Your Meeting Notes Are Safe. The Thinking You Did On Them Is Not.
Meeting transcription is a solved problem. Otter, Granola, Fireflies, Notion and half a dozen others record the call, transcribe it, and summarize it, and several of them now push that summary straight into ChatGPT or Claude for you. Otter runs an MCP server for exactly this.
So the transcript is safe. That is not the part that goes missing.
We build Unibase Memory, a Chrome extension that syncs AI chats across ChatGPT, Claude, Gemini, Grok, Kimi and DeepSeek into one searchable memory and sends the right context back in one click. Which means we spend a lot of time on where context gets lost between tools, and this is the gap we keep running into.
What actually goes missing
Here is the shape of a normal week.
The call happens. The notetaker captures it. You open the transcript, paste the relevant part into ChatGPT, and spend forty minutes working it into something: a proposal, a scope, a set of decisions about what you are not going to do and why.
If that session ran long enough, the assistant may have cut you off partway through, which is what happens when a ChatGPT conversation gets too long, and the new chat you started carried none of it forward.
Three weeks later somebody asks why the scope excludes the migration piece.
The transcript is still in your notetaker, and it does not contain the answer, because the answer was not said in the meeting. It was worked out afterwards, in a chat, by you. And that chat is somewhere in a sidebar with four hundred others, titled something like "Proposal draft".
Why nobody solves this
The notetaker's job ends at the transcript. It captured the meeting faithfully and it did that well.
The assistant's job ends when the thread does. It has no concept of a meeting, a client, or a decision that should outlive the conversation.
The gap sits between two products, and neither company has a reason to own it. So it falls to you, which is why people end up pasting summaries into documents at the end of the day.
The practical fix, without new tools
Two habits cover most of it.
Write the decision as a decision, in the chat, in one sentence. Not "we should probably skip the migration" buried in paragraph nine, but a clean line: Decision: migration is out of scope, because the client's data lives in a system we cannot access before Q1. You are writing for the version of you who searches for this in November and needs one sentence, not forty minutes of reasoning.
Name the chat after the thing, not the task. "Northwind scope decisions" survives. "Proposal draft" does not.
Those two alone will save you most of the pain, and they cost nothing.
Where a memory layer helps
The habits fail in the same place all habits fail: the conversation you did not think was important.
Unibase Memory is a Chrome extension that captures your AI conversations as they happen, across ChatGPT, Claude, Gemini, Grok, Kimi and DeepSeek. It does not ask you to decide in advance which chat will matter, and it searches the contents rather than the titles, so "migration out of scope" finds the exchange even if the chat is called Proposal draft.
It sits downstream of your notetaker rather than competing with it. Keep Otter or Granola for the meeting. This is for everything you did with the meeting afterwards, which is the part that turns into work.
Everything stays in your browser. Sync is optional, and anything you sync is encrypted on your device first using Fernet, which is AES-128-CBC with HMAC-SHA256. Export it all as a file whenever you want. If you would rather check that kind of claim yourself than take our word for it, we wrote up whether AI memory extensions are safe and the five checks to run on any of them, ours included.
If your work moves between a transcript and an assistant and then into a document, the whole job is transferring AI memory between assistants, and none of the three tools is going to do it for you. That gap is the only thing we built Unibase Memory for.