How it works

This section explains what happens under the hood when you use Nowledge Mem. It is written for users who want to understand why the system behaves the way it does, not just how to use it.

You do not need to read these pages to use Mem effectively. Everything here runs automatically. But if you have ever wondered why certain memories rank higher in search, how the system detects contradictions, or what happens while you sleep, this is where to look.

What is covered

• Knowledge evolution explains how memories transform over time. When you refine a decision or learn something that contradicts earlier thinking, the system tracks the relationship instead of overwriting history.

• Search architecture describes how search combines multiple perspectives (semantic meaning, keywords, entity linking, community clusters, labels, and graph traversal) to find what you need.

• Memory decay covers how the system decides what to surface first. Recent and frequently used knowledge ranks higher. Important knowledge never disappears.

• Background intelligence walks through the daily pipeline: what runs, when, and what safeguards keep it from wasting resources or generating noise.

• Crystals explains how the system synthesizes stable reference knowledge when multiple independent sources converge on the same insight.

Where to start

If you are trying to understand why a specific search result appeared (or did not appear), start with search architecture and memory decay.

If you want to understand the background features (briefings, contradictions, entity extraction), start with background intelligence.