Best VPS for OpenClaw in 2026
OpenClaw is a self-hosted AI agent that runs 24/7 on your VPS — connected to WhatsApp, Telegram, and Discord with full data privacy. Your conversations never leave your server.
What is OpenClaw, and why host it yourself?
OpenClaw is a self-hosted AI agent platform that runs a personal AI assistant continuously on your VPS. Unlike browser-based AI tools, OpenClaw maintains persistent memory between conversations, executes multi-step tasks autonomously, and integrates directly with your messaging channels — WhatsApp, Telegram, Discord, Slack, and email — without any data leaving your server. The agent model is closer to a background process than a chatbot: OpenClaw can monitor your inbox, summarize news feeds, execute scheduled research tasks, and respond to incoming messages on your behalf.
The resource requirements for OpenClaw depend heavily on your LLM strategy. If you connect OpenClaw to an external API (OpenAI, Claude, Gemini), the agent itself runs lean — 1–2 GB RAM, similar to n8n. If you want full privacy by running a local language model via Ollama or llama.cpp, the calculus changes significantly: a 7B parameter model needs 8–12 GB RAM, and a 13B model needs 16–24 GB. GPU acceleration becomes important for acceptable response times at the larger sizes.
Contabo and Hetzner both offer high-memory VPS plans that make local LLM hosting economically viable. Contabo's Cloud VPS 2 (16 GB RAM, $8.49/mo) is an exceptional value for running Ollama alongside OpenClaw. For users who prefer European hosting with dedicated vCPUs, Hetzner's CX42 (16 GB, €14.99/mo) provides stronger single-core performance for inference workloads.
OpenClaw VPS Requirements
How much server power does this tool actually need? Tested recommendations based on workload size.
Basic
- ✓ 2 vCPU
- ✓ 4 GB RAM
- ✓ 40 GB NVMe
External LLM API (OpenAI/Claude), light agent workloads.
Recommended
- ✓ 4 vCPU
- ✓ 8 GB RAM
- ✓ 100 GB NVMe
External API + multiple integrations, moderate message traffic.
Production
- ✓ 8 vCPU
- ✓ 32 GB RAM
- ✓ 200 GB NVMe
Local LLM via Ollama (Llama 3 8B), full privacy, high traffic.
Top VPS Providers for OpenClaw
Ranked by overall value for running OpenClaw. All providers tested with Docker setup.
DigitalOcean
Top PickBest for DevelopersDeveloper-friendly cloud with one-click app marketplace and great docs.
Hostinger
Best ValueAffordable VPS with excellent performance and global data centers.
Hetzner
Best in EuropeEuropean cloud with dedicated vCPUs and transparent pricing.
Vultr
High-performance cloud with 32 global data centers and hourly billing.
Contabo
Most ResourcesMaximum resources at minimum prices — most bang for your buck.
Why Self-Host OpenClaw on a VPS?
OpenClaw's core value proposition is privacy: your conversations, the tasks you assign your AI agent, and the data it processes never leave your infrastructure when using a local LLM. A VPS also provides the continuous uptime that mobile and desktop apps can't:
24/7 availability
OpenClaw runs as a background service on your VPS — no mobile device that sleeps, no desktop that powers down. Your agent responds to messages and executes tasks at any hour.
Complete conversation privacy
With a local LLM via Ollama, every message your AI agent processes stays on your server. Your queries never become training data for third-party models or transit external infrastructure.
Access to private services
OpenClaw running on your VPS can query internal databases, hit private APIs, and access services behind your firewall — capabilities fundamentally impossible when routing through an external cloud platform.
Local LLM cost efficiency
Running Ollama with a 7B model on Contabo's 16 GB plan ($8.49/mo) costs a fraction of the per-query fees from OpenAI or Claude at high message volumes. Local inference pays for itself at moderate usage.
Frequently Asked Questions
Do I need a GPU to run OpenClaw?▾
Not necessarily. If you connect OpenClaw to external AI APIs (OpenAI, Anthropic Claude, Google Gemini), the agent itself is lightweight — 1–2 GB RAM is sufficient. A GPU becomes valuable only if you want to run a local LLM via Ollama for complete privacy. For most users, connecting to a cloud API while self-hosting OpenClaw provides a good balance of privacy and performance.
How much RAM do I need to run a local LLM with OpenClaw?▾
It depends on the model. Llama 3 8B quantized to 4-bit needs roughly 6–8 GB RAM. Llama 3 70B needs 40+ GB. For a practical setup, Contabo's Cloud VPS 2 (16 GB RAM, $8.49/mo) running Ollama with Mistral 7B gives good results without GPU hardware. Hetzner's CX42 (16 GB, €14.99/mo) is the European alternative with dedicated CPU cores for better inference throughput.
Which messaging platforms does OpenClaw integrate with?▾
OpenClaw integrates with WhatsApp (via WhatsApp Business API or Baileys), Telegram, Discord, Slack, and standard email (SMTP/IMAP). Each integration runs as a persistent connection — OpenClaw responds to messages via webhooks or WebSocket connections without polling, keeping latency low.
How does OpenClaw handle long-running AI tasks?▾
Tasks that take more than a few seconds — web research, document analysis, multi-step reasoning — run asynchronously. OpenClaw queues the task, executes it in the background, and sends a completion message when done. This is why a persistently-running VPS is essential: if the server powers down mid-task, the execution is lost.
Is OpenClaw suitable for handling sensitive personal data?▾
When connected to a local LLM, OpenClaw processes everything on your VPS — no data leaves your server. For sensitive use cases (personal finances, medical records, confidential business information), using a local model eliminates third-party data exposure entirely. With external AI APIs, your data is subject to those providers' privacy policies even when routed through your VPS.
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