Pain Point 1
Memory gets trapped inside platforms
You teach one assistant your preferences, background, and working style. Open another window and you often have to teach it all over again.
MEMORY SYNC
Pull AI memory out of closed platforms and turn it into a long-term asset you can actually control.
One Memory.mdSeven PlatformsHuman-In-The-Loop
Language
Portable AI Memory
Stop reteaching every AI who you are
Use one Memory.md to sync your preferences, background, project context, and working style across ChatGPT, Claude, Gemini, Grok, Kimi, Mistral, and Copilot. Switch the platform. Do not start over teaching each assistant how to understand you.
7
connected platforms for a real multi-assistant workflow
3/mo
free syncs each month to prove the portability model
1
single source of truth that keeps your long-term memory in one file
ChatGPT
Claude
Gemini
Grok
Kimi
Mistral
CopilotYour Portable Memory Layer
Memory.md
source of truth
Current memory excerpt
[Preference] Prefer concise product writing with strong verbs
[Work] Builds across Chrome extensions, SaaS, and AI tooling
[Tone] Avoid fluff, focus on clarity and execution
[Project] Wants one memory layer across multiple AI assistants
Pull
Pull out what a platform already remembers about you.
Edit
Clean, compress, and keep only what deserves to live in long-term memory.
Push
Send the same memory file to another assistant and continue with context intact.
The Real Problem
Your AI is smart,but every new window can feel like amnesia.
Memory Sync is not trying to make chat interfaces look more magical. It solves a more basic infrastructure problem: your memory should leave the platform, stay editable, and move with you.
Pain Point 2
Export does not mean portable
Most platforms give you a raw history dump, not a reusable memory layer you can edit, curate, and keep current.
Pain Point 3
Long-term memory needs control
The real value is not that an AI remembers you. The value is that you decide what stays, what gets removed, and what gets synced.
Honest Workflow
Make portability work first. Then deepen automation.
The current version uses a human-in-the-loop flow: the extension opens the target platform, injects the sync prompt, tracks sync state, and manages Memory.md. You send, review, and confirm the content. It is not theatrical. It is clear, and that makes it trustworthy.
01Pull
Pull memories from ChatGPT, Claude, Gemini, and other assistants so the context comes back into your hands first.
02Edit
Refine everything into one Memory.md. Remove noise. Keep what is genuinely worth preserving.
03Push
Push the same Memory.md to another assistant. What changes is the model, not your memory layer.
Why People Try It
This is not a nice-to-have.It is memory infrastructure for the multi-assistant era.
The first time you use it, the pattern becomes obvious: all the things you have explained to different AIs dozens of times should have been managed in one place from the start.
One Memory.md as the single source of truth
Collect preferences, personal context, project knowledge, and behavior instructions into a memory document you own.
A cross-platform Pull / Edit / Push workflow
Pull memory out of one platform, refine it in Memory.md, then push it into another platform without rebuilding context from zero.
Visible memory instead of black-box memory
Open it, rewrite it, trim it, or delete it. Your long-term memory stops being whatever the platform silently inferred.
Semi-automated syncing that already works now
The extension handles navigation, prompt injection, and sync state. You stay in control of what gets sent and kept.
Built For Urgency
You should only be switching models,not re-explaining yourself every time.
Once you rely on multiple AI assistants, memory management stops being a small convenience feature. It becomes a continuity, efficiency, and control problem. Memory Sync makes the first migration straightforward enough that you can do it today.
Supports 7 major AI platforms
3 free syncs each month
Unlimited syncs for Pro users
Per-platform sync status is visible
Built for heavy multi-assistant users
A clear path to memory portability
Call To Action
Take your AI memory with you
Use one Memory.md to take control of your long-term context. Start with one Pull, then make your first real cross-platform sync.
Start your first sync