mcp-titan
The Titan Memory MCP Server provides a neural memory system that supports learning and predicting sequences for LLMs, with emphasis on maintaining memory state. It offers integration with Cursor and Claude, featuring efficient memory management and transformer-based architecture.
What is the primary function of the Titan Memory MCP Server?
The primary function is to provide a neural memory system for LLMs, enabling them to learn and predict sequences while maintaining state through a memory vector.
How does the server integrate with Cursor?
The server runs in 'yolo mode' in Cursor, allowing for hands-free operation and seamless integration with MCP clients.
What are the key features of the neural memory architecture?
The architecture is transformer-based, capable of learning and predicting sequences, and includes efficient memory management and text encoding.
Can memory states be saved and loaded?
Yes, the server supports memory persistence, allowing memory states to be saved and loaded between sessions.
What tools are available with the Titan Memory MCP Server?
Tools include help, init_model, forward_pass, train_step, get_memory_state, and more for managing and utilizing the memory system.