Different bets on AI
Mem bundles its own AI into the product. You write notes. Mem's AI organizes them, surfaces connections, and helps you work with them.
Hjarni makes the opposite bet. No bundled AI. You bring ChatGPT or Claude. Hjarni is the memory layer. Your AI is the thinking layer.
Bundled versus bring-your-own
Mem's approach is convenient. One product, one AI, one bill. The tradeoff: you're locked into Mem's AI. If a better model comes out tomorrow, you wait for Mem to adopt it.
Hjarni's approach is flexible. Use Claude today. Switch to ChatGPT tomorrow. Use both. You always get the latest model because you control the connection. The tradeoff: more setup, less automation.
A concrete workflow
You're preparing for a product review. In Mem, you'd write your notes and ask Mem's AI to surface related older notes. It handles the connections for you.
In Hjarni, you'd ask Claude to search your knowledge base, pull relevant notes, and draft a summary. You can tell Claude how to structure the output using folder-level instructions. Different approach. Same end goal.
Mem thinks for you. Hjarni remembers for you. Pick the one that matches how you work.
When Mem is the better fit
If you want AI baked into the note app — auto-organization, smart surfacing, less setup — Mem is well-designed for that.
When people choose Hjarni instead
The switch usually happens when someone wants to use their own AI. They're already paying for ChatGPT or Claude. They don't want another AI subscription. They want their notes to be the context layer, not another AI product.
Folder-level AI instructions also matter. Mem's AI is one system. Hjarni lets you set different rules for different folders. Formal for client work. Casual for internal brainstorms. Technical for architecture docs.