OpenUser - Intelligent Digital Human System

OpenUser is an intelligent digital human system that enables users to create personalized AI avatars with their own voice, images, and videos. The system features hot-reloadable plugins, self-evolving AI agents, scheduled tasks, and multi-platform integrations.

✨ Key Features

🎭 Digital Human Creation

• Voice Cloning: Upload your voice samples to create a personalized TTS model
• Face Animation: Generate talking head videos from a single image
• Video Generation: Create full-body digital human videos
• Real-time Rendering: Live digital human interaction

🔌 Hot-Reload Plugin System

• Install/update plugins without restart
• Auto-dependency resolution
• Plugin marketplace with search and discovery
• Create custom plugins programmatically

🤖 Self-Evolving AI Agents

• Agents can update themselves via natural language prompts
• Auto-install required plugins
• Parameterized environments (all settings adjustable)
• Learning from interactions

⏰ Task Scheduler

• Cron-based scheduling
• Batch processing
• Automated reports
• Maintenance tasks

🌐 Multi-Platform Integration

• Web Interface: React-based dashboard with real-time updates
• Feishu (Lark): Bot integration with interactive cards
• WeChat Work: Enterprise messaging integration
• API: RESTful API for custom integrations

📊 Production-Ready

• 100% test coverage
• Comprehensive documentation
• Docker support
• CI/CD pipelines
• Monitoring and logging

🚀 Quick Start

Prerequisites

• Python 3.10+
• PostgreSQL 13+
• Redis 6+
• CUDA-capable GPU (optional, for faster processing)

Installation

# Clone the repository
git clone https://github.com/yxhpy/openuser.git
cd openuser

# Create virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies
pip install -e ".[dev]"

# Setup database
createdb openuser
alembic upgrade head

# Start Redis
redis-server

# Configure environment
cp .env.example .env
# Edit .env with your settings

# Start the API server
uvicorn src.api.main:app --reload

# In a new terminal, start the frontend
cd frontend
npm install
npm run dev

The API will be available at http://localhost:8000 The web interface will be available at http://localhost:3000

Using Claude Code

# Start Claude Code in the project directory
cd openuser
claude

# Type "开始" or "start" to begin development
# Claude will read TODO.md and start working on tasks

📖 Documentation

• CLAUDE.md - Core instructions for Claude Code
• TODO.md - Development roadmap and tasks
• docs/ - Comprehensive documentation
  • API Documentation
  • Module Registry
  • Integration Guides
  • Troubleshooting

🏗️ Architecture

openuser/
├── src/
│   ├── core/              # Core system (plugin manager, agent manager)
│   ├── plugins/           # Plugin implementations
│   ├── agents/            # AI agent definitions
│   ├── api/               # FastAPI endpoints
│   ├── integrations/      # Platform integrations (Feishu, WeChat)
│   ├── models/            # Digital human models (TTS, face animation)
│   └── utils/             # Utilities
├── frontend/              # React web interface
│   ├── src/
│   │   ├── api/          # API client layer
│   │   ├── components/   # React components
│   │   ├── pages/        # Page components
│   │   ├── store/        # State management (Zustand)
│   │   └── utils/        # Frontend utilities
│   └── public/           # Static assets
├── tests/                 # Test suites (100% coverage)
├── docs/                  # Documentation
├── .claude/               # Claude Code extensions
│   ├── skills/           # Auto-triggered skills
│   ├── agents/           # AI agents
│   └── scripts/          # Helper scripts
└── scripts/              # Deployment scripts

🎯 Usage Examples

Create a Digital Human

from src.models.digital_human import DigitalHumanEngine

# Initialize engine
engine = DigitalHumanEngine()

# Create digital human from image and voice
digital_human = engine.create(
    image_path="path/to/your/photo.jpg",
    voice_samples=["sample1.wav", "sample2.wav"],
    name="My Avatar"
)

# Generate talking video
video = digital_human.generate_video(
    text="Hello, I am your digital human!",
    duration=10
)

Install a Plugin

from src.core.plugin_manager import PluginManager

pm = PluginManager()

# Install plugin from registry
pm.install("image-processor")

# Hot-reload plugin
pm.reload("image-processor")

# List installed plugins
plugins = pm.list_plugins()

Create a Scheduled Task

from src.core.scheduler import Scheduler

scheduler = Scheduler()

# Schedule daily report generation
scheduler.create_task(
    name="daily-report",
    schedule="0 9 * * *",  # Every day at 9 AM
    task="generate_report",
    params={"format": "pdf"}
)

Agent Self-Update

from src.agents.assistant import AssistantAgent

agent = AssistantAgent()

# Agent can update itself via prompts
response = agent.process("Install the video-editor plugin and use it to trim my video")
# Agent will: 1) Install plugin, 2) Update capabilities, 3) Process video

🔌 Plugin Development

Create a custom plugin:

# src/plugins/my_plugin.py
from src.core.plugin_base import Plugin

class MyPlugin(Plugin):
    name = "my-plugin"
    version = "1.0.0"
    dependencies = ["image-processor"]

    def on_load(self):
        """Called when plugin is loaded"""
        self.logger.info(f"{self.name} loaded")

    def on_unload(self):
        """Called when plugin is unloaded"""
        self.logger.info(f"{self.name} unloaded")

    def process(self, data):
        """Main processing logic"""
        return {"status": "success", "data": data}

Register and use:

from src.core.plugin_manager import PluginManager

pm = PluginManager()
pm.register_plugin("my-plugin", MyPlugin)
pm.load_plugin("my-plugin")

🌐 API Endpoints

Digital Human

• POST /api/v1/digital-human/create - Create digital human
• POST /api/v1/digital-human/generate - Generate video
• GET /api/v1/digital-human/{id} - Get digital human info

Plugins

• GET /api/v1/plugins - List plugins
• POST /api/v1/plugins/install - Install plugin
• POST /api/v1/plugins/reload - Hot-reload plugin
• DELETE /api/v1/plugins/{name} - Uninstall plugin

Agents

• GET /api/v1/agents - List agents
• POST /api/v1/agents/{id}/update - Update agent
• POST /api/v1/agents/{id}/chat - Chat with agent

Scheduler

• GET /api/v1/scheduler/tasks - List tasks
• POST /api/v1/scheduler/tasks - Create task
• DELETE /api/v1/scheduler/tasks/{id} - Delete task

Full API documentation: http://localhost:8000/docs

🧪 Testing

# Run all tests with coverage
pytest --cov --cov-fail-under=100

# Run specific test suite
pytest tests/unit/
pytest tests/integration/
pytest tests/e2e/

# Run with verbose output
pytest -v

# Generate HTML coverage report
pytest --cov --cov-report=html
open htmlcov/index.html

🚢 Deployment

Docker

# Build image
docker build -t openuser:latest .

# Run with Docker Compose
docker-compose up -d

# Check logs
docker-compose logs -f

Kubernetes

# Deploy to Kubernetes
kubectl apply -f k8s/

# Check status
kubectl get pods -n openuser

🤝 Contributing

Contributions are welcome! Please read our Contributing Guide for details.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

📝 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

• SadTalker - Talking head generation
• Wav2Lip - Lip-sync
• GFPGAN - Face enhancement
• FastAPI - Web framework
• Celery - Task queue

📧 Contact

• GitHub: @yxhpy
• Repository: https://github.com/yxhpy/openuser

🗺️ Roadmap

See TODO.md for the complete development roadmap.

Current Phase: Phase 1 - Core Infrastructure

Next Milestones:

• Plugin system with hot-reload
• Digital human engine integration
• FastAPI implementation
• Feishu/WeChat integration
• Web interface

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Made with ❤️ by the OpenUser Team