For-Sunny/hebbian-mind-enterprise
🔌 MCP ServerFor-Sunny
A self-organizing neural graph memory MCP server utilizing Hebbian learning for dynamic AI knowledge retention.
Hebbian Mind Enterprise represents a significant shift from static vector databases to dynamic, self-organizing memory structures. At its core, the system utilizes Hebbian learning, a neuroscientific concept often summarized as 'cells that fire together, wire together.' This MCP server allows AI agents to store and retrieve information within a neural graph that evolves in real-time based on usage patterns.
Key technical features include a dual-write architecture designed to ensure consistency and reliability during complex memory operations. The system manages over 118 distinct learning nodes, facilitating intricate associative mapping between data points. With sub-millisecond read latency, the server is optimized for real-time applications where rapid context retrieval is essential. By incorporating temporal decay, the memory system naturally prioritizes relevant, frequently accessed information while pruning stale connections, effectively mimicking the plasticity of biological neural networks. This tool is designed to be easily integrated into existing AI workflows via the Model Context Protocol, enabling seamless communication between LLMs and the neural graph memory.
💡Highlights
- ├─118+ active learning nodes
- ├─Sub-millisecond read latency
- └─Dynamic temporal decay logic
🎯For
- ├─AI Researchers
- └─Agent Developers