Automatizaciones locales: n8n y Ollama

Stack docker-compose para automatizar con una IA local: n8n (flujos) y Ollama (modelo), sin enviar datos a una API externa.

Access Medium

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

Services

• n8n: editor de flujos de trabajo
• Ollama: modelo local, accesible en http://ollama:11434

Ports : 5678 (n8n)

1. docker compose up -d 2. docker compose exec ollama ollama pull mistral 3. Abre http://localhost:5678; en los nodos Ollama de n8n, usa la dirección 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=Europe/Madrid
    volumes:
      - n8n:/home/node/.n8n
    ports:
      - "5678:5678"

volumes:
  ollama:
  n8n:

Estimated cost

Input tokens per call : ≈ 271

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--automatizaciones-locales-n8n-ollama

Type

Stacks

File

docker-compose.yml

Format

YML

Size

296 bytes

Encoding

UTF-8

Estimated tokens

≈ 82

Language

Spanish

License

MIT

Commercial use

Allowed

Personal data

None

Version

1.0

Published on

October 3, 2026 at 5:20 AM

Updated on

October 3, 2026 at 5:20 AM

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=Europe/Madrid
    volumes:
      - n8n:/home/node/.n8n
    ports:
      - "5678:5678"

volumes:
  ollama:
  n8n:

Launch

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