--- name: "Use Dify for production agentic workflow apps" slug: "use-dify-for-production-agentic-workflow-apps" description: "Build, test, and operate agentic workflow apps in Dify when an operator needs a governed path from prototype to production." github_stars: 143727 verification: "security_reviewed" source: "https://github.com/langgenius/dify" author: "langgenius" publisher_type: "organization" category: "Templates & Workflows" framework: "Multi-Framework" tool_ecosystem: github_repo: "langgenius/dify" github_stars: 143727 --- # Use Dify for production agentic workflow apps Build, test, and operate agentic workflow apps in Dify when an operator needs a governed path from prototype to production. ## Prerequisites Docker, Docker Compose, Dify workspace, model provider credentials, optional observability integrations ## Installation Use the upstream install or setup path that matches your environment: - docker compose up -d - If you need to customize the configuration, edit docker/.env. The essential startup defaults live in [docker/.env.example](docker/.env.example), and optional advanced variables are split under docker/envs/ by theme. A... Requirements and caveats from upstream: - - Docker Pulls - The easiest way to start the Dify server is through [Docker Compose](docker/docker-compose.yaml). Before running Dify with the following commands, make sure that [Docker](https://docs.docker.com/get-docker/) and [Dock... Basic usage or getting-started notes: - Before installing Dify, make sure your machine meets the following minimum system requirements: - CPU >= 2 Core - RAM >= 4 GiB - Source: https://github.com/langgenius/dify - Extracted from upstream docs: https://raw.githubusercontent.com/langgenius/dify/HEAD/README.md ## Documentation - https://docs.dify.ai ## Source - [Agent Skill Exchange](https://agentskillexchange.com/skills/use-dify-for-production-agentic-workflow-apps/)