voice-ai

meetily

Privacy first, AI meeting assistant with 4x faster Parakeet/Whisper live transcription, speaker diarization, and Ollama summarization built on Rust. 100% local processing. no cloud required. Meetily (Meetly Ai - https://meetily.ai) is the #1 Self-hosted, Open-source Ai meeting note taker for macOS & Windows. Understand How to write meeting minutes
31,593 stars+194★ this week3,456 forksRustUpdated 9/15/2026100% free · open source
What it does

Meetily is an AI meeting assistant that provides fast and accurate live transcription, speaker diarization, and meeting summarization, all while maintaining privacy through 100% local processing

When to use it
  • •When you need to take notes during meetings without having to manually jot down every detail
  • •When you want to ensure the privacy and security of sensitive meeting discussions
  • •When you need to quickly review and summarize long meetings to identify key takeaways and action items
Ready-to-paste prompt
Run `cargo run --release -- --meeting-name 'Board Meeting' --output-file 'meeting_notes.txt'` to start a new meeting with the name 'Board Meeting' and save the meeting notes to a file named 'meeting_notes.txt'
Heads up: Make sure you have Rust and Cargo installed on your system, as Meetily is built on Rust and requires these tools to build and run the application
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/meetily && curl -fsSL https://workflowstacks.com/api/skills/meetily/claude-skill -o ~/.claude/skills/meetily/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

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How meetily works
Codeflow
Free to inspect

Meetily is a very large Rust project (~84k lines across 368 code files, plus 3 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, MIT license, has a test suite.

Size
Very large codebase
~84k lines · 368 code files · days to read — use, don't read
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Rust
No API keys detected
Rust 46%TypeScript 30%C++ 10%PowerShell 4%Shell 4%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    CLAUDE.md
    The instructions the AI actually follows
  3. 3
    Cargo.toml
    Dependencies and the commands it exposes
  4. 4
    frontend/src/types/index.ts
    Inside frontend/src/ — the main logic begins here
What's in each folder
frontend/src/Core code — the actual logic170 files
backend/Backend / API40 files
docs/Documentation33 files
frontend/src-tauri/Folder205 files
frontend/scripts/Helper scripts3 files
scripts/Helper scripts3 files
llama-helper/Folder2 files
.github/CI / automation (GitHub Actions)16 files
READMEHas testsDocumentedCI checksMIT licenseUpdated this month
Quick Actions
Details
Creator
Zackriya-Solutions
Language
Rust
Category
voice-ai
Published
12/26/2024

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Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/meetily.svg)](https://workflowstacks.com/skills/meetily?utm_source=github&utm_medium=badge)
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