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How to Install OpenClaw on Mac Mini and OpenClaw on Cloudflare (Step by Step)

OpenClaw on Mac Mini and OpenClaw on Cloudflare represent two practical approaches to running a powerful, self-hosted personal AI agent that performs real-world tasks autonomously. OpenClaw functions as an open-source runtime for AI assistants. It connects large language models primarily Anthropic's Claude to local files, system commands, external APIs, and messaging platforms. The agent handles actions such as processing emails, updating calendars, conducting research, automating workflows, and maintaining persistent memory across interactions. Users communicate with it through apps like WhatsApp, Telegram, or Discord, and it executes tasks with high autonomy when configured appropriately.

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💡For developers extending OpenClaw—especially messaging endpoints and tool-calling APIs— Apidog is an invaluable tool. It supports API design, mocking, testing, debugging, and documentation in one place. With Apidog, you can test OpenClaw routes, validate request and response payloads, and ensure smooth integrations throughout the configuration process.

What is OpenClaw? Technical Overview

OpenClaw (formerly Clawdbot and Moltbot) is a conversation‑first, self‑hosted AI agent framework.

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Developers install it on local hardware or cloud infrastructure to create a persistent AI assistant. The core runtime bridges:

  • A large language model backend (Claude)
  • Executable tools and skills
  • File system access
  • Messaging and communication channels

Natural‑language instructions can trigger complex, multi‑step actions such as:

  • Code execution
  • Browser automation
  • API orchestration
  • Cross‑service integrations

OpenClaw is open source and actively developed on GitHub. Its philosophy is local‑first execution, prioritizing:

  • Privacy
  • Low latency
  • Full customization

You can install OpenClaw on a Mac Mini for total hardware control or deploy OpenClaw on Cloudflare for serverless, edge‑optimized execution.

How to Install OpenClaw on Mac Mini (Local Setup)

1. Prepare the Mac Mini

Set up a dedicated Mac Mini for OpenClaw (not your personal machine):

# Create a fresh Apple ID to avoid iCloud syncing personal data
# Connect via Ethernet for stable networking
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2. Configure Power Settings

Keep machine always running:

# System Settings → Battery / Energy Saver
# Disable sleep modes
# Enable automatic restart after power failure
# Install Amphetamine (App Store) for always-on enforcement
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3. Install Dependencies

Install necessary tools:

# Homebrew
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"

# Node.js
brew install node
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4. Install OpenClaw CLI

Install the global package:

npm install -g clawdbot
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5. Configure API Keys

Set up authentication:

clawdbot onboard
# Provide Anthropic API key from console.anthropic.com
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6. Set Up WhatsApp Channel

Connect messaging:

clawdbot channels login --channel whatsapp
# Scan QR with WhatsApp Business (separate phone required)
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7. Start Gateway

Keep agent listening:

clawdbot gateway start
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8. Harden Setup

Ensure reliability:

# Configure auto-launch using macOS LaunchAgents
# Enable Screen Sharing for remote management
# Install Tailscale for secure VPN access
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How to Install OpenClaw on Cloudflare (MoltWorker)

1. Prerequisites

  • Cloudflare Workers paid plan
  • Access to Workers, Sandboxes, Containers, and R2

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2. Create Cloudflare Services

# Set up:
# - AI Gateway with Anthropic provider
# - R2 bucket for storage
# - Browser Rendering API
# - Zero Trust policies
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3. Clone Repository

git clone https://github.com/cloudflare/moltworker.git
cd moltworker
npm install
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4. Configure Wrangler

Add to wrangler.toml:

[[r2_buckets]]
binding = "MOLT_R2"
bucket_name = "your-openclaw-r2-bucket"

[sandbox]
binding = "SANDBOX"
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5. Set Environment Variables

export ANTHROPIC_BASE_URL="https://your-ai-gateway.cloudflare.com/anthropic"
export MOLTBOT_GATEWAY_TOKEN=$(openssl rand -hex 32)
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6. Deploy

npx wrangler deploy
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Integrating OpenClaw with Apidog

Apidog enhances OpenClaw development by:

  • Designing custom tool schemas
  • Testing webhook endpoints (WhatsApp/Telegram/Discord)
  • Mocking third-party APIs
  • Validating Claude tool-calling payloads

Apidog Integration testing interface

Example workflow:

  1. Design API in Apidog
  2. Generate mock endpoint
  3. Connect to OpenClaw tool registry
  4. Validate responses before production
// Example tool schema
{
  "name": "send_email",
  "description": "Send email via SMTP",
  "parameters": {
    "to": "string",
    "subject": "string",
    "body": "string"
  }
}
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Choose your deployment based on needs:

  • Mac Mini for hardware control
  • Cloudflare for serverless scale

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