ai-agent

Meet

2,309 stars346 forksTypeScriptUpdated 4/23/2026100% free · open source
What it does

Meet is an open-source, video conferencing platform that allows for self-hosted, peer-to-peer meetings with end-to-end encryption.

When to use it
  • When building a secure and private video conferencing solution for your startup
  • When needing to integrate video conferencing into your existing application or platform
  • When seeking an alternative to proprietary video conferencing solutions
Ready-to-paste prompt
npm run start && open http://localhost:8080/#/room/my-meeting-room
Heads up: Meet requires a recent version of Node.js (at least 16.14.0) and npm to be installed, and also needs a working WebSocket setup on your server for peer-to-peer connections to work
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/meet && curl -fsSL https://workflowstacks.com/api/skills/meet/claude-skill -o ~/.claude/skills/meet/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

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How Meet works
Codeflow
Free to inspect

Meet is a large TypeScript project (~22k lines across 165 code files). It is a full software project: use it through its install path rather than reading it end to end. Last commit 5 months ago, Other license, has a test suite.

Size
Large codebase
~22k lines · 165 code files · ~3 h to skim
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Node.js
No API keys detected
TypeScript 73%Rust 15%JavaScript 11%CSS 1%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    server.ts
    Where the program starts running
  3. 3
    package.json
    Dependencies and the commands it exposes
  4. 4
    app/utils/playSound/index.ts
    Inside app/ — the main logic begins here
What's in each folder
app/Core code — the actual logic147 files
rust-mls-worker/Folder7 files
migrations/Folder5 files
e2e-tests/Folder1 files
public/Images & static assets20 files
.github/CI / automation (GitHub Actions)2 files
.vscode/Editor / agent settings2 files
READMEHas testsThin docsCI checksOther licenseUpdated 5 mo ago
Quick Actions
Details
Creator
cloudflare
Language
TypeScript
Category
ai-agent
Published
3/25/2024

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