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Quick Start

This guide walks you through installing Renku, running onboarding with renku launch, and picking your first blueprint.

PlatformRecommended setupNotes
macOS (Apple Silicon)CLI + browser viewerFull onboarding and UI workflow
macOS (Intel)CLI + browser viewerFull onboarding and UI workflow
LinuxCLI + browser viewerFull onboarding and UI workflow
WindowsCLI + browser viewer (WSL2)Use a Linux distro in WSL2

Choose your path from the Install Page.

  1. Install Renku CLI globally:
Terminal window
npm install -g @gorenku/cli
  1. Launch Renku UI flow:
Terminal window
renku launch

If your CLI config does not exist yet (for example ~/.config/renku/cli-config.json is missing), Renku automatically opens the onboarding wizard instead of failing.

When you open Renku for the first time, a five-step wizard walks you through the essential configuration.

The welcome screen introduces Renku and shows how many steps remain. Click Next to begin.

Choose a folder where Renku will store your blueprints, generated artifacts, and build outputs. You can type a path directly or click Browse to pick one. This folder becomes your workspace root. Renku will also copy the catalog of built-in blueprints, and supported models definitions in this folder.

Step 3 — API Keys - Media Generation Providers

Section titled “Step 3 — API Keys - Media Generation Providers”

Select at least one media-generation provider and enter its API key. Available providers:

ProviderWhat it doesKey name
fal.aiAudio, Image, Video generationFAL_KEY
ReplicateAudio, Image, Video generationREPLICATE_API_TOKEN
ElevenLabsAI voice and audio generationELEVENLABS_API_KEY

Each provider card has a Get API key link that takes you to the provider’s dashboard where you can create a key.

Select at least one prompt/LLM provider and enter its API key:

ProviderWhat it doesKey name
OpenAILLM models for story board and prompt generationOPENAI_API_KEY
Vercel AI GatewayUnified gateway to Claude, Gemini, and open-source modelsAI_GATEWAY_API_KEY

Click Finish to save your configuration. The app stores your API keys locally in ~/.config/renku/.env.

A summary screen confirms your workspace path and lists every provider you configured. Click Open Renku Home to enter the app.

After onboarding you land on the home screen, which shows the blueprint library — a collection of ready-made video generation workflows.

Renku home screen showing the blueprint library
Renku home screen showing the blueprint library

Browse the library and select a blueprint to get started. Each blueprint defines a complete video generation workflow — from storyboard generation through media creation to final composition.

The built-in library is a great starting point, but you can also create your own blueprints from scratch.

The fastest way to create custom blueprints is through AI coding assistants. Tools like Claude Code, OpenAI Codex, and OpenCode can generate Renku blueprints for you when you add the Renku skill to your assistant. The skill teaches the AI how to structure blueprints, which producers are available, and how to wire everything together.

See the Using Skills guide for setup instructions.

If you prefer full control, you can author blueprint YAML files by hand. Blueprints are declarative — you define inputs, producers, connections, and loops in a structured format.

See the Blueprint Authoring guide for the complete reference.