OpenClaw Setup Guide

Complete guide to setting up and running AI agents. From environment setup to deployment — build your first autonomous agent in one afternoon. No coding required.

€19 one-time
Get the Setup Guide →

Everything You Need to Get Started

Six comprehensive modules that take you from zero to a fully running AI agent system.

Environment Setup

Step-by-step instructions for setting up your local environment. Python, Node.js, dependencies, and virtual environments — all covered.

Agent Configuration

Configure your AI agent's memory, tools, scheduling, and communication channels. Copy-paste config templates included.

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Ready-Made Blueprints

5 complete agent blueprints you can deploy immediately: Sales, Marketing, Research, Lead Qualification, and Executive Assistant.

Customization Guide

Learn how to adapt any blueprint to your specific business. Custom prompts, tool integration, and workflow design.

Deployment Options

Deploy locally or to the cloud. Covers local machines, VPS, Cloudflare Workers, and serverless options with pros and cons.

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Troubleshooting

Common issues and their fixes. Debug your agent's behavior, fix API errors, handle rate limits, and monitor performance.

See How Simple Setup Is

Follow along with clear terminal commands. Every step is explained — no guesswork.

Terminal — Agent Setup
$ git clone https://github.com/your-org/agent-template.git
Cloning into 'agent-template'... done.
$ cd agent-template && pip install -r requirements.txt
Installing dependencies... 24 packages installed
$ cp config.example.json config.json
Configuration template ready.
$ python agent.py --blueprint sales-bdr
[Agent] Loading Sales BDR blueprint...
[Agent] Connecting tools: email, CRM, search...
[Agent] Agent running. Monitoring 3 pipelines.
Terminal — Agent Status
$ python agent.py --status
Agent: Sales BDR
Status: Running
Uptime: 4h 32m
Tasks completed: 47
Leads found: 12 new prospects
Emails sent: 8 personalized outreach
Next action: Follow-up batch in 26m

How It Works

Three steps to your first running agent.

1

Set Up Your Environment

Follow the guide to install dependencies and configure your machine. Works on Mac, Windows, and Linux. Takes about 15 minutes.

2

Pick a Blueprint

Choose from 5 ready-made agent blueprints. Each comes with architecture diagrams, prompts, and configuration templates.

3

Deploy and Monitor

Launch your agent locally or in the cloud. The guide includes monitoring setup so you can track performance in real time.

What's Included

Complete Environment Setup Guide

Python, Node.js, virtual environments, API keys, and dependency management

Agent Configuration Templates

Copy-paste JSON configs for memory, scheduling, tools, and communication

5 Ready-to-Deploy Blueprints

Sales BDR, Content Marketing, Customer Research, Lead Qualification, Executive Assistant

Customization Playbook

Adapt any blueprint to your business with custom prompts, tools, and workflows

Deployment Guide (Local + Cloud)

Step-by-step for local machines, VPS, Cloudflare Workers, and serverless

Monitoring and Troubleshooting Manual

Debug common issues, set up alerts, handle rate limits, and track agent performance

Tool Integration Reference

Connect your agent to APIs, browsers, email, CRMs, and databases

Free Updates

All future updates to the guide included at no extra cost

System Requirements

Works on any modern computer. No special hardware needed.

Minimum

  • Windows 10, macOS 12, or Ubuntu 20.04+
  • Python 3.9+
  • 4 GB RAM
  • 2 GB free disk space
  • Internet connection

Recommended

  • 8 GB+ RAM for multiple agents
  • SSD for faster data processing
  • API keys for Claude, GPT, or local LLM
  • VPS or cloud account for 24/7 operation
  • Dedicated email for agent communications

Start building AI agents today

Everything you need to go from zero to a running autonomous agent. One guide. One afternoon.

Get the Setup Guide — €19 →