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How to self-host Dify with Docker Compose with Dify

Copy the env file, start the stack, and finish setup in the browser.

Short answer: Clone the repo, then cd dify and cd docker; then run cp .env.example .env; start it with docker compose up -d. All steps.

Credentials. Model provider keys are stored in the Dify instance; restrict access before sharing it.

Who it is forA team that wants an LLM app platform on its own server for data control.

The problemBuilding chat, RAG and workflow plumbing from scratch takes weeks.

The outcomeA running Dify dashboard at localhost/install where you create the admin account.

What you need first

  • Docker and Docker Compose v2.24.0 or later for self-hosting
  • A machine with at least 2 CPU cores and 4 GiB RAM
  • API keys for the model providers you use

Steps

  1. Clone the repo, then cd dify and cd docker
  2. Run cp .env.example .env
  3. Start it with docker compose up -d
  4. Open http://localhost/install and complete initialization
  5. Add your model provider keys in settings

Prompt for your agent

Self-host langgenius/dify with Docker Compose on this server, confirm all containers are healthy, and tell me which values in .env I should change before exposing it to my team.

Caveat.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for langgenius/dify and "Self-host Dify with Docker Compose"

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claude mcp add --transport http deduped https://dedupedai.com/mcp

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