10 Best n8n Alternatives to Build AI Agents in 2026

The best n8n alternatives for building AI agents in 2026 fall into three groups: no-code agent builders such as MindStudio, Gumloop, Lindy and Relevance AI; automation platforms that have added agents, such as Zapier and Make; and open-source tools you can self-host, such as Dify, Langflow and Activepieces. Microsoft Copilot Studio is the default for teams that already live in Microsoft 365. Which one is right depends less on features than on three questions: who will build the agents, where the data must live, and how you want to pay.

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How This List Was Put Together

Every price, plan limit, licence and status in this article was checked on 12 October 2026 against each vendor’s own pricing page, documentation or GitHub repository, and the links go to those primary sources. This is a comparison of what each platform offers and costs, not a hands-on benchmark of agents built on all ten. Prices and AI usage rules change often, so treat the numbers as a snapshot and confirm them before you buy.

Quick Comparison

Tool	Best for	Self-host	Paid plans start at	You pay for
MindStudio	Non-developers who want many models and many deployment options	Business plan only	$20/month ($16 billed yearly) plus usage	Plan plus AI usage
Zapier	Teams already automating with Zapier	No	$19.99/month billed yearly (750 tasks)	Tasks; agents use separate “activities”
Make	Visual scenario builders on a budget	No	$9/month for 5,000 credits	Credits
Gumloop	Business teams building agents on company tools	No	$37/month (Pro)	Plan
Lindy	An AI assistant that works inside Slack, email and meetings	No	$49.99/month (5,000 credits)	Credits per user
Relevance AI	Companies building an “AI workforce” with sales support	No	Sales-led (no public price)	Custom
Dify	Technical teams building RAG apps and agentic workflows	Yes (Community Edition)	$590 per workspace per year (cloud)	Plan plus message credits
Langflow	Developers who want an MIT-licensed visual agent builder	Yes (only option)	Free, open source	Your own hosting and model costs
Activepieces	Teams wanting an n8n-like tool with an MIT core	Yes (Community Edition)	$20/month (Plus, 10,000 credits)	Credits
Copilot Studio	Organisations standardised on Microsoft 365	No	$200/month per 25,000 Copilot Credits	Copilot Credits

Why Teams Look Beyond n8n for AI Agents

n8n is a strong agent platform, and for many technical teams it remains the right choice. It has an AI Agent node, LangChain-based building blocks, built-in evaluations and a large community. The reasons people look elsewhere are usually specific:

• Licence. n8n is “fair-code” under its Sustainable Use License, not an OSI-approved open-source licence. That is fine for most internal use, but it matters if you plan to embed or resell it, or if your company only accepts OSI licences.
• Pricing model. n8n Cloud charges by workflow execution: Starter is €20 a month billed yearly for 2,500 executions, and Pro is €50 for 10,000. Agent-heavy workloads with many short runs can hit those limits sooner than expected.
• Who builds. n8n rewards people who are comfortable with JSON, expressions and a bit of code. Teams where non-developers need to build their own agents often want something more guided.
• Operations. Self-hosting n8n means you own updates, backups, scaling and security. Our guides on the best way to self-host n8n and running n8n on Google Cloud show what that involves.

If none of these apply, stay on n8n. Switching platforms costs more than most feature differences are worth.

The 10 Best n8n Alternatives for AI Agents

1. MindStudio

MindStudio is a visual AI agent builder aimed at people who do not want to write code, with optional code support for those who do. Its main strengths are breadth and deployment choice. It offers access to more than 200 text, image and video models from providers including OpenAI, Anthropic and Google without separate provider accounts, or you can bring your own keys. It lists over 1,000 integrations. Agents can run as web apps, on a schedule, as browser extensions, from an email, through a webhook or API, or as MCP servers that other AI models can call.

• Pricing: Free (one agent, 1,000 runs a month); Individual at $20 a month or $16 billed yearly, with unlimited agents and runs; Business on custom pricing. All plans add AI model usage on top.
• Best for: operators, marketers and product people who want to ship many small agents quickly.
• Watch out for: usage-based model costs on top of the plan, and self-hosting only on the Business plan.

2. Zapier (Zapier Agents)

Zapier’s agents sit on top of its automation platform, so they can act across the same apps as your existing Zaps. The important detail is billing. Agents are metered in “activities”, separately from the tasks your Zaps consume: 400 activities a month on the free plan and 1,500 on Pro, with a per-run cap of 10 activities on Free and 40 on paid plans, after which the agent asks before continuing.

• Pricing: Free (100 tasks a month); Professional from $19.99 a month billed yearly ($29.99 monthly) for 750 tasks; Team from $69 a month billed yearly; Enterprise custom. Agents on Pro start at about $33.33 a month billed yearly.
• Best for: teams already running their operations on Zapier who want agents without a new platform.
• Watch out for: two meters (tasks and activities) to budget, and no self-hosting.

3. Make (Make AI Agents)

Make is the closest visual competitor to n8n, with a flowchart-style editor for non-linear scenarios. Make AI Agents are in beta. On every plan, agents can use Make’s own AI provider. From the paid Make plan upward, they can also use your own model key. Make now bills in credits, where most module actions cost one credit and some AI features cost more.

• Pricing: Free up to 1,000 credits a month; the paid plan starts at $9 a month for 5,000 credits and scales with volume; Enterprise is custom.
• Best for: people who like n8n’s visual style but want a hosted service and a low entry price.
• Watch out for: agents are still labelled beta, and the credit cost of AI steps is not published as a fixed rate.

4. Gumloop

Gumloop is an AI-first platform for building agents that use your company’s tools and data. Agents can run on triggers and schedules or be called over a REST API, and Gumloop also offers an MCP server so you can use it from inside Claude.

• Pricing: Pro starts at $37 a month with a 14-day free trial and unlimited agents; Enterprise is custom.
• Best for: business teams that want agents connected to their SaaS stack without running infrastructure.
• Watch out for: no self-hosting, and no permanent free plan on the pricing page.

5. Lindy

Lindy positions its agents as AI teammates rather than workflows. It works natively inside Slack and includes scheduled routines, meeting recording and notes, inbox management, built-in approvals, MCP support and more than 1,500 integrations. Paid plans add computer use and a choice of model per task.

• Pricing: Free with $50 of credits that last seven days; Team from $49.99 a month for 5,000 credits, with each active workspace user billed; Enterprise custom with HIPAA (signed BAA), SSO and SCIM.
• Best for: teams that want an assistant handling email, meetings and follow-ups more than a workflow builder.
• Watch out for: credits vary widely by task (from 2 to 2,500 per request), monthly credits do not roll over, and every active user is billed.

6. Relevance AI

Relevance AI sells an “AI workforce”: teams of agents for functions such as sales development. Its pricing page lists unlimited agents, tools, users and projects, more than 2,000 integrations, calling and meeting agents, agent evaluations, A/B testing and analytics, and SSO, role-based access and audit logs.

• Pricing: sales-led. The public page shows only an Enterprise tier with “Talk to sales”.
• Best for: mid-size and larger companies that want vendor help deploying agents into a business function.
• Watch out for: no public price, so it is hard to evaluate on your own.

7. Dify

Dify is an open-source platform for agentic workflows and RAG pipelines, with broad model and tool support. It is one of the most popular projects in this space on GitHub, and it ships often; version 1.17.1 was released in September 2026. You can self-host the free Community Edition with Docker or use Dify Cloud.

• Pricing: Sandbox is free with 200 message credits; Professional is $590 per workspace per year (5,000 credits a month); Team is $1,590 per workspace per year (10,000 credits a month); Enterprise is custom. You can switch to your own model keys when credits run out.
• Licence: a modified Apache 2.0 licence. You need written permission to run it as a multi-tenant service, and you must keep Dify’s logo and copyright in the console if you use its frontend.
• Best for: technical teams that want RAG and agents in one self-hostable tool.
• Watch out for: the licence conditions if you plan to offer it to customers as a hosted product.

8. Langflow

Langflow is a visual builder for AI agents and workflows, released under the MIT licence, with no paid tier to unlock features. It is maintained by DataStax, which IBM agreed to acquire in 2025, and it is actively developed; version 1.12.5 came out on 6 October 2026.

• Pricing: free and open source. You pay for your own hosting and model usage.
• Best for: developers who want a permissive licence and full control.
• Watch out for: security. CISA’s Known Exploited Vulnerabilities catalog lists six Langflow vulnerabilities added between May 2025 and August 2026, meaning attackers have used them in the wild. Keep it patched and do not expose it to the internet without authentication in front.

9. Activepieces

Activepieces is the alternative that looks most like n8n: a workflow automation tool with flows, agents and tables, a large library of integrations written as open-source TypeScript “pieces”, and a large catalogue of MCP servers for AI agents. Its core is MIT-licensed, with enterprise features under a separate licence.

• Pricing: Free with 1,000 credits a month for up to five users; Plus at $20 a month for 10,000 credits; Team at $200 a month for 50,000 credits and 25 users; Ultimate custom. Each run costs one credit, AI steps add 2 to 20 credits depending on the model, and bringing your own model keys cuts each AI step to one credit.
• Best for: teams that want an n8n-style tool with an OSI-approved core licence and a cheap hosted option.
• Watch out for: features in the enterprise directories are not MIT-licensed, so check which ones you need.

10. Microsoft Copilot Studio

Copilot Studio is Microsoft’s agent builder. Microsoft 365 Copilot users ($30 per user per month, paid yearly) can already build and use internal agents at no extra cost. Publishing agents to external channels needs a standalone Copilot Studio licence.

• Pricing: capacity packs at $200 per pack per month for 25,000 Copilot Credits, a pre-purchase plan with savings of up to 20%, or pay-as-you-go billed through Azure.
• Best for: organisations standardised on Microsoft 365, Teams and Azure.
• Watch out for: credit-based billing that is hard to predict before you have usage data, and a strong pull toward the Microsoft ecosystem.

Left Off This List: Flowise

Flowise was a popular open-source visual builder for LLM apps and agents and still appears on many “alternatives” lists. As of October 2026, its GitHub repository is archived and read-only, so it no longer receives open-source updates. We would not start a new project on it. If you already run it, Langflow and Dify are the closest open-source replacements.

How to Choose

If your situation is…	Start with
Non-developers need to build many small agents	MindStudio, Gumloop
You want an assistant for email, meetings and Slack	Lindy
You already run on Zapier or Make	Zapier Agents, Make AI Agents
Data must stay on your own servers	Dify, Activepieces, Langflow (MindStudio Business also self-hosts)
You need an OSI-approved licence	Langflow (MIT), Activepieces (MIT core)
Your company runs on Microsoft 365	Copilot Studio
You want vendor help rolling agents into sales or support	Relevance AI

Then run a small test before you commit. Pick one real task, build the same agent on your two shortlisted tools, and compare three things: how long it took to build, how often it produced a correct result over the same set of inputs, and what it cost per successful run. Read the pricing unit closely, because tasks, executions, activities, credits and message credits are not the same thing, and the cheapest plan on paper is often not the cheapest in use.

A Note on Self-Hosting Security

Self-hosting gives you control over data, but it also makes you responsible for patching. CISA’s Known Exploited Vulnerabilities catalog includes six Langflow vulnerabilities and one n8n vulnerability (CVE-2025-68613, added in March 2026) that have been exploited in practice. Whichever open-source tool you pick, put it behind authentication, keep it off the public internet where you can, subscribe to its security advisories and update promptly.

If you want to try one of these, MindStudio has a free plan with one agent and 1,000 runs a month; we compare it in detail in MindStudio vs n8n and break down its costs in MindStudio pricing explained. If you decide to stay with n8n but don’t want to run servers, n8n Cloud starts at €20 a month billed yearly.

Conclusion

There is no single best n8n alternative for AI agents. MindStudio and Gumloop suit teams where non-developers build; Lindy suits teams that want an assistant more than a builder; Zapier and Make suit teams already invested in them; Dify, Langflow and Activepieces suit teams that need to self-host or want an open licence; Relevance AI and Copilot Studio suit larger organisations with matching needs. Decide who builds, where the data lives and how you want to pay, shortlist two tools, and test them on one real task before switching. If you are still weighing classic automation tools against each other, see our comparisons of n8n vs Make and n8n vs Zapier, and our explainer on what an agentic AI is.