What is the best n8n alternative?

Major is the best n8n alternative for governed production work. An agent reasons through the judgment once and builds a deterministic app for the repeatable part, so the workflow has its own database, role-based access, scoped credentials and an exportable audit log. Activepieces, Windmill and Kestra are the other self-hostable options, each described in the comparison above.

What is the best free n8n alternative?

Activepieces has the most permissive free license, MIT, and self-hosts on Docker or Helm. Windmill (AGPLv3), Kestra (Apache 2.0) and Airflow (Apache 2.0) are also free to self-host, and Make, Zapier, Gumloop and Stack AI have capped free tiers. A free license is not a free deployment: you absorb upgrades, backups, scaling and on-call, and SSO, RBAC and audit usually sit on paid tiers. Major ships those governance features from the first deploy.

Is n8n free for commercial use?

Yes for internal business use, and no for reselling it as a hosted service. The Community Edition ships under the Sustainable Use License, which permits internal use and modification but restricts hosting n8n as a competing commercial service. Teams embedding automation into a product they sell often move to an MIT option such as Activepieces, or to a commercially licensed platform such as Major.

n8n Alternatives: 10 Workflow and AI Agent Tools Compared

Outgrowing n8n self-hosting overhead or licensing? We compare 10 alternatives across open-source, cloud, and AI-agent platforms, with Major first for governed production work.

Jason BaoJune 30, 2026Updated October 21, 2026

Woman drawing a workflow flowchart on a whiteboard to plan an n8n replacement

The best n8n alternative for governed production work is Major

Major is the pick when an n8n workflow has outgrown its node graph. An agent reasons through the judgment once, then builds a deterministic app for the repeatable part, so the workflow keeps its own database, role-based access and audit log instead of sprawling into more branches. Activepieces, Windmill and Kestra are the usual open-source, self-hosted names. Make and Zapier are the hosted ones. Each is described below as it stands, with Major first because it is the only one that turns the work into governed software.

Four triggers push teams off n8n, and only one is a complaint about quality. Licensing: n8n uses the Sustainable Use License, which allows internal business use but restricts hosting it as a competing commercial service. Self-host upkeep: the Community Edition costs nothing to license, but upgrades, Postgres and queue backups, worker scaling and hardening land on your team. AI work: native AI nodes still run a fixed path you wired in advance. Governance: SSO, role-based access and audit logs sit mostly on the paid enterprise tier.

A $0 license is not a $0 deployment. Budget for a server or cluster, upgrades that can break custom nodes, backups, TLS and someone on call when a run fails at 2am.

Quick comparison

Major: commercial, Helm self-host in your VPC, apps built by agents or by prompt, RBAC at the query layer, audit export to your SIEM.
n8n (baseline): Sustainable Use license, Community Edition self-host, visual plus code nodes, governance on the enterprise tier. Cloud starts around 24 euros per month.
Activepieces: MIT community edition, Docker or Helm, native MCP support, SSO and RBAC on the enterprise tier.
Windmill: AGPLv3 community edition, code-first in TypeScript, Python, Go and Bash, SSO and audit on the enterprise edition.
Kestra: Apache 2.0, declarative YAML, RBAC and audit on the enterprise edition.
Temporal: Apache 2.0, workflows as code with durable execution.
Apache Airflow: Apache 2.0, Python DAGs for batch pipelines.
Make: hosted, operations-based pricing, AI agents on paid plans.
Zapier: hosted, the largest connector catalog, task-based pricing with AI add-ons.
Gumloop and Stack AI: hosted visual builders for AI agents.

License terms and prices reflect public sources as of June 2026 and change often.

Major

Major is the enterprise platform where agents build the software they run on. You describe the workflow. The agent reasons once over the goal, then writes a deterministic app for the repeatable part: real routes, a managed database, file storage and logs. After that the app runs on a schedule or webhook and the model is called only for steps that need judgment. Reason once. Run forever.

A node graph absorbs every exception as another branch, and a year later nobody can say what it does. In Major those exceptions land in code you can read, version and test, and state persists between runs instead of being threaded through nodes as JSON. Credentials are scoped through a credential proxy, agents act under the identity of the person who invoked them, and every action is logged. Cost is front-loaded into the build, then flat per run, because each run executes the app instead of re-reasoning the whole graph.

Major carries fewer prebuilt nodes than n8n and it is not a drop-in node editor. It fits workflows that carry judgment, need state between runs, or have to answer to an auditor. Pricing is by contact, and Helm self-hosting covers data residency and air-gap requirements.

Temporal

Temporal is workflow-as-code for durable execution. You write workflows in application code and Temporal keeps them alive through crashes, retries and restarts. It suits engineering teams embedding long-running processes, lasting minutes to weeks, inside their own applications. Self-hosting is free under Apache 2.0, and Temporal Cloud is managed with usage-based pricing. It is a durability engine, so connectors, UI and governance are yours to build.

Apache Airflow

Airflow schedules data pipelines as Python DAGs and has the deepest provider ecosystem in this group. Data engineering teams running scheduled ETL and ML jobs know it already. It is free and open source, with managed offerings from cloud vendors. Airflow 2.x reached end of life in April 2026, so a supported 3.x line or a managed provider is the baseline.

Activepieces

Activepieces is an open-source automation platform with a visual builder and reusable code pieces. The Community Edition is MIT licensed and free to self-host on Docker or Helm, which removes the fair-code restriction that sends many teams looking. It ships native MCP support, as a server exposing flows as tools and as client pieces calling external MCP tools, and AI agents on every plan. The UI sits closer to Zapier than to a developer tool. The free tier covers 10 active flows, paid plans start at $5 per active flow per month, and SSO and RBAC sit on the enterprise tier.

Windmill

Windmill turns scripts in TypeScript, Python, Go, Bash and 20-plus other languages into webhooks, workflows and internal UIs, and generates a frontend from a script's input parameters. The Community Edition is AGPLv3, self-hosted with unlimited executions. Normal code means no proprietary SDK lock-in. The Team plan is $10 per user per month. SSO and audit need the Enterprise Edition under a separate license, and the AGPLv3 terms matter if you distribute a derivative work.

Kestra

Kestra is an Apache 2.0 declarative orchestration platform. Workflows are YAML, triggered by events or schedules and extended through a large plugin set. Platform and data teams use it to coordinate pipelines across many systems, and it handles event-driven execution at a scale lighter automation tools struggle with. The open-source edition includes unlimited workflows and the visual editor. Enterprise adds RBAC, SSO, multi-tenancy and audit logs at custom pricing.

Make

Make is a hosted visual automation tool built around scenarios, with no instance to maintain. Operations-based pricing costs far less at volume than per-task billing, and every paid plan includes Make AI Agents. Core starts at $9 per month on annual billing for 10,000 operations. It suits operations and growth teams that value convenience over self-hosting.

Zapier

Zapier is the largest hosted automation network by connector count, quick for non-technical users, and usually the first place a long-tail integration exists. Pricing is task-based. The free plan is capped at 100 tasks, and Professional starts at $29.99 per month for 750 tasks. AI Agents, Copilot and Chatbots are separate paid layers, which can push a fully agentic setup to $150 to $200 per month.

Gumloop

Gumloop is a visual AI automation platform with over 115 prebuilt blocks, aimed at employees who want agents without code, deployable into Slack or Microsoft Teams. Gumstack adds usage monitoring for enterprise oversight. The free plan includes 2,000 credits, Solo is $37 per month, Pro is around $97, and Enterprise with SSO/SAML is custom.

Stack AI

Stack AI is a fully managed visual builder for AI agents and LLM workflows, with enterprise compliance tiers for regulated teams. It is agent-native from the ground up and hosted, so teams that want a documented compliance posture without running infrastructure use it. There is a free tier, and paid plans scale by usage and enterprise needs.

Build the n8n replacement on Major

Take a lead-routing workflow: a Webhook Trigger, an HTTP Request node to enrich the lead, an IF node branching on company size, two Set nodes and a CRM Create node. On Major it becomes this:

Connectors: HubSpot or Salesforce for the CRM, Slack for the sales channel and approvals, and Postgres or the managed database for state.
App: a lead-routing app owns the routes, the routing rules table and the log of every decision. The CRM write is a typed, deterministic action, so the model never improvises it.
Agent: the hand-coded IF threshold becomes a judgment step. The agent reads the enriched lead and picks the route, and only that step spends tokens.
Trigger: a webhook from your form tool, or a schedule for batch enrichment.
Governance: the CRM write runs under the OAuth identity of the operator who triggered it, access is role-based at the query layer, credentials stay scoped behind the proxy, and the audit log exports to your SIEM.
Cutover: replay a sample lead and confirm the audit entry shows the invoker and the exact action.

Build your first replacement for an n8n workflow on Major.

Can you build AI agents in n8n?

Partly. n8n has native AI nodes and an AI Agent node that calls tools and chains LLM steps. That covers many assistant-style tasks. The limit is structural: a node graph executes the fixed path you defined, so the further you push toward open-ended reasoning and autonomous action, the more you bend an automation tool to do agent work. When the action side needs hard guarantees, run-as-invoker identity and exportable audit, agents over deterministic apps fit the job.

This comparison covers license, hosting, interface, AI support, governance and headline pricing. It does not benchmark throughput or model total cost at your volume.

Start building on Major

Move the n8n workflow that has grown too many branches onto Major: the agent handles the judgment once, and the repeatable part runs as a governed app with its own data and audit trail.

Frequently asked questions

What is the best n8n alternative?: Major is the best n8n alternative for governed production work. An agent reasons through the judgment once and builds a deterministic app for the repeatable part, so the workflow has its own database, role-based access, scoped credentials and an exportable audit log. Activepieces, Windmill and Kestra are the other self-hostable options, each described in the comparison above.
What is the best free n8n alternative?: Activepieces has the most permissive free license, MIT, and self-hosts on Docker or Helm. Windmill (AGPLv3), Kestra (Apache 2.0) and Airflow (Apache 2.0) are also free to self-host, and Make, Zapier, Gumloop and Stack AI have capped free tiers. A free license is not a free deployment: you absorb upgrades, backups, scaling and on-call, and SSO, RBAC and audit usually sit on paid tiers. Major ships those governance features from the first deploy.
Which n8n alternative is best for enterprise and regulated teams?: Look for data residency you control, attributable identity on every action, and access control at the data layer. Major self-hosts in your VPC via Helm, runs agents under the identity of the person who invoked them, applies role-based access at the query layer, and exports audit logs to your SIEM. Ask any vendor for the executed agreement and current audit report before you commit.
Can you build AI agents in n8n?: Partly. n8n has native AI nodes and an AI Agent node that chains LLM steps and calls tools inside a workflow. A node graph still executes a fixed path you wired, so open-ended reasoning strains it. Major has an agent reason over the goal once and build a deterministic app it then runs, with run-as-invoker identity and audit on every action.
Is n8n free for commercial use?: Yes for internal business use, and no for reselling it as a hosted service. The Community Edition ships under the Sustainable Use License, which permits internal use and modification but restricts hosting n8n as a competing commercial service. Teams embedding automation into a product they sell often move to an MIT option such as Activepieces, or to a commercially licensed platform such as Major.