🤖 Multi-AI Coding Agent Projects

Production-ready, multi-agent AI systems that you can clone, customize, and deploy in minutes.

This repository provides a collection of self-contained, professional-grade AI applications built with a modern tech stack. It is designed for students, developers, and entrepreneurs who want to build and deploy AI solutions efficiently.

🚀 Getting Started

For a complete setup guide, please see the Quick Start Guide.

📚 Documentation

Each project includes comprehensive documentation following open source best practices:

• docs/setup/ - Installation and configuration guides
• docs/design/ - Architecture and design decisions
• docs/api/ - API documentation and specifications
• docs/deployment/ - Deployment guides and configurations
• docs/troubleshooting/ - Common issues and solutions
• docs/contributing/ - Development and contribution guidelines

Production Best Practice: All projects use environment variables for API keys instead of .env files, ensuring security and cloud deployment compatibility.

🎯 Core Objectives

• Natural Language AI Development: Extend and customize AI projects through conversational development.
• Enterprise-Ready & Developer-Friendly: Built with a vendor-agnostic, enterprise architecture from day one, ensuring no lock-in and a developer-friendly experience.
• Business Value-Driven Workflow: Enables a forward-deployed engineer workflow, allowing for rapid prototyping and iteration to solve real-world business problems.

Workflow Overview

The diagram below illustrates the development workflow, from initial setup to running an application.

graph TD
    subgraph "Setup"
        A[Start Here] --> B["[Install AI Coding Environment](./setup/quick-start.md)"];
    end

    subgraph "Project Initiation"
        B --> C{Clone Project};
        C --> D["Start AI Coding Agent (e.g., Claude Code)"];
    end

    subgraph "Explore & Understand"
        D --> E{Test Existing Projects};
        E --> F["Update API Keys"];
        F --> G["Run Project (e.g., Content Generator)"];
        G --> H["Understand Tech Stack & Architecture"];
        H --> E;
    end

    subgraph "Iterative Development Cycle"
        D --> I{Create New Project};
        I --> J["Copy Existing Project (e.g., 'copy project 1 to project_new')"];
        J --> K["Define Requirements (PRD)"];
        K --> L["Modify Use Case using Natural Language (e.g., 'change to market research tool')"];
        L --> M{Cross-check with other AI Agents};
        M --> N["Test & Refine"];
        N --> L;
    end

    subgraph "Goal"
        N --> O["Contribute to<br>Containerized Best Practices"];
    end

    H --> I;

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📂 The Projects

Each project is a complete, standalone application.

Project	Description	Status
01-content-generator	Multi-agent content creation with a real-time UI.	✅ Ready
02-expense-tracker	Automates business expense categorization.	✅ Ready
03-task-tracker	Natural-language task logging to Google Sheets.	✅ Ready
04-Google-OAuth	Team task tracker with Google OAuth integration.	✅ Ready
adk-quickstart	Containerized Google ADK with custom chat frontend.	✅ Ready
05-cloud-deployment	Guides for deploying these projects to the cloud.	🗓️ Nov 2025 Release

For more details, see the README file within each project folder.

🤝 Contributing

We welcome contributions! Please see our Contributing Guidelines and Code of Conduct.

📄 License

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