Memory Notch
CLOUD SCRIBES
Memory Notch vs Fireflies.ai
A meeting recorder built around the CRM, aimed at revenue teams.
| Memory Notch | Fireflies.ai | |
|---|---|---|
| Where the audio goes | Nowhere | To Fireflies' servers |
| Processing | On the Neural Engine | Cloud |
| Bot in the call | No | Yes, a participant joins the meeting |
| Speaker labels | Yes, on-device | Yes, in the cloud |
| Platform | macOS 26 | Web, iOS, Android |
| Open source | No | No |
| Price | Not released yet | Pro from about $10-18/user/month |
Details checked September 2026 against Fireflies.ai's own documentation. Prices move; treat the figure as a starting point, not a quote.
What Fireflies.ai does well
- Deep CRM coverage: Salesforce, HubSpot and Pipedrive sync without glue code.
- Conversation intelligence across a whole team's calls, not one person's.
- Broad integration surface and an API worth building on.
What it costs you
- Recordings and transcripts sit in a vendor account by design.
- A bot in the room is part of the product, not an option.
- Aimed at teams; heavier than one person taking notes needs.
Where Memory Notch is different
Memory Notch does the transcription and the speaker separation on your Mac's Neural Engine. There is no account, no telemetry and no API key, and a recording is never sent anywhere. The models download once, and after that a recording transcribes with the network off. Each one becomes a directory of plain Markdown in ~/memory, which means the AI tool you already use can read it by path: no MCP server, no export step, no API.
It is also a smaller thing than Fireflies.ai. One Mac, one person, no team workspace and no integrations. If you need a shared archive or a CRM, Fireflies.ai is the better tool and this page is not trying to talk you out of it.