Start Here: Learn Muse in 10 Minutes

Muse is Meta's family of agents and models: a personal agent that does errands for you, a closed developer model called Muse Spark, an open-weights model called Muse Glimmer, and connectors that let the agent reach other services. This site is an independent, hand-sorted catalog of real things people have built or done with it, each linked to the original post, repo or video. Read this page, pick the path that matches you, and you will know where everything is in about ten minutes.

The 60-second version

Four names cover most of what you will see here:

Name	What it is	Where you meet it
Muse (the personal agent)	An agent that runs errands, manages schedules, fills forms, books travel, browses and buys things, and keeps working after you close the app	iOS, Android, the web at muse.ai, WhatsApp, and Muse for Mac
Muse Spark	Meta's closed-weights reasoning model. Version 1.3 powers the agent and is tuned for long-horizon coding and agentic work	The Meta Model API, Muse Code (a terminal coding agent), and third parties like Vercel AI Gateway and OpenRouter
Muse Glimmer	A ~30B open-weights model under Apache 2.0, distilled from Spark, built for local agents	Hugging Face, Ollama, LM Studio, llama.cpp, MLX, vLLM and others
Connectors	Integrations that give the agent access to a service, such as Gmail, Plaid, Stripe Link or Ticketmaster	Inside the Muse app, plus a developer platform at muse.ai/platform

Some dates for orientation. Muse Spark was announced on April 8, 2026. Glimmer arrived on August 10. The personal agent launched on September 8 in the US for adults 18 and over. Mac support and the developer connector platform followed about ten days later. It is young, and things change weekly.

For the longer explanation, read What Is Muse?.

How this directory works

The catalog is the home page. Everything else is a way of filtering it.

Catalog numbers. Every entry that gets accepted receives a sequential four-digit number, like 0042. The number tells you roughly when it was filed relative to other entries, and it gives you a stable way to refer to a build in conversation.

Receipts. An entry is only filed if it points to a public source: an X post, a Reddit thread, a GitHub repo, a video, a partner announcement or a write-up. That link is the receipt. Where the author reported a number, such as a cost, a run time, a token count or a benchmark score, the entry repeats it and treats it as the author's claim, not ours. Picks can show a reported cost and run time right on the card. A good example is the Minecraft-style world for 10 cents, where the 10 cents is the builder's own figure.

Types. Types describe the kind of source, not the kind of build. There are eight:

• X posts: short demos and results, often with a video
• Reddit posts: longer first-hand reports, many from r/LocalLLaMA and Muse user communities
• GitHub: repos you can clone
• Videos: tutorials, reviews and hands-on tests
• Sites: official partner pages and live products, such as Stripe's Link wallet for Muse
• Skills: connectors, plugins and skill packs for Muse or Muse Code
• Resources: articles, benchmarks, security write-ups and launch posts
• Guides: this site's own long-form explainers, marked with §

Categories. Categories describe what the build does. The catalog has eight: Agents & browsers, Games & real time, Triage & routing, Trading & markets, Content & growth, Research & data, Robotics & devices and Tools & apps. At the time of writing the seed catalog holds a little over 220 entries. Tools & apps is the largest shelf, with 88, and research & data is second with 52. Trading and robotics have four entries each, which honestly reflects how early those uses are.

Picks. A star marks an editor's pick. Picks are entries that show something concrete and checkable, like a repo you can run or a number you can verify. They sort to the top of filtered pages. Around 19 of the current entries are picks, including flight delay compensation in 5 minutes and Muse Glimmer 30B on a 12GB laptop GPU.

Upvotes. Every card has an upvote button. Votes are a reader signal. They do not change catalog numbers or picks.

Submit. If you built something, or found something good, file it. You give us a source URL, a title, one or two sentences on what it does, a type, a category and an author. A human reviews every submission. If it checks out, it gets a catalog number, usually within a few days. Submissions that include real numbers move up the queue.

Pick your path

If you are a builder or developer. You want code that runs and honest numbers.

• Start with Helicon, an open-source desktop app that wraps the Muse Code CLI, and muse-acp, which gets Muse Code into Zed and JetBrains IDEs.
• For local models, read Muse Glimmer 30B on a 12GB laptop GPU and Mozilla.ai's local Glimmer agent that opened a real pull request.
• For connectors, look at the Cloudflare Workers connector starter and 150 one-paste connector skills.
• Then read What Is Muse Engineering? before you design your first connector.

If you are a founder. You want to know where the agent already touches money and where your product could plug in.

• Read the Muse connector platform portal entry and CellCog's explainer of what Meta opened to developers.
• See how a small vertical business fits in with the connector for HVAC and plumbing shops.
• Check the Amazon block to understand the risk of depending on a platform that does not want an agent on it.
• Browse Triage & routing, where the bill-cutting stories live.

If you are a curious user. You want to know what Muse can actually do for you this week.

• Flight delay compensation in 5 minutes, as reported by the author.
• AT&T fiber bill cut from $80 to $40 and the receipt audit that found $1,200 a year in waste.
• How I AI's walkthrough of onboarding, calendar work and shopping.
• Before you connect accounts, read how Meta built safety into Muse and Taylor Arndt's accessibility review.

If you are a researcher. You want benchmarks, teardowns and negative results.

• DataCamp's test of Meta's efficiency claims, which found a net 12% cost increase across three tasks.
• Sebastian Raschka's Glimmer architecture notes.
• Mapping Muse's on-disk agent architecture and the privacy teardown of the Muse apps.
• A negative result on the Dell GB10, which is as useful as any win.

The reading order, if you just want one

If you only have time for one pass, read in this order:

1. What Is Muse?, for the mental model.
2. Meta's launch post for Muse, for the official claims.
3. How Meta built safety into Muse, for how the VM, Sentinel and credentials fit together.
4. Three user stories: flight compensation, the Xfinity phone call, which partly failed, and the Linear connector built in under a minute.
5. One developer story: the Minimal Golf VR conversion with Muse Code, where the author published the plans and prompts.
6. One skeptical read: why Muse Spark 1.3's benchmark scores don't add up.
7. What Is Muse Engineering?, when you are ready to design work for the agent yourself.

After that, browse by category. The shelves are small enough to read end to end.

Frequently asked questions

Is shipwithmuse affiliated with Meta?

No. It is an independent catalog. Meta's own posts appear as entries when they are useful sources, but Meta does not run, review or endorse the site.

How do I get my Muse build listed?

Use the submit form with a public source URL, a short description, a type and a category. A human reviews it. Accepted entries get a catalog number, usually within a few days, and entries with measured numbers get priority.

Are the costs and benchmark numbers verified?

They come from the authors and are labeled that way. We check that the source exists and says what the entry says. We do not rerun anyone's benchmark. Meta's benchmark figures are Meta's claims.

Is Muse available outside the US?

At launch, the personal agent is US-only and limited to users 18 and over (or the local age of majority). Muse Glimmer is open weights, so anyone can download and run it locally, and Muse Spark is also reachable through third-party gateways such as OpenRouter.

What is the difference between Muse Spark and Muse Glimmer?

Spark is Meta's closed model, served through the Meta Model API and Muse Code, and it powers the personal agent. Glimmer is a smaller ~30B open-weights model distilled from Spark that you run yourself on a good GPU or a high-memory Mac.