server with Hive?
Your data stays on your server. Hive only manages the connection and session metadata. All traffic is encrypted, and we do not log your prompts or outputs.
What kind of server do I need to run Claude Code 24/7?
Any Linux machine with an internet connection works – from a cloud VPS to a Raspberry Pi. For heavy tasks, choose a server with adequate RAM and CPU.
How do I reconnect to a session after disconnecting?
Use the Hive CLI: run hive list to see active sessions, then hive attach <session-id> to reattach. You can also use the Hive desktop or mobile app.
Can I run multiple Claude Code sessions at once?
Yes. Hive supports multiple concurrent sessions. List them with hive list and attach to any one of them.