Lindy vs n8n vs Relevance AI: I Tested All 3 So You Don’t Have To | Lindy
Lindy vs n8n vs Relevance AI: I Tested All 3 So You Don’t Have To
Written by
Jack Jundanian
Personally Tested
GM of New Verticals
Jack tested Lindy, n8n, and Relevance AI head-to-head, comparing automation depth, integrations, ease of use, and pricing to find the best fit for teams.
Jack Jundanian
GM of New Verticals
Jack is GM of New Verticals at Lindy, where he’s focused on exploring how AI agents can be applied to new industries and niche problems alike.
Reviewed by Lindy Drope, Founding GTM at Lindy
Lindy Drope
Founding GTM at Lindy
Lindy leads GTM at Lindy and is the team’s most prolific automation builder. She publishes weekly educational videos and articles on building AI assistants – And yes, she’s a real person!
Last Updated: December 6, 2025
Table of contents
- At a Glance
- Key Differences
- Feature Breakdown
- AI Agents and Automation Depth
- Integrations and Ecosystem
- Ease of Use and Learning Curve
- Pricing and Scalability
- Pros and Cons
- Which Tool Should You Choose?
- FAQs
I tested Lindy, n8n, and Relevance AI by building real automations across all three platforms. After weeks of hands-on work, Lindy is the clear winner if you want AI-first automation that handles agents, workflows, and integrations in one place. Here's what I learned so you can pick the right tool without wasting time.
Lindy vs n8N vs Relevance AI: At a Glance
| Tool | Best For | Starting Price | Unique Strength | Key Limitation |
|---|---|---|---|---|
| Lindy | AI-first automation across agents, workflows, knowledge, and integrations | Free plan available | Complete agent plus workflow system that handles reasoning and execution in one place | The integration library is still expanding |
| n8n | Visual workflow automation and detailed API integrations | Free self-hosting, paid cloud plans | Full control with hundreds of integrations and custom logic | AI features require manual setup and more maintenance |
| Relevance AI | LLM-driven agents and vector workflows | Free tier, usage-based relevance AI pricing | Fast creation of specialist agents with built-in knowledge and skills | Limited support for long or multi-step workflows |
Choose Lindy if…
You want one place to build and run your AI agents and workflows. It reduces setup time, avoids extra tools, and stays reliable as you scale.
Choose n8n if…
You want a visual builder with lots of integrations and don’t mind adding AI manually.
Choose Relevance AI if…
Your work depends on LLM tasks like research, analysis, or retrieval. It’s good for quick agent experiments and knowledge-heavy jobs.
What’s the Difference Between Lindy, n8n, and Relevance?
After testing all three for real projects, the biggest learning was that each tool solves a slightly different problem.
Lindy: The AI-First Automation Platform
Lindy is designed for teams that want AI agents and automation in one place.
n8n: Open, Visual Workflow Automation
n8n is the strongest when you need classic workflow automation.
Relevance AI: Low-Code LLM Agent Builder
Relevance AI is best when your main goal is to build LLM agents or RAG-style assistants.
Lindy vs n8n vs Relevance AI: Feature Breakdown
Lindy gives you end-to-end AI agents that can read, decide, and act across your tools; n8n offers a visual workflow builder with fine-grained control over every step; and Relevance AI specializes in agents that analyze, search, and summarize information with minimal setup.
AI Agents and Automation Depth
Lindy
In many teams, one task spans several steps: reading an email, checking the CRM, opening a document, updating a system, and sending a reply. In Lindy, a single agent handles that entire flow.
n8n
With n8n, you design the full life cycle of an AI-driven process yourself.
Relevance AI
Relevance AI works well when the main job is thinking through information.
Integrations and Ecosystem
Lindy
Lindy is designed so agents can work directly inside the tools you already use.
n8n
With n8n, integrations work as building blocks.
Relevance AI
Relevance AI treats integrations as a way to give agents more context and actions.
Ease of Use and Learning Curve
Lindy
When I worked with Lindy, the learning curve felt short because most of the setup happens in plain language.
n8n
n8n takes more time to learn, especially if you want to use it for AI work.
Relevance AI
Relevance AI is easy to start with if you are building focused agents.
Pricing and Scalability
Lindy
With Lindy, costs follow a clear pattern. There is a free plan, and you pay based on agents and work, starting from $ 49.99/month.
n8n
n8n’s pricing structure is built around workflow executions.
Relevance AI
Relevance AI charges based on how many actions your agents perform.
What Users Like (and Don’t Like) About Lindy, n8n, and Relevance AI
| Tool | What Users Like | What Users Don’t Like |
|---|---|---|
| Lindy | Simple to set up | Some niche integrations need custom connectors |
| n8n | Strong control over logic | More manual setup |
| Relevance AI | Easy to build focused agents | Longer workflows need more effort |
Lindy vs n8n vs Relevance: Which Tool Should You Choose?
Choosing between these three tools is easier once you match them to the type of work you want to automate.
Choose Lindy if you want automation that is ready to use with minimal setup
Lindy is the best fit when you want an agent to understand a task and complete it from start to finish.
Choose n8n if you want full control and do not mind configuring everything yourself
n8n fits teams that like to design workflows step by step.
Choose Relevance AI if your work depends on interpretation or analysis
Relevance AI works well for tasks that involve research, summarization, information extraction, or knowledge retrieval.
Summary
- If your priority is to automate end-to-end work with the least amount of effort, choose Lindy.
- If you want complete control over large workflows, choose n8n.
- If you want fast agent creation for interpretation or research tasks, choose Relevance AI.
FAQs
1. Is Relevance AI better than n8n for automation?
Relevance AI is better than n8n if your automation depends on LLM reasoning, research tasks, or knowledge-driven work.
2. What is the main difference between Relevance AI and n8n?
The main difference between Relevance AI and n8n is that Relevance focuses on building LLM agents, while n8n focuses on detailed workflow automation.
3. How does Lindy compare to n8n for automation workflows?
Lindy compares well to n8n for automation workflows because Lindy combines reasoning and execution inside one system.
4. Does Relevance AI integrate with n8n?
Yes. Relevance AI can integrate with n8n through webhooks, API calls, and triggers.
5. Is Lindy an alternative to n8n?
Yes. Lindy is a strong alternative to n8n because it handles both agent reasoning and workflow execution in one platform.
6. Which platform is best for AI-powered automation in 2025?
Lindy is the best platform for AI-powered automation in 2025 because it handles reasoning, actions, workflows, memory, and integrations in one place.