Local automations: n8n and Ollama

docker-compose stack to automate with a local AI: n8n (workflows) and Ollama (model), without sending data to an external API.

Access Medium

• ✓ Read files or data
• ✓ Modify or delete files
• ✓ Send data over the internet
• — Run commands on the machine : No

Services

• n8n: workflow editor
• Ollama: local model, reachable at http://ollama:11434

Ports : 5678 (n8n)

1. docker compose up -d 2. docker compose exec ollama ollama pull llama3.1 3. Open http://localhost:5678; in n8n's Ollama nodes, use the address http://ollama:11434.

docker-compose.yml

services:
  ollama:
    image: ollama/ollama
    volumes:
      - ollama:/root/.ollama

  n8n:
    image: n8nio/n8n
    depends_on: [ollama]
    environment:
      - GENERIC_TIMEZONE=America/New_York
    volumes:
      - n8n:/home/node/.n8n
    ports:
      - "5678:5678"

volumes:
  ollama:
  n8n:

Estimated cost

Input tokens per call : ≈ 266

Input cost only, excluding the model's answer. Providers' public standard prices (Mistral AI, DeepSeek, OpenAI, Anthropic) converted from USD to euros at the ECB rate of September 29, 2026. Estimate: 1 token ≈ 3.6 characters.

Identifier

contextetech--local-automations-n8n-ollama

Type

Stacks

File

docker-compose.yml

Format

YML

Size

299 bytes

Encoding

UTF-8

Estimated tokens

≈ 83

Language

English

License

MIT

Commercial use

Allowed

Personal data

None

Version

1.0

Published on

October 2, 2026 at 9:54 PM

Updated on

October 2, 2026 at 9:54 PM

Storage

in database

Uses

0

Likes

0

docker-compose.yml

services:
  ollama:
    image: ollama/ollama
    volumes:
      - ollama:/root/.ollama

  n8n:
    image: n8nio/n8n
    depends_on: [ollama]
    environment:
      - GENERIC_TIMEZONE=America/New_York
    volumes:
      - n8n:/home/node/.n8n
    ports:
      - "5678:5678"

volumes:
  ollama:
  n8n:

Launch

# enregistrez docker-compose.yml, puis :
docker compose up -d
docker compose ps