The Best n8n Alternatives in 2026

Why teams look for an n8n alternative

n8n is one of the most capable workflow tools around, with more than 200,000 GitHub stars and an integrations directory that lists over 2,000 integrations. So it's worth being precise about what's pushing you away. Most switches come down to one of four things:

• The license. n8n is "fair-code" under its Sustainable Use License, with some features under a separate enterprise license. You can self-host it free for your own internal business use, but it isn't OSI open source, and you can't resell it or offer it to customers as a hosted service.
• Cloud cost at volume. n8n Cloud bills by workflow execution, "regardless of complexity." That's generous for long workflows and adds up when you run many short ones.
• The learning curve. The node editor and its JavaScript and Python escape hatches are powerful, but non-developers often find them intimidating.
• AI that lives inside a node. n8n's AI Agent nodes are strong, but the agent still runs inside a workflow you design and maintain. Some teams want the AI to own the job instead.

The best n8n alternatives in 2026

1. Activepieces: the closest open-source n8n alternative

Best for: teams that want n8n's self-hosted, visual model with a simpler editor · License: MIT core + commercial enterprise edition · Hosting: self-host or cloud

Activepieces is what most people mean when they ask for "n8n, but open source." The core is MIT-licensed (the enterprise features in its ee folders are commercial), it self-hosts with Docker or Kubernetes, and its editor is friendlier to non-developers. Its directory lists 750+ open-source integrations ("pieces") with more than 5,700 actions. That's a smaller catalog than n8n's, so check your must-have apps first.

The cloud product markets itself as "AI agents with enterprise control." Every plan includes unlimited flows, and a run costs one credit however many steps it has (AI steps cost more), which is close in spirit to n8n's per-execution billing.

Watch out for: older reviews describe per-active-flow pricing. Current plans bill in credits instead.

2. AutoGPT: bring your n8n workflows, and let AI Experts do the work

Best for: teams that want AI to do recurring work end to end, with a workflow builder when they need one · License: platform PolyForm Shield (source-available), classic agent MIT · Hosting: self-host free or cloud

AutoGPT is our product. It starts from AI Experts rather than workflows, but it doesn't make you start over: import an exported n8n workflow, or an n8n.io template link, and Otto, your Head of AI, rebuilds it as an AutoGPT agent that you can run as it is, change in the visual builder or hand to an Expert.

Instead of designing every workflow yourself, you work with AI Experts: specialists such as a market research analyst, an SEO content manager or a data analyst, each with a role, instructions, skills and workflows. Otto can bring in the right Expert. You give them context and access to your tools, review their work, and turn recurring jobs into routines. Experts can also build new workflows for you, run them and put them on a schedule.

Like n8n, AutoGPT runs on your own infrastructure if you want it to: self-hosting is free, with your own model access. The platform code is source-available under PolyForm Shield (not OSI open source, much like n8n's fair-code license), and the classic AutoGPT agent is MIT. In the cloud, Pro is $50/month and covers Otto and Expert chat; workflow runs draw on a credit wallet, with spending controls for each Expert.

Watch out for: the import rebuilds each workflow with AI rather than converting it node for node, so check the result before you switch off the n8n version. AutoGPT connects to 45+ platforms, with MCP support for anything else. That's far fewer than n8n's directory, so it isn't a drop-in replacement for integration-heavy plumbing. Many teams keep a workflow tool for simple syncs and hand the judgment-heavy work to Experts.

3. Windmill: for developers who'd rather write code

Best for: engineering teams automating APIs, scripts and internal tools · License: AGPLv3 core + proprietary enterprise code · Hosting: self-host or cloud

Windmill calls itself a "code-first orchestration platform for internal software." Instead of configuring dozens of nodes, you write steps in Python, TypeScript, SQL and other languages, then compose them into flows, schedules and internal apps. If most of your n8n workflows are already Code nodes, Windmill will feel like a relief.

Watch out for: the core is AGPLv3, and Windmill's license notes that its prebuilt "Community Edition" images include proprietary code. Read the license before you build a product on top of it.

4. Make: the hosted visual alternative

Best for: visual app-to-app automation without running servers · License: proprietary · Hosting: cloud only

Make ("the visual AI automation platform") gives you a polished drag-and-drop canvas with routers, filters and error handlers across 3,000+ apps. If what you liked about n8n was the visual builder and what you disliked was running servers, Make is the natural move.

Watch out for: Make bills in credits: most standard actions use one, while AI and advanced actions can use more. Compare the number and type of steps with n8n's per-execution pricing for your workload. There's no self-hosted edition; Make's Enterprise on-premise agent only lets cloud scenarios reach systems on your network.

5. Zapier: the biggest catalog

Best for: non-technical teams that need a specific app connected today · License: proprietary · Hosting: cloud only

Zapier connects "9,000+ apps," more than any other tool here, and it's the easiest to pick up. It has moved into AI too: Zapier Agents ("Meet your new AI teammates") can act across that catalog.

Watch out for: Zapier bills per task, where each successful action step counts, and Zapier Agents are billed separately in "activities." Multi-step workflows at volume get expensive, and you can't self-host it.

6. Node-RED: for event-driven and device flows

Best for: IoT, home and industrial automation, edge devices · License: Apache-2.0 · Hosting: self-host anywhere

Node-RED is a mature flow-based tool ("low-code programming for event-driven applications") that runs on almost anything, from a server to a Raspberry Pi. It's the right n8n alternative when your workflows react to devices, sensors and message queues rather than SaaS apps.

Watch out for: business-app integrations depend on community-built nodes, so it's a weaker fit for CRM-and-spreadsheet automation.

7. Kestra, Temporal and Apache Airflow: engineering-grade orchestration

If your "workflows" are really data pipelines or backend processes, a developer orchestrator fits better than any visual tool. Kestra (Apache-2.0) defines workflows declaratively in YAML, with schedules, events and script or container steps. Temporal (MIT) gives engineers durable execution for long-running workflows written in code, self-hosted or on Temporal Cloud. Apache Airflow (Apache-2.0) is the long-standing standard for scheduled data pipelines defined in Python.

8. Gumloop and Lindy: hosted AI-first builders

Two hosted products built around AI from day one also come up in n8n comparisons. Gumloop calls itself "the multiplayer AI agent builder" and offers deployment inside your own AWS, Azure or Google Cloud environment. Lindy pitches "the AI teammate that will 3x your output" and doesn't advertise a self-hosted option.

Skip these: shut down or winding down

AI assistants and older roundups still recommend a few tools that are no longer safe bets:

• Pipedream Workflows stopped accepting signups and shuts down on March 31, 2027. Pipedream Connect, its integration layer for developers, continues.
• Relay.app shut down in September 2026 and permanently deleted all accounts, workflows and run history.
• Automatisch, an AGPL open-source Zapier alternative, hasn't had a commit to its main branch since January 2026. Check its activity before you depend on it.

How to choose

• You want n8n's model, fully open source: Activepieces.
• You want the AI to own the outcome: AutoGPT, which also imports your n8n workflows, or a hosted AI-first builder such as Gumloop or Lindy.
• Your workflows are mostly code: Windmill, or Temporal for durable backend processes.
• You never want to run a server: Make for visual control, Zapier for the widest catalog.
• Devices and events, not SaaS apps: Node-RED.
• Data pipelines: Kestra or Apache Airflow.

Before you migrate, price your three busiest workflows on each tool you're considering. Executions (n8n), credits (Make, Activepieces), tasks (Zapier) and usage wallets (AutoGPT) aren't interchangeable units, and the cheapest plan on paper often isn't the cheapest for your workload.