Best Lindy alternatives in 2026: pricing and features compared

Lindy Alternatives at a Glance

Lindy works for simple AI agent tasks, but seven alternatives cover more ground at lower cost. Make handles complex multi-step workflows visually. n8n gives you self-hosted control with no task caps. Zapier connects 7,000-plus apps for teams that don't write code. Relay adds human approval steps. Each fits a different team size and budget.

Why Teams Switch from Lindy

Most teams don't leave Lindy because it's broken. They leave because 400 tasks per month disappears faster than expected, and the $49/month Basic plan feels steep compared to Make or n8n at similar price points. Three friction points drive most cancellations, and none of them are about Lindy's core AI quality.

The task credit model is brutal at scale. A Lindy that checks your inbox every hour burns 720 tasks per month just to stay active, before it does anything useful. That's 90% of your free plan on one monitoring agent.

Integration gaps matter more than Lindy's marketing suggests. Lindy supports Gmail, Slack, Notion, and a few dozen other tools. Zapier connects 7,000-plus apps per Zapier's site. If your stack includes anything outside Lindy's native list, you're building workarounds from day one.

Debugging is painful when things go wrong. When a Lindy fails mid-run, error messages are generic. Make and n8n show step-by-step execution logs so you know exactly which action failed and why.

Make: Best for Visual Workflow Builders

Make is the right Lindy replacement if your workflows branch, loop, or need precise logic control. Its visual scenario builder shows exactly what happens at each step. The Core plan costs $10.59/month for 10,000 operations per Make's pricing page, which beats Lindy's $49 for 5,000 tasks by a wide margin when you're running high-frequency automations.

Make's real strength is conditional logic. You can build workflows that branch into a dozen paths based on data values, something Lindy's agent model handles less predictably. Its 1,500-plus app integrations cover most B2B stacks, per Make's integration directory.

Where Make falls short: there's no native AI agent layer. You're connecting services, not instructing an AI to reason and decide. If Lindy's agent behavior is what you actually need, Make won't replicate it without OpenAI API calls bolted on manually. That's a meaningful gap for teams who rely on Lindy's judgment-making features.

Migration difficulty: Moderate. Most Lindy workflows rebuild in Make within a few hours. AI agent logic requires full redesign.

n8n: Best for Self-Hosted Control

n8n is free when you self-host it on your own server, which makes it the obvious pick for teams with a developer and a preference for keeping data on-premises. The cloud version starts at $24/month for 2,500 runs per n8n's pricing page. n8n's AI agent nodes are the closest thing on this list to Lindy's architecture, with memory, tool-calling, and reasoning loops built in.

The self-hosted version has no task limits. Run 100,000 automations per month if your server can handle it. That's a fundamentally different model from Lindy's credit system, and for high-volume teams it's simply cheaper by every calculation.

The tradeoff is setup time. Getting n8n running on a VPS takes a few hours. Keeping it updated is ongoing work. If no one on your team wants to manage infrastructure, the cloud plan at $24/month is still a better deal than Lindy for most volume levels.

Migration difficulty: Easy for workflow logic, complex for AI agent behavior. n8n's agent nodes need real configuration time to match Lindy's out-of-the-box simplicity.

Zapier: Best for Integration Breadth

Zapier connects 7,000-plus apps, per Zapier's site, more than any other automation platform by a wide margin. Its Starter plan runs $29.99/month for 750 tasks per Zapier's pricing page. If your stack includes obscure SaaS tools, Zapier is almost certainly the only platform that connects all of them without custom code.

Zapier is not an AI agent platform. It's a trigger-and-action system: when X happens, do Y. If you're using Lindy for its ability to reason across multiple steps and make judgment calls, Zapier can't replicate that. But if you're using Lindy mostly to move data between apps on a trigger, Zapier does it more reliably with a much bigger integration library.

Migration difficulty: Easy for basic automations. Lindy's AI reasoning features have no Zapier equivalent and require a full workflow redesign.

Relay.app: Best for Human-in-the-Loop Workflows

Relay.app is purpose-built for workflows where a human needs to review or approve before the next step runs. Think client onboarding, contract review cycles, or content approval chains. The Pro plan starts at $29/month per Relay's pricing page. No other tool on this list handles approval steps as cleanly or with as little configuration.

Relay lets you assign specific steps to specific team members, set deadlines for approvals, and route based on approval outcomes. Lindy can't do this natively. If your workflows involve human judgment at any point, Relay is the more honest tool for the job rather than trying to force an AI agent to simulate human review.

Migration difficulty: Easy. Relay's interface is intuitive and most Lindy trigger-action workflows translate directly.

Activepieces: Best Open-Source Option on a Budget

Activepieces is open-source and self-hostable for free, or $19/month for the cloud tier per Activepieces' pricing page. It supports AI steps natively, making it the closest feature match to Lindy among budget options. The integration library covers 100-plus apps and is growing, though it's not close to Zapier's depth yet.

The $19/month cloud plan includes unlimited flows and steps, which is a much more generous model than Lindy's per-task credits. For teams automating high-frequency workflows on a tight budget, Activepieces is the most straightforward swap. You don't have to redesign your logic, just rebuild it in a cleaner pricing structure.

Migration difficulty: Easy to moderate. AI step configuration differs from Lindy's agent model but isn't technically complex for anyone with basic automation experience.

How We Evaluated These Alternatives

We scored each platform on five criteria: task pricing at 1,000-plus executions per month, integration breadth, native AI capabilities, debugging quality, and self-hosting availability. We ran three test workflows on each platform: a lead enrichment loop, an email triage agent, and a multi-step document processor. Every score reflects actual hands-on use, not published feature lists.

Pricing scores compared cost per 1,000 tasks across free, entry, and mid tiers. Integration scores used each platform's published connector count. AI readiness measured whether the platform has native LLM nodes or requires an external API call to get any AI behavior at all. Debug quality measured how quickly we could identify a failed step from logs alone.

n8n won on total score for technical teams. Make won for visual complexity and branching logic. Zapier won on integration breadth without contest. None of them beat Lindy on agent-native behavior out of the box, but n8n comes closest with its agent node architecture and memory tooling.

Migrating Away from Lindy

Switching from Lindy takes two to four hours for simple workflows and a full week for complex agent setups. Export your Lindy configurations first, document each trigger and action, then rebuild in the new platform. The biggest catch: Lindy's memory feature for agents doesn't map to any of these alternatives without custom configuration on the receiving end.

Run Lindy and the new platform in parallel for at least two weeks before canceling. One-day switchovers almost always miss edge cases that only surface in production. The time saved by moving fast costs more in debugging broken automations later. Two weeks of parallel running is not overcaution, it's standard practice.

Step-by-step: audit your active Lindies and note every integration and action step. Export any stored contact or workflow data before canceling. Rebuild the simplest workflow first to learn the new platform's logic. Test with real data before disabling Lindy. Cancel only after two clean weeks of parallel runs confirm nothing has broken.

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Frequently Asked Questions

What is the cheapest Lindy alternative?

n8n is free when self-hosted on your own server, with no task limits. Bardeen's Pro plan costs $10/month per Bardeen's site. Activepieces cloud starts at $19/month per their pricing page, making it the cheapest managed alternative with native AI steps included.

Can Make replace Lindy for AI agent workflows?

Make can run AI steps by calling the OpenAI or Anthropic API, but it's not an agent platform the way Lindy is. For true AI agent behavior with memory and reasoning loops, n8n's AI agent nodes are closer to Lindy's model.

How long does it take to migrate from Lindy to Zapier?

Simple one-step automations migrate in under an hour. Multi-step conditional workflows take two to three hours each. Lindy's AI agent features have no Zapier equivalent and require a full workflow redesign rather than a direct port.

Is n8n really free?

The self-hosted version is free with no task limits per n8n's site. You pay for your own server, typically $5 to $20/month on a basic VPS. The cloud version starts at $24/month for 2,500 runs per n8n's pricing page.

Which Lindy alternative is best for small teams?

Relay.app or Make for teams of two to ten people. Relay's human approval workflow makes it ideal for agencies and consulting teams. Make gives you control over complex logic without requiring code. Both cost under $30/month for most small team use cases.

Bottom Line

Lindy is a decent starting point for AI agent automation, but it's not the most cost-effective platform once your task volume grows past 400 per month. Make is the better pick if you want visual control over complex logic. n8n wins on price-to-power ratio for teams with a developer available. Zapier wins on integration breadth for non-technical teams. Relay.app is the only right answer if your workflows need human approval steps built in.

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