ChatGPT Memory is a feature. A knowledge base is a system.
ChatGPT Memory is OpenAI's way of letting ChatGPT remember a few things about you between chats. Your name. Your job. That you prefer concise answers. Useful, light, invisible.
A knowledge base is something else. It is the place you keep the notes that should outlive any one chat, any one assistant, and any one product roadmap. Decisions. Runbooks. Style guides. Customer interviews. The kind of thing you write down because next month you will need it again.
Where Hjarni picks up
Hjarni is for the context you would write down anyway. Notes, folders, tags, in Markdown. ChatGPT reads them through the built-in MCP server. So does Claude. So does Cursor. The same notes serve every AI you connect.
The difference shows up when you want to:
- See the exact text the AI is reading.
- Edit it, organize it, search it like a normal knowledge base.
- Take it with you if you ever leave.
- Share it with a teammate whose Claude or ChatGPT should know the same things.
- Tell the AI how to behave per folder, not per chat.
A concrete example
You are working on a product decision. You write it into a Decisions folder in Hjarni. Next week, when you ask Claude to help write a launch post, Claude reads that decision note and quotes it back. When you switch to ChatGPT to draft the customer email, ChatGPT reads the same note.
Meanwhile, ChatGPT Memory keeps doing what it does best. It remembers you prefer concise drafts. The two work side by side.
ChatGPT Memory remembers things about you. Hjarni stores notes any AI you use can read.
Switching costs
ChatGPT Memory lives inside one account at one company. If that company changes its pricing, retention policy, or model behavior, your memory changes with it.
Hjarni notes are Markdown files in a knowledge base you own. Export anytime. Move to another tool anytime. The notes outlive the tool.