
Open-source workflow automation with native AI
Based on user reviews
Rating Distribution
by Best AI Tools
We reviewed n8n and appreciate how its visual, node-based workflow editor combines no-code automation with the option to drop into JavaScript/Python nodes and even import npm/Python libraries for custom logic. This makes it particularly useful for building complex, multi-step workflows that connect 500+ apps and LLM providers while still giving developers fine-grained control over data transformation and routing. From a product perspective, exposing more opinionated starter blueprints for common AI-agent patterns (retrieval-augmented generation, human-in-the-loop review, etc.) could help new users move faster while still growing into the full flexibility of the platform.
Anonymous
about 1 month ago
I've been running n8n self-hosted for 3 months now, mainly to automate API integrations between our CRM and Slack. The drag-and-drop editor with real-time previews made debugging a breeze - built a Google Sheets to OpenAI workflow in 20 minutes that filters leads and summarizes them automatically. Compared to Zapier, it's way more flexible with custom JS nodes, and no execution limits on community edition. Honestly, the initial setup took a weekend to tweak Docker, and non-devs might struggle with complex logic. Still, it saves our team hours weekly on repetitive tasks. Solid for technical folks.
Marcus Chen
2 months ago
I've spent about three months integrating n8n into our ops workflow, replacing a mix of Zapier and custom scripts. The drag-and-drop editor is genuinely intuitive for basic stuff, but once you venture into conditional logic or need to chain multiple APIs together, things get complicated fast. The self-hosting option saved us money compared to enterprise SaaS tools, and the 400+ integrations actually work without the constant bugs I dealt with on other platforms. What surprised me most was how reliable the error handling is - workflows just keep running even when something goes wrong upstream. On the flip side, the debugging experience felt clunky initially; you're basically looking at JSON logs to understand what went wrong. The AI node integration with GPT-4 is still rough around the edges. For technical teams with bandwidth to learn the platform, it's genuinely excellent value. For non-technical users? Probably frustrating. We're saving around 15 hours weekly on manual data syncing, which justifies the effort we put into setup.
Marcus Webb
3 months ago
Spent three weeks building custom workflows with n8n. The visual editor works well once you understand it, and self-hosting gave us the control we needed. Comparing to Make, the flexibility is unmatched but setup complexity demands technical expertise. Worth it for serious automation needs.
Marcus Chen
3 months ago
Been running n8n for about 3 months now, mostly handling our lead tracking and Slack integrations. The visual editor is genuinely solid once you get past the initial setup confusion. I love that I can drop in Python code when the prebuilt nodes fall short, and the self-hosting option kept our data compliance team happy. Main gripe? The documentation could be clearer for someone without a dev background. That said, compared to Make, n8n feels more flexible long-term.
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N8N Full Tutorial: Building AI Agents in 2025 for Beginners!
Dr. William Bobos
Based on 4 user reviews and a 4.0/5 rating, Dr. William Bobos recommends n8n for Productivity & Collaboration applications. Dr. William Bobos's expertise in AI tools makes this assessment particularly valuable for software developers seeking Productivity & Collaboration solutions.
Pricing: $0 – $800 / month(Updated January 2026)
Free self-hosted Community Edition, Cloud Starter $20/month (2.5K executions), Pro $50/month (10K executions), additional Pro tiers up to $144/month (50K executions), Business $800/month (self-hosted), Enterprise custom pricing. All plans include unlimited users, workflows, and steps.
Usage Model: API Calls, Pay-as-You-Go — ensuring you only pay for what you actually use.
n8n offers a free tier designed for software developers who want to explore productivity & collaboration without upfront investment. Free users can access core features and get familiar with the platform's capabilities. The paid tiers expand functionality significantly, offering professional-grade productivity & collaboration tools for software developers with more sophisticated needs.
n8n is a flexible, open-source workflow automation platform for technical teams. It features a visual drag-and-drop editor with JavaScript/Python code nodes, 500+ integrations, 1700+ community templates, self-hosting, enterprise security (RBAC, SSO, SAML, LDAP, audit logs), native AI workflows with agents supporting OpenAI, Anthropic Claude, Google Gemini, Hugging Face, Langchain-based multi-agent systems, RAG, advanced debugging (inline logs, data replay), real-time visualization, performance insights, Git control, and scalability up to 220 executions/second. Version 2.0 adds autosave, modern canvas, and optimizations.
Understanding the core functionality and approach of n8n.
n8n integrates directly into your development workflow via API and IDE extensions. Code suggestions, refactoring, and debugging happen where you already work. Integrations with Plugin/Integration keep work connected.
Explore the powerful features that make n8n stand out.
n8n understands context across files, making suggestions that fit your codebase. JavaScript/TypeScript
Multi-platform support ensures everyone can use n8n regardless of their device preference. Available across Web App, Desktop App, and CLI Tool for consistent adoption.
Rate limits and authentication are clearly documented for smooth implementation. Automation handles the repetitive work so teams can focus on strategy.
Developers get client libraries that smooth integration work.
Automation frees time for strategic initiatives while maintaining consistency. Automation handles the repetitive work so teams can focus on strategy.
Discover how different audiences leverage n8n for their specific needs.
Generate unit tests, documentation, and API clients automatically from existing code. Automation handles the repetitive work so teams can focus on strategy.
Engineering keeps ownership of customization while leveraging managed AI capabilities. Automation handles the repetitive work so teams can focus on strategy.
Stakeholder alignment happens faster when everyone sees the same data and insights.
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Use this page as a starting point to evaluate n8n alongside similar options. Our directory focuses on practical details that matter for adoption—capabilities, pricing signals, integrations, and real audiences—so you can shortlist with confidence and move from exploration to evaluation faster.
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