Attendee: Open-source, self-hostable meeting bot API that sends bots into Zoom, Google Meet, and Microsoft Teams to capture recordings and transcripts. Minutes: Open-source, local-first conversation memory layer that records and transcribes meetings, diarizes speakers, and stores searchable notes as markdown for AI agents. Which one wins depends on your platform mix, budget, and how hands-off you want notes to be.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Attendee when developers embedding meeting recording and transcription into their own saas products matters most, and Minutes when recording and transcribing calls locally for users who refuse cloud meeting tools matters most. Try them side by side on real calls before deciding — needs vary by team.
Open-source, self-hostable meeting bot API that sends bots into Zoom, Google Meet, and Microsoft Teams to capture recordings and transcripts.
Open-source, local-first conversation memory layer that records and transcribes meetings, diarizes speakers, and stores searchable notes as markdown for AI agents.
Attendee is an open-source REST API, developed by Attendee Labs, that abstracts the engineering work of building meeting bots into a single developer-friendly interface. Instead of maintaining separate bot stacks for each video platform, developers send one API request and Attendee dispatches a bot that joins a Zoom, Google Meet, or Microsoft Teams call, then returns recordings, transcripts, and real-time media streams. It is built on widely used, battle-tested technologies such as Django, PostgreSQL, and Redis, and is designed to run from a single Docker image so teams can self-host it on their own infrastructure for data residency, compliance, and cost control. The project documents real-time transcription, webhooks, calendar integration, scheduled meetings, and websocket audio input/output. Because it is open source and self-hosted, organizations in regulated industries can keep meeting audio and transcripts inside their own environment rather than routing them through a third-party vendor. The repository is actively maintained with frequent releases, and the project markets itself as a lower-cost alternative to closed-source meeting-bot platforms for developers who want to embed meeting capture and transcription into their own applications. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Minutes, built by Mat Silverstein, is an open-source, privacy-first conversation memory layer that captures meetings, calls, voice memos, and dictation and turns them into searchable, AI-accessible notes. It transcribes audio locally using whisper.cpp or Parakeet so audio never has to leave the machine, performs speaker diarization to separate voices, and extracts decisions and action items, writing everything to the user's own disk as plain markdown files with structured YAML frontmatter. Because the output lives in a local folder (for example ~/meetings/), the notes can sync across devices through iCloud, Dropbox, or Google Drive and can be read directly by AI tools. A central design goal is integration with AI assistants: Minutes runs an MCP server exposing a large set of tools so coding and chat agents such as Claude, Codex, Gemini CLI, and others can query past conversations, track relationships across meetings, and surface what was promised to whom. It ships as a macOS desktop app with a menu-bar recorder and AI assistant, plus a cross-platform command-line interface, and includes a dictation hotkey mode. The project is MIT licensed, installable via Homebrew, and actively maintained with frequent releases, making it a fully self-hostable option for people who want durable, private, searchable meeting memory rather than a cloud subscription. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Attendee is a free tier with paid upgrades (freemium); Minutes is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Attendee | Minutes |
|---|---|---|
| Core capability | Unified REST API for deploying bots to Zoom, Google Meet, and Microsoft Teams | Local transcription with whisper.cpp or Parakeet, no cloud audio upload |
| Standout feature | Meeting recording and transcript retrieval through API endpoints | Speaker diarization to attribute who said what |
| Team usage | Real-time media pipeline with websocket audio input/output | Plain-markdown output with YAML frontmatter stored on your own disk |
| Integrations | Webhooks for event-driven workflows | MCP server exposing tools so AI agents can query meeting history |
| Languages & capture | Calendar integration and scheduled-meeting support | Cross-meeting search, relationship tracking, and action-item extraction |
| Best-fit workflow | Single Docker image self-hosting built on Django, PostgreSQL, and Redis | macOS desktop app plus cross-platform CLI and dictation hotkey mode |
Attendee
Choose Attendee if you need developers embedding meeting recording and transcription into their own saas products — strengths include fully open source and designed for convenient self-hosting, keeping meeting data on your own infrastructure.
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.
Attendee
Minutes
It depends on your workflow. Attendee is strong for developers embedding meeting recording and transcription into their own saas products, while Minutes is strong for building a private, searchable memory of meetings and voice notes that ai agents can query. Both transcribe and summarize meetings.
Attendee is a free tier with paid upgrades and Minutes is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Often yes: teams combine tools when one handles capture and another handles analysis.
More head-to-head comparisons involving Attendee and Minutes.
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