Give ChatGPT, Claude, and Gemini Persistent Memory Across Every Chat
If you use more than one AI assistant, you already know the tax: every new chat starts from zero. You re-explain your project, re-paste the same background, re-describe your preferences. The knowledge you generated last week is stranded in a conversation you will never scroll back to.
Each platform's built-in memory only makes this worse. ChatGPT memory doesn't know what you told Claude. Claude's projects don't know what you told Gemini. Your knowledge gets fragmented across vendors, and none of it is portable.
MindLock is a model-agnostic memory layer that sits next to your AI of choice. This post walks through how to use it to keep real continuity across ChatGPT, Claude, Gemini, and Perplexity.
The Core Idea
Instead of trusting any single provider to remember you, you keep one personal memory store that all of them can read from on demand. The flow is four steps:
- Export a conversation from any AI as an HTML file.
- Import it into MindLock.
- Distill it into structured memory documents.
- Search and generate context to paste into your next chat on any platform.
That's it. Your memory is one place. Your AI is whichever one is best for the task today.
Step 1: Export a Conversation
Open a conversation in ChatGPT, Claude, Gemini, or Perplexity and press Ctrl + S (or Cmd + S on Mac). Your browser saves two things: an HTML file of the page and a folder of assets next to it.
No API keys. No extensions required for the basic flow. Just the browser's native save.
Step 2: Import Into MindLock
In MindLock, open the Conversations page and click Import. Select the HTML file. MindLock detects the platform, parses the messages, and extracts artifacts like images, code blocks, and documents. You can optionally add the assets folder so nothing is lost.
Everything is stored locally on your device. Full walkthrough: Importing Conversations.
Step 3: Distill Into Memory Documents
A raw conversation is not useful as memory. It is long, repetitive, and most of it is scaffolding. MindLock's distillation step reads your conversations and produces two kinds of memory documents:
- Profile memory — general facts about you, your stack, your preferences.
- Topic memories — focused documents grouped by project, theme, or client.
Distillation can run two ways:
- Local (free) via WebLLM on your GPU — nothing leaves your device.
- Cloud (Pro) via Gemini — faster, with higher-quality summaries.
Either way, the output is the same: compact, reusable memory documents. More on how these are structured: Memory Documents.
Step 4: Search and Generate Context
This is the step that closes the loop. Press Ctrl + K in MindLock to semantic-search across every conversation, memory document, and saved context. Pick the memories relevant to your next task. MindLock packages them into a formatted context block you copy and paste into your next AI chat.
Now your new chat — on any platform — starts with the background it needs. You didn't type it out. You didn't trust a vendor to remember. You brought your own memory.
See Generating Context for the full flow.
Why Model-Agnostic Matters
Picking one AI forever is a bad bet. New models ship every month. Each vendor has a shape of tasks it is best at. If your memory lives inside a single vendor, switching is expensive — and you will eventually want to switch.
A model-agnostic memory layer means:
- You can pick the best model per task without losing continuity.
- Your knowledge outlives any single provider's product decisions.
- Comparing AIs is fair — they all start from the same context you provided.
Common Questions
Do I need to import every conversation? No. Import the ones that produced something worth remembering. Throwaway chats can stay throwaway.
What if my conversation is long? MindLock handles long conversations by distilling them into memory documents. You don't store the raw transcript as your memory — you store the distilled output.
Is anything sent to a server? In free local mode, nothing. In Pro, only what you explicitly distill or sync is sent, and cloud data is encrypted.
Start
No sign-up required for local mode. Head to the Dashboard, import your first conversation, and distill it. Within a few minutes you'll have a personal memory you can use across every AI you touch.
Related reading: Introduction to MindLock.