How personal frustration with AI memory loss led to building a continuity layer for all AI tools.
I didn't come from a tech background.
I didn't come from money either.
Before college, I worked delivery jobs in the mornings and evenings—Swiggy, local bakery deliveries—just to keep things moving. Between that, classes, and family responsibilities, there wasn't much room for comfort or experimentation.
I tried multiple paths that didn't work.
Each attempt failed differently, but the lesson was the same: ideas don't survive without execution, clarity, and systems.
While researching new directions, I spent months deeply inside AI tools—ChatGPT, Claude, documentation, videos—planning, learning, and trying to build something real.
That's when a specific frustration became impossible to ignore.
Not once or twice—constantly.
The work wasn't lost because it was bad. It was lost because nothing was preserving it.
I kept asking a simple question:
At first, I imagined complex solutions—extensions, keyboards, auto-injectors. Most of them were unrealistic.
Then I discovered MCP.
That changed the approach entirely.
Instead of forcing context back into tools manually, MCP made it possible to store work once and reuse it later, quietly, across tools and sessions.
So I built a system around that idea.
Not as a startup. Not as a pitch. As a solution to a problem I was personally living with.
The system does one thing well:
It captures AI conversations automatically, stores them permanently, organizes them by project, and makes them retrievable when needed—days or weeks later.
No manual saving. No copy-paste. No re-explaining. Just continuity.
I used it myself while working and learning. Over time, old fixes resurfaced when the same problems appeared again. Decisions didn't vanish. Context stayed intact.
That's when it became clear this wasn't just my issue.
This is not an autonomous AI. It doesn't think for you. It doesn't replace judgment.
It's a continuity layer.
A way to make sure real work doesn't disappear just because:
I've failed enough times to understand something simple:
This product exists to prevent that waste.
If you rely on AI tools regularly and hate starting from zero every time you come back—this exists for you.
Quietly. Practically. Without hype.
Early access. Built in public. Feedback welcome.
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