GitHub - shumaiOne/shumai: Open source alternative to Frame.io

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 by using @mentions directly within the file's comments area.
• 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 Metadata Autofill: Automatically autofill custom metadata for new assets.
• Semantic Search: Find assets based on visual or conceptual search queries using vector embeddings(Gemini Embedding 2).

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 (optional):

   • SHUMAI_SERVER_PORT controls the port the Shumai server listens on. The default is 3000.

   • By default, Shumai uses the bundled local storage service in this Docker Compose setup. To use an external S3-compatible storage instead, configure the environment variables for your S3 provider. Here are examples for AWS S3 and Cloudflare R2:

     AWS S3 Example:

     STORAGE_BACKEND: s3
     S3_BUCKET: your-bucket-name
     S3_ACCESS_KEY_ID: your-access-key-id
     S3_SECRET_ACCESS_KEY: your-secret-access-key
     AWS_ENDPOINT_URL_S3: https://s3.us-east-1.amazonaws.com

     Cloudflare R2 Example:

     STORAGE_BACKEND: s3
     S3_BUCKET: your-bucket-name
     S3_REGION: auto
     S3_ACCESS_KEY_ID: your-access-key-id
     S3_SECRET_ACCESS_KEY: your-secret-access-key
     AWS_ENDPOINT_URL_S3: https://<account-id>.r2.cloudflarestorage.com

   • By default, AWS_ENDPOINT_URL_S3 is set to: http://localhost:{SHUMAI_SERVER_PORT}, if you use local storage and expose Shumai on a custom host/port combination, set AWS_ENDPOINT_URL_S3 to the external URL that browsers will use to upload files.

     For example, if you change the port mapping in docker-compose.yaml from 3000:3000 to 12345:3000 and deploy on a server with IP address 12.34.56.78, set:

     AWS_ENDPOINT_URL_S3: http://12.34.56.78:12345
     

     This value must be reachable from client browsers and should include the externally exposed port.

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

Linux

Shumai requires the following system packages on Linux:

• ffmpeg – Used for media transcoding and metadata extraction.
• bubblewrap, socat, and ripgrep – Required by the AI agent sandbox (anthropic-experimental/sandbox-runtime) for process isolation, networking, and workspace search.

Install all required packages with one command:

Ubuntu/Debian

sudo apt install -y ffmpeg bubblewrap socat ripgrep

Fedora

sudo dnf install -y ffmpeg bubblewrap socat ripgrep

Arch Linux

sudo pacman -S --noconfirm ffmpeg bubblewrap socat ripgrep

sudo sysctl -w kernel.apparmor_restrict_unprivileged_userns=0

macOS

Shumai requires:

• ffmpeg – Used for media transcoding and metadata extraction.
• ripgrep – Required by the AI agent sandbox (anthropic-experimental/sandbox-runtime).

Install the required packages with Homebrew:

brew install ffmpeg ripgrep

Windows (alpha)

Shumai requires:

• ffmpeg – Used for media transcoding and metadata extraction.

Install ffmpeg using your preferred package manager:

winget

winget install Gyan.FFmpeg

Chocolatey

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:3000

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.