ChainFusion

Bridge Your Web2 Apps to Web3 with AI Agents

Bringing traditional Web2 applications into the decentralized Web3 ecosystem is a complex and resource-intensive process. Businesses and developers face numerous challenges:

• Lack of Blockchain Expertise: Transitioning requires specialized knowledge of smart contracts, decentralized storage, and tokenization.
• Time and Cost Constraints: Manual system architecture planning and deployment can take months, consuming significant resources.
• Uncertainty in Technology Choices: With the rapidly evolving blockchain landscape, staying updated with secure and scalable solutions is challenging.
• Deployment Complexities: Setting up blockchain nodes, deploying smart contracts, and integrating tools like WalletConnect demand advanced technical skills.

How Bridge AI Solves These Problems

Bridge AI simplifies the Web2 to Web3 transition by automating crucial tasks and providing AI-driven guidance throughout the process.

Tech Stack

• Frontend: Next.js
• Backend: Python
• Blockchain: Hardhat, Scaffold-Eth2, CDP-Kit
• AI & Automation: LangChain, LangGraph, AI Agents
• Development Environment: Replit

Project Structure

The project is organized into two main directories:

• Frontend/: React-based web application
• Backend/: Python-based backend server

Frontend

The frontend is built using modern web technologies and includes:

• Package management with Yarn
• Modern development tooling and linting
• Organized component structure
• GitHub workflows and Husky for git hooks

Frontend Setup

Navigate to the Frontend directory: sh cd Frontend

Install dependencies: sh yarn install

Start the development server: sh yarn dev

Backend

The backend is built with Python and includes:

• RESTful API routes
• Docker support for containerization
• Store management
• Custom agents
• Script utilities

Backend Setup

Navigate to the Backend directory: sh cd Backend

Set up a Python virtual environment: sh python -m venv venv source venv/bin/activate # On Windows use: venv\Scripts\activate

Install dependencies: sh pip install -r requirements.txt

Start the server: sh python main.py

Docker Setup (Optional)

The backend can also be run using Docker: sh docker-compose up --build

AI Agents

The system leverages AI agents to automate various aspects of Web3 integration:

1. System Architect - Automates system design and architecture planning for Web3 applications.
2. Research Analyst - Gathers and analyzes blockchain trends, security risks, and best practices.
3. Smart Contract Developer - Assists in writing, testing, and deploying secure smart contracts.

Development

• The frontend development server typically runs on: http://localhost:3000
• The backend API server runs on the port specified in main.py
• Use the provided linting and formatting tools to maintain code quality

Pictures

Contributing

Please refer to the CONTRIBUTING.md file in the Frontend directory for guidelines on contributing to this project.

License

This project is licensed under the terms specified in the LICENSE file in the Frontend directory.