# AI Framework

PydanticAI is a Python agent framework developed by the Pydantic team, aiming to simplify the development of production-grade applications based on generative AI. It supports multiple AI models, integrates Pydantic validation and structured output, provides a dependency injection system, streaming responses, and graph support, and seamlessly integrates with Pydantic Logfire. It is suitable for building AI applications that require type safety and efficiency.

Genkit is an open-source framework for building AI-driven applications, providing Node.js and Go libraries, supporting the integration of multiple AI models and vector databases, and including development tools and a plugin ecosystem.

Solon-AI is a Java AI application development framework for all scenarios, supporting multiple AI capabilities and can be embedded in various frameworks for use.

The NSAF MCP Server is a server-side implementation of the Model Context Protocol (MCP) used to connect AI assistants with the Neural-Symbolic Autonomous Framework (NSAF), providing evolutionary algorithms and architecture comparison functions.

MCP Base is a general model context protocol framework for building AI-driven applications. It provides standardized server and client implementations, supporting multiple integrations and modular design.