An open-source platform for all your creative work.

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Features

• S3-Compatible & Local Storage: Securely store and serve your creative assets using a local filesystem or any S3-compatible cloud storage (AWS S3, Cloudflare R2, MinIO, etc.).
• Frame-by-Frame Annotations & Comments: Give precise feedback using frame-specific drawing tools and timestamped comments directly on video and image assets.
• Secure Sharing & Collections: Create secure public share links and curated media collections to collaborate with clients and stakeholders.
• Granular Access Control: Manage workspace permissions using team-level and project-level role-based access controls.
• Distributed Transcoding via Temporal: Offload resource-heavy video transcoding to a background worker pool orchestrated by Temporal.
• Custom Asset Metadata: Define and customize dynamic metadata fields tailored to your production pipeline.

Shumai Agent

• Collaborative AI Chat: Converse with a context-aware AI agent directly within your project workspace.
• Custom Skills & Tools: Extend the agent's capabilities by registering custom scripts, tools, and automation skills.
• Isolated Sandbox Execution: Run agent-submitted scripts securely within a sandboxed environment.
• AI-Powered Metadata Autofill: Automatically generate tags, descriptions, and custom metadata for new assets using Google Gemini.
• Semantic Search: Locate assets instantly based on visual or conceptual search queries using vector embeddings.

Installation

Below is a quickstart guide for running Shumai with local storage. For advanced configuration options (including S3-compatible storage and Temporal workflow orchestration), see our Documentation.

Option 1: Docker Compose

Docker Compose is the fastest way to get Shumai running. You do not need to clone the repository or install packages manually. Ensure you have Docker and Docker Compose installed, then follow these steps:

1. Create and navigate to a new directory for your configuration and data volumes:

   mkdir shumai && cd shumai

2. Download the docker-compose.yaml file:

   curl -o docker-compose.yaml https://raw.githubusercontent.com/shumaiOne/shumai/main/docker-compose/local/docker-compose.yaml

3. Configure Environment Variables (Remote Deployments only): If deploying Shumai to a remote server (e.g., AWS EC2, VPS), edit docker-compose.yaml and add AWS_ENDPOINT_URL_S3 under the environment section, setting it to your server's public IP address or domain name (e.g., http://12.34.56.78).
4. Start the services in detached mode:
5. Open your browser and access Shumai at http://localhost:3000 (or http://<your-server-ip>:3000 for remote deployments).

Option 2: Install via NPM / Package Manager

Shumai is published as @shumai-one/shumai on NPM. This option allows you to run Shumai globally or locally.

Step 1: Start PostgreSQL with pgvector

Shumai requires PostgreSQL with the pgvector extension. Start a pre-configured database container using Docker:

docker run --name shumai_postgres \
  -e POSTGRES_USER=shumai \
  -e POSTGRES_PASSWORD=shumai_password \
  -e POSTGRES_DB=shumai_db \
  -p 5432:5432 \
  -d pgvector/pgvector:pg18

Step 2: Create a workspace folder

Create a dedicated directory to store your environment configuration and media files (which are saved in a ./data directory by default):

mkdir shumai && cd shumai

Step 3: Install Platform-Specific Dependencies

Make sure the following system dependencies are installed on your host machine before installing Shumai:

sudo sysctl -w kernel.apparmor_restrict_unprivileged_userns=0

Step 4: Install Shumai globally

Install Shumai globally using your preferred package manager:

# NPM
npm install -g @shumai-one/shumai

# PNPM
pnpm add -g @shumai-one/shumai

# Bun
bun add -g @shumai-one/shumai

Step 5: Configure Environment Variables

Create a .env file in your workspace folder (shumai/) and add the following configuration:

DATABASE_URL=postgresql://shumai:shumai_password@localhost:5432/shumai_db?schema=public
BETTER_AUTH_SECRET=ySxs7DxzHDZBbeeHNPEwBuspYwipBqz5Gk5XdBjNhWw=
STORAGE_BACKEND=local
SHUMAI_SERVER_PORT=3000
AWS_ENDPOINT_URL_S3=http://localhost

Step 6: Run Shumai

Start the application from your workspace folder:

Alternatively, you can run and manage Shumai in daemon mode:

• Start in daemon mode:
• Stop Shumai:
• Restart Shumai:
• Show/tail logs:

On startup, Shumai will automatically run database migrations and start the web server at http://localhost:3000.

Option 3: Run from Source (Development)

To set up Shumai locally for development:

1. Clone the repository and install dependencies:

   git clone https://github.com/shumaiOne/shumai.git
   cd shumai
   bun install

2. Start the pgvector database container (as described in Option 2, Step 1).
3. Create a .env file at the root of the workspace using the configuration from Option 2, Step 5.
4. Apply the database schema migrations:
5. Start the local development server:

Command Line Interface (CLI)

Shumai provides a Command Line Interface (CLI) tool to manage projects, folders, and assets, upload files/folders, and create new versions directly from your terminal.

For more details on installation and usage, see the CLI Readme.