3 Ways to Run OpenClaw: Local Machine vs VPS vs RemoteClaw
3 Ways to Run OpenClaw
Many builders want to run OpenClaw to automate workflows, manage tasks, or build AI-powered systems.
But the way you deploy OpenClaw has a huge impact on:
- security
- stability
- maintenance effort
- and whether your agent can truly run 24/7
Today there are three common approaches:
- Run on a personal machine
- Run on a VPS
- Run using RemoteClaw
Let’s look at the trade-offs.
1. Running OpenClaw on a Personal Machine
This is the fastest way to start, but it comes with serious limitations.
Security risks
Your agent may have access to:
- personal files
- private documents
- sensitive data
If something goes wrong, the agent could accidentally modify or delete important files.
Not built for 24/7
Personal computers are not designed for continuous AI workloads.
Common problems include:
- the computer being turned off
- unstable internet
- limited CPU/RAM
- background apps interfering
Operational friction
Running locally also means:
- complex installation
- dependency issues
- constant debugging
You also need to buy and manage LLM API keys yourself, sometimes from multiple providers to avoid token limits.
👉 Local deployment is fine for experiments, but risky for real automation.
2. Running OpenClaw on a VPS
A VPS provides better uptime, but adds infrastructure responsibilities.
You manage the server
You need to:
- choose CPU and RAM
- configure the environment
- monitor resource usage
This requires technical server skills.
Recovery and maintenance
If the agent crashes or the server restarts, you must:
- SSH into the server
- restart the process
- debug the issue
Without monitoring, your agent may stay offline without you noticing.
Backups and API keys
Most VPS setups also require you to handle:
- backups
- infrastructure updates
- LLM API key management
👉 VPS improves stability, but you become the DevOps engineer.
3. Running OpenClaw with RemoteClaw
RemoteClaw removes most of the operational complexity so you can focus on what the agent should do.
No infrastructure to manage
You don't need to:
- run servers
- configure environments
- monitor uptime
Just interact with your agent through Telegram or the web interface.
Safer access
Agents only receive the specific accounts or tokens you provide, reducing exposure to personal data.
Built for reliability
RemoteClaw includes:
- automatic backups and restore
- optimized OpenClaw configuration
- support for long multi-step tasks
- continuous skill updates from the RemoteClaw team
Flexible LLM options
You can choose from multiple LLM providers without managing multiple API keys yourself.
👉 The platform handles the complexity so your agent can run reliably 24/7.
The Bottom Line
Running OpenClaw locally or on a VPS works for experimentation, but both approaches require time, maintenance, and infrastructure management.
If your goal is to build reliable AI agents that work continuously, a managed environment like RemoteClaw lets you focus on automation instead of servers.
The future of AI agents isn’t about managing infrastructure —
it’s about deploying intelligent systems that work for you 24/7.