1093 musecases built with Meta Muse

@harris-ryder

@harris-ryder

Dowser is a read-only MCP connector for Muse that surfaces open class-action settlements, product recalls with refunds, unused card credits, expiring points and birthday freebies, each with an official link.

postiz.com

postiz.com

Postiz's Nevo David shows how to hook Postiz's OAuth MCP server into Muse through the custom-connector path, so Muse can schedule posts across 30+ platforms before an official directory listing.

@aminamos

@aminamos

Native Muse Code plugin that wires in Hindsight memory with one bank per repo, using SessionStart, UserPromptSubmit and Stop hooks to recall and store context across agents. Zero dependencies, runs on macOS, Linux and Windows.

khaled

@eltokh7

Muse Spark 1.1 seems like a very good model. I tested it on Stata Benchmark and it ranks 4th (!) beating Opus 4.7/4.8, tied with GPT 5.5. I like this benchmark because it often catches seemingly good model performing poorly on OOD tasks

Zach Solomon

@ZachSB

This feels significant. I was added to a @muse beta with voice calling. It called contractors just now, sent an email with photos to follow up, and I don’t even need to be present for the estimate. Those who get good at agent to agent are going to absolutely clean up.

tusharjain

@tusharjain

I just completed my first purchase via @Muse and @link . Gotta say, despite using agents all the time, this felt like a new frontier. Watching it use the browser was amazing and the stripe link experience with explicit approvals etc was really good. It was nerve racking

newsroom.spotify.com

newsroom.spotify.com

Spotify's Muse connector lets the agent play music, save songs, build playlists, find podcasts and audiobooks, and schedule listening around calendar events from a conversation.

@stevysmith

@stevysmith

An MCP server and skill that reports live review times for AI app, connector and plugin stores, including Meta Muse, so builders can see how long a connector submission is taking.

@franktheglock

@franktheglock

Meta Model API provider extension for pi that adds Muse Spark 1.1, 1.2 and 1.2-contributor through the OpenAI-compatible Chat Completions endpoint.

Ported a Miniature Golf prototype to VR using Meta Muse Code and the Unity CLI, added dozens of automated tests, and built a website to capture test runs, screenshots and results.

tryai.dev

tryai.dev

TryAI has frontier and open models, including Muse Spark, each build a raycaster, a Rubik's cube, a calculator and a fourth app, and compares the results.

taylorarndt.substack.com

taylorarndt.substack.com

Taylor Arndt retried Muse after Meta Connect with Gmail, Google Calendar, GitHub and her own product-management tool connected, and found it inferred her COO role from calendar data and became useful for ongoing task management.

Design Arena

@DesignArena

BREAKING: Muse Spark 1.2 by @AIatMeta takes 1st for Video-to-Website with an Elo rating of 1279 and impressive scores across all of our multimodal code categories. Muse Spark 1.2 also takes 2nd for Image-to-HTML with an Elo rating of 1252 and 3rd for Image-to-Frontend with Elo

+2

Vivek Sharma

@pucknorris

Yasss just made a connector to tryintern.dev - worked like a charm!

Jamal Hinton

@MalGsx

I have something all men would appreciate and that’s having your agent call, email, and set up your doctor and dentist appointments lol. I wanted to try it with @Muse as a test run. It emailed the office, called and left a voicemail. They got back to me to confirm and that was

malwarebytes.com

malwarebytes.com

Malwarebytes reports Patrick Wardle's finding that a local app can change an undocumented Muse setting to redirect dictation traffic, exposing voice prompts and account auth tokens.

I wanted a quick calories counter for myself, using LLMs to evaluate the calories from pictures of meals + descriptions. I needed to pick a model so I made a quick benchmark. The setup was: - Nutrition5k photos for photo + calories: https://github.com/google-research-datasets/Nutrition5k - A tool with access to calories information from USDA FoodData Central + MEXT - I evaluated models based on how many of the meals they managed to have under 20% of error - All on the same randomly picked 25 meals. Models too big for my machine were run through OpenCode Go/OpenRouter. I've also included Spark 1.3 since it'll supposedly be open weights. Results Model % within 20% Mean bias Median Error Qwen 3.8 27b 16% +64 kcal 148 kcal GLM 5.3 Flash 28% +18 kcal 65 kcal Qwen 3.8 Max 32% -11 kcal 48 kcal Muse Glimmer 30b 32% +25 kcal 92 kcal Qwen 3.8 Flash 36% +2 kcal 91 kcal DeepSeek v4 Flash Vision 40% +52 kcal 65 kcal Muse Spark 1.3 48% -24 kcal 45kcal I know it's not the most scientific benchmark, but it's interesting to see that the order is not really linked to model size. The most interesting for me is how Muse Glimmer 30b trounces Qwen 3.8 27b here. I think it hig

Stream Developers runs Muse Glimmer locally in LM Studio as an always-on coding agent and has it generate a SwiftUI drawing app.

@brn715

@brn715

A deliberately overengineered parody that 'gives you the Zuck', with a deterministic Oracle edition, a prompted Muse Glimmer edition and an MLX QLoRA fine-tune of Muse Glimmer 30B for Apple Silicon.

Jason Rink

@JasonRink

So the @Muse app by Meta is pretty awesome and can post and run Facebook Marketplace listings.

+1

Venelin Valkov pairs Muse Glimmer with Hermes Agent on llama.cpp for a fully free local agent, testing whether a better harness fixes the model's mixed early reviews.

I established an MCP that allows you to provision a phone number for your Muse agent. It allows it to do outbound calling to the U.S. and Canada to any numbers, not just business lines, and also allow it to take inbound calls. Say, if you wanted to build a receptionist. I am looking for people to test this out, and if you're interested, DM me. I'd love to get you some credits to try it out for free. https://www.botphone.tel/products/muse-receptionist

Anonymous

theskillharbor.com

Skill Harbor is an open directory and marketplace of AI skills for Meta's Muse. Sellers publish skills (free or paid) with copy-paste install prompts, so anyone can extend their Muse in seconds. It solves discovery: one curated place to find skills instead of scattered posts and repos. Built end-to-end with Muse.

bilbooo

@bilbooo__

Told Muse to find me some Hondas on FB Marketplace from 2010–2015 as a test, and it worked pretty well. Meta did a great implementation.

promptslove.com

promptslove.com

Ramanpal Singh builds a multi-page company site, a Gridlock puzzle game, a 3D traffic sim, the Shipyard release-notes SaaS and a diagram digitizer with Muse Code for about $10. Spark 1.2 often failed to enforce rules like win conditions.

PHARM.Dabbler

@PharmDabbler

$META Had Muse audit my entire YouTube channel 👌

IMPORTANT This post is meant to provide info regarding the best local models to run on CONSUMER HARDWARE. I am on an RTX 4060 with 8GB VRAM, 16GB of RAM and I am benchmarking models that can run on my computer. If you have sunk several thousands into graphics cards you won't find these statistics much useful. This post is for all the people who can't just install Qwen3.8 27B and call it a day. Additionally, I am not an LLM benchmarking expert. I am a hobbyist and occasional LLM user trying to extract useful information for both me and people on similar hardware. Context For the past few weeks I have been doing some benchmarks of some LLMs that can run on my laptop which only has 8GB VRAM and 16GB RAM. I was mostly toying around while trying to get some useful data about what the best model is for local inference on consumer hardware. This week I decided to make a "final" benchmark that would be way better with more questions, more question categories, newer models (a lot of people complained about the models I had benchmarked before being old but I didn't find most suggested models to be any good) and a better speed benchmark, this time using TTC (Time To Completion) as a pose to

Nicholas

@PositiveInvst

The big thing keeping me from migrating 100% to #muse was the TickTick integration. Asked muse to build it via API - took 5mins. And now I have a robust integration. ChatGPT is no longer my AI of choice. $META @Muse

@sadiksaifi

@sadiksaifi

Pi extension that lets you sign in with a Meta Muse Code subscription via device code and pick meta-muse models, verifying the subscription so it never falls back to pay-as-you-go.

@danny-hines

@danny-hines

A self-hosted mini arcade cabinet on a Raspberry Pi that generates SNES-style games from a player photo and a voice prompt, using Muse Spark to judge art and Muse Image and Muse Voice Transcribe for assets and input.

OpenRouter

@OpenRouter

Muse Spark 1.3 Contributor is also live, and is the cost-efficient tier. Use it now: openrouter.ai/meta/muse-spar…

simonwillison.net

simonwillison.net

Simon Willison notes Muse Spark 1.1 is the first Spark model with an API and that Meta claims big gains in agentic tool calling and computer use.

OpenVINO

OpenVINO

Experimental OpenVINO INT4 conversion of Muse Glimmer 30B that needs development builds of Optimum Intel and OpenVINO.

@kenhuangus

@kenhuangus

Files from a working DeepSeek Harness session against Muse Glimmer 30B served by Ollama on a DGX Spark, including a sample agentic security project that queries an AST call graph.

RadixArk

RadixArk

Mixed-precision NVFP4/MXFP8 checkpoint of Muse Glimmer packed for SGLang, keeping v_proj, down_proj and lm_head at MXFP8.

Josh Elman

@joshelman

Bug report: asked muse to go to Namecheap with a domain I own, to also buy the .org, and set a redirect of both .com and .org to an Instagram handle. It successfully logged in (secure vault), bought the new domain. But told me it did the redirects but they didn’t stick. I went

Justin

@swizzy071

Made a fully fledged finance tracking app with savings goal and tracking and full insights it’s like better than any financial app I’ve had before because all the better features on those apps are paid and muse made it for me and it’s amazing.

@chishiki37

@chishiki37

Benchmark reports on Muse-Glimmer-30B on NVIDIA DGX Spark covering BF16 to Q4 to DFlash (a 10x speedup) and NVFP4 via SGLang, plus a head-to-head against Qwen3.6-27B.

runtimewire.com

runtimewire.com

RuntimeWire reverse-engineered the Muse Code R708.1 binary and found a dormant JavaScript workflow engine, multi-agent orchestration primitives and an environment-gated plugin manager.

kgptalkie.com

kgptalkie.com

KGP Talkie ran three local models on sixteen hard problems on one RTX 5090, comparing accuracy, speed, VRAM and failure modes.