Productivity
phorminx
A local-first Windows app for dictation and meeting transcription
★ 203 starsMIT
View guide →Privacy-first AI meeting assistant: live transcription and summaries, 100% local on your machine
meetily is an open-source productivity project by Zackriya-Solutions (Zackriya-Solutions/meetily on GitHub). It has 31,540 GitHub stars and 3,444 forks, is released under the MIT license, and was last updated on GitHub on 15 September 2026.
Decide what you want to achieve with meetily and check the README on GitHub for requirements before installing.
Clone the repository from GitHub (or take the packaged install route in step 3 if the README offers one).
Follow the project's documented install commands — the Run section below lists the exact ones — and add any required API keys or models.
Work through the README's quickstart example end to end, then adapt it to your own project or data.
Transcription and summarization run on-device; meeting audio does not leave your machine.
Supports Parakeet and Whisper live transcription, which the project describes as up to 4x faster with its Parakeet path.
Attributes transcript lines to speakers so minutes are readable.
Generates meeting summaries with a local model via Ollama — no cloud LLM needed.
Import existing recordings and enhance/transcribe them after the fact (marked Beta in the README).
Professional audio mixing and GPU acceleration support for better capture and speed.
Get the Meetily source (the repo was formerly named meeting-minutes).
git clone https://github.com/Zackriya-Solutions/meetily.git
cd meetilyMost users should download the latest Windows x64-setup.exe or macOS build from the GitHub Releases page and run the installer.
# download the installer for your OS from the Releases page (see README Installation)Open Meetily, start a meeting recording (or import audio), and let the local models transcribe, diarize and summarize it.
# summaries use your local Ollama model — install Ollama and pull a model first if you want summariesmeetily is maintained by the Zackriya-Solutions organization/account on GitHub, together with open-source contributors, in the public repository Zackriya-Solutions/meetily.
Yes — the code is open source under the MIT license. You can use, modify and redistribute it under that license's terms.
No API key is required for the core workflow — transcription and Ollama summaries are local. An optional custom OpenAI endpoint can be configured if you want it.
Those cloud assistants are effortless but upload your audio; Meetily keeps everything on your machine, free — you provide the computer and a bit of setup.
Clone the repository from GitHub, follow the install commands in the Run section (taken from the project's README), and complete the documented quickstart example before adapting it to your own use case.
A local-first Windows app for dictation and meeting transcription
Privacy-first meeting capture and AI notes that stay on your machine.
Logseq — a privacy-first platform for knowledge management: an outliner over your local Markdown files, with a graph, journals and spaced repetition built in
Local-first assistant that unifies your tasks, notes, docs, and bookmarks.
Private meeting notes with local Whisper transcription on your Mac.
Offline-first to-do app featuring a configurable AI assistant.
The most-starred other Productivity projects in the LibreAI catalogue — the realistic shortlist if meetily is not the right fit.
Real-time global intelligence dashboard: AI news aggregation, geopolitics and infrastructure tracking
Memos — a personal timeline for quick notes: capture short memos in seconds, find them later by search, tag or date; open source and self-hosted
Joplin — the privacy-focused note-taking app: Markdown notes and to-dos on every platform, offline-first, with end-to-end encrypted sync you control
Open-source personal AI assistant & Agent Harness. Plans tasks, runs tools and skills, self-evolves with memory and knowledge. Multi-agent, multi-model, mult…
Logseq — a privacy-first platform for knowledge management: an outliner over your local Markdown files, with a graph, journals and spaced repetition built in
Free and open — grab the source, star the repo, and start creating.