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AutoDemo

Demos as code. Turn any running web app into demo videos, interactive walkthroughs, and marketing captures — in one command. Regenerated by CI, so they can never go stale.

CI npm License: MIT MCP

Product page · Quick start · GitHub Action · For AI agents · Recipes · Contributing


autodemo demo "Sign up and open the dashboard" --url http://localhost:3000

That single command drives a real browser through your real app and produces:

Artifact

What it's for

video.mp4

launch posts, landing pages, PR descriptions — cursor, click rings, human-paced typing

index.html

static, embeddable interactive walkthrough (step screenshots + notes, keyboard navigable)

assets/*.png

named marketing captures of real UI regions, for homepages and decks

run.json

reproducible metadata — timings, steps, artifact contract for tooling

The teaser below was generated by AutoDemo, about its own product page, in CI:

AutoDemo teaser

Why

Demos and screenshots rot the moment the UI changes. Re-recording them is manual, slow, and always last on the list. Interactive-demo SaaS tools fix freshness with $300–500/month plans, per-seat pricing, and a browser extension that captures snapshots into their cloud.

AutoDemo treats demos like the rest of your software:

  • Versioned — scenarios are YAML in your repo, reviewed like code

  • Reproducible — deterministic Playwright steps, or AI steps when you want speed

  • Continuous — a 5-line GitHub Action regenerates everything on merge; a failing demo is a failing user flow

  • Yours — runs on your machine and your CI; no cloud, no telemetry, MIT licensed

Related MCP server: mcp-video

Quick start

One-line install (macOS / Linux / WSL — installs Bun, the CLI, and a browser):

curl -fsSL https://raw.githubusercontent.com/praveen-palanisamy/autodemo/main/install.sh | bash

Or zero-install / per-project:

bunx autodemo --help          # Bun
npm add -D autodemo           # or as a dev dependency
bunx playwright install chromium

1. The magic moment (AI-authored)

With any LLM key in your env (ANTHROPIC_API_KEY, OPENAI_API_KEY, GOOGLE_API_KEY, GROQ_API_KEY — or a local OLLAMA_HOST, auto-detected):

autodemo demo "Sign up, create a project, open the dashboard" --url http://localhost:3000

Watch the browser do it, then open the printed video.mp4 and walkthrough. Add --save to keep the scenario for replay.

2. Deterministic demos (no LLM needed)

autodemo init   # writes a commented .autodemo.yml
scenarios:
  signup:
    description: "Signup with readable typing and click highlights"
    steps:
      - type: goto
        url: /signup
      - type: fill
        selector: "[data-testid=email]"
        value: "maya@example.com"
        typing: true
      - type: click
        selector: "[data-testid=submit]"
      - type: waitFor
        text: "Dashboard"
      - type: screenshot
        name: dashboard-hero
        selector: "[data-testid=dashboard]"
autodemo run signup --url http://localhost:3000          # one scenario
autodemo run --all --url http://localhost:3000 --headless # all of them (CI)

3. Keep them fresh forever (CI)

- uses: praveen-palanisamy/autodemo@v0
  with:
    url: http://localhost:3000

Full inputs and recipes: docs/GITHUB_ACTION.md.

For AI agents

AutoDemo is agent-native: coding agents use it to show their work — a demo video on every PR.

bunx autodemo mcp --no-tui    # MCP server over stdio

One-line registration for Cursor / Claude Code / Codex, JSON CLI contracts, and a drop-in rules snippet: docs/AGENTS.md.

Features

  • Any LLM, or none — OpenAI, Anthropic, Google, Groq, Ollama/local, any OpenAI-compatible endpoint; deterministic scenarios need zero keys

  • Authenticated flows — reusable browser storage state; login once, demo logged-in forever

  • Marketing-grade output — dev overlays hidden, loading noise trimmed (videoStartStep), named region captures, custom cursor & click highlights

  • Story tools — on-screen narrate beats, per-step notes in walkthroughs

  • Interactive TUI — wizards for recording and running (autodemo record --interactive)

  • CI-grade--json output, stable exit codes, trace.zip on failure, artifacts contract in run.json

How it compares

AutoDemo

Demo SaaS (Supademo, Arcade, Storylane…)

Screen recorders

Price

Free, OSS

$300–500/mo for HTML capture, per-seat

$10–30/mo

Freshness

Regenerated in CI

Manual re-capture

Manual re-record

Output

Video + walkthrough + stills, one run

Usually one format

Video only

In git / code review

Agent-operable (MCP)

The SaaS tools are great for no-code editing, analytics, and hosted demo hubs. AutoDemo is for teams who want demos to be build artifacts.

Docs

CLI reference

commands, flags, exit codes

Configuration

.autodemo.yml, step types, LLM providers, auth state

GitHub Action

demos in CI

AI agents

MCP setup, JSON CLI, rules snippet

Recipes

copy-paste scenarios

Architecture

engines, runner, artifact pipeline

Testing · Local CI

development workflows

Requirements

  • Bun ≥ 1.3 (the installer sets it up)

  • Playwright Chromium (one-time bunx playwright install chromium)

  • ffmpeg for MP4 export (optional — everything else works without it)

Contributing

The 15-minute setup, project tour, and good first issue list live in CONTRIBUTING.md. The lowest-friction contribution is a scenario recipe.

bun install && bun run playwright:install
bun test && bun run lint && bun run typecheck

License

MIT © Praveen Palanisamy and AutoDemo contributors.


A
license - permissive license
-
quality - not tested
B
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

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