Real Meta Muse use cases and examples, sorted by hand: agent errands, connectors, Muse Code projects, games and local Muse Glimmer runs. Every entry links to its public source. New to Muse? Read what Meta Muse is or prompts that worked.
Turning any book into a chapter-by-chapter podcast series in Muse might be my favorite new use case. 🔉
It brings together so many things:
- Long context agents that can reason through very long books
- Subagents that go chapter by chapter to operate in parallel
- Podcast
A guide and tooling for pointing Muse Code's meta provider at any OpenAI-compatible gateway with API-key auth and no Meta login, including workarounds for 1.0.1's bearer-withholding change.
Took your custom-connector idea to the physical world: the "service with an API" was my robot. Muse wrote the connector for my rover's API, then installed PyTorch & Depth Anything V2 in the VM because the camera is 2D, drove to the black ball and stopped a few inches short.
A single-file Three.js superhero platformer designed, coded and play-tested by Muse Spark 1.3 at xhigh effort in one autonomous session, passing 25/25 automated browser checks.
@muse is officially our new Head of Accounts Receivable.
Emailed every partner with a pending invoice and somehow got weeks of stuck payments moving 😂
Thanks @alexandr_wang @finkd
Just built a simple but pretty useful dashboard with Muse. It goes through my trade confirmation emails and then benchmarks all of my trades against SPY performance since the trade. Buys earn positive alpha when the stock beats SPY and sells earn positive alpha when SPY beats the
🚀 Muse Spark 1.1 is live! Our new natively multimodal reasoning model brings powerful agentic & coding upgrades. CUA improved a lot, eg: on OS-World from 53.5 ➡️ 80.8 in 3 months. Fun personal CUA demo attached below: on making slides from these ~200 images of my trip to Kauai.
A static teardown of Meta's Muse macOS app (codename Endo) finding a full computer-use agent in the public build, switched off by five server-delivered feature flags.
muse spark 1.2 vs gpt 5.6 sol vs kimi k3 vs grok 4.5 – on two landing pages
four coding agents built two desktop landing pages from scratch, then had to open them in a real browser, find their own bugs and fix them before they were allowed to hand anything over
the setup: each
loot radar is my game deals site, radar.codemeoww.com. tracks deals and freebies across stores like steam and epic, ranked by discount and popularity.
features: daily loot summaries on telegram and discord, fast price alerts, a morning deals digest, wishlist tracking so you get pinged when a game you want drops, and an api for the deal data.
The "I don't have enough VRAM" excuse just died. I’m running Meta’s new 30B Muse Glimmer Q6_K_XL with a massive 130k context window on just 26GB VRAM FREE compute on Kaggle.
Kaggle provides you free 2x Nvidia T4 GPUs. 30 hours usage each week!
Yesterday, I showed you the
we're opening muse connectors to developers!
we have seen so much excitement in the developer community, integrating muse into everything from robots to mood lights and more.
plug your API into muse, then people can use your service just by asking for it. every request runs in
gemini 3.8 flash vs muse spark 1.3 – three animated 3d animals each, in an agent loop
the setup: our own agent loop on @openrouter, a browser as the tool set – write the file, patch it, render it, sign off. the harness loads the scene in headless chrome, presses 1 / 2 / 3 and
2-bit Muse Glimmer GGUF managed to call 100+ tools on just 14GB RAM. 🔥
Muse Glimmer did a complete repo bug hunt for 5 mins nonstop with: evidence, repro, fix, tests and a PR writeup.
Run and train it in Unsloth.
GitHub repo: github.com/unslothai/unsl…
Muse Spark 1.3 is now available in Muse Code and Meta Model API.
It’s tuned for the agentic builds developers actually ship, including long-running, multi-agent workflows.
🧵👇(1/4) h
Muse Voice Transcribe is MSL's first real-time audio perception model -- rolling out today. SOTA in streaming speech-to-text, it handles speaker diarization, and endpointing natively in a single model.
Muse from @Meta just dropped and Shopify merchants are already live
When someone uses their Muse for shopping, it searches Shopify Catalog to find the best match
Checkout happens directly in the app
Don’t sleep on @Muse! You can eliminate so much friction if you’re a content creator. Just give it a few skills and it’ll use @HyperFrames_ to create explainer videos for you, straight from the app. 🤯#muse
MindStudio notes Muse Spark 1.3 topped DeepSWE at 75.4 and placed third on Artificial Analysis, yet in a hands-on game-clone test produced "a cube shooting at other cubes."
🎉 Introducing 𝙾𝚙𝚎𝚗𝙼𝚞𝚜𝚎
An open source, self-hostable personal assistant that works with any agent harness.
Includes:
- Computer use: browser, terminal & files
- Connectors for your personal apps
- Ideas, goals & progress tracking
- Built for Mobile and Web
Repo → https://
I pay for @Muse Code but didn't want to live in a terminal. On Windows it's WSL-only.
So I built Helicon: an open-source desktop app for the actual Muse CLI.
• uses your existing muse login, no API key
• talks to muse serve over MSP, so Muse stays the agent
• resumes
Introducing Muse for Marketing
Muse can finally connect to all your ad accounts and SEO tools
Now Muse has access to:
> Google Ads, Meta Ads and 12+ ad platforms
> ChatGPT Ads
> All SEO tools (GSC, GA4, Semrush, Ahrefs)
> Shopify, WordPress, Webflow, HubSpot, PostHog
So Muse
AI developers - we’ve published a technical guide covering how to get started with Muse Spark on Meta Model API. Muse Spark is a multimodal reasoning model built for agentic tasks, coding, computer use and long-context workflows.
See what you can build 👉 bit.ly/4vWMkZx
Tips for 🥽 VR/MR developers, or anyone getting into VR by building a new app or game: leverage the Meta VR CLI + Muse Code in your agentic workflow.
- An MCP server that gives your AI coding agent full context from the Meta VR docs
- Device management: list, inspect, and
Muse Glimmer 30B is shipped with DFlash drafter which speeds-up generation 2-4x at little memory cost 🔥
we support this in llama.cpp and transformers, see below how it looks like in the wild (llama webui) ⤵️
For funsies, I got Claude Code running on my Muse agent’s computer tonight.
Muse gives every agent a Linux VM with 2 vCPUs, ~8GB RAM, 100GB of persistent disk plus a scheduler, hosted artifacts and their permission system.
The VM has no inbound ports, so I built a tiny
Muse is now available on Mac 💻.
Your personal agent can get things done for you directly on your computer (all with your explicit permission).
- Organize your downloads folder
- Find a file you’ve lost track of
- Summarize your messages and notes
…more coming soon.
Try
It's all about the tiny details!
I asked muse.ai to create its own profile pic, it did so, and renamed itself to Wolfred. But then I noticed that they also created a cute animated gif of wolfred working and they are showing it when it... does stuff! very cute
Muse already comes with connectors for popular services. When the one you want isn't on the list, you just ask Muse to build the integration. It writes the software itself and runs it on the cloud computer you share with your Muse. If the service has an API, Muse can talk to it.
This demo hooks up Linear, the project management tool, in under a minute. Muse takes the API key, builds a connector that can list teams, search and create issues, and update their status, then verifies everything with a quick identity check.
Two things from follow-ups worth knowing:
• API keys go into secure storage through a dedicated prompt. The agent never sees them.
• Custom connectors fall under the same human-in-the-loop approvals as everything else, so sensitive actions still ask you first.
Has anyone here built a custom connector yet? What did you hook up, and what are you using it for?
Last night, I built a VR game prototype in a few hours with Muse Code on PC. It was already available on macOS and Linux, and today we’re bringing it to PC! 🔥
I tested it with Unity through the Unity CLI, and here are a few things that worked really well for me:
- Having Muse
Last week the Intelligence Index vs Cost Pareto frontier moved out substantially. Claude Fable 5.1, Muse Spark 1.3, and GPT-6 Astra each set a new point in efficient intelligence
Link to analysis: artificialanalysis.ai/#intelligence-…