N8n — AI Agent Framework: Live Stats & TrendScore

Live GitHub stats, community sentiment, and trend data for N8n. TrendingBots tracks star velocity, fork activity, and what developers are saying — updated from real data sources.

GitHub data synced: May 4, 2026 • Sentiment updated: Apr 11, 2026

GitHub Statistics

Community Sentiment

Community Buzz: I recently heard the comparison that AI is the smartphone of our generation. Smartphones made smartphones made everything easier, and now AI is making everything easier

Pros & Cons

What People Love

n8n workflow automation, AI integration, ease of use

Common Complaints

n8n loading issues, workflow execution errors

Biggest Positive: n8n workflow automation

Biggest Negative: n8n loading issues

Why N8n Stands Out

n8n stands out from alternative automation platforms with its unique combination of visual building, custom code capabilities, and native AI support. The fair-code license and self-hosting options provide users with full control over their data and deployments, making it an attractive choice for enterprises and individuals alike. By leveraging LangChain and providing 400+ integrations, n8n enables users to build complex workflows with ease. The platform's focus on flexibility and customizability has solved the problem of rigid automation workflows, allowing users to adapt n8n to their specific needs.

Built With

Build an automated workflow for data processing — n8n's 400+ integrations enable seamless data transfer between different services, Build a custom AI agent for task automation — n8n's native AI capabilities and LangChain support allow for advanced workflow automation, Build a self-hosted automation platform — n8n's fair-code license and self-hosting capabilities provide full control over data and deployments, Build a workflow for integrating multiple APIs — n8n's visual interface and custom code capabilities make it easy to combine different APIs and services, Build an enterprise-ready automation solution — n8n's advanced permissions, SSO, and air-gapped deployments make it suitable for large-scale automation needs

Getting Started

  1. Install n8n using the command `npx n8n`
  2. Deploy n8n using Docker with the command `docker run -it --rm --name n8n -p 5678:5678 -v n8n_data:/home/node/.n8n docker.n8n.io/n8nio/n8n`
  3. Access the n8n editor at `http://localhost:5678`
  4. Configure your workflow by adding nodes and connecting them
  5. Try building a simple workflow using the visual interface to verify it works

About

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

Official site: https://n8n.io

Category & Tags

Category: data

Tags: ai, apis, automation, cli, data-flow, development, integration-framework, integrations, ipaas, low-code, low-code-platform, mcp, mcp-client, mcp-server, n8n, no-code, self-hosted, typescript, workflow, workflow-automation

Market Context

n8n is a workflow automation platform competing with other platforms like Flowise and Dify