Your own AI agent,on your own server.

Pick a model and a channel. We rent the server, install OpenClaw and bring it online.

Private beta · no card to join

deploy consolePREVIEW · SAMPLE RUN
MODELqwen2.5:3bCHANNELtelegramdeploy ⏎
Provisioning VPS (Hetzner cx33)
Installing Node.js + OpenClaw
Pulling model — qwen2.5:3b via Ollama
Writing knowledge files
Starting agent via PM2
Agent online
// awaiting agent

Self-hosting an agent is an afternoon of ops.

By hand

  1. Rent a VPS, add SSH keys
  2. Install Node.js and Ollama
  3. Pull a model, wire API keys
  4. Install OpenClaw, set the bot token
  5. Keep it alive with PM2
  6. Debug why it stopped replying

With HyperClaw

4 steps

Model, channel, token, deploy.

The wizard

Four steps. No terminal.

During the private beta we run each deploy together with you.

01

Pick a model

Claude, GPT-4, Gemini, or a local Llama / Qwen / Phi-3.

02

Pick a channel

WhatsApp, Telegram or Discord.

03

Add your token

Bot token, server provider, optional docs.

04

Deploy

Watch it provision until the agent replies.

One server. One tenant. You.

Pick a local model and your chats never touch a third-party model API.

Read more

With a local model, HyperClaw provisions a VPS for you alone. There is no shared inference endpoint. The model runs under Ollama on that machine, and OpenClaw is kept alive by PM2. Cloud models (Claude, GPT-4, Gemini) are also available when you want more capability than a small local model gives.

What you get

Cloud or local model

Cloud · API

ClaudeGPT-4Gemini

Local · your VPS

Llama 3.2Qwen 2.5Phi-3
ChannelsWhatsApp, Telegram, Discord
KnowledgeDocs written to the server at deploy
InfrastructureA real VPS you can see and pay for

Get a setup slot.

Private beta. We email you when a slot opens and set it up with you.