#1515th of 49 in Desktop AI appsFor voice, speech and music
anarlog
Local-first meeting notetaker that records device audio without a bot joining
- Stars
- 9.9k
- License
- MIT
- Last commit
- Nov 2026
- Last release
- Oct 2026
- Language
- Rust
8,138 on 20 Apr 20269,864 on 9 Nov 2026
From GitHub's daily star counts.
Checked on GitHub.
Overview
anarlog is a Tauri v2 desktop app (Rust backend, React UI) that captures meeting audio on your device, transcribes it, and generates notes, summaries and chat. Data is stored in local SQLite plus plain files, with Markdown export. Transcription and summarization are configured separately, using on-device models, your own API key, an OpenAI-compatible local server such as Ollama or LM Studio, or optional hosted AI.
Who it is for: People wanting private AI meeting notes on their own machine
Its own README calls it an alternative to Granola.
Ranked among open-source alternatives to Granola (#2 of 5).
Strengths
- No meeting bot; audio is captured on the device
- Transcription and LLM providers can be swapped independently
- Notes and transcripts in local SQLite; Markdown export
- Works with Ollama, LM Studio or any OpenAI-compatible server
Weaknesses
- On-device transcription is described only for supported Macs
- Building from source needs Node 22, pnpm, Rust 1.94, process-compose, Tauri deps
- Hosted AI, CloudSync and sharing depend on the vendor's cloud services
- Enterprise components in enterprise/ are under a commercial license
What it needs
- GPU optional
- Needs SQLite, Ollama or LM Studio (optional), OpenRouter (optional hosted AI), Supabase (optional backend)
- Models: Soniqo, Apple Speech, Apple Intelligence, Soniox (cloud), Claude via OpenRouter (cloud)
- README: alternative to Granola
What changed
From the release notes. No flag means the note does not say so, not that the upgrade is safe.
Quick answers
Is anarlog open source?
Yes. Its code is on GitHub under the MIT license.
Does anarlog need a GPU?
No. It runs on a CPU and can use a GPU when you have one.
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