Infrastructure

OpenClawBox: Self-Hosted AI Agent Infrastructure

Build your own VPA appliance for running AI agents securely at home or in your office.

The OpenClawBox Concept

An OpenClawBox is a dedicated hardware appliance designed to run OpenClaw and other AI agents in a completely private, self-hosted environment. Think of it as your personal VPA server - a physical manifestation of the Virtual Private Agent architecture.

Just as NAS devices democratized private cloud storage, the OpenClawBox concept democratizes private AI agent hosting. Your data, your agent, your control.

Why Self-Host Your AI Agent?

Complete Privacy

Your conversations, tasks, and data never leave your premises. No cloud provider sees your activity.

Always Available

No dependency on cloud services. Your agent works even during internet outages (for local tasks).

Data Sovereignty

Meet regulatory requirements by keeping all processing within your jurisdiction.

Custom Integrations

Connect to local services, home automation, internal databases without exposing them to the internet.

Hardware Specifications

Building an OpenClawBox doesn't require exotic hardware. Here are recommended configurations:

Entry Level

Personal use, basic automation

~$300

Components

  • Raspberry Pi 5 (8GB) or Intel NUC
  • 256GB NVMe SSD
  • Gigabit Ethernet
  • 32GB microSD for OS

Notes

Sufficient for OpenClaw with cloud AI APIs. Limited local model capability.

Prosumer

Power users, small office

~$800

Components

  • Mini PC with Intel i5/Ryzen 5
  • 32GB RAM
  • 512GB NVMe SSD
  • Optional: Entry GPU (RTX 3060)

Notes

Can run smaller local models (7B-13B parameters) alongside OpenClaw.

Enterprise

Heavy workloads, local LLMs

~$2,500+

Components

  • Workstation with Ryzen 9/Xeon
  • 64GB+ RAM
  • 1TB+ NVMe RAID
  • RTX 4090 or A6000 GPU

Notes

Full local LLM inference (70B+ models). Complete air-gapped operation possible.

Software Stack

The recommended software stack for an OpenClawBox:

Operating System
Ubuntu Server 24.04 LTS / Debian 12 / Proxmox VE
Containerization
Docker + Docker Compose / Podman
Agent Runtime
OpenClaw (latest stable)
Local LLM (Optional)
Ollama / LocalAI / vLLM
Gateway/Proxy
Traefik / Nginx Proxy Manager
Secrets Management
HashiCorp Vault / Bitwarden Secrets
Monitoring
Grafana + Prometheus / Uptime Kuma
Backup
Restic / Borgmatic

Network Architecture

Secure your OpenClawBox with proper network segmentation:

Internet
    │
    ▼
┌─────────────────┐
│   Router/FW     │ ◄── Port forwarding only for VPN
└────────┬────────┘
         │
    ┌────┴────┐
    │  VLAN   │ ◄── Isolated network segment
    └────┬────┘
         │
┌────────┴────────┐
│   OpenClawBox   │
│  ┌───────────┐  │
│  │  Docker   │  │
│  │ ┌───────┐ │  │
│  │ │OpenClaw│ │  │
│  │ └───────┘ │  │
│  │ ┌───────┐ │  │
│  │ │Ollama │ │  │ ◄── Local LLM (optional)
│  │ └───────┘ │  │
│  └───────────┘  │
└─────────────────┘
         │
    ┌────┴────┐
    │ Egress  │ ◄── Controlled outbound
    │ Filter  │     (OpenAI, Anthropic APIs)
    └─────────┘

Getting Started

1

Choose Your Hardware

Start with entry-level if testing, prosumer for daily use

2

Install Base OS

Ubuntu Server or Proxmox for VM flexibility

3

Set Up Docker

Container isolation is crucial for security

4

Deploy OpenClaw

Follow official GitHub instructions

5

Configure Networking

Implement VLAN isolation and egress filtering

6

Set Up Monitoring

Essential for detecting issues and security events

The VPA Standard

The OpenClawBox represents the physical implementation of Virtual Private Agent principles. As AI agents become more integrated into our lives, having a standardized approach to private, secure hosting becomes essential.

Whether you call it an OpenClawBox, a VPA appliance, or a personal AI server - the concept is the same: your agent, your infrastructure, your control.

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