DeepFlow

# 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