OpenClaw and n8n are both open-source, self-hostable, and AI-capable. But they solve fundamentally different problems. Here's the honest comparison — and the hybrid setup where they work together.

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TL;DR

n8n is a workflow automation engine built for structured, repeatable processes that run at scale. OpenClaw is a personal AI agent runtime built for open-ended, conversational tasks that adapt to context. They are not competitors — they are complementary layers. Use n8n when you can describe the process as a series of steps. Use OpenClaw when you need an agent to figure out the steps. Use both together for the strongest stack.

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What is n8n?

n8n is an open-source workflow automation platform. You connect apps, APIs, and services using a visual node-based editor. A trigger starts the workflow — a webhook, a schedule, a new database row — and subsequent nodes transform, route, or act on data.

What n8n is built for:

• Running the same process thousands of times concurrently. In queue mode, each worker handles up to 10 parallel executions via Redis. You scale horizontally by adding workers.
• Public-facing webhooks. Stripe payments, form submissions, Salesforce events — n8n handles incoming traffic with HMAC auth and production-grade reliability.
• 400+ native integrations. Slack, Gmail, HubSpot, PostgreSQL, Shopify, GitHub, and hundreds more.
• AI-augmented workflows via AI Agent nodes that call GPT-4, Claude, or Gemini as a reasoning step inside a structured pipeline.
• Audit trails. Every node's input and output is logged. Failed executions can be retried without re-running the whole pipeline.

n8n licensing: Community Edition is free under a fair-code license. Cloud plans start around $20/month. Self-hosting costs your VPS fee ($5–10/month) plus your time.

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What is OpenClaw?

OpenClaw is an open-source personal AI assistant you self-host. You install it, connect your messaging accounts (Telegram, Discord, WhatsApp, Signal), and it becomes your AI agent — with persistent memory, tool access, and the ability to reason about open-ended tasks.

What OpenClaw is built for:

• Open-ended tasks where the steps aren't known in advance. "Research these competitors," "fix this thing on my server," "send me a morning briefing."
• Conversational interaction. You talk to your agent in Telegram or Discord. It responds, asks questions, and adapts.
• Persistent memory across sessions. The agent remembers your preferences, past decisions, and recurring patterns.
• Tool use. OpenClaw connects to file systems, browsers, APIs, databases, and code execution environments.
• Skills. Reusable procedures the agent learns and applies. You define a skill once; the agent follows it every time.

OpenClaw licensing: Free and open-source. You bring your own LLM API keys (OpenAI, Anthropic, etc.) or run a local model. The real cost is LLM usage — typically $20–50/month for a heavily-used agent.

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The core difference

This is the frame that most comparison articles get wrong:

Dimension	n8n	OpenClaw
Mental model	Assembly line — same process, many times	Personal assistant — one task, done thoroughly
Who it serves	Teams, businesses, multiple users	One person (you)
Task structure	Defined upfront (nodes/steps)	Open-ended (agent decides steps)
Scale	High volume, concurrent	Single-user sessions
Internet-facing	Yes — production webhooks, HMAC auth	No — localhost by design
Memory	Per-execution logs	Persistent cross-session memory
Editor	Visual drag-and-drop	Config-based + natural language
AI role	One step inside a workflow	The core capability

The defining question for n8n: "Can I describe this as a series of steps that will happen the same way every time?"

The defining question for OpenClaw: "Do I know exactly what this task requires, or do I need the agent to figure it out?"

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Feature comparison

Feature	n8n	OpenClaw
Primary use case	Business workflow automation	Personal AI assistant
Concurrent executions	Up to 10/worker (scales horizontally)	Single user session
Public webhooks	✅ Production-grade	❌ Localhost only
Multi-tenant	✅ With custom isolation	❌ Single user
Execution audit logs	✅ Every node I/O	Session-based
App integrations	400+ official + community nodes	Messaging platforms + custom tools
AI reasoning	Via AI Agent node	✅ Native core capability
Persistent memory	Database per workflow	✅ Cross-session
Messaging platforms	Via nodes (Slack, Telegram)	WhatsApp, Telegram, Discord, Signal natively
Visual editor	✅ Node-based drag & drop	❌ Config + chat
Self-host cost	Free (your VPS)	Free (your VPS + LLM keys)
Skill level needed	Low (visual) to medium (queue mode)	Medium (CLI setup, LLM keys)
Scheduling	✅ Built-in cron nodes	✅ Built-in scheduler
Sub-agents	❌	✅ Spawn child sessions
Code execution	Via Code node (JS/Python)	✅ Native shell + code
Browser automation	Via Puppeteer node	✅ Built-in browser control
Skills/plugins	Community nodes	Skills system + plugin marketplace

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Pricing comparison (2026)

n8n pricing

Plan	Price	Executions	Active workflows	Key limits
Community (self-hosted)	Free	Unlimited	Unlimited	You manage infra
Cloud Starter	~$20/mo	2,500/mo	5	14-day trial, no credit card
Cloud Pro	~$50/mo	10,000/mo	25	Priority support
Cloud Enterprise	Custom	Custom	Custom	SSO, RBAC, log streaming

Hidden costs of self-hosting n8n: VPS ($5–10/mo), your time for updates/SSL/backups, Redis for queue mode, PostgreSQL for execution history at scale.

OpenClaw pricing

Component	Cost	Notes
OpenClaw software	Free	Open-source
VPS (if not local)	$5–10/mo	Any VPS works
LLM API keys	$20–50+/mo	Depends on usage volume
Managed hosting (optional)	$10–30/mo	Services like GolemWorkers handle infra

Hidden costs of OpenClaw: LLM API fees scale with usage. A heavily-used agent sending many tool calls per day can rack up $30–60/month in API costs. Using a cheaper model (GPT-4o-mini, Claude Haiku) drops this to $5–15/month.

Where GolemWorkers fits

GolemWorkers sits on top of OpenClaw: it provides managed hosting, pre-tuned agent roles, and a device-code flow that lets you use your existing OpenAI Pro/Ultra subscription instead of paying per-API-call. Flat platform fee, no per-seat pricing.

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When to choose n8n

Reach for n8n when the work is a defined process that your business depends on:

• Event-driven automation. New lead in CRM → send to Slack → create task in Asana → send welcome email. Runs hundreds of times a day, must be reliable, needs audit trail.
• Public-facing webhooks. Stripe payment confirmed → provision account → send receipt. These trigger from the open internet and must be production-hardened.
• Multi-user or multi-customer. If the automation serves a team, department, or many customers — not just you personally.
• Reliability at 3am. n8n's execution logs show exactly which node failed and why. Retry failed executions without re-triggering the whole pipeline.
• Connecting SaaS tools. Salesforce, HubSpot, Google Sheets, Slack, Notion — n8n has official nodes with auth handled.

When n8n is the wrong tool: Don't try to make n8n your personal AI brain. n8n's AI nodes run inside a structured workflow — excellent for "call LLM, get structured output, route it" but not for open-ended autonomous task execution.

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When to choose OpenClaw

Reach for OpenClaw when the work is open-ended and personal:

• AI assistant in your messaging apps. OpenClaw integrates natively with Telegram, Discord, WhatsApp, and Signal. Your agent lives where you already communicate.
• Fuzzy tasks. "Write me a summary of what happened with this project this week." "Go check if this server is still responding." "Help me draft a response to this email." These require reasoning, not a fixed sequence.
• Persistent memory. OpenClaw builds context about you across sessions — preferences, past conversations, recurring tasks. n8n doesn't have this.
• You're the only user. OpenClaw is designed for one person on a private machine.

When OpenClaw is the wrong tool: Don't try to make OpenClaw handle public webhooks or multi-tenant automation. It's not built for concurrent request handling at scale.

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The hybrid pattern: n8n + OpenClaw together

This is the most powerful setup we see in production. You don't pick one — you use both:

1. n8n owns the plumbing. An event triggers a workflow — a new support ticket, a form submission, a scheduled task. n8n gathers context from your database, CRM, or other tools using its integration nodes.
2. OpenClaw does the reasoning. n8n calls OpenClaw via an HTTP Request node on your private network — passing gathered context as a JSON payload. OpenClaw applies AI reasoning: drafts a response, categorizes the request, extracts insights, or decides the appropriate action.
3. n8n routes the result. OpenClaw's response returns to n8n, which sends it to the right destination — a Slack message, a database write, an email, another webhook.

n8n handles scale and reliability: concurrent triggers, 400+ integrations, audit logs, retries. OpenClaw handles intelligence: the one step in the pipeline where you need open-ended reasoning instead of a deterministic rule.

Critical constraint: n8n must call OpenClaw over your private network, not via a public URL. OpenClaw should stay on localhost or an internal VPC. Both services need to run on the same server or be accessible via private networking.

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Hosting comparison

Hosting n8n for production

• Self-hosted VPS: Install n8n on Hetzner, DigitalOcean, or Vultr. $5–10/month plus your time for SSL, updates, and monitoring.
• n8n Cloud: Fully managed by n8n. Starts ~$20/month with execution limits.
• Managed hosting: Services like OpenHosst offer managed n8n from ~$3/month with unlimited executions.

Hosting OpenClaw

• Local machine: The most common setup. Free, completely private, accessible only by you.
• Private VPS: Run OpenClaw on a VPS accessed via SSH tunnel or VPN. Never expose the port publicly.
• GolemWorkers: Managed OpenClaw hosting with pre-tuned agent roles, flat pricing, and a device-code flow for your existing OpenAI subscription.

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Migration: from n8n to OpenClaw (or vice versa)

You probably don't need to migrate. These tools solve different problems. The more common pattern is adding one to your existing stack:

• Already on n8n? Add OpenClaw as the reasoning layer for tasks that can't be expressed as a fixed workflow.
• Already on OpenClaw? Add n8n when you need to automate a repeatable process at scale, or when you need public webhooks.

If you're starting fresh:

1. Start with OpenClaw for personal productivity and open-ended tasks.
2. Add n8n when you have a process that runs more than 5 times a day and you can describe the steps.
3. Connect them via HTTP on your private network for the hybrid pattern.

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FAQ

Can OpenClaw replace n8n?

No. OpenClaw is not designed for high-volume, concurrent, multi-tenant workflow execution. If your use case is "when X happens, do Y, Z, and W reliably 1,000 times a day" — that's n8n's job.

Can n8n replace OpenClaw?

No. n8n's AI Agent nodes run inside a structured workflow. They're excellent for "call LLM, get structured output, route it" but not for open-ended autonomous tasks where the agent needs to figure out the steps. If your use case is "research these competitors and tell me what to do" — that's OpenClaw's job.

Is OpenClaw safe to expose to the internet?

No. OpenClaw's documentation explicitly says to bind it to localhost. Multiple security researchers have documented vulnerabilities in publicly-exposed instances. If you need internet-facing automation, use n8n for the public endpoint and call OpenClaw over private networking.

Which is cheaper: n8n or OpenClaw?

Both are free to self-host. n8n's ongoing costs are VPS + your time. OpenClaw's ongoing costs are VPS + LLM API fees ($20–50/month typically). At scale, n8n is cheaper because it doesn't require LLM calls for every execution. For personal use, OpenClaw is cheaper because you don't need Redis, PostgreSQL, or queue-mode infrastructure.

Can I use OpenClaw with GolemWorkers?

Yes. GolemWorkers provides managed OpenClaw hosting with pre-tuned agent roles, flat platform pricing, and a device-code flow that lets you use your existing OpenAI subscription instead of paying per-API-call.

Does n8n have an AI agent?

Yes. n8n includes AI Agent nodes that call LLMs (GPT-4, Claude, Gemini) as a reasoning step inside a workflow. But this is fundamentally different from OpenClaw's always-on, conversational agent with persistent memory. n8n's AI is a step; OpenClaw's AI is the whole thing.

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Related articles

• OpenClaw vs Claude Code: When to Use Each
• What Is AI Workflow Automation: The 4-Stage Pipeline
• Multi-Agent Orchestration: 4 Open-Source Tools Compared
• AI Agent Platform: What It Is and Why You Need One
• Skills vs Plugins in OpenClaw: When to Use Each