Turn any meeting transcript into team memory

Meeting context never reaches your AI tools because it lives in a separate silo. A decision made in a recorded meeting sits in its transcript or notes, while your AI coding tools work from their own isolated context, unaware the decision was ever made.

So the team decides something out loud, then re-explains or rediscovers it in the editor a week later, because the meeting and the AI session were never connected.

Wemory connects meetings to AI sessions by feeding transcript context into the same shared memory as your coding sessions and documents. Any transcript Claude can reach, whether it comes from Granola or somewhere else, can be captured, so meeting decisions become part of the team memory every AI session recalls.

What Wemory stores is a summary of the conversation, kept in the team memory and instantly searchable, plus a link back to the source transcript it came from. The summary is what your AI reads day to day; the source stays attached, so nothing is lost to compression.

When a summary does not carry the detail someone needs, an exact figure, a name, a precise wording, Claude can open the original transcript in full and pull the more precise information straight from the source. The team gets a compact memory to work from and the complete record underneath it when it matters.

In practice, a decision made in a planning meeting is captured from its transcript and is available the next time an engineer opens an AI session, with no one re-typing the outcome. The meeting that ends the meeting actually ends it.

Combined with your AI sessions and documents, meeting context makes the shared memory a true picture of how the team thinks and decides, not just what it typed into an editor.