ChatGPT Memory vs StackLatte

ChatGPT Memory is a convenient feature for personal use. StackLatte is a portable context layer for serious work. They solve different problems — and the distinction matters.

How ChatGPT Memory Works

ChatGPT Memory is an automatic, server-side feature that saves facts about you across conversations. When you mention something relevant — your job, a preference, a name — ChatGPT may save it as a memory. Future conversations reference these saved facts to feel more personalised.

You can view, edit, and delete your memories through the settings panel. It works entirely within the ChatGPT interface and requires a ChatGPT Plus subscription to use fully.

For everyday use — having ChatGPT remember your preferred coding language, communication style, or current job title — this is genuinely useful. The experience feels more continuous, and you do not have to repeat basic facts every session.

Where ChatGPT Memory Falls Short

The moment you try to use ChatGPT Memory for a real project, the cracks appear.

• Flat memory, no structure. ChatGPT Memory stores facts as a list. There is no concept of tracks, phases, steps, or dependencies. You cannot describe a multi-phase software build and have the AI understand what is done, what is in progress, and what is blocked.
• Locked to OpenAI. Every memory lives on OpenAI's servers, inside ChatGPT. If you want to use Claude for a task, a local model for privacy reasons, or any future model, your context stays behind. You start from zero.
• You do not control what gets saved. ChatGPT decides what to remember. Important project decisions can be missed; trivial details can be saved. For precision project work, you need explicit control.
• No decision history or rollback. Memory is additive and opaque. There is no log of what changed, when, or why. You cannot roll back to a previous state.
• Privacy tradeoffs. All your saved memories live on OpenAI's infrastructure, subject to their data and privacy policies. For sensitive work, this is not acceptable.

How StackLatte Approaches Memory Differently

StackLatte starts from a different premise: your context is the valuable thing, not the AI model. Models are improving, switching, and commoditising. Your project knowledge, decisions, and execution state should live with you — permanently, portably, and without an account.

Instead of saving facts about you, StackLatte structures your work into a full project hierarchy: tracks (major workstreams), phases (stages within a track), and steps (specific tasks with descriptions, instructions, and acceptance criteria). Each step carries its own context that gets injected into your AI conversations automatically.

All of this lives in your browser. No server, no account, no subscription. And it works with any AI — OpenAI, Anthropic, Groq, local models via Ollama or LM Studio. Your context travels across every provider you use.

Side-by-Side Comparison

Can You Use Both?

Yes. ChatGPT Memory and StackLatte serve different layers. ChatGPT Memory handles personal preferences and lightweight personalisation inside ChatGPT. StackLatte handles your project context, knowledge base, and execution state — and makes it available across every AI you use.

For casual ChatGPT use, ChatGPT Memory is convenient. For real project work — especially if you use multiple models — StackLatte is the right layer.

See also: Claude Projects vs StackLatte and our guide on maintaining context across AI models.

Frequently Asked Questions