mem.center turns scattered AI conversations into evidence-linked memories you approve. For each task, it assembles exact context, cites every claim's source, and lets you review, edit, and copy it into any AI. Nothing is sent automatically. The current demo is illustrative; private beta access is coming next.
Hey Product Hunt 👋
I started mem.center after noticing a frustrating pattern: every new AI conversation starts from zero, while the context that makes an AI genuinely useful is scattered across old chats.
Existing memory features can help—but they often make it hard to see exactly what was remembered, where it came from, or what will be shared next.
mem.center takes a different approach: personal AI memory with receipts.
It turns your conversations into evidence-linked memories that you can review, correct, approve, or dismiss. When you start a task, mem.center selects only the relevant memories, assembles an exact context with source references, and lets you inspect and edit it before copying it into ChatGPT, Claude, Gemini, Qwen, DeepSeek, or any other AI.
Nothing is sent automatically. You decide what becomes memory and what leaves mem.center.
The current public preview is an illustrative product demo while we prepare the invitation-only private beta.
For this first release, I’d especially love your feedback:
• Does the Source → Approved Memory → Context flow feel trustworthy?
• Which should come first: browser extensions, native AI integrations, or faster imports?
• What controls would make you comfortable bringing in past AI conversations?
Thanks for taking a look. Please try the interactive demo and tell us where the experience still feels unclear.