Gemini starts every session blank — it forgets your project, your decisions, and what you told it yesterday. The fix is a memory layer outside the model, and the real win is that the same memory is shared across every model, so what Gemini learns, your other AI tools recall too.
Why Gemini forgets
Like every LLM, Gemini only knows what's in its context window. Close the chat and it's gone. Bigger context windows don't fix it — they're cleared each session and expensive to refill every time. Durable memory has to live outside the model.
Connect Gemini to a shared memory
Gemini doesn't need native MCP: point it at the Kit for AI REST API (or the @kitforai/sdk) to read and write memory. Call the memory REST API from Gemini function calls or your app. It's the same store every other tool shares — no per-app silo.
One memory, every tool
Because the memory lives in the cloud behind one API, it isn't locked to Gemini. Save a decision in Gemini today; recall it from another model tomorrow. That's persistent memory that follows you across models, not another silo.
Give Gemini a memory in a couple of minutes — Start free and connect it to your knowledge.