The n8n-claw Guide

The analogy that makes it click

There are two ways to automate work.

A workflow is a train on rails. Same route every time, easy to check, completely predictable. But if something unexpected is on the track, it stops.

An agent is a driver on open roads. It adapts, finds a way round, handles surprises. But you can't always predict the route it'll take.

n8n-claw puts an agent on the rails. The assistant thinks like an agent, but everything it does runs as n8n workflows you can open, inspect and change.

A community member summed up the trade (14 votes):

"n8n is more deterministic. OpenClaw is a free-for-all. If you need granular control of your agents and workflows, n8n is probably the better choice."

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At a glance

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What it does

From the project's own feature list:

Two of those are especially good design: silent background checks (the "silent on success" habit this library keeps recommending) and asking you for the 2FA code rather than trying to get around it.

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⚠️ Licensing: read this if you'll use it for clients

Two separate licences are involved, and both matter commercially.

1 · n8n-claw has no licence file

We checked the repository directly. There's no licence, and none is mentioned in the README. Under standard copyright, no licence means all rights are reserved by the author. Personal experimentation is one thing. Building a paid service on it without the author's permission is another.

If you'd use it commercially, ask the author first. It's a friendly community project, so that's likely a short conversation.

2 · n8n itself is "fair-code", not standard open source

n8n's own licence, the Sustainable Use License, says:

"You may use or modify the software only for your own internal business purposes or for non-commercial or personal use. You may distribute the software or provide it to others only if you do so free of charge for non-commercial purposes."

What that means for an agency: running n8n for your own agency's work is clearly allowed. Providing n8n to clients as a paid service is restricted. If your plan involves clients, read the full licence and n8n's own guidance before you build.

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Before you start

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Full installation, step by step

Step 1 · Clone and run the setup script

git clone https://github.com/freddy-schuetz/n8n-claw.git && cd n8n-claw && ./setup.sh

Step 2 · Answer the setup questions

The script asks for:

• your n8n API key, which you generate in the n8n screen that opens during setup, under Settings → API
• your Telegram bot token and chat ID
• your AI provider and key
• your domain name, which also sets up HTTPS automatically
• your assistant's personality: name, language, style

It then installs Docker, the database, credentials and workflows, and switches everything on.

Step 3 · Two optional extras

• Embeddings, for searching memory by meaning rather than keywords
• Voice messages, which need an OpenAI key for transcription

Skip both and it still works.

Step 4 · Say hello

Message your Telegram bot. That's it.

Prefer running it on your own computer?

The project includes a local setup guide using Docker and ngrok.

Connecting other apps

It has a web API, so Slack, Teams or your own software can talk to it:

curl -X POST https://YOUR-DOMAIN/webhook/agent \
  -H "Content-Type: application/json" \
  -H "X-API-Key: YOUR_WEBHOOK_SECRET" \
  -d '{"message": "Hello!", "user_id": "test-user"}'

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Your first hour: three scenarios

Scenario A · A morning briefing

Every weekday at 8am, send me a briefing: my tasks due today, anything
overdue, and [two news sources]. Keep it under 150 words.

Scenario B · A silent monitor

Every hour, check [a web page or inbox] for anything new about [subject].
Only message me if you find something new. Otherwise stay silent.

Scenario C · A reminder with a task

Remind me Friday at 3pm to submit the client report, and add it to my
tasks as high priority.

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The best pattern: n8n as the guard rail

You don't have to choose between workflows and agents. The most useful idea in the community research combines them (6 votes):

"I use n8n to create tools that I expose to OpenClaw. I decide what tools it has access to through that layer. This way I know OpenClaw has no sensitive information, and I can also clean up content when handing it back."

How it works: the agent never touches your email, CRM or files directly. It can only call the specific n8n workflows you've built for it. Each workflow does one controlled thing, and you can see exactly what it did.

This works with any agent in this library, not just n8n-claw. For agencies it's one of the cleanest ways to let an agent near client systems.

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What it costs

From a 30-day side-by-side test of the same assistant built four ways (21 votes; the author builds a competing product and says so up front):

That last point is the trade-off in one sentence. Workflows are cheap and predictable, and they break when the world changes. Agents adapt, and cost more.

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Limits worth knowing

• A 5-minute limit on certain tool-triggered runs, per the project's own documentation.
• Browser sessions are lost on restart. Logged-in sessions live in memory.
• Small project. 560 stars and one main author. Actively updated, but a smaller safety net than the big projects.
• Server security is your job. The README recommends key-based SSH, no root password, and fail2ban.

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Mistakes to avoid

❌ Mistake 1: building a paid client service without checking the licences

Both of them. See above.

❌ Mistake 2: choosing it if you don't already know n8n

Its advantage is being editable in n8n. If you've never used n8n, that advantage is a learning curve, and Hermes is simpler.

❌ Mistake 3: letting the agent reach systems directly

Use the guard rail pattern.

❌ Mistake 4: an unsecured server

Follow the project's SSH advice before connecting anything real.

❌ Mistake 5: expecting workflows to handle surprises

They don't. That's what the agent layer is for.

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Best practices

✅ Check both licences before any commercial use

✅ n8n as the guard rail between agents and real systems

✅ Silent background checks, loud only on change

✅ Key-based SSH and fail2ban on the server

✅ Ask it "did anything fail today?" as a daily habit

✅ Keep the workflows it builds, they're your audit trail

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How it compares

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If you run a marketing or SEO agency

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Verdict

🟡 Watch it, unless you already live in n8n

Based on the project's README, the n8n licence text, and community reports. We have not run it in production on client work.

If you already build in n8n, this is a thoughtful project with good instincts: silent checks, plain-language failure reports, and asking you for 2FA codes rather than working around them.

If you don't, it's a small, single-author project with no licence file, sitting on a platform whose licence restricts commercial resale. The easier assistants in this library will serve you better.

The idea worth taking regardless: use n8n as the guard rail between any agent and your real systems.

This week: if you use n8n, build one workflow that exposes a single safe action, like "look up a client's open tasks", and connect an agent to that instead of to the system itself.

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Sources

Primary, checked 21 September 2026

• freddy-schuetz/n8n-claw README, features, architecture, install and limits
• Repository contents checked directly for a licence file (none present)
• n8n licence (Sustainable Use License), quoted directly
• Star counts: GitHub REST API

Community reports, quoted with upvotes. Anecdotes, not measurements.

• n8n-claw: OpenClaw in n8n (147 votes), the author's launch post
• OpenClaw vs Claude Cowork vs n8n (85 votes)
• How does n8n differ from OpenClaw in real-world use? (27 votes)
• Same agent, four platforms, 30 days (21 votes), written by a competing vendor, disclosed

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Part of The Agent Guides by Massive Impact. Illustrations generated in-house. No third-party screenshots or marks reproduced.