Anarlog: Open-source, local-first AI meeting notepad (formerly Hyprnote) by Fastrepl that records and summarizes private meetings on your own device with no bot. Minutes: Open-source, local-first conversation memory layer that records and transcribes meetings, diarizes speakers, and stores searchable notes as markdown for AI agents. Below, they line up on price, capture method, and how each fits a real meeting stack.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Anarlog when engineers and developers wanting private, bot-free meeting notes 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, local-first AI meeting notepad (formerly Hyprnote) by Fastrepl that records and summarizes private meetings on your own device with no bot.
Open-source, local-first conversation memory layer that records and transcribes meetings, diarizes speakers, and stores searchable notes as markdown for AI agents.
Anarlog is an open-source, local-first AI meeting notetaker developed by Fastrepl, Inc., the team behind the project previously known as Hyprnote and Char. It is positioned as an open-source alternative to cloud meeting-notes tools and is designed for people who want to keep meeting data under their own control. Instead of sending a bot into a call, Anarlog captures system audio directly on the user's computer, transcribes it locally, and merges the transcript with short notes the user jots down during the meeting to produce structured, editable summaries with action items. Audio, transcripts, and notes are stored as files on the local disk rather than in an external service, and users can choose between running local AI models or supplying their own API keys for cloud processing. The application is available for Apple Silicon Macs and its codebase is published on GitHub under a GPL license, so it can be inspected, forked, and self-hosted. Anarlog is best for engineers, privacy-conscious professionals, and teams that want bot-free meeting notes with full ownership of their data. 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
Anarlog 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 | Anarlog | Minutes |
|---|---|---|
| Core capability | Bot-free capture via local system-audio recording | Local transcription with whisper.cpp or Parakeet, no cloud audio upload |
| Standout feature | Local transcription with notes merged into structured summaries | Speaker diarization to attribute who said what |
| Team usage | Data stored as files on the user's own device | Plain-markdown output with YAML frontmatter stored on your own disk |
| Integrations | Choice of local AI models or bring-your-own API keys | MCP server exposing tools so AI agents can query meeting history |
| Languages & capture | Open-source codebase available on GitHub | Cross-meeting search, relationship tracking, and action-item extraction |
| Best-fit workflow | Action-item extraction from meeting notes | macOS desktop app plus cross-platform CLI and dictation hotkey mode |
Anarlog
Choose Anarlog if you need engineers and developers wanting private, bot-free meeting notes — strengths include open source with a publicly available codebase.
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.
Anarlog
Minutes
It depends on your workflow. Anarlog is strong for engineers and developers wanting private, bot-free meeting notes, 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.
Anarlog 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.
Yes. Many teams run more than one meeting assistant when the workflows are complementary.
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