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The n8n vs OpenClaw choice comes down to one question: do you know the steps in advance? n8n is a visual workflow platform where you design every step on a canvas and it runs the same way every time; OpenClaw is an open-source AI agent that lives in your chat apps and works out the steps itself. Plenty of serious setups end up running both.
Quick disclosure before the detail: we run Agent 37, a managed OpenClaw hosting service from $3.99/mo, so we have a side here. It also means we operate OpenClaw in production every day. The comparison below sticks to what each tool verifiably does, with every number checked against both projects' own pages in August 2026.
What n8n actually is in 2026
n8n calls itself the world's most popular workflow automation platform for technical teams, and the pitch is fair. You build on a node-based canvas: a trigger starts the workflow, and data flows through nodes that transform it, call APIs, branch on conditions, and write results wherever they need to go. The integrations directory lists about 2,000 apps as of August 2026. The company raised a $180M Series C in October 2025 at a $2.5B valuation, so the platform is not going anywhere.
AI is now first-class in n8n rather than a bolt-on. The AI Agent node, built on LangChain's JavaScript framework, drops an agent step into an otherwise deterministic flow: attach a chat model from OpenAI, Anthropic, or a local Ollama instance, wire up memory and tools, and let that one step handle the part that needs judgment. n8n keeps building on this: MCP support arrived in April 2025, human-in-the-loop approval lets an AI tool call wait for a person before it runs, and standalone agents you can chat with outside any workflow shipped in preview in August 2026. The n8n 2.0 release in December 2025 hardened the platform for production work, with isolated task runners on by default and a Save-versus-Publish split so editing a workflow no longer silently changes the live version.
Here is the essential thing about n8n: it is a system you design. Every box on the canvas is a decision you made in advance. That is exactly why teams trust it. When something breaks, you can see which node failed, with what data, and replay the execution.
What OpenClaw actually is in 2026
OpenClaw earned its popularity as one open-source gateway that connects WhatsApp, Telegram, Discord, Slack, and iMessage to a serious AI agent. There is no canvas. You send the agent a message, and it decides what to do: read files, call APIs, search the web, run commands, and report back in the same chat thread. It is MIT-licensed, sitting at roughly 386,000 GitHub stars as of August 2026, and it extends through skills: markdown instruction files you install from the ClawHub registry or write yourself in a few minutes.
The automation overlap with n8n is bigger than most people assume. OpenClaw ships a built-in scheduler with five schedule kinds, from one-shot reminders to full cron expressions, and any scheduled job can deliver its output to a chat channel or a webhook. Heartbeats give the agent a periodic turn, every 30 minutes by default, so it can proactively surface things that need attention instead of waiting to be asked. Multi-agent routing binds each chat account to its own isolated agent with separate files, sessions, and history. That is a real automation platform. The difference is that the workflow is a prompt plus judgment instead of a node graph.
The honest downsides, which we have written about before: it is a hefty Node stack that wants a capable always-on machine, it ships fast with updates to babysit, and it concentrates a lot of power in one process: your chat history, your API keys, and every permission you granted it.
n8n vs OpenClaw at a glance
ã…¤ | n8n | OpenClaw |
What it is | Visual workflow automation platform | Self-hosted AI agent gateway |
You interact via | A browser canvas | WhatsApp, Telegram, Discord, Slack, iMessage |
AI's role | One node inside your workflow | The entire runtime |
Determinism | Same input, same path, every time | The agent decides the steps |
License | Fair-code (Sustainable Use License) | MIT, true open source |
Software cost | Free self-hosted Community edition; Cloud from about €20/mo billed annually | Free |
What you actually pay | Cloud executions, or your own server | Model API usage plus an always-on host |
Integrations | About 2,000 in the directory | Shell, browser, and skills, plus 1,000+ apps through Composio |
Best at | Known, repeatable, high-volume processes | Open-ended judgment work in chat |
The license difference that actually bites
n8n is fair-code, not open source in the OSI sense. Its Sustainable Use License allows free self-hosting "only for your own internal business purposes or for non-commercial or personal use." What it forbids is selling n8n itself. You cannot offer hosted n8n to clients as a paid service or white-label it as your product without a separate commercial agreement with n8n; its Embed license is the productized route.
OpenClaw is MIT. Run it for yourself, run it for clients, resell it managed, embed it in a product. All of that is allowed.
If you are an agency planning to charge for automation, this quietly decides the question. With n8n, you deliver services built on your internal instance. With OpenClaw, you can deliver the agent itself under your own brand. That model is exactly what Agent 37 Cloud productizes: white-label OpenClaw and Hermes instances behind one API from $1.99/mo, where your customers never see us.
What each really costs per month
n8n Cloud starts at €20/mo billed annually for 2,500 workflow executions, and the Pro tier is €50/mo for 10,000. The metering is genuinely friendly: an execution counts once no matter how many steps run, and users are unlimited on every tier. Self-hosting the Community edition is free with almost the full feature set, minus enterprise items like SSO, environments, and Git-backed version control. In exchange, the server, the updates, and the database become your problem.
OpenClaw itself is free. The real cost of running it is the same equation we give in our full cost breakdown: what you pay the model provider for API usage, plus somewhere always-on to run it. The always-on part is not optional once you want automation. OpenClaw's own FAQ is blunt that cron runs inside the Gateway process and does not fire if the Gateway is not running continuously. A morning briefing job needs an agent that is awake in the morning.
For the host, you have three real options. A VPS you manage yourself, and OpenClaw's FAQ says a small VPS with 4 GB of RAM is plenty. A spare machine at home, which works until it sleeps, reboots, or your ISP hiccups. Or managed hosting: Agent 37 runs OpenClaw instances in isolated containers with a task board, a full web terminal, scheduled jobs, and automatic runtime updates, on plans at $3.99, $9.99, $29.99, and $99.99 a month. There is no free tier, and support on the cheap tiers is community plus an AI bot, which is part of how the price stays low.
Where n8n wins
The steps are known. Invoice arrives, parse it, match it to a purchase order, post it to the ledger, notify accounting. If you can draw the flowchart, n8n executes it identically ten thousand times, and an agent adds nothing but variance.
Volume is high. At thousands of runs a month, n8n's fixed pricing beats paying model tokens per run by a wide margin. LLM calls only happen where you explicitly placed an AI node.
Someone else has to trust it. A canvas a client can inspect, execution logs you can replay, and human approval gates before sensitive AI actions. Automation practitioners are right about this: client-facing pipelines that move money or data need to be auditable, and deterministic flows audit well.
Where OpenClaw wins
The steps are not known. Triage this inbox, watch these feeds and brief me at 8 a.m., research this vendor and draft the email, plan my week around these constraints. There is no flowchart because the flowchart changes daily. Our OpenClaw use-cases roundup is full of workflows like these that hold up in production.
You want it where you already are. OpenClaw meets you in WhatsApp, Telegram, Slack, Discord, or iMessage. No dashboard to open. You forward a message and say "handle this."
You want proactive, not just triggered. Heartbeats let the agent check on things every half hour and speak up only when something needs you. There is no n8n node for noticing.
Running both: how the two actually pair
Tellingly, one of the liveliest OpenClaw discussions on n8n's own community forum is a builder recreating OpenClaw-style behavior inside n8n, because he wanted agent capabilities with n8n's inspectability. You do not have to choose. The cleaner answer is wiring them together, and it works in both directions:
n8n owns the pipeline, OpenClaw supplies judgment. Keep the deterministic spine in n8n. At the one step that needs reasoning, hand off to your agent, and have OpenClaw deliver the result to an n8n Webhook trigger to resume the flow. OpenClaw's scheduler can already deliver any job's output straight to a webhook, so this is configuration, not custom code.
OpenClaw is the interface, n8n is the hands. Give the agent a skill that POSTs to an n8n Webhook URL. Now "run the client onboarding flow for ACME" in Telegram fires a tested, deterministic n8n workflow, and the agent reports back when it finishes. The agent gets things done with tools that cannot go off-script.
Guardrails still matter in either direction: give the agent its own accounts and API keys rather than your root credentials, cap its model spend, and keep one instance per client if you run agents for other people.
Straight answers
Is OpenClaw an alternative to n8n? Not really. They sit at different layers, and if both look like candidates for the same job, look again at whether the steps are known. Our OpenClaw alternatives roundup deliberately leaves workflow tools out for the same reason.
Which is cheaper? For high-volume deterministic automation, self-hosted n8n wins: free software and a fixed server bill. For a personal agent handling a few dozen judgment calls a day, OpenClaw plus a modest model bill typically costs less than building and maintaining the equivalent web of workflows. Token costs scale with usage either way; here is what OpenClaw actually costs in practice.
Is n8n open source? It is fair-code under the Sustainable Use License: source-available and free to self-host for internal use, but not resellable as a service. OpenClaw is MIT open source with no such restriction.
Can they share a server? Both ship official Docker images, and for light personal use one box can run both. OpenClaw's sizing guidance is that 4 GB of RAM is plenty; n8n publishes no official minimum. Give each its own container and separate credentials.
The bottom line
Most people asking this question already have workflows somewhere and are really asking whether the agent thing is worth adopting. It is, for a narrower set of jobs than the hype suggests: the open-ended, judgment-heavy work that never fit a canvas in the first place. Keep n8n for the pipelines it already runs well.
So run the cheap experiment before any big decision. OpenClaw installs in an afternoon. If the agent is not the problem but the operations are, the always-on host, the updates, the 2 a.m. recovery, spin up a managed OpenClaw instance on Agent 37: always-on, from $3.99/mo, deployed in one click.
Written by
Founder at Agent37, which runs managed hosting for OpenClaw and Hermes agents for 1,000+ users. Writes about what actually breaks when you leave an AI agent running.