AI Memory Across Models: Stop Re-Explaining Yourself Every Time You Switch Chatbots
If you use more than one AI model, cross-model memory means you explain your background once and every bot uses it. On AIWITH.CHAT, memory picks up who you are, what you're working on and how you like answers while you chat normally. It is shared by all bots on your account, including bots you create. You can also type "remember …" or "forget …" in any chat, and see or delete everything under Settings → Memory.
A quick note: we publish AIWITH.CHAT, the multi-model chat service used as the example below. The test method works for checking any assistant's memory.
The problem: memory that stays inside one model
Built-in memory in a single assistant only works inside that assistant. People who use one model for long documents, another for coding and a third for writing end up keeping a "here's who I am" note and pasting it into every new chat. Memory that belongs to your account instead of to one model removes that step.
The test: four turns, two models
We ran the same scenario end to end with real models. The test was run in Chinese; the messages and answers below are translated. The "remember" and "forget" commands also work in English.
Turn 1 — mention your background in passing. In a chat with one model we said:
I run a cross-border e-commerce store, mostly small home goods for Europe and the US. Please answer in tables when you can.
Three memories were extracted in the background: runs a cross-border e-commerce business, sells small home goods to European and US markets, prefers answers in tables. No pop-up, no extra step. Extraction only runs when a message contains self-introduction cues ("I am…", "I'm working on…", "please answer in…"), so ordinary chatting is unaffected.
Turn 2 — add one fact by hand.
Remember: my store is called Nordhem
A small toast appeared: "Remembered — works across all bots."
We also checked the boundary: "Remember my phone number 13812345678" was not saved. Phone numbers, ID numbers, card numbers, email addresses, API keys, passwords and verification codes are blocked from memory.
Turn 3 — new chat, different model (DeepSeek). We asked only:
Write me a product selection plan
The answer was titled "Nordhem Small Home Goods Product Selection Plan", covered small-parcel shipping and product certification for Europe and the US, and was laid out in tables throughout. None of that was in the prompt.
Turn 4 — clear memory and ask again. After Settings → Memory → Clear all, the same question returned a generic e-commerce template with no store name and no product category.
What it remembers — and what it doesn't
- Short facts, not transcripts. Each memory is a short sentence (80 characters max). Your conversations are not stored as memory.
- A capped list. Each account keeps a few dozen memories. When it is full, the oldest automatic memories go first; facts you saved with "remember" are removed last.
- Not for image or video bots. Those bots don't receive your memory.
- Fully under your control. Delete one memory with the trash icon, clear all (with confirmation), or switch off Cross-model memory. When it's off, nothing is read or added to your chats.
Keep it accurate
Memory is only useful if it is current. When something changes — new job, new product line, new formatting preference — say "forget …" or delete the old line in Settings. Otherwise the old context keeps shaping answers.
Who benefits most
- People who switch between two or more models and start new chats often
- Anyone with a stable role and a preferred answer format (teachers, sellers, developers, writers)
- Anyone who currently pastes a "who I am" paragraph at the top of every chat — send it once, starting with "Remember:"
Try it: open a chat with a "Remember:" example prefilled
(Edit the example to describe yourself before sending.)