@DanKornas: Meeting notes shouldn’t force your audio and transcripts into someone else’s cloud. anarlog (formerly Hyprnote) is a lo…

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Summary

anarlog (formerly Hyprnote) is an open-source, local-first AI meeting notetaker that transcribes and saves meetings as Markdown files on your machine, supporting multiple AI providers and flexible sync options.

Meeting notes shouldn’t force your audio and transcripts into someone else’s cloud. anarlog (formerly Hyprnote) is a local-first, privacy-first AI meeting notetaker for people who want meeting records on their own machines. It helps you capture and revisit meetings by recording and transcribing locally, then saving each meeting as a searchable Markdown file on disk. Key features: • Local transcription – runs on-device, so meeting audio never leaves your machine • Markdown storage – saves every meeting as a .md file you can inspect and search • Bring your own AI – supports OpenAI, Anthropic, Gemini, OpenRouter, Ollama, LM Studio, and OpenAI-compatible services • Flexible sync – works with file-based tools such as Dropbox, iCloud, Syncthing, or git • Self-hosting – clone the repo, build it, and run it yourself It’s open-source (MIT license). Link in the reply
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Cached at: 07/30/26, 07:58 PM

Meeting notes shouldn’t force your audio and transcripts into someone else’s cloud.

anarlog (formerly Hyprnote) is a local-first, privacy-first AI meeting notetaker for people who want meeting records on their own machines.

It helps you capture and revisit meetings by recording and transcribing locally, then saving each meeting as a searchable Markdown file on disk.

Key features: • Local transcription – runs on-device, so meeting audio never leaves your machine • Markdown storage – saves every meeting as a .md file you can inspect and search • Bring your own AI – supports OpenAI, Anthropic, Gemini, OpenRouter, Ollama, LM Studio, and OpenAI-compatible services • Flexible sync – works with file-based tools such as Dropbox, iCloud, Syncthing, or git • Self-hosting – clone the repo, build it, and run it yourself

It’s open-source (MIT license).

Link in the reply

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