生産性
phorminx
A local-first Windows app for dictation and meeting transcription
★ 203 スターMIT
ガイドを見る →meetilyは、Zackriya-Solutionsが公開しているオープンソースの生産性プロジェクトです（GitHub: Zackriya-Solutions/meetily）。GitHubスターは31,540、フォークは3,444で、MITライセンスの下で公開されています。GitHubでの最終更新は2026年9月15日です。
Privacy-first AI meeting assistant: live transcription and summaries, 100% local on your machine
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 summariesAlso on this shelf: pm-ba-claude-skills — 5 no-cost Claude AI skills for Product Managers & Business Analysts — PRDs.
meetily 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.
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