YAML Metadata Warning: empty or missing yaml metadata in repo card
Check out the documentation for more information.
Director.AI
Faceless video creation platform powered by real AI CLI integration. Built with React, TypeScript, Express, MongoDB, and Socket.IO.
Quick Setup Tutorial
Follow these steps to get Director.AI running on your local machine.
1. Clone the Repository
git clone https://huggingface.co/algorembrant/1st-hackaton
cd 1st-hackaton
2. Install MongoDB and Compass
- Download MongoDB Community Server: Visit the MongoDB Download Center and download the MSI installer for Windows.
- Install: Run the installer and ensure "Install MongoDB as a Service" is checked.
- MongoDB Compass: During installation, check the box to install MongoDB Compass (the GUI for managing your data).
- Verify: Open MongoDB Compass and connect to
mongodb://localhost:27017.
3. Environment Configuration
Create a
.envfile in the root directory by copying the example:cp .env.example .envOpen
.envand fill in the following:MONGODB_URI:mongodb://localhost:27017/director-aiPORT:5000JWT_SECRET: Any random long stringREDIS_URL:redis://localhost:6379(If using Redis features)
or simply just tell you AI agent to configure things for you.
4. Install Dependencies
npm install
5. Running the Application
- Server:
cd server && npm run dev - Client:
cd client && npm run dev - Both: From the root, run
npm run dev.
Overview
Director.AI allows users to input scripts, customize voices, music, visual styles, and assets, then generate optimized faceless videos for social platforms (TikTok, Reels, Shorts, YouTube).
The application features a novel real-time AI Terminal that directly bridges the webapp to the Google Antigravity CLI, streaming output via WebSocketβno simulations, no mocks.
Key Features
- AI Terminal: Real-time CLI bridge via WebSocketβtype prompts in the webapp, get live output from the Antigravity CLI.
- 5-Step Video Wizard: Script, Voice, Music, Style, Assets β Generate.
- Multi-Platform Export: 9:16 (TikTok/Reels/Shorts), 16:9 (YouTube), 1:1 (Instagram).
- JWT Authentication: Secure register/login with bcrypt hashing.
- Luxury Dark Theme: Gold accents, Playfair Display + Montserrat, glassmorphism, Framer Motion animations.
- Style Presets: Save and reuse brand configurations.
- File Upload: Multer with 100MB limit and file type filtering.
- Admin Dashboard: Queue monitoring and stats overview.
System Architecture
graph TD
A["User Browser"] -->|HTTP + WebSocket| B["Express Server :5000"]
B -->|Mongoose| C[MongoDB]
B -->|Socket.IO| D["WebSocket Layer"]
D -->|child_process.spawn| E["Antigravity CLI"]
E -->|stdout/stderr stream| D
D -->|Real-time output| A
B -->|Multer| F["File Storage /uploads"]
B -->|"Generated"| G["/generated"]
subgraph Frontend [":5173"]
H["React + TypeScript"]
I["Redux Toolkit"]
J["Framer Motion"]
K["Tailwind CSS"]
L["AI Terminal Component"]
end
subgraph Backend [":5000"]
M["JWT Auth"]
N["REST API Routes"]
O["CLI Bridge Service"]
P["Rate Limiting + Helmet"]
end
A --> H
H --> I
H --> L
L -->|Socket.IO Client| D
Project Structure
1st-hackaton/
βββ .env.example
βββ .gitignore
βββ package.json
βββ prompt.md
βββ README.md
βββ server/
β βββ src/
β β βββ index.ts # Main Entry
β β βββ config/ # Database & App Config
β β βββ models/ # Mongoose Schemas
β β βββ routes/ # API Endpoints
β β βββ services/ # Business Logic
β β βββ utils/ # Helpers
β βββ tsconfig.json
βββ client/
βββ src/
β βββ components/ # UI Building Blocks
β βββ pages/ # Main Views
β βββ services/ # API Integration
β βββ store/ # Redux State Management
βββ vite.config.ts
βββ tailwind.config.js
Hugging Face Deployment
This project is optimized for deployment on Hugging Face.
- Repository: https://huggingface.co/algorembrant/1st-hackaton
- Author Profile: https://huggingface.co/algorembrant
Large assets or binary files should be handled via Xet Storage or Git LFS to ensure optimal performance on Hugging Face.
Author
Rembrant Oyangoren Albeos
- Hugging Face: @algorembrant
License
MIT License | Β© 2026 Rembrant Oyangoren Albeos