Engramshift
Own your AI memory. Take it to any model.
Switch from ChatGPT to Gemini or Claude and the new model knows nothing about you. Your style, your projects, months of accumulated context — gone. You're back to re-explaining yourself from scratch.
So I built Engramshift. Drop in your export and it distills your history into a portable profile (profile.md) — who you are, how you write, what you're building. Take it to any model. You own it; it's a plain file you can read top to bottom.
The part I'm proudest of: it all runs on your machine. Parsing, analysis, generation — everything happens in your browser, on local models, nothing uploaded. Once the engine loads, you can pull your wifi and the migration still finishes. That's not a privacy policy you have to trust — it's the architecture.
It's live and free to upload your export and preview the profile right in the browser. The full version is rolling out through a waitlist.
Honest question for this crowd: do you actually feel "my AI context should be mine and portable," or do you just live in one model and not think about it? Tell me straight — even if the answer is "I don't care."
1 Comment
The detail that stayed with me wasn't the local-first architecture.
It was the assumption sitting underneath the whole product.
That people experience losing AI context as a portability problem.
Reading this, I found myself wondering whether users actually care about owning and moving their context, or whether they simply care about getting good results and only notice portability when those results disappear.
Those feel related, but they could point to very different reasons the product resonates.