Vision
StackLatte is the permanent memory layer between you and every AI model you will ever use. As models commoditise, the most valuable thing you have is your memory — your decisions, knowledge, goals, and the context you have built up over time. That memory should belong to you, live on your device, and follow you to any model, session, or device, forever.
Elevator pitch
Every AI conversation starts from zero. You switch from ChatGPT to Claude to a local model and lose everything every decision, every plan, every piece of context you built. StackLatte is the layer that makes your context permanent, portable, and model-independent. It stores your goals, decisions, knowledge, and progress in a local-first structure that any AI can read. You switch models freely. Your memory follows. The context you own today becomes the foundation for everything you build tomorrow, regardless of which model you trust with it.
Principles
Models are interchangeable. Memory is not.
AI providers compete on capability. Your decisions, goals, knowledge, and history are irreplaceable. The wrong thing to be locked into is the model.
Your context belongs to you.
No server, no account, no subscription holds your memory. Every project lives in your browser. Export it, back it up, take it anywhere.
Context must survive sessions, models, and time.
Closing a tab, switching providers, or returning after three months should not cost you any context. Persistence is the baseline, not a premium.
Provider independence is a right, not a feature.
ChatGPT, Claude, Ollama, LM Studio, any future model users should move between them freely without losing continuity. Lock-in is a design failure.
Local-first is the architecture.
Keeping data on the device is not a workaround for lacking a backend. It is the correct default for user-owned memory. Privacy, speed, and offline use come for free.
Smart retrieval beats bigger context windows.
The answer to growing context is not a larger window. It is knowing which context matters for this specific question and injecting only that. ContextDB is that decision engine.
Memory is unified, not scattered.
Decisions, goals, research, step history, and AI conversations belong in one structure not spread across a dozen chat threads in four different apps.
The long game is a Personal AI OS.
StackLatte is the foundation of a Personal AI Operating System where memory, context, and execution persist across every model you will ever use.
Who built this
10 years of software consultancy across fintech, enterprise, and public sector. StackLatte started as a personal tool to stop rebuilding context across AI sessions — every new chat meant re-explaining the same decisions, constraints, and history. The problem wasn't the models. It was the missing layer between the models and the user. That's the layer I am building.