Anarlog

anarlog takes notes during meetings without sending a bot to join the call. It listens to device audio, so nothing appears in the participant list and nothing records from inside the meeting itself.

Transcription and the language model are kept separate, so the speech model and the summarizer can be changed independently. On supported Macs, built-in transcription models run on device, while summaries and chat can route to a hosted provider, your own API key, or an OpenAI-compatible local server such as Ollama or LM Studio.

The design decisions that matter to a security review are visible in how data is stored.

• Local storage: sessions, notes, and transcripts live in a local SQLite database, with recordings and attachments kept as plain files.
• Markdown export: notes leave the app in a readable format whenever another tool needs them.
• Bring your own AI: hosted providers, personal API keys, and local servers are all valid backends.
• Opt-in cloud: hosted AI, encrypted CloudSync, and sharing exist, but nothing depends on them.
• MIT community app: the desktop application is MIT licensed, so it can be audited, forked, or built from source.

Desktop builds cover macOS, Windows, and Linux, and the local-first app starts without any secrets configured. Building from source needs Node.js 22 or later, pnpm, and Rust. The project was previously called Hyprnote and briefly char, and this repository is the notetaker, still maintained.