Hebbian Mind

A local MCP server that gives an assistant associative memory, where connections between items strengthen through use and decay through disuse.

What you can do

Provides associative memory based on Hebbian learning, so an assistant can store and recall linked items rather than flat records. Connections between items strengthen as they are used together and weaken when they go unused. No individual tools are documented, so the exact operations are not described in the supplied material.

When to use it

Worth considering when you want an assistant to keep a memory that reinforces frequently used associations and lets stale ones fade, rather than a fixed knowledge store.

Requirements

Runs as a local process on the user's machine, installed from the PyPI package hebbian-mind-enterprise over stdio. Desktop only; no web execution. No authentication, environment variables or headers are declared.