---
title: "Free Open-Source Tutorial Teaches You to Build OpenClaw From Scratch"
subtitle: "A free, MIT-licensed, 18-step Python tutorial that takes you from a basic chat loop to a fully autonomous multi-agent system modeled after OpenClaw."
url: "https://alphasignal.ai/news/free-open-source-tutorial-teaches-you-to-build-openclaw-from-scratch"
author: "AlphaSignal Newsroom"
author_url: "https://alphasignal.ai/editorial-team"
company: "AlphaSignal"
company_url: "https://alphasignal.ai/company/alphasignal"
published: "2026-06-28T12:49:25.000Z"
updated: "2026-06-30T19:13:49.559Z"
type: "Repo"
topics:
  - "Agents"
  - "Development"
subtopics:
  - "Agent Frameworks"
  - "Tool Use"
  - "Code Agents"
  - "Code Agents"
upvotes: 38
source_url: "https://github.com/czl9707/build-your-own-openclaw"
comments: 0
truncated: true
---

# Free Open-Source Tutorial Teaches You to Build OpenClaw From Scratch

> A free, MIT-licensed, 18-step Python tutorial that takes you from a basic chat loop to a fully autonomous multi-agent system modeled after OpenClaw.

[Build Your Own OpenClaw](https://github.com/czl9707/build-your-own-openclaw) is a free, open-source tutorial repo that walks you through constructing a production-grade AI agent from scratch, one small step at a time. With 1,700+ stars and 310 forks since its launch, it has clearly hit a nerve: most agent tutorials hand you a finished framework and leave you guessing how the pieces fit together. This one does the opposite.

## The thing it's teaching you to build

OpenClaw is an open-source personal AI agent with 160,000+ GitHub stars that runs on your hardware and communicates through messaging apps like Telegram and WhatsApp. It is an open-source, self-hosted agent framework that connects large language models to external tools and messaging surfaces through a unified runtime, and has rapidly grown into a general-purpose agent platform since its launch in late 2025\. The tutorial builds a lightweight clone of it, called `pickle-bot`, so you learn the architecture by reconstructing it yourself.

At its core, OpenClaw operates through a central Gateway process that multiplexes WebSocket and HTTP communication on a single port. The Gateway manages session lifecycles, tool dispatch, channel routing, and agent orchestration. Agents execute through an embedded runtime that implements a multi-turn reasoning loop: the model receives conversation history and system prompts, generates tool calls, executes them sequentially, and resubmits updated context until a text-only response terminates the loop. The tutorial teaches you to build exactly this, layer by layer.

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## Sources

- [czl9707/build-your-own-openclaw - GitHub](https://github.com/czl9707/build-your-own-openclaw)
- [Build Your Own OpenClaw - Official Tutorial Site](https://build-your-own-openclaw.kiyo-n-zane.com/)
- [OpenClaw AI Agent Framework: Where It Fits Among LangChain, CrewAI, and AutoGen](https://sfailabs.com/guides/openclaw-ai-agent-framework)
- [What Is OpenClaw? Complete Guide to the Open-Source AI Agent - Milvus Blog](https://milvus.io/blog/openclaw-formerly-clawdbot-moltbot-explained-a-complete-guide-to-the-autonomous-ai-agent.md)
- [ClawMobile: Rethinking Smartphone-Native Agentic Systems - arXiv](https://arxiv.org/pdf/2602.22942)