The Neural Child Development System is a breakthrough artificial intelligence framework that reconstructs the learning method of neural networks by simulating human psychological development stages (including cognitive, emotional, and social growth). This system integrates developmental psychology theories (such as Piaget's cognitive development stages and attachment theory) and neuroscience principles to build a complex architecture including perceptual processing, emotional regulation, memory systems, and psychological components, aiming to create AI with real emotional intelligence and natural development capabilities.

NetworksDB-MCP is a powerful tool that integrates the Model Context Protocol (MCP) server with NetworksDB, supporting the query of network intelligence, IP geographical locations, organization details, and DNS information through natural language.

The Isaac Sim MCP extension controls NVIDIA Isaac Sim through natural language, enabling robot simulation, scene creation, and dynamic interactions, and connects the MCP ecosystem with embodied intelligence applications.