AI Memory (for AI grounding and steering)

AI Memory (for AI grounding and steering)

A feature that lets AI remember things—either within one conversation or across many. Grounding means anchoring answers in past facts and preferences; steering means shaping how the AI behaves over time.

Turning on AI memory meant Claude remembered her writing style, so she didn't have to re-explain it each chat.

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Overview

Memory and long context: a collection of notes

Extended context windows and memory layers help AI “remember” across longer conversations or sessions. Instead of rewriting the model with every new fact, you hand the team member a binder of notes they can consult anytime. This is cheaper and more flexible than fine-tuning, though it requires careful curation to avoid information overload.

  • Pros: Enables continuity and personalization.
  • Cons: Risk of clutter, outdated notes, or sensitive data leakage.
  • Think about: Extended context windows, session memory, and secure data handling.

How to Think About

AI Memory (for AI grounding and steering)

Practical Applications of

AI Memory (for AI grounding and steering)