MCP - Titan Memory Server

Collaboration between GitHub users @jasonkneen and @ExpressionsBot

Uses TensorFlow.js for efficient tensor operations in the neural memory model with operations wrapped in tf.tidy() for proper memory management

Implements a type-safe implementation with TypeScript including type-safe MCP tool definitions

1. Click on "Install Server".

2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.

3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@MCP - Titan Memory Server train on the last 5 code snippets I sent"

That's it! The server will respond to your query, and you can continue using it as needed.

Here is a step-by-step guide with screenshots.