AI Cloud OS: Open-source enterprise-level AI knowledge base and MCP (model-context-protocol)/A2A (agent-to-agent) management platform with admin UI, user management and Single-Sign-On, supports ChatGPT, Claude, Llama, Ollama, HuggingFace, etc., chat bot demo: https://ai.casibase.com, admin UI dem...
Casibase is an innovative platform that streamlines the interaction between users and various AI models, providing a versatile environment designed for both development and testing. With its robust frontend and backend architecture, it caters to a wide range of applications while allowing users to experiment with cutting-edge AI technologies in an accessible manner.
This platform is divided into two main parts: the user interface built with JavaScript and React for a seamless experience, and a powerful backend powered by Golang, Beego, Python, Flask, and MySQL that ensures efficient server-side processing and API interaction. Whether you're testing out language models or exploring the capabilities offered by different AI subtypes, Casibase is geared up to provide a solid foundation for your project needs.
User-Friendly Interface: Built using JavaScript and React, the frontend is designed for intuitive navigation, ensuring that users can easily access different features and functionalities.
Multi-Language Support: The backend integrates various programming languages, including Golang, Python, and frameworks like Flask, making it highly flexible and adaptable for development.
Regular Data Restoration: For writable sites, original data is automatically restored every 5 minutes, which helps in maintaining a clean testing environment without manual intervention.
Diverse AI Model Access: Users can tap into a wide range of supported models, including OpenAI's advanced language models and Claude, facilitating diverse project requirements.
Demo and Read-Only Modes: Casibase offers both demo and read-only modes, allowing users to explore the platform's capabilities without the risk of data alteration.
Documentation Available: Comprehensive documentation is accessible, providing users with guidance and best practices for navigating the platform efficiently.
Custom Model Support: The platform allows for the integration of custom models, enabling users to implement their unique AI solutions tailored to specific needs.