SuperAPI AI Directory

AipexBase - The First AI-Native Backend Service Platform Open-Sourced by KuaFuAI

Author: AI小集 · Original source: AI工具集

What is AipexBase

AipexBase is China's first open-source AI-native Backend-as-a-Service platform, independently developed by Beijing KuaFuAI Technology (KuaFuAI). AipexBase is dedicated to enabling developers to "have a complete backend without writing one." By automatically encapsulating backend capabilities such as data storage, authentication, and third-party integration, developers only need to call them using the frontend SDK or MCP protocol. AipexBase natively supports MCP, supports domestic ecosystems such as Feishu, DingTalk, and WeChat, and adapts to runtime environments such as HarmonyOS and mini programs, driving AI Coding end-to-end intelligent application development. It is an AI application infrastructure built for the future.

AipexBase

AipexBase's Main Features

  •  AI-Native Architecture:
    • Native MCP (Model Context Protocol) compatibility: Models and agents can directly call backend capabilities for seamless interaction.
    • Unified Context and Data Layer: Provides long-term memory and traceable state management for AI applications, ensuring continuity and stability.
    • Frontend as Backend: Frontend developers do not need to care about API, Server, or database implementation; they only need to describe the business logic, and AI can complete it automatically.
  • Out-of-the-Box Backend Capabilities:
    • Data Storage: Provides automated database operations and management, supporting multiple data storage methods.
    • User Authentication: Supports complete identity authentication and permission control, ensuring application security.
    • Third-Party Integration: Seamlessly integrates mainstream AI services and platforms, expanding application ecosystem capabilities.
    • Context Management: Intelligent session and state maintenance, improving user experience.
  • Comprehensive Adaptation to Domestic Ecosystems:
    • Native Support: Deep adaptation to mainstream domestic platforms such as Feishu, DingTalk, and WeChat.
    • Multi-Platform Compatibility: Supports multiple runtime environments such as HarmonyOS applications, mini programs, and WebView containers.
    • Domestic-Friendly: Deep adaptation to China's development ecosystem, supporting domestic application development.

How to Use AipexBase

  • Visit the project address: Visit the AipexBase Gitee repository https://gitee.com/kuafuai/aipexbase for more information.
  • Choose a deployment method: Choose local installation, Docker Compose deployment, or integration with an AI IDE (such as Trae、Cursor)。
  • Configure the environment: Ensure the system meets the configuration requirements (such as Java, Node.js, MySQL, etc.).
  • Clone the code: Clone the AipexBase code to your local machine via Git.
  • Start the backend service: Enter the backend directory and run the startup command. The service runs by default on http://localhost:8080。
  • Start the admin console (optional): Enter the frontend directory, install dependencies, and start the admin console.
  • Integrate the SDK: Integrate the SDK provided by AipexBase into your project to enable interaction between the frontend and backend.
  • Develop the application: Focus on business logic development and use the backend capabilities provided by AipexBase to complete application construction.

AipexBase Project Address

  • Gitee Repository:https://gitee.com/kuafuai/aipexbase

AipexBase Use Cases

  • AI Assistant Development: Quickly build AI assistants with complete backend functionality, without manually setting up backend services.
  • Enterprise Collaboration Tools: Supports integration with ecosystems such as Feishu and DingTalk, helping enterprises quickly develop collaboration tools and improve office efficiency.
  • Teaching Mini Programs: Compatible with environments such as WeChat Mini Programs, making it convenient for educational institutions to quickly develop teaching mini programs.
  • Agent Plugin Development: Supports domestic ecosystems such as HarmonyOS applications, helping developers create agent plugins for domestic devices.
  • End-to-End Intelligent Application Development: Combined with AI IDEs such as Trae and Cursor, enables full-stack intelligent application development from frontend to backend.