Build Your Own OpenClaw With Claude Code: Step-by-Step

Build your own OpenClaw with Claude Code as the guide and the whole project takes a weekend instead of a month.

Claude Code reads the GitHub tutorial.

Walks you through each step.

Runs the commands for you.

Explains anything technical you don't understand.

Tests as you go.

This is the version of "learn by building" that actually works for non-developers.

Why Claude Code Specifically

You could use Cursor.

You could use OpenCode.

You could use OpenClaw itself (yes — using OpenClaw to build OpenClaw).

I'm recommending Claude Code because:

1. Best at code reasoning. Claude Sonnet is the most capable LLM for code work in 2026.

2. Strong at explanation. Claude is genuinely good at teaching as it builds.

3. Cleaner integration with terminals. Claude Code's terminal integration is the smoothest in the category.

4. Free or cheap to start. £20/month for Pro covers this kind of project easily.

For the Claude Code free angle, my Claude code free post covers the install and the free tier specifics — start there if you don't have Claude Code yet.

🔥 Want my full Claude Code + Build Your Own OpenClaw walkthrough? Inside the AI Profit Boardroom I've recorded the entire build with Claude Code as the assistant — every prompt, every fix, every step. Plus the customisations I added afterwards. 2,800+ members already running custom agents. Click below. → Get the Claude Code build walkthrough

Step 0 — Setup Claude Code

Install Claude Code following the official docs.

You'll need:

Anthropic API key (or Claude Pro subscription)
Terminal comfortable
Git installed

If you've never used Claude Code, my Claude code free post walks through the setup.

Step 1 — Hand Claude Code The GitHub URL

Open Claude Code in your terminal.

Tell it:

"I want to build my own OpenClaw following this GitHub tutorial: [URL]. Walk me through the steps one at a time. Explain what each step does before running it. Wait for my approval before each command. Start with step 0."

Claude Code will:

Clone the repo
Read the README and step files
Explain step 0
Wait for your approval
Execute when you say go

This is the interactive teaching loop the tutorial was designed for.

Step 2 — Through Each Phase With Claude

Phase 1 — Single Agent (steps 0-5)

Claude walks you through:

Setting up Python and dependencies
Building the chat loop
Adding the four base tools
Implementing markdown skills
Adding persistent memory
Adding slash commands

Each step takes 5-10 minutes with Claude.

Without Claude, each step would take an hour or more of careful reading.

For the architecture deep dive, my build your own openclaw skills post breaks down what each step actually does.

Step 3 — Ask Claude To Explain Anything

This is where Claude Code shines vs raw tutorials.

Hit a confusing concept?

Ask Claude to explain.

Examples I asked during my build:

"What's the difference between a tool and a skill in this architecture?"
"Why does the dynamic tool factory matter?"
"How does the heartbeat in step 12 actually work?"
"What happens if I add a fifth tool — anything I need to update?"

Claude reads the codebase, explains, gives examples.

That's the learning loop the tutorial was designed for — but it doesn't work without an AI assistant doing the explaining.

Step 4 — Test Each Step

Don't move to step N+1 until step N actually works.

Claude Code will test as you go if you ask:

"Test the chat loop and confirm it's working before moving on"
"Verify the new tool is loaded and callable"
"Check that memory.md is being written after our last exchange"

Each test takes 30 seconds.

Saves you debugging surprises 5 steps later.

I covered the test-as-you-go discipline in my Claude code AI SEO post — same principle, different application.

Step 5 — Customise As You Build

The tutorial gives you a baseline.

Make it yours as you go.

Examples I added during my build:

A custom "personal note" tool that writes to my Obsidian vault
A skill called "blog-draft" that writes blog posts in my voice
A /standup command that pulls yesterday's commits and drafts a standup message
An integration with my existing Telegram bot

Each customisation cost 15-20 minutes with Claude Code's help.

Each one made the agent more useful for my specific work.

That's the build-your-own advantage — your agent is genuinely yours.

🔥 Want my Build Your Own OpenClaw customisation library? Inside the AI Profit Boardroom I've documented every customisation I added — the personal note tool, blog-draft skill, standup command, Telegram integration. Plus the prompts for asking Claude Code to add yours. Click below. → Get the customisation library

Step 6 — Through Phase 2 (Event-Driven)

Steps 6-9 introduce event-driven architecture.

Honestly — this is where the tutorial gets harder.

Async patterns.

Queue management.

Concurrency considerations.

With Claude Code's help, still doable in an afternoon.

Without — could take days of careful study.

Claude can explain async vs sync, when to use each, how to debug timing issues that come up.

For the production agent comparison, my Hermes vs OpenClaw post covers how Hermes implements similar patterns.

Step 7 — Through Phase 3 (Multi-Agent)

Steps 10-14 add:

Heartbeat / autonomous behaviour
Sub-agent spawning
Parallel execution patterns

This is where your custom agent starts to feel like real OpenClaw.

It can run tasks while you sleep.

It can spawn smaller agents to handle parallel work.

It can recover from failures without you intervening.

Claude Code's value here is mostly conceptual — explaining what each pattern means and helping you debug when async work gets confusing.

For the multi-agent orchestration angle, my paperclip Hermes agent post covers how to manage multi-agent setups in production.

Step 8 — Phase 4 (Production)

Steps 15-17 cover production deployment patterns.

Honestly — for most personal projects, you don't need full production hardening.

Run your agent locally.

Maybe deploy to a $5 VPS for always-on access.

The full production patterns are more relevant if you're building this for a team or shipping it as a product.

If that's you, Claude Code can guide you through each pattern just like the earlier steps.

Build Your Own OpenClaw With Claude Code FAQ

Can I do this without Claude Code subscription?

Yes — Claude Code free tier is enough for most of this build. Pro speeds it up.

How long does the full build take?

With Claude Code: focused weekend (10-12 hours total). Without: a week of evenings.

What if Claude Code makes mistakes?

Common — usually small errors. Tell Claude what went wrong, it'll diagnose and fix.

Can I use Claude Sonnet 4.6 vs 4.7?

Both fine. 4.7 is slightly better at long-context reasoning. 4.6 is faster.

What if I get stuck and Claude can't help?

Hand the error to Claude with full context. If still stuck, the GitHub tutorial has a Discord/issues for human help.

Should I commit to git as I go?

Yes — commit after each step. Lets you roll back if something breaks.

Final Take

Build your own OpenClaw with Claude Code is the highest-leverage way to actually understand AI agents.

Reading docs is passive.

Building with Claude Code is active.

Active learning sticks.

Passive reading evaporates.

Spend a weekend in Claude Code with the GitHub tutorial.

You'll come out the other side a different kind of AI user.

🔥 Ready to ship your own OpenClaw with Claude Code this weekend? Get a FREE AI Course + Community + 1,000 AI Agents 👉 join here. Or grab the full Claude Code build walkthrough inside the AI Profit Boardroom.

Learn how I make these videos 👉 aiprofitboardroom.com

Video notes + links to the tools 👉 skool.com/ai-profit-lab-7462

Build your own openclaw with Claude Code is the active-learning shortcut — start tonight.