Best n8n alternatives in 2026: free and paid options

n8n made its name with visual workflow automation: a node-based canvas that connects apps and APIs, with JavaScript or Python whenever you need it. In 2026 it leans hard into AI, with AI Agent nodes, a Guardrails node, human approval before an agent runs a tool, evaluations and, since September 2026, standalone n8n Agents in preview. It is still a workflow tool first, and it is source-available under its fair-code Sustainable Use License rather than open source.

Teams look for an n8n alternative for a few specific reasons: an open-source license without use restrictions, agents that answer phone calls, evaluations on live production traffic, or engineers who ship the first agent inside their own environment. This guide compares the main options as of September 2026, using each vendor's own pages, which are listed at the end.

Quick comparison

Flowise, which earlier versions of this guide listed, reached end of life on August 31, 2026 and is no longer an option for new projects. More on that below.

What to look for in an n8n alternative

Agents, not only nodes

Look for planning, tool use, memory and multi-agent patterns as first-class features, plus guardrails and human approvals at the steps that matter. A linear chain of nodes with an LLM step in the middle is not the same as an agent that decides which tools to call.

Low-code and code on one engine

Drag-and-drop is fast until you hit an edge case. Platforms where the visual builder and an SDK share one engine let developers drop into code without rewriting what business users built.

Evaluations and observability in production

LLM calls cost money and fail in new ways. You want datasets built from real traces, scoring with an LLM judge, evaluations on live traffic, and traces with cost and latency for every step.

Deployment and license

Security teams may require your own cloud, on-prem Kubernetes or an isolated network. Read the license too: fair-code and source-available licenses can restrict how you run or resell the software.

Top n8n alternatives

Zapier

Zapier is the no-code option. It describes itself as a way to build and govern AI workflows and agents across 9,000+ apps. Zapier Agents draw on files and app sources such as Google Drive, Notion and Confluence, can call other agents and pause for approval steps, and are moving into AI by Zapier inside the Zap editor. Zapier also offers embeddable chatbots, Tables, Forms and an MCP server that lets AI clients act in those apps. Team and Enterprise plans add SSO, Enterprise adds SCIM, analytics and an Observability API, and Zapier maintains SOC 2 and SOC 3 reports.

The limits for AI-heavy teams: Zapier runs only in its own cloud, hosted on AWS in the United States, and we found no evaluation datasets or scoring for agents in its documentation. Choose Zapier for fast automation across a very large app catalog; look elsewhere if agents must run inside your own environment.

Dify

Dify calls itself a platform for production-ready agentic workflows. Its visual builder covers workflows, chat apps, agents and Knowledge Pipelines for RAG, with a marketplace of plugins for models, tools, data sources and MCP. Apps publish as web apps, API endpoints, embeds or MCP servers, and Dify Enterprise runs in your VPC, on-prem or air-gapped, with SSO, SCIM, RBAC and audit logs.

Two things to check: the license is a modified Apache 2.0 that bars running Dify as a multi-tenant service without written permission, and we found no built-in evaluation suite in its docs. Choose Dify for fast LLM app and RAG prototyping with a large community.

Microsoft Copilot Studio

Copilot Studio is Microsoft's low-code studio for agents and workflows that publish to Teams, Microsoft 365 Copilot, websites and other channels. It supports multi-agent orchestration, computer use, OpenAI and Anthropic models, agent evaluations (generally available since March 2026) and a Microsoft Entra Agent ID for each new agent. Pricing is in Copilot Credits rather than seats: $200 for 25,000 credits a month, or $0.01 per credit pay-as-you-go.

The trade-off is hosting. Copilot Studio runs only as a Microsoft cloud service, including US government clouds, with no self-hosted option. Choose it if your organization is standardized on Microsoft 365.

Langflow

Langflow is an MIT licensed, Python-based builder for agents and RAG applications that can also publish flows as MCP servers. It runs as a desktop app, a Python package, a Docker container or a headless runtime on Kubernetes, and recent releases added a Guardrails component, human-in-the-loop checkpoints, built-in traces and OpenTelemetry export.

Gaps to plan for: no built-in evaluation suite is documented, its voice mode is deprecated, and full SSO and RBAC enforcement are plugins that open-source Langflow does not include. Choose it for developer-led projects that stay close to Python.

n8n, when it still fits

n8n remains a strong choice when AI is one part of broader automation. It has a large integration and template library, JavaScript and Python code nodes, an AI Agent node with tools and sub-agents, a Guardrails node, human approval before an agent runs a chosen tool, quick and metric-based evaluations, and OpenTelemetry tracing. Self-hosting is free under the Sustainable Use License, which limits use to internal business, non-commercial or personal purposes; SSO and Git version control come with the Business and Enterprise plans.

Dynamiq

Dynamiq is a platform for chat, voice and workflow agents, with guardrails, evals and observability on the same engine, deployed in Dynamiq Cloud or inside your own environment. The agent engine is an open-source Python SDK under Apache-2.0; the platform around it is not open source.

• Agent Builder: a visual canvas and the open-source Python SDK on one engine, with Choice and rules nodes, approvals with editable fields on any tool step, workflows generated from a prompt, and versions with rollback.
• AI Coworker: an agent with its own cloud sandbox computer (Linux shell, files, browser automation and live web previews), connectors, a skills library, scheduled tasks and subagents, in the browser and in Slack, Microsoft Teams and Telegram.
• Voice Agents: inbound calls over WebRTC, SIP and WebSocket, with per-turn latency measurement and simulations scored by an LLM judge.
• Agentic memory: session memory scoped by user and session, with recent, relevant or both retrieval, and long-term memory where the agent itself decides when to save and recall durable, user-scoped facts through remember and recall tools, updating an existing fact rather than saving a near duplicate.
• Knowledge: ingestion pipelines, permission-aware retrieval filters, knowledge graphs, and document parsing and extraction.
• Integrations: 2,100+ app integrations and 11,800+ actions, plus MCP servers and per-user connections.
• Models and AI Gateway: 29 model providers in the SDK and the most-used models behind one OpenAI-compatible AI Gateway endpoint, plus open models served on vLLM and LoRA fine-tuning.
• Guardrails and approvals: detect PII and prompt injection, with policy detection, validators and execution approvals.
• Evals and observability: datasets built from traces, LLM-as-a-judge, predefined and code metrics, and real-time evaluations on live deployments; traces with cost and latency per node, monitoring, and an AI agent that surfaces issues from production traces.
• Deployment: Dynamiq Cloud, or self-hosted on AWS, Azure, GCP, IBM Cloud, Red Hat OpenShift or any Kubernetes cluster, or on-prem, with self-hosting on Enterprise. Fully isolated or air-gapped setups are delivered with our engineers. Available on AWS Marketplace, Microsoft Azure Marketplace and IBM Marketplace.
• Security and compliance: SOC 2, HIPAA and GDPR. Guardrails and approvals come on every plan, and SSO (OIDC with Okta and Microsoft Entra ID) on Enterprise.
• Pricing: free to start ($0), and Enterprise with custom pricing.
• Forward-deployed engineers: a bootcamp in your environment, your first production agent shipped with your team, then a handover.

For a row-by-row view, see Dynamiq vs n8n.

What happened to Flowise?

Flowise, a visual builder for chatbots and agents that earlier versions of this guide recommended, announced on July 29, 2026 that it was winding down and froze development that day. Its GitHub repository was archived on August 13, and it reached end of life on August 31, 2026. The Apache 2.0 source remains available, but npm packages and Docker images are marked deprecated, so it is not a fit for new projects. See Dynamiq vs Flowise for migration notes.

When to consider an n8n alternative

• Your agents need to answer phone calls, not only chat.
• You need an open-source license without limits on commercial use, or hosting rights without a separate agreement.
• Compliance asks for evaluations on live traffic and traces with cost and latency for every step.
• You want engineers to ship the first production agent inside your environment.
• AI agents, not app-to-app automation, are the main workload.

Conclusion

n8n is excellent for automating work across many apps, and its 2026 releases make it a credible place to run AI steps too. Zapier, Dify, Langflow and Copilot Studio each cover part of the picture. If your roadmap centers on governed agents, including voice, evaluated in production and deployed in your own environment, compare Dynamiq side by side and read the open-source SDK on GitHub.

FAQ

Is n8n free?

The Community Edition is free to self-host under n8n's Sustainable Use License, a fair-code license that allows internal business, non-commercial and personal use. n8n Cloud offers a free trial rather than a free plan, with paid Starter, Pro, Business and Enterprise plans, per n8n's pricing page.

What is the best free alternative to n8n?

For a free, self-hosted builder for LLM apps and agents, Langflow (MIT) and Dify's Community Edition (free, source-available) are the closest options. Dynamiq offers a free plan to start, plus custom Enterprise pricing, and its Apache-2.0 SDK is free to use in your own code.

Is there an open-source alternative to n8n?

n8n is source-available rather than open source in the strict sense, because its license limits commercial use. Langflow (MIT) and Dynamiq's SDK (Apache-2.0) are open source without those limits. Dify uses a modified Apache license that needs permission for multi-tenant hosting.

How does Dynamiq compare with n8n?

See the Dynamiq vs n8n comparison for license, deployment, agents, evaluations and how to migrate.

Sources

Vendor facts were checked on September 29, 2026 against these pages:

• n8n: pricing, security, license, agents, Guardrails node, evaluations
• Zapier: homepage, Agents, pricing, security and compliance
• Dify: homepage, Enterprise, license
• Microsoft Copilot Studio: overview, pricing, what's new
• Langflow: homepage, docs, license
• Flowise: sunset announcement, archived repository