n8n: Self-Hostable Workflow Automation & AI Agent Orchestrator

Self-hosted workflow automation platform with 400+ native integrations, visual node-based graph editor, custom JavaScript/Python execution, and native LangChain AI agent nodes.

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94.2kSustainable Use LicenseTypeScriptUpdated Today

GitHub

Hardware Pre-Flight Check

Verify your system meets runtime requirements before setup

Verified Specs

System RAM2 GB MinRec: 4 GB

GPU VRAMCPU OnlyNo GPU Required

Free Storage~5 GBFast SSD Recommended

Accelerators

CPU

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Local Hardware Compatibility Checker

Instantly verify if frontier models run on your local PC or laptop.

Experience Mode:Quick & SimpleSynced with Site (Standard)

Streamlined view with essential inputs, clear verdicts, and zero cognitive overload.

1. Select Target Open-Weights Model16 Models Available

2. Select Your Machine / Hardware RigSelected: RTX 3060 / 4070 Desktop (12GB VRAM / 32GB RAM)

Full GPU Acceleration (Peak Performance)

Compatibility & Speed Analysis

Can Run Smoothly

Your setup (12 GB VRAM + 32 GB RAM) will load all 48 layers of Qwen 2.5 Coder 14B (Q4_K_M) into GPU VRAM. You will experience optimal autoregressive generation without bottlenecks.

Estimated Generation Speed

Full GPU execution on dedicated GDDR6/GDDR7 VRAM (~450 GB/s). Zero PCIe bus latency.

~38 tok/s

Autoregressive throughput

Advanced Quantization, Sequence Length & Custom Memory Controls▼

Quantization Level4.5 bpw (~9 GB)

Outstanding coding speed on RTX 4070 (12GB)

Context Sequence Length8k tokens (+0.67 GB KV)

KV-Cache memory scales linearly with prompt length and concurrent generation tokens.

Dedicated GPU VRAM

High-bandwidth GDDR6/GDDR7 or Unified memory

12 GB

System RAM

Main DDR4 / DDR5 system memory pool

32 GB

Apple Silicon Architecture (Unified Memory pool shared between CPU & Metal GPU)

Layer Allocation: 48 GPU / 0 CPUTotal: 48 Transformer Layers

48 GPU

GPU VRAM: 10.5 GB / 12 GBRAM Needed: 3.5 GB / 32 GB

Model Weight: 9 GB

1-Click Ollama Run Command

Configured for your exact hardware

$ ollama run qwen2.5-coder:14b

3-Tier Audience Playbook

Actionable guidance tailored to your technical workflow

3 Experience Levels

Beginner Quickstart

Spin up with a single Docker command. Use pre-built workflow templates to connect webhooks, Google Sheets, and Slack alerts visually without writing code.

Intermediate Production

Configure PostgreSQL persistence, set up production webhooks behind a reverse proxy (Caddy/Nginx), and write custom JavaScript functions in Code nodes.

Advanced Scaling

Deploy in queue mode with Redis and multi-worker execution, build custom node packages in TypeScript, and orchestrate autonomous LangChain AI agents.

What is n8n?

n8n is an extendable workflow automation tool that balances visual node-based configuration with raw code execution. Unlike cloud-only automation platforms that charge per task, n8n is fair-code licensed and can be self-hosted on private servers or local workstations without artificial execution caps.

It features over 400 pre-built connectors for popular SaaS APIs, native database drivers, generic HTTP/REST nodes, and dedicated AI Agent components powered by LangChain.

Architectural Capabilities

Hybrid Visual & Code Flow: Connect nodes with drag-and-drop links while retaining the ability to transform intermediate payloads via full JavaScript or Python expressions.
Native AI Agent Nodes: Build autonomous agents using ReAct loops, vector store memories (Qdrant, Pinecone, pgvector), and custom LLM tool calls.
Enterprise Queue Architecture: Scale from a single hobby instance to distributed production clusters using Redis queues and horizontal worker pools.
Secure Self-Hosting: Keeps all credentials, webhook payloads, and sensitive customer data entirely within your private infrastructure.

Quickstart & Docker Compose

1. Single Command Docker Run

docker run -d \
  --name n8n \
  -p 5678:5678 \
  -v n8n_data:/home/node/.n8n \
  --restart unless-stopped \
  n8nio/n8n:latest

Access the visual canvas at http://localhost:5678.

2. Production Docker Compose with PostgreSQL

version: '3.8'

services:
  postgres:
    image: postgres:16-alpine
    restart: always
    environment:
      POSTGRES_USER: n8n
      POSTGRES_PASSWORD: n8n_secure_password
      POSTGRES_DB: n8n
    volumes:
      - postgres_storage:/var/lib/postgresql/data

  n8n:
    image: n8nio/n8n:latest
    restart: always
    ports:
      - "5678:5678"
    environment:
      - DB_TYPE=postgresdb
      - DB_POSTGRESDB_HOST=postgres
      - DB_POSTGRESDB_PORT=5432
      - DB_POSTGRESDB_DATABASE=n8n
      - DB_POSTGRESDB_USER=n8n
      - DB_POSTGRESDB_PASSWORD=n8n_secure_password
      - N8N_ENCRYPTION_KEY=replace_with_a_random_32_char_hex_key
      - WEBHOOK_URL=https://automation.yourdomain.com/
    volumes:
      - n8n_storage:/home/node/.n8n
    depends_on:
      - postgres

volumes:
  postgres_storage:
  n8n_storage:

Objective Alternatives & Tradeoffs Matrix

Head-to-head comparison without vendor bias or dismissal

Zapier• Self-hosted data privacy & unlimited workflow executions vs proprietary managed SaaS

Project Link↗

✓ Choose n8n if:

You want to keep sensitive internal data on your own servers and execute millions of tasks without per-step fees.

⚖ Choose Zapier if:

You need a zero-maintenance SaaS where someone else handles server uptime and infrastructure.

Activepieces• Feature maturity and AI agent capabilities vs lightweight MIT codebase

Project Link↗

✓ Choose n8n if:

You need advanced LangChain agent integration, complex sub-workflows, and enterprise queue mode.

⚖ Choose Activepieces if:

You prefer an ultra-minimalist MIT-licensed automation framework.

Common Production Pitfalls & Gotchas

Battle-tested solutions for frequent setup errors and bottlenecks

SQLite database locking errors under high concurrent webhook load

Tested Fix:Migrate to an external PostgreSQL database by setting DB_TYPE=postgresdb and configuring host credentials.

Workflows lost when Docker container restarts

Tested Fix:Mount a persistent volume to /home/node/.n8n (e.g. -v n8n_data:/home/node/.n8n) so credentials and workflows survive container updates.

Webhook triggers failing behind HTTPS reverse proxies

Tested Fix:Set the WEBHOOK_URL environment variable to your public HTTPS domain (e.g. WEBHOOK_URL=https://n8n.yourdomain.com/).

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