You’ve spent an hour teaching Claude about your business. Your stack, your customers, the decisions you made last week and your very strong feelings about em dashes. Then you switch to another assistant and introduce yourself all over again.
Some context belongs in project files. Some lives in a conversation. Some exists only in the summary you remembered to copy before closing the tab. The next assistant might find the code but miss the reason you rejected a particular approach.
The problem isn’t simply forgetting. It’s remembering different versions of the truth. One assistant thinks you’re still using the old payment provider. Another knows you changed it. Nobody has told the third.
Riley’s video is a useful expression of this frustration, not proof of how many customers will pay to fix it. The first job is to find people who repeatedly lose time at those handovers.
Build Memorio, a shared memory workspace for supported AI tools. Start with one pair of coding agents and one clear promise: continue a real task without repeating the briefing.
Use MCP where the client supports the necessary features, supplemented by a plugin or approved session hooks where needed. MCP standardises context exchange; it does not guarantee that an assistant captures every change or uses retrieved context correctly.
Do not promise universal, automatic synchronisation across every AI app at launch. Publish a tested compatibility list.
There is no verified customer count, market share or revenue for Memorio. The useful numbers are the ones an early test can measure.
Proposed validation targets