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A step-by-step guide to build your own AI agent.

1,714 starsPython

Build Your Own OpenClaw – A step by step guide

by zane__chen·Mar 13, 2026·4 points·0 comments
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AI Analysis

●MidRabbit Hole

Eighteen-step tutorial refactoring a chat script into event-driven multi-agent architecture.

Strengths
  • •Progressive complexity teaches architectural decisions, not just API calls or library usage.
  • •Runnable code at every step prevents tutorial hell abandonment and verifies concepts.
Weaknesses
  • •Educational repo competes with countless Build Your Own Agent courses and blogs.
  • •No actual product to deploy, just learning material for aspiring AI engineers.
Category
Education
Target Audience

Developers learning AI agent architecture

Similar To

LangChain · Full Stack LLM Bootcamp · Build Your Own LLM

Post Description

A step-by-step tutorial to build your own AI agent, from a simple chat loop to a lightweight version of OpenClaw.

*18 progressive steps* that teach you how to build an minimal version of OpenClaw. Each step includes:

- A `README.md` going through key components and design decision. - A Runnable codebase.

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