Minutes and Thoth are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Minutes: Open-source, local-first conversation memory layer that records and transcribes meetings, diarizes speakers, and stores searchable notes as markdown for AI agents. Thoth: Privacy-first macOS app that records, transcribes, and summarizes meetings entirely on-device with no cloud or data leaving the Mac. They overlap on ai-meeting-assistants, so the right pick depends on team size, budget, and which meeting workflows you automate.
For ai-meeting-assistants workflows, shortlist Minutes when building a private, searchable memory of meetings and voice notes that ai agents can query matters most, and Thoth when professionals handling confidential or regulated information matters most. Both record across Zoom, Google Meet, and Microsoft Teams; trial each on real meetings before committing.
Open-source, local-first conversation memory layer that records and transcribes meetings, diarizes speakers, and stores searchable notes as markdown for AI agents.
Cross-meeting search, relationship tracking, and action-item extractionLocal transcription with whisper.cpp or Parakeet, no cloud audio uploadmacOS desktop app plus cross-platform CLI and dictation hotkey mode
Privacy-first macOS app that records, transcribes, and summarizes meetings entirely on-device with no cloud or data leaving the Mac.
100% local, on-device recording, transcription, and summarizationDual-channel capture of microphone and system audioExport to PDF, Word, Markdown, and timestamped JSON
Minutes is a free tier with paid upgrades (freemium); Thoth is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
Local transcription with whisper.cpp or Parakeet, no cloud audio upload
100% local, on-device recording, transcription, and summarization
Standout feature
Speaker diarization to attribute who said what
Dual-channel capture of microphone and system audio
Team usage
Plain-markdown output with YAML frontmatter stored on your own disk
On-device speaker detection with color-coded transcripts
Integrations
MCP server exposing tools so AI agents can query meeting history
Whisper-based transcription supporting many languages
Languages & capture
Cross-meeting search, relationship tracking, and action-item extraction
On-device anonymization to redact sensitive content
Best-fit workflow
macOS desktop app plus cross-platform CLI and dictation hotkey mode
Export to PDF, Word, Markdown, and timestamped JSON
Best for
Minutes
Choose Minutes if you need building a private, searchable memory of meetings and voice notes that ai agents can query — strengths include fully local-first and mit licensed, keeping conversation data private and portable.
Thoth
Choose Thoth if you need professionals handling confidential or regulated information — strengths include fully local processing with no cloud requirement and no user database.
Pros & cons
Minutes
+ Fully local-first and MIT licensed, keeping conversation data private and portable
+ Markdown-on-disk format syncs through existing cloud-drive tools and avoids lock-in
- Desktop app is macOS-only; Windows and Linux are limited to the CLI
Thoth
+ Fully local processing with no cloud requirement and no user database
+ Captures both sides of online meetings and works offline
- Requires a Mac with Apple Silicon and sufficient unified memory
FAQ
Is Minutes or Thoth better for AI meeting notes?
It depends on your workflow. Minutes is strong for building a private, searchable memory of meetings and voice notes that ai agents can query, while Thoth is strong for professionals handling confidential or regulated information. Both transcribe and summarize meetings.
How do Minutes and Thoth compare on price?
Minutes is a free tier with paid upgrades and Thoth is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Can I use both Minutes and Thoth?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.