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https://gitee.com/wanwujie/deer-flow
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feat: adds docker-based dev environment (#18)
* feat: adds docker-based dev environment * docs: updates Docker command help * fix local dev
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CONTRIBUTING.md
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CONTRIBUTING.md
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# Contributing to DeerFlow
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Thank you for your interest in contributing to DeerFlow! This guide will help you set up your development environment and understand our development workflow.
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## Development Environment Setup
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We offer two development environments. **Docker is recommended** for the most consistent and hassle-free experience.
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### Option 1: Docker Development (Recommended)
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Docker provides a consistent, isolated environment with all dependencies pre-configured. No need to install Node.js, Python, or nginx on your local machine.
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#### Prerequisites
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- Docker Desktop or Docker Engine
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- pnpm (for caching optimization)
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#### Setup Steps
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1. **Configure the application**:
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```bash
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# Copy example configuration
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cp config.example.yaml config.yaml
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# Set your API keys
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export OPENAI_API_KEY="your-key-here"
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# or edit config.yaml directly
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# Optional: Enable MCP servers and skills
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cp extensions_config.example.json extensions_config.json
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# Edit extensions_config.json to enable desired MCP servers and skills
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```
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2. **Initialize Docker environment** (first time only):
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```bash
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make docker-init
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```
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This will:
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- Build Docker images
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- Install frontend dependencies (pnpm)
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- Install backend dependencies (uv)
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- Share pnpm cache with host for faster builds
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3. **Start development services**:
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```bash
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make docker-dev
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```
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All services will start with hot-reload enabled:
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- Frontend changes are automatically reloaded
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- Backend changes trigger automatic restart
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- LangGraph server supports hot-reload
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4. **Access the application**:
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- Web Interface: http://localhost:2026
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- API Gateway: http://localhost:2026/api/*
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- LangGraph: http://localhost:2026/api/langgraph/*
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#### Docker Commands
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```bash
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# View all logs
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make docker-dev-logs
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# View specific service logs
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./scripts/docker.sh logs --web # Frontend only
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./scripts/docker.sh logs --api # Backend only
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# Restart services
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./scripts/docker.sh restart
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# Stop services
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make docker-dev-stop
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# Get help
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./scripts/docker.sh help
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```
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#### Docker Architecture
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```
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Host Machine
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↓
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Docker Compose (deer-flow-dev)
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├→ nginx (port 2026) ← Reverse proxy
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├→ web (port 3000) ← Frontend with hot-reload
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├→ api (port 8001) ← Gateway API with hot-reload
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└→ langgraph (port 2024) ← LangGraph server with hot-reload
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```
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**Benefits of Docker Development**:
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- ✅ Consistent environment across different machines
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- ✅ No need to install Node.js, Python, or nginx locally
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- ✅ Isolated dependencies and services
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- ✅ Easy cleanup and reset
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- ✅ Hot-reload for all services
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- ✅ Production-like environment
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### Option 2: Local Development
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If you prefer to run services directly on your machine:
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#### Prerequisites
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Check that you have all required tools installed:
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```bash
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make check
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```
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Required tools:
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- Node.js 22+
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- pnpm
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- uv (Python package manager)
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- nginx
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#### Setup Steps
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1. **Configure the application** (same as Docker setup above)
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2. **Install dependencies**:
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```bash
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make install
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```
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3. **Run development server** (starts all services with nginx):
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```bash
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make dev
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```
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4. **Access the application**:
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- Web Interface: http://localhost:2026
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- All API requests are automatically proxied through nginx
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#### Manual Service Control
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If you need to start services individually:
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1. **Start backend services**:
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```bash
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# Terminal 1: Start LangGraph Server (port 2024)
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cd backend
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make dev
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# Terminal 2: Start Gateway API (port 8001)
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cd backend
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make gateway
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# Terminal 3: Start Frontend (port 3000)
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cd frontend
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pnpm dev
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```
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2. **Start nginx**:
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```bash
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make nginx
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# or directly: nginx -c $(pwd)/docker/nginx/nginx.local.conf -g 'daemon off;'
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```
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3. **Access the application**:
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- Web Interface: http://localhost:2026
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#### Nginx Configuration
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The nginx configuration provides:
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- Unified entry point on port 2026
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- Routes `/api/langgraph/*` to LangGraph Server (2024)
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- Routes other `/api/*` endpoints to Gateway API (8001)
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- Routes non-API requests to Frontend (3000)
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- Centralized CORS handling
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- SSE/streaming support for real-time agent responses
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- Optimized timeouts for long-running operations
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## Project Structure
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```
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deer-flow/
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├── config.example.yaml # Configuration template
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├── extensions_config.example.json # MCP and Skills configuration template
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├── Makefile # Build and development commands
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├── scripts/
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│ └── docker.sh # Docker management script
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├── docker/
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│ ├── docker-compose-dev.yaml # Docker Compose configuration
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│ └── nginx/
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│ ├── nginx.conf # Nginx config for Docker
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│ └── nginx.local.conf # Nginx config for local dev
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├── backend/ # Backend application
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│ ├── src/
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│ │ ├── gateway/ # Gateway API (port 8001)
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│ │ ├── agents/ # LangGraph agents (port 2024)
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│ │ ├── mcp/ # Model Context Protocol integration
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│ │ ├── skills/ # Skills system
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│ │ └── sandbox/ # Sandbox execution
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│ ├── docs/ # Backend documentation
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│ └── Makefile # Backend commands
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├── frontend/ # Frontend application
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│ └── Makefile # Frontend commands
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└── skills/ # Agent skills
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├── public/ # Public skills
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└── custom/ # Custom skills
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```
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## Architecture
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```
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Browser
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↓
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Nginx (port 2026) ← Unified entry point
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├→ Frontend (port 3000) ← / (non-API requests)
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├→ Gateway API (port 8001) ← /api/models, /api/mcp, /api/skills, /api/threads/*/artifacts
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└→ LangGraph Server (port 2024) ← /api/langgraph/* (agent interactions)
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```
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## Development Workflow
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1. **Create a feature branch**:
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```bash
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git checkout -b feature/your-feature-name
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```
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2. **Make your changes** with hot-reload enabled
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3. **Test your changes** thoroughly
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4. **Commit your changes**:
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```bash
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git add .
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git commit -m "feat: description of your changes"
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```
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5. **Push and create a Pull Request**:
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```bash
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git push origin feature/your-feature-name
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```
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## Testing
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```bash
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# Backend tests
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cd backend
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uv run pytest
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# Frontend tests
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cd frontend
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pnpm test
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```
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## Code Style
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- **Backend (Python)**: We use `ruff` for linting and formatting
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- **Frontend (TypeScript)**: We use ESLint and Prettier
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## Documentation
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- [Configuration Guide](backend/docs/CONFIGURATION.md) - Setup and configuration
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- [Architecture Overview](backend/CLAUDE.md) - Technical architecture
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- [MCP Setup Guide](MCP_SETUP.md) - Model Context Protocol configuration
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## Need Help?
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- Check existing [Issues](https://github.com/bytedance/deer-flow/issues)
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- Read the [Documentation](backend/docs/)
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- Ask questions in [Discussions](https://github.com/bytedance/deer-flow/discussions)
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## License
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By contributing to DeerFlow, you agree that your contributions will be licensed under the [MIT License](./LICENSE).
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