Content
# DeepFlow
**AI-Powered Multi-Agent Framework for Web3 Development**
[](LICENSE)
[](https://www.python.org/downloads/)
[](https://github.com/username/deepflow/releases)
## Overview
DeepFlow is a sophisticated AI framework that combines multi-agent systems with Web3 capabilities, enabling intelligent code generation and automation. Built on top of the HuggingFace ecosystem, it provides a comprehensive suite of tools for building, debugging, and deploying AI-powered applications with blockchain integration.
## Core Features
### 🤖 Advanced Agent System
- **Multi-Step Agent Architecture**
- Sophisticated planning and execution pipeline
- State management with memory systems
- Dynamic tool integration capabilities
- **Specialized Agents**
- `ToolCallingAgent`: Expert at utilizing external tools and APIs
- `CodeAgent`: Specialized in code generation and execution
- Support for custom agent implementations
### 🛠️ Comprehensive Tooling
- **Built-in Tools**
- Python code execution environment
- Web3 integration tools
- File system operations
- Web search capabilities
- **Extensible Tool System**
- Custom tool development framework
- Tool validation and safety checks
- Rich type system for tool inputs/outputs
### 🧠 AI Model Integration
- **Flexible Model Support**
- Compatible with HuggingFace models
- Support for custom model implementations
- Structured prompt templates
### 📊 Memory & State Management
- **Sophisticated Memory System**
- Action tracking and history
- Planning state management
- Task contextualization
### 🌐 Web3 Features
- **Blockchain Integration**
- Wallet connectivity
- Smart contract interaction
- Transaction management
## Installation
### Prerequisites
- Python 3.8 or higher
- Git
### Quick Start
1. Install via pip:
```bash
pip install deepflow
```
2. Or install from source:
```bash
git clone https://github.com/username/deepflow.git
cd deepflow
pip install -e .
```
## Usage Examples
### Basic Agent Usage
```python
from deepflow import MultiStepAgent, Tool
from deepflow.models import get_model
# Initialize model and tools
model = get_model("gpt-3.5-turbo")
tools = [Tool(...)] # Add your tools
# Create agent
agent = MultiStepAgent(
tools=tools,
model=model,
max_steps=20
)
# Run a task
result = agent.run("Create a simple web application")
```
### Web3 Integration
```python
from deepflow.web3 import Web3Agent
from deepflow.tools import BlockchainTool
# Initialize Web3 agent
agent = Web3Agent(
tools=[BlockchainTool()],
model=model
)
# Interact with blockchain
result = agent.run("Deploy a smart contract")
```
## Project Structure
```
deepflow/
├── src/
│ ├── core/ # Core agent implementation
│ ├── models/ # AI model integrations
│ ├── tools/ # Tool implementations
│ ├── runtime/ # Execution environments
│ ├── interface/ # UI and CLI components
│ ├── utils/ # Utility functions
│ └── web3/ # Blockchain integrations
├── docs/ # Documentation
└── tests/ # Test suite
```
## Development
### Setting Up Development Environment
1. Create a virtual environment:
```bash
python -m venv venv
source venv/bin/activate # Linux/Mac
# or
venv\Scripts\activate # Windows
```
2. Install development dependencies:
```bash
pip install -r requirements-dev.txt
```
### Running Tests
```bash
pytest tests/
```
## Contributing
We welcome contributions! Please see our [Contributing Guidelines](CONTRIBUTING.md) 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
## Documentation
- [API Reference](docs/api.md)
- [Architecture Guide](docs/architecture.md)
- [Tool Development Guide](docs/tools.md)
- [Web3 Integration Guide](docs/web3.md)
## License
Licensed under the Apache License, Version 2.0 - see the [LICENSE](LICENSE) file for details.
## Contact & Support
- **Documentation**: [https://deepflow.readthedocs.io](https://deepflow.readthedocs.io)
- **Issues**: [GitHub Issues](https://github.com/username/deepflow/issues)
- **Discord**: [Join our community](https://discord.gg/deepflow)
- **Email**: support@deepflow.dev
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