Give Teams One Meeting Memory That Works Across Every Tool
Meeting notes get scattered across Otter, Granola, Notion, Slack, and somebody's local file. AI tools each see only their own slice. MemoryLake gives teams a unified meeting memory layer — every action item, decision, and follow-up retrievable from any tool that needs it.
Give Teams One Meeting Memory That Works Across Every Tool
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The problem: meeting notes fragment across tools and decay fast
The decision made in the Tuesday standup lives in Granola. The follow-up in Wednesday's 1:1 is in Notion. The Slack thread tying them together is buried. By Friday, three people have three different recollections — and the AI tools they use each see one fragment.
How MemoryLake solves meeting memory across tools
One memory, every meeting source
Otter, Granola, Fathom, Fireflies, Notion, Slack — ingest them all into one structured meeting memory.
Event memory chains meetings together
Every meeting links to its predecessors. "What was the decision on this topic before today?" answered instantly.
Action item tracking with provenance
Each action item links to the meeting it came from, who owns it, and what's happened since.
Cross-tool retrieval
The AI assistant in your inbox, your project tool, and your editor all see the same meeting memory.
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How it works for meeting memory
- Connect — Pipe transcripts and meeting notes from your tools into MemoryLake.
- Structure — Each meeting becomes event memory; decisions become facts; follow-ups become tracked items.
- Reuse — Any AI tool retrieves the relevant meeting history before answering.
Before vs. after: meeting memory across tools
| Without MemoryLake | With MemoryLake | |
|---|---|---|
| "What did we decide last week?" | Search five tools | One memory query |
| Action item follow-through | Lost in transcript | Tracked with status |
| New team member joins mid-project | Skim transcripts | Read structured memory |
| Switching from Otter to Granola | Lose old transcripts | Memory stays put |
Who this is for
Distributed teams and operations leaders managing many recurring meetings — standups, customer calls, leadership reviews — where decisions need to be retrievable months later from any AI tool the team uses.
Try this use case on your own account
A fictional warehouse cutover is discussed across five tools — an Otter-recorded ops sync, a Granola check-in, a Slack thread, a Notion runbook and a Fathom call summary — and all of it goes into one MemoryLake project through the CLI. A decision that changed comes back as one fact with the new date, the one it replaced and when each was set; every action item has an owner, a source meeting and a status; and a confidential call, once deleted, can no longer be found.
What you will see
- Meetings from three tools as group conversations, each message sent by the person who said it
- A changed decision kept as one fact: the new date, the old date, and the meeting behind each
- Action items pinned to their owners with
fact add --actor, the team found withactor list --tags - Word exports searched next to the meetings, and a confidential one removed with
proj doc delete, plus a local web UI
You need: a MemoryLake API key · the memorylake CLI · Python 3.9+
Run it
git clone https://github.com/memorylake-ai/memorylake-usecases.git cd memorylake-usecases/meeting-memory export MEMORYLAKE_API_KEY=sk-… python3 demo.py # or: python3 web/server.py
Watch it run · real, unedited recordings
Related use cases
Frequently asked questions
Which meeting tools can I import from?
Which meeting tools can I import from?
Otter, Granola, Fathom, Fireflies, Gong, Chorus, Zoom transcripts, Google Meet, Notion, and any tool with a REST API or export.
What about privacy for sensitive meetings?
What about privacy for sensitive meetings?
Per-meeting access scopes plus AES-256 end-to-end encryption. Confidential meetings stay restricted.
Can I delete a meeting permanently?
Can I delete a meeting permanently?
Yes — irreversible deletion with no backup retention is a built-in user right.