I wrote the book behind Graphify. The Memory Layer is out.

[safishamsi]

A few years ago I went deep on ontologies, knowledge graphs, and neurosymbolic AI. Not because there was a clear destination, but because something about structured memory felt like the missing layer in how machines reason.

Graphify came out of that. So did this book.

The Memory Layer is 144 pages on knowledge graphs, AI memory, and the architecture Graphify is built on.

It covers:

• Why binary graphs erase the signal that matters
• How the Leiden algorithm finds communities your file system never told you about
• How to compress a 5M-token codebase to 176K tokens at 28:1 ratio
• How to wire your graph to Claude or Cursor as a native MCP tool
• The confidence firewall that separates steel edges from rope

If you have used Graphify and wondered why it makes the decisions it makes, this is the book that answers that.

If you have not used Graphify yet, this is the book that explains why you should.

👉 The Memory Layer, available now

Every codebase has a god node nobody knows about yet. Go find yours.