Notes on AI memory.
Why AI forgets, how to make it remember, and what changes when memory becomes the layer above the model. Written by the team building Vilix.
Local vs cloud AI memory
Where should your AI memory live? Local-first protects privacy. Cloud-first protects portability. Hybrid is what most users actually need — and it's how Vilix is being designed.
The future of AI is persistent memory
Bigger context windows are not the same as memory. The next phase of AI is assistants that persist — across sessions, projects, and providers — and grow more useful the longer you work with them.
Why cross-AI memory matters
Real workflows span multiple AI tools. Cross-AI memory keeps your context portable so switching from ChatGPT to Claude to Cursor doesn't mean starting from zero.
How to make AI remember context
How retrieval-based memory systems work — and how to give your AI tools long-term continuity without retraining a model or re-pasting your project every morning.
Why AI forgets conversations
A clear explanation of context windows, session statelessness, and why AI memory is fundamentally an engineering problem — not a model intelligence problem.