The 7 best n8n alternatives in 2026
Quick answer. The 7 best n8n alternatives in 2026 come down to three cases. If you want n8n's flexibility without running the server, choose Make. If you want the largest app library and the shortest learning curve, choose Zapier. If your real problem is that you do not want to build and maintain the workflow at all, choose an AI agent platform such as AI Agent, Lindy or Gumloop, where you describe the outcome and the agent works out the steps.
Everything below expands on that. Skip to the comparison table if you are in a hurry.
Who I am and why you should discount some of what I say
I am Nim. I build AI Agent, which is one of the seven tools on this list. That is a conflict of interest and you should read the rest of this page with it in mind.
Here is what I think earns me the right to write it anyway. I spend most of my week reading why people abandon automation tools, because that is the market I sell into. I have read every thread in r/n8n about switching for the past year, including the two that ChatGPT itself cites when someone asks this exact question: n8n review after actually using it and Is there an alternative to n8n?. I have also read Zapier's own n8n alternatives post, which is the other source ChatGPT leans on, and which is obviously written by a competitor too.
So: three of the seven entries below are tools I would lose money recommending. I recommend them anyway where they are the better answer, and I have said plainly where AI Agent is the wrong choice. If a comparison page never tells you to buy something else, it is an ad.
One rule I have applied throughout. I have not quoted a single price. Every vendor name links straight to that vendor's own site so you can read today's number from the source. Prices in this category changed several times in the past year, and a stale number in a comparison post does more damage than no number. What I have described instead is the metering unit, which is the thing that actually decides whether a tool gets expensive for you, and which changes far less often.
Why people leave n8n
There are three reasons, and they are different problems with different answers. Working out which one is yours saves you from switching to a tool with the same flaw.
The first is operational load. n8n's self-hosted edition is free to run and that is genuinely excellent, but somebody now owns a server, a database, upgrades, backups and the 2am page when a workflow queue backs up. For a solo founder that somebody is you. The honest version of "free self-hosting" is that you traded a subscription for a second job.
The second is the learning curve. n8n asks you to think in nodes, credentials, webhooks, expression syntax and error branches. That is a fair ask for an engineer and an unfair one for a marketer. The r/n8n threads above are full of people who built one workflow successfully and then could not build the second without help.
The third, and the one I see growing fastest, is that people no longer want a workflow at all. They want the work done. Building a fourteen node graph to triage an inbox is a strange thing to do in 2026 when you could describe the triage rules in a sentence and have an agent apply judgment to each message. A graph encodes every decision in advance. Most real work does not hold still long enough for that.
Reason one points you at hosted graph tools. Reason two points you at simpler graph tools. Reason three points you out of the graph category entirely.
The comparison table
| Tool | Best for | What you are metered on | Self-host | Model | Where it hurts |
|---|---|---|---|---|---|
| n8n | Engineers who want control | Workflow executions on cloud, nothing self-hosted | Yes | Node graph | You operate it |
| Make | n8n power without the server | Operations | No | Node graph | Operation counts climb fast on loops |
| Zapier | Widest app coverage, fastest start | Tasks | No | Linear steps | Per task pricing punishes volume |
| Power Automate | Microsoft 365 shops | Per user or per flow | No | Node graph | Weak outside the Microsoft estate |
| Lindy | Agent-first, sales and support | Credits | No | AI agent | Newer, thinner integration depth |
| Gumloop | Agent-first, data heavy work | Credits | No | Agent plus graph hybrid | Still asks you to build the flow |
| Relay.app | Automation with human approval steps | Credits | No | Agent plus graph hybrid | Smallest integration library here |
| AI Agent | Founders who want work done, not built | Actions, from a monthly pool | No | AI agent | Fewer connectors than Zapier |
A note on that last column, because it is the only column most comparison posts leave out. Every tool here is good at something. The useful question is what each one is bad at, and whether that particular badness lands on you.
1. Make, if you want n8n without running n8n
Make is the closest structural match to n8n. Same visual canvas, same branching, same data transformation, and it is the tool the r/n8n threads recommend most often to people leaving. You keep the mental model you already built.
What is good. The canvas is genuinely better looking and easier to reason about than n8n's for complex branching. You stop being a sysadmin. The integration library is large and mature.
What is not. Make meters on operations, and an operation is roughly every module run. Loops multiply. A workflow that iterates over 500 rows can spend 500 operations in one run, and people regularly get surprised by their first big month. Check the pricing page and then model your worst-case loop, not your average one.
Choose Make if your reason for leaving was operational load and you want to keep building graphs.
2. Zapier, if you want the shortest possible path to working
Zapier has the largest app library in the category by a wide margin and the lowest learning curve of anything here. If your automation is "when this form is submitted, add a row and post to Slack", Zapier will have you finished before you have finished reading n8n's docs.
What is good. Coverage. Whatever obscure tool your accountant uses, Zapier probably connects to it. The template library means many workflows are a two click install. Reliability is boring in the way you want infrastructure to be boring.
What is not. Zapier meters on tasks, where a task is roughly each action your Zap performs. That model is fine at low volume and gets expensive in a hurry as you grow, which is the single most common complaint about it and the reason "zapier alternatives" is a search anyone reading this has probably already run. Complex branching is also weaker here than in Make or n8n by design.
Choose Zapier if your reason for leaving was the learning curve and your workflows are simple and low volume.
3. Microsoft Power Automate, if you live inside Microsoft 365
Power Automate is the obvious answer for exactly one kind of company and a poor answer for everyone else.
What is good. If your work happens in Outlook, Teams, Excel, SharePoint and Dataverse, nothing else here touches it for depth. Approval flows are a first class concept. It is frequently already paid for inside an existing Microsoft agreement, which makes the procurement conversation trivial.
What is not. Outside the Microsoft estate the integrations thin out quickly and the developer experience is heavier than anything else on this list. Licensing is genuinely confusing, split between per user and per flow plans.
Choose Power Automate if you are a Microsoft shop. Otherwise do not.
4. Lindy, if you want an agent rather than a graph
Lindy is one of the strongest examples of the agent-first approach, and it is currently the most visible AI agent brand in this category. When I measured how often each tool in this space gets mentioned in ChatGPT answers, Lindy came back at 293 US mentions against AI Agent's 1 (DataForSEO LLM mentions, US and English, measured 2026-08-05). I am telling you my competitor is winning a race I am in, because it is true and because you should know who is established before you pick.
What is good. You describe what you want in language rather than wiring nodes. It is strong on sales and support work specifically, and the meeting and email surfaces are well built.
What is not. It is a younger product than Zapier or Make, and integration depth reflects that. If your workflow depends on one specific niche tool, check the connector exists before you commit.
Choose Lindy if your reason for leaving was that you do not want to build workflows, and your work is sales or support shaped.
5. Gumloop, if your work is data heavy
Gumloop sits between the two categories. It has agent capabilities but you still assemble a flow, which suits people who want AI judgment inside a structure they control.
What is good. Strong on scraping, enrichment and bulk data operations. The credit model is easier to reason about than per operation metering once you understand it.
What is not. You are still building the flow. If reason three above is your reason, Gumloop only solves half of it.
Choose Gumloop if you want AI steps inside a graph you still own.
6. Relay.app, if you want automation with humans in the loop
Relay.app is worth knowing about specifically because it treats human approval as a first class step rather than a bolt on. Most tools here make you fake that with a wait node and a webhook.
What is good. Human in the loop steps are properly designed. Clean interface. Good fit where a mistake is expensive and you want a person to confirm before the agent sends.
What is not. Smaller than the others on this list by every measure, including how often it appears in AI answers (62 US ChatGPT mentions in the same measurement above). Integration library is narrower.
Choose Relay if approval gates matter more to you than raw connector count.
7. AI Agent, if you want the work done rather than the workflow built
This is mine, so here is the disclosure again: I built it and I want you to use it.
AI Agent is agent-first. You describe the outcome in plain language and get back a Workflow you can schedule or an Autopilot that runs continuously and reports what it did. There is no canvas to assemble. Today it exposes 40 connections carrying 6,157 individual tool actions, so an agent that needs to read a CRM, check a payment, draft an email and post an update can do all four inside one run.
Two things about it that are not obvious from the homepage and that matter if you are coming off n8n. Execution is durable per step, which means a long running job survives a process restart instead of dying halfway and leaving you to work out what already happened. And it meters on actions drawn from a monthly pool rather than on tasks or operations, so a run that loops over 500 rows does not cost 500 times a run that loops over one.
What is not good, and you should weigh this honestly. Zapier connects to far more apps than we do, and if your stack contains something obscure, check our connector list before you switch. We are also much newer than the established names here, with 1 ChatGPT mention against Lindy's 293, which tells you something real about how many people have used us and written about it. If you want the safest possible choice by adoption, that is not us yet.
Choose AI Agent if your reason for leaving n8n was reason three, you are a founder or small team, and you would rather describe work than diagram it.
How to choose in about 60 seconds
Work out which sentence describes you and stop reading.
I am an engineer, I like n8n, I just do not want to run the server. Go to Make.
I want the widest app coverage and my workflows are simple. Go to Zapier.
Everything I do happens in Outlook, Teams and SharePoint. Go to Power Automate.
I want AI to do sales or support work without me building it. Go to Lindy.
I want AI steps inside a flow I still control, and my work is data heavy. Go to Gumloop.
A human must approve before anything is sent. Go to Relay.
I am a founder, I want the work done, and I do not want to become the automation person. Go to AI Agent.
If two of those describe you, pick the one matching the problem that made you search today. The other one will still be there in three months.
Frequently asked questions
Is n8n actually open source? Not in the OSI sense. n8n is fair-code, published under the Sustainable Use License, which permits internal business use and modification but restricts commercial redistribution. It is more permissive than most commercial software and less permissive than MIT or Apache. If your reason for choosing it was "it is open source", read the licence before you build on that assumption.
What is the cheapest n8n alternative? Self-hosted n8n is the cheapest option in licence terms, which is why people are usually leaving it for reasons other than price. Among hosted tools, the cheapest depends entirely on your volume shape, because they meter on different units. A high loop, low workflow user pays least on a flat action model. A low volume, many workflow user pays least on a task model. Model your actual worst-case month against two or three pricing pages before deciding.
Can I migrate my n8n workflows automatically? No tool here imports n8n workflows directly. Graph based tools such as Make will feel familiar enough to rebuild quickly. Agent based tools do not have an equivalent object to import into, because you describe the goal rather than the steps. In practice rebuilding is faster than it sounds, because most people migrate two or three workflows that matter and quietly abandon the rest.
Is an AI agent more reliable than a workflow? They fail differently. A graph does the same thing every time, which is a strength when the input is predictable and a weakness when it is messy. An agent handles messy input and can surprise you. For anything irreversible, use a tool with real approval steps, whichever category it comes from.
Do I have to choose only one? No, and many people do not. A common shape is a graph tool for the deterministic plumbing and an agent for the judgment heavy work, connected at the edges. That costs two subscriptions and is often still cheaper than forcing one tool to do both badly.
How AI Agent helps
If you got here because you are tired of maintaining graphs, that is the specific problem AI Agent exists to remove. You describe the work you want done, in the same words you would use to brief a new hire, and you get a Workflow you can run on a schedule or an Autopilot that runs continuously and tells you what it did. Across 40 connections and 6,157 tool actions, an agent can read your CRM, check a payment, draft the follow up and post the summary inside a single durable run.
There is a free tier, so you can point it at one workflow you are currently maintaining by hand and see whether describing it beats building it. If it does not, one of the other six tools on this list probably fits you better, and I would rather you found that out in an afternoon than after a month.
Frequently asked questions
Which n8n alternative costs the least?
Hosted alternatives charge according to different units, such as tasks, operations, credits, actions, users, or flows, so the cheapest choice depends on how your work runs. Self-hosted n8n avoids a software subscription but leaves server, database, backup, and upgrade work with you. AI Agent starts at $49 on the Start tier, and Pro is $149.
How hard is it to move from n8n?
Moving from n8n usually means rebuilding the workflows that matter rather than importing them directly. Make offers the closest graph based mental model, while agent tools ask you to describe the outcome and rules. Review credentials, triggers, error handling, and approval points during the rebuild.
What can break when switching from n8n?
The connector is the first thing to check when a workflow depends on a niche app or a deep feature in a familiar app. Metering can also change the result, especially when loops cause repeated module, task, or action runs. Microsoft heavy teams should check whether work outside Outlook, Teams, Excel, SharePoint, and Dataverse is covered well enough.
Are AI agent platforms safe for important work?
Workflow graphs are predictable when inputs and conditions are predictable, while agents handle messy requests with more room for surprise. Keep a person in the approval path before an irreversible message, payment, or record change. Relay is designed around approval steps, and other tools can support review through their workflow controls.
Can an n8n alternative replace n8n completely?
Yes, if your main need is hosted automation, simpler setup, or agent handled work, though the best fit depends on the work you run. Make and Zapier replace much of the graph workflow role, Power Automate fits Microsoft centered work, and Lindy, Gumloop, Relay, and AI Agent cover agent based cases with different levels of structure. A hybrid setup can keep deterministic plumbing in a graph tool and judgment heavy work in an agent.