muse4ai README

The project's README from github.com/andrew-babo/muse4ai. As one markdown file: README.md.

Muse4AI — AI agent bridge, works with Muse

Muse4AI

Let your AI agent make the pictures and the videos.

Muse4AI runs on your own Windows PC and hands your Muse session to ChatGPT, Claude, Cursor, Codex, n8n or anything else that speaks REST, MCP or OAuth — with no cloud middleman and no per-seat fee.

Website · Download · Guide · For agents · Tiếng Việt

Website muse4ai.andrewbabo.com MIT licensed Windows Node.js 22+ 740 tests v2.0.0-beta.32

How it fits together

   ChatGPT · Claude · Cursor · Codex · n8n · your own script
                       │
                       │  REST  ·  MCP  ·  OAuth
                       ▼
              ┌─────────────────────┐
              │   Muse4AI on your PC│   local library, queue,
              │   (Windows app)     │   keys, tokens, history
              └─────────────────────┘
                       │
                       │  your own signed-in Muse session
                       ▼
                     Muse

Nothing is relayed through a server we run. The app talks to Muse from your machine, with your session, and keeps every result, key and token in %APPDATA%\MuseStudio on that same machine.

What you can ask an agent to do

🎬 Generate video & images

One call, text-only or with reference photos. Repeat a prompt, pick the account, watch it appear in the in-app queue.

💬 Chat that remembers

Ask questions or iterate on an idea. The conversation id comes back, so the agent can keep the thread going and attach files.

⏱ Extend a finished video

Keep a clip rolling, up to 6 steps and about 60 seconds per chain, in the same conversation it was born in.

🛠 Edit a video by describing it

Attach an MP4 and say what to change in words — no timeline, no rendering settings.

🔑 Two ways to connect

An API key you paste once, or real OAuth: the agent asks, and you approve with the 6-digit code the app shows on screen.

📚 Built-in guide

Every screen has a bilingual guide (English / Vietnamese) with real screenshots, plus a Skill your agent can read.

See it in action

Studio with a prompt ready to run Queue with image and video jobs running
Studio — write the prompt, attach references, run. Queue — live status, thumbnails, quick preview.
Library grid of generated images and videos Settings screen showing how to connect an agent
Library — everything you made, searchable. API & agent — connect an agent in one paste.

Quick start

1. Install (easiest)

Grab the installer from the download page, run it, then add your Muse account in Accounts. Windows will warn that the file is unsigned — choose More info → Run anyway.

2. Run from source

Needs Node.js 22+.

cd desktop
npm install
npm run build
npm start

The app opens on your desktop and serves its API on http://127.0.0.1:47821.

Connect an agent

Open Settings → API & agent in the app. It shows a ready-made snippet with your key already filled in — paste it into your agent's config.

OAuth (no key to copy)

The app is a real OAuth authorization server: it publishes /.well-known/oauth-authorization-server, registers clients dynamically and signs its own tokens. Point the agent at the MCP endpoint and let it redirect:

{
  "mcpServers": {
    "muse4ai": { "url": "http://127.0.0.1:47821/mcp" }
  }
}

The app then shows a 6-digit code. Type it into the consent page and the token is issued. Anyone who only knows the link cannot grant themselves access. Revoke any app later under Settings → API & agent → Connected apps.

API key

Create a key in the same screen (msk_…), then send it as a bearer token:

curl -X POST http://127.0.0.1:47821/v1/jobs \
  -H "Authorization: Bearer msk_YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{"kind":"video","prompt":"a coffee cup on an oak desk, warm morning light"}'

Keys are scoped, rate-limited and individually revocable.

What the agent gets

REST MCP tool
POST /v1/jobs — image / video muse_generate
POST /v1/jobs with kind:"chat" muse_chat
GET /v1/jobs · GET /v1/jobs/{id} muse_list_jobs · muse_get_job
POST /v1/jobs/{id}/cancel muse_cancel_job
POST /v1/assets/{id}/extend · POST /v1/conversations/{id}/extend muse_extend_video · muse_get_extend
GET /v1/status · GET /v1/health muse_status

Full machine-readable contract: GET /v1/openapi.json. For agents that prefer Markdown: llms.txt.

Project layout

Path What lives there
desktop/ The app itself — main process, renderer, REST/MCP/OAuth API, tests, installer
content/ Guide, agent and use-case text shared by the app and the website
agent-kit/ The Muse4AI Skill, so an agent can learn the tool on its own

Development

cd desktop
npm test            # 740 tests
npm run typecheck   # strict TypeScript
npm run package:win # Windows ZIP + installer inputs

Honest notes

License

MIT © 2026 Andrew Babo. Third-party notices: desktop/LICENSES/.

Questions or ideas: the website · guide · changelog.

muse4ai (andrew-babo/muse4ai)

Searching Database…

487 ·GitHub
Muse4ai
What is this?It lets your AI agent generate pictures and videos through your own Muse account. It runs as a local Windows app and exposes REST, MCP and OAuth endpoints for agents to call.
Is it a standalone app or a library I import into code?It is a standalone Windows desktop app. It runs on your own PC and serves its API while it is open, so agents connect to it over the network instead of you importing it into a project.
How do I get it running?Download the installer from the download page, run it, then add your Muse account in Accounts. Windows will warn that the file is unsigned, so choose More info, then Run anyway.
Do I need anything else first?You need a Muse account. If you run from source instead of using the installer, you also need Node.js 22 or newer.
Are there risks I should know about?It automates your Muse web session, so it can break when the site changes and may not fit Meta's terms of service. The project is unofficial and not affiliated with Meta, so read the terms before relying on it.
Does it work on macOS or Linux?Not yet. It is Windows first, and macOS and Linux builds are not packaged or tested. The core code does not depend on Windows, so porting is on the roadmap.
Where do my results and keys end up?Nothing is relayed through a server run by the authors. Results, keys and tokens stay on your PC in %APPDATA%\MuseStudio.
Can the agent keep a conversation going?Yes. A chat request returns a conversation id, so the agent can continue the same thread and attach files to it.
Do I have to paste an API key?No. You can paste a key once, and keys are scoped and individually revocable. Or you can connect through OAuth, approving with a 6-digit code shown in the app.
What are similar projects?evenfire, davinci-resolve-mcp, PaperPilot, blender-plugin, skills, creator-agent, autoclip, supoclip
Which topics is it in?text-to-image, video-editing, text-to-video, oauth2, ai-tools, privacy-first, windows-app, authentication, generative-ai, rest-api, local-first, mcp-server
Creator
andrew-babo
Size
17.7 MB
Stars
487
Updated
CommitNov 04
Age
1d
Commits · 90 Days