n8n alternatives in 2026: nine options, matched to why you are leaving

In this guide

1. At a glance and why people leave n8n
2. The shortlist by reason: open source, simpler no-code, Microsoft and enterprise, code-first and agent-first
3. When to stay, a worked cost example and what to move
4. Common mistakes, how to choose and FAQ

Why do people look for an n8n alternative?

Usually for one of four reasons: the licence, the price model, the work of self-hosting, or a need for agents outside a workflow. None makes n8n weak; with about 208,000 GitHub stars (per its pricing page), it is often right for a technical team.

The licence is fair-code, not open source. The self-hosted Community Edition is free under the Sustainable Use License, which allows use "only for your own internal business purposes or for non-commercial or personal use", and n8n's licence page says it does not call itself open source. Its licence FAQ allows building automations for clients on your own instance, but not letting outside users build or configure workflows "via a custom UI, our API, MCP, or an AI agent acting on the user's behalf".

Cloud pricing is per execution. On 20 October 2026, n8n Cloud Starter was US$20 a month billed annually for 2,500 executions and Pro US$50 for 10,000; Business, US$800 a month billed annually for 40,000, was self-hosted only. An execution is one complete run, however many steps: cheap for long workflows, dear for frequent short ones (a five-minute schedule is 8,600 to 8,900 executions a month, by n8n's estimate). There is a trial but no free cloud plan.

Self-hosting is free, not effortless. Updates, backups and uptime become your job (what self-hosting really costs).

n8n's AI agents live inside workflows. Its AI Agent node connects a model to tools and "decides which tools to call", with MCP nodes and human approval for tool calls. An n8n AI agent works well as a step in a flow, not as an agent living on your customers' channels.

How we compared: each vendor's own pages, read on 20 October 2026; no benchmarks. We make Olano, so it is last.

If the licence is the problem: open-source alternatives

1. Activepieces: best for an MIT-licensed builder in n8n's style

Activepieces is "all-in-one AI automation" whose repository calls it "an open source replacement for Zapier". The Community Edition is MIT-licensed; enterprise features carry a commercial licence. It runs in its cloud or on your servers, every integration doubles as an MCP server, and approval steps are built in. Its pricing page listed a Free plan with 1,000 credits a month, Plus at US$20 a month, and an Embed edition from US$36,000 a year for a white-label builder inside your product.

Where it beats n8n: an open-source core, a flat price and a free cloud plan. Where n8n stays stronger: a larger community and more than 10,000 templates. Choose it if you want n8n's way of building under a licence your lawyers already know.

2. Node-RED: best for event-driven flows on your own hardware

Node-RED is "low-code programming for event-driven applications", Apache 2.0-licensed under the OpenJS Foundation (licence). It runs on Node.js from a Raspberry Pi to a cloud server, has more than 5,000 community nodes and flows, and is free; FlowFuse, its sponsor, offers hosting.

Where it beats n8n: a permissive licence, a small footprint and a design aimed at devices, from home automation to industrial control. Where n8n stays stronger: business SaaS, with shared credentials, team roles and an AI Agent node. Choose it if your automations start at sensors, machines or a home server.

If n8n is too technical: simpler no-code tools

Both are hosted, and either can be the Zapier alternative or Make.com alternative you were also looking for.

3. Zapier: best for the quickest start with nothing to host

Zapier runs "Zaps", a trigger plus actions, in its cloud and bills by tasks: each successful action counts; triggers, filters and paths do not. The Free plan gives 100 tasks a month, one user and two-step Zaps. Zapier Agents is an add-on measured in "activities" (400 a month free). Its pricing page would not load for us, so we do not quote paid prices.

Where it beats n8n: nothing to host, and a permanent free plan. Where n8n stays stronger: long workflows (nine actions are nine tasks per run, but one n8n execution), self-hosting, and JavaScript or Python code steps. Choose it if a non-technical team needs simple automations working today.

4. Make: best for visual scenarios without code

Make builds "scenarios" on a visual canvas across 3,000+ apps and bills in credits: most module actions use one (pricing FAQ). The Free plan has 1,000 credits a month; Make's comparison with n8n listed Core from US$9 a month for 10,000 credits. Make AI Agents, on all plans, shows each decision in a Reasoning panel. When credits run out, scenarios stop.

Where it beats n8n: a canvas designed for non-developers, a free plan, and agents on every plan. Where n8n stays stronger: a long scenario costs many credits per run, and Make is hosted only by Make. Choose it if business users will build and own the automations.

If you run on Microsoft 365 or need enterprise integration

5. Microsoft Power Automate: best for Microsoft 365 organisations

Power Automate runs cloud flows, and desktop flows that drive Windows applications, inside Microsoft's Power Platform. A free licence covers cloud flows with standard connectors, and Microsoft's licensing FAQ puts Premium at US$15 per user a month, with premium connectors, attended desktop flows and process mining. Unattended bots take a per-bot Process licence.

Where it beats n8n: identity, admin and data policies from your Microsoft tenant, and desktop flows for old software with no API. Where n8n stays stronger: cost follows runs, not headcount. Choose it if your company already runs on Microsoft 365.

6. Workato: best for enterprise integration with a sales contract

Workato sells editions from Standard to Workato ONE (pricing page), all with 1,200+ connectors, separate test and production environments and single sign-on; higher editions add data pipelines, on-premise connectivity and Agent Studio. It publishes no prices.

Where it beats n8n: governance and support shaped for large IT departments. Where n8n stays stronger: published prices, a free edition and a quicker start. Choose it if integration is a central IT programme with a procurement process.

If you would rather write code: developer-first workflows

7. Windmill: best for workflows written as code

Windmill builds "scripts, workflows, apps, agents and data pipelines" in TypeScript, Python, Go, PHP, Bash, C#, SQL and more (docs), with approval steps that suspend a flow until someone approves. Its core is AGPLv3 with proprietary enterprise features (licence); the free self-hosted tier allows unlimited executions for up to 50 users (pricing). Git sync is an Enterprise feature, and we could not read its cloud prices.

Where it beats n8n: real code in many languages and unmetered self-hosted runs. Where n8n stays stronger: a canvas non-developers can follow. Choose it if your engineers already write the glue as scripts.

If the work needs judgement: agent-first platforms

A workflow runs the path you drew; an agent decides the path. If your flows grow a branch per case, the problem is the shape of the work (AI automation vs AI agents).

8. Gumloop: best for agents you describe instead of draw

Gumloop is "an AI agent platform": agents use your tools and data and run from triggers, schedules, its API (docs) or an @mention in Slack, with 400+ connectors, spend caps and approval of costly actions. Its pricing page marks the old workflow builder as legacy. Pro is US$37 a month with 20,000 credits and a 14-day trial that needs a card; agent runs add an 8% orchestration fee, 16% with your own model key (credits).

Where it beats n8n: no graph to maintain, and unlimited seats. Where n8n stays stronger: deterministic runs at a flat price, self-hosting, and no fee on top of model costs. Choose it if your team works in Slack and wants agents for research and CRM upkeep.

9. Olano: best for agents that work on your customers' channels (our product)

Disclosure: Olano is our product, and it is not a workflow builder: there is no canvas. Olano runs persistent agents that decide their own steps, keep memory and reach people on 15+ messaging channels, including WhatsApp, Telegram, Slack, Email and SMS. Approvals run on trust levels 0-4 with per-category rules, so outbound sends wait for a person. Agents use 450+ connector tools, 75+ built-in integrations and a library of 200+ MCP servers, run on schedules, and take work from inbound webhooks. Plans run from US$25 to US$250 a month, with your own model keys on every plan, or you can self-host.

Where it beats n8n: free-text work on customer channels, an approval boundary on everything that leaves, and nobody on your side running servers on the managed plans (how isolation works). Where n8n stays stronger, and cheaper: deterministic, high-volume flows with no model call per step, a visible canvas, and a free edition; we have no free plan. Choose it if the "workflow" is really an inbox or a WhatsApp line; an n8n workflow can also post to an Olano webhook and get the agent's answer back (Olano vs n8n).

What about Pipedream and Lindy?

• Pipedream is not a place to move workflows to. Its documentation says Workflows takes no new signups and shuts down on 31 March 2027; the company now focuses on tools for developers building agents.
• Lindy replaces assistant work more than workflows: inbox, meetings and follow-ups in Slack and iMessage, from US$49.99 per user a month (pricing). See Olano vs Lindy.

When should you stay on n8n?

Stay if your workflows are deterministic, run at volume and have a technical owner. n8n does that well.

• Self-hosting for your own business is inside the licence, and costs only the server and your time.
• If the bill is the problem, count first. Per-execution pricing favours long workflows, and n8n's Start-up Plan gives qualifying companies under 20 employees 50% off Business.
• If one step needs judgement, keep the workflow and let it call an agent for that step (hosted agents vs DIY automation).

What does the same workflow cost on each meter?

The units differ more than the prices. Take a trigger plus nine actions, run 3,000 times a month, every step succeeding, no AI steps:

This is our arithmetic from each vendor's counting rules on 20 October 2026. Per-step meters punish long workflows, per-execution meters frequent short ones, and per-user licences wide adoption, so count your runs and steps first.

What should you move before you switch?

Move the logic, not the secrets. n8n exports each workflow as JSON: treat it as the specification you rebuild from, not a file another tool will run.

• Credentials. The export names each credential a workflow uses. Rotate every key and reconnect sign-ins rather than copying a plain-text export; in Olano, keys go into a per-agent encrypted vault.
• Webhooks. Repoint every sender, then switch n8n's off so no event runs twice. Olano's inbound webhooks have a Test button and a delivery history.
• Schedules. n8n's Schedule Trigger uses the workflow's time zone, else the instance's (America/New York by default when self-hosted), and its cron may carry a seconds field. Write each schedule down with its zone. Olano's scheduled tasks set a zone per task, at minute resolution.
• Error handling. Rebuild each n8n error workflow alert before go-live; in Olano, an outbound webhook can post agent errors.

Common mistakes when leaving n8n

• Leaving over a misread licence. Internal use and building workflows for clients are allowed; the limit bites when others build on your instance.
• Moving deterministic flows to an agent. It adds a model call per step and variation you did not want.
• Losing time zones in translation, or picking a product that is winding down, as Pipedream Workflows is.

How Olano helps

If what you built in n8n was really an agent, such as an inbox or a triage desk, Olano Cloud runs it as a managed deployment from US$25 a month, with approvals before anything leaves and the rest of the platform included. It does not replace n8n for deterministic plumbing; Olano Studio, our implementation team, can map which steps belong where.