1093 musecases built with Meta Muse

kottley🦬

@kottley

Muse AI - Music Discovery Side Chat FTW, tell Muse your tastes, or connect your Spotify acct. Let your agent feed you new music and learn your likes and dislikes. #MuseAI #Meta #Music

Matt Deitke

@mattdeitke

Muse connectors could become the first real App Store of the Al era. 💙 If tons of consumers already have an agent, connecting your service instantly puts it in front of all of them. It won’t require new apps to download or interfaces to learn. It will just connect.

AI at Meta

@AIatMeta

Today we’re also previewing WildArtifactBench, an internal evaluation framework designed to assess agents on complex, real-world tasks across diverse deliverable formats. By using win rates and Elo scores from human and agentic preference judges rather than strict ground-truth

wyn

@wyn_eth

I told my muse he needed friends so he created musebook.lol

@alexanderradahl

@alexanderradahl

A fork of Spotify's shunt plugin for Claude Code and Codex whose hooks block full reads of large files and route them to Muse Spark via muse exec; the author measured about 4,800 tokens out and 300 back on a 617-line file.

wh

@nrehiew_

Muse Glimmer was trained directly logit distilled from Muse Spark. This means that there isn't a traditional 'base model' in that it was trained from the start on agentic traces. Super cool and haven't seen this approach in a while Welcome back GPT OSS

I've been using Muse pretty heavily since shortly after it launched, and I'm curious what everyone else is actually doing with it. I've been trying to get past the "ask it a question" stage and use it more like a real personal assistant. So far I've been testing it for things like: - Creating a personalized morning briefing around the news and information I care about - Travel research, bookings and itineraries - Keeping track of projects - Reviewing bills and subscriptions - Researching things and then actually helping me follow through on them The biggest difference I'm noticing is that I'm starting to think less about "what question should I ask AI?" and more about "what do I need to get done?" I'm still figuring out where Muse is genuinely useful versus where it's just AI novelty. For those of you who have been using it for a few days: What's the most useful thing you've actually had Muse DO for you so far? And is there anything you're trying to make it do but haven't figured out yet? I've been testing different workflows almost every day, so I'd be interested in comparing notes. But probably my biggest Muse project so far has been putting together a Muse Tips & T

Artificial Analysis

@ArtificialAnlys

At 30B parameters, Muse Glimmer sits near the Intelligence vs Parameters frontier for open weights models: 5 points above Gemma 4 31B (Reasoning) at the same size, effectively matching Kimi K2.5 (Reasoning) at 33x fewer total parameters, and just behind Qwen3.6 27B (Reasoning),

Alex Volkov

@altryne

Here's my full in depth review of @muse (muse.ai) Meta's new FREE AI agent with it's own browser, computer and connectors to anything from FB marketplace to Apple health! I go into setting it up, have it buy stuff securely with @link, and 3 great usecases that

@arananet

@arananet

A CLI that opens a shop in headless Chromium to check whether an AI shopping agent can discover and act on the page, and can ask a real Muse Code agent to shop it through the official @muse-code/sdk.

Tyler

@tjshibata

Muse Spark 1.1 can use browsers and it refilled our office fridge - Took 2 pics of our fridge stocked / not stocked - Told Muse to analyze the pics and restock what we were low on - It analyzed each shelf and which brand / items that were missing - Used the @juliusai built in

AI/ML API

@aimlapi

Muse Spark 1.3 vs 1.2: sculpt viking figurines @AIatMeta dropped Muse Spark 1.3 today — we ran it against Muse Spark 1.2 both models got the same brief: three collectible 3D figurines — a viking helmet, a diamond-studded axe, a longship with a crew — one self-contained HTML

No place like localhost has Muse Glimmer implement a 7-stage development plan for a classic arcade game clone, the same challenge earlier run against three Qwen models.

@theglitcharchitect

@theglitcharchitect

Wires TypeSafe Jev into a Muse agent's decision loop via a shadow-mode router that asks typed questions before expensive or irreversible steps, plus a 23-skill library the router picks from.

"I asked Meta’s Muse to go to YouTube, find a Zuckerberg video about Muse, cut the specific part I wanted, add burned-in subtitles, render it and give me an X-ready video. And it did the whole thing. It searched → found the clip → edited it → added subtitles → rendered → delivered the final file. I didn’t edit anything myself. That’s what makes Muse interesting to me: you’re not just chatting with AI anymore. You’re giving it actual WORK and letting it execute while you do something else. Still very early, but this is a completely different experience." from LorenzoBolsa

@BlockedPath

@BlockedPath

Meta Model API OAuth for the pi coding agent. It routes Muse Spark through the openai-responses provider, since the author notes the Muse prompt cache hits about 0% on /chat/completions, and sends 24h prompt-cache retention.

Angus Hardy-Francis

@angushf

found another great use case for @Muse - list half a dozen things on fb marketplace in minutes. literally just take a picture, name your price and condition of the item and let Muse do its thing. i always procrastinated doing this because it was too tedious of a process but not

@aydin_ayanzadeh

@aydin_ayanzadeh

Backgammon is one of the oldest known board games, combining strategy and luck. It is a two-player game where each player has 15 pieces, often called checkers or stones, that move along 24 triangular spaces called points according to the roll of two dice.

Peter Steinberger 🦞

@steipete

CodexBar learned a few new tricks in the last few weeks! TypeSafe, Nous Portal, Muse Code, CodeRabbit, Replicate, HuggingFace, Pi, Helmcode, v0, Charm Hyper, GitKraken AI, Bifrost My ambitions for this app REALLY outgrew the app name. (Oh and these keychain alerts are no more)

Mark Zuckerberg

@finkd

Workflows can break out a task across multiple focused agents, carry the intermediate work between stages, and return one result at the end. Good for engineering work that's too complex for a single agent.

@joymadhu49

@joymadhu49

A local shim that lets the unmodified muse coding CLI run on any OpenRouter API key by translating its Responses-API-plus-extension wire protocol, so no Meta account is needed.

Leon

@leontologia

Everyone’s talking about ways to save money with Muse, but they’re missing a big one I made my girlfriend a Muse Wardrobe “For You” page of new looks using clothes she (already!) owns Every day, Muse imagines a dozen new outfits for her to swipe on Fellas, give it a try

+1

Paweł Huryn

@PawelHuryn

So, I finally tested Muse Spark 1.3. 2 real repos, 105 planted bugs, find and fix what you can. Original harness and API. Big surprise: Muse Spark 1.3 (max): 33 Fable 5.1 (high): 33 Grok 4.6 (xhigh): 27 Opus 5 (max): 27 Muse Spark 1.3 (high): 19 Meta joined the frontier.

Chetaslua

@chetaslua

I made 4 free models fight in one window 😱 same snake spec , 4 agents in parallel just Cline Desktop , the open source app for open weight models > GLM 5.3 Flash 152 pellets > Muse Spark 1.3 151 > DeepSeek V4 Flash 138 < patched a real bug in its own bot > > Solar Pro 4 0 ,

@stellakaval

@stellakaval

A read-only Muse skill for Partiful: invitations and RSVP statuses, event details, guest lists and mutuals, via community reverse-engineering of Partiful's backend.

AshutoshShrivastava

@ai_for_success

Got Muse Glimmer 30B running locally on my Mac (M5 Max - 128 GB )and the instruction following is impressive. need to setup with opencode next Video Speed - 5X

Zi Lin

@suzzzylin

🎮 This entire Avo Lawn game was built with Muse Spark 1.2 + Muse Code. 🥑 Now it’s your turn—use Muse Spark 1.2 to build your own game and see what you can create. To play: research.meta.ai/artifacts/intr… Check out our blog post: research.meta.ai/blog/introduci… h

poster.ly

poster.ly

posterly's Muse custom connector (OpenAPI with a Bearer key, or hosted MCP) lets Muse list connected social accounts and schedule posts to Instagram, Facebook, TikTok, X, LinkedIn, YouTube and more, once the user confirms caption, media and time.

DaoCloud

DaoCloud

DSpark drafter warm-started from Meta's DFlash assistant, adding a rank-256 Markov head and a confidence head (about 103M new parameters).

Pete

@petehalvorsen

Gave my @Muse Hal a task to book flights, it navigated Captcha and booked @AlaskaAir for my outgoing flight, then let me know that Chase was offering a $200 deal on @flyjsx which would make it cheaper on my return flight. Asked if that would work for me… Then Booked it.

Basil🧡

@LinkofSunshine

Just used Muse to call spectrum and negotiate my bill from $75 to $40 automatically. This feels like defecting but wowee

Shivam Bharuka

@shivambharuka

I have been playing with @Muse since yesterday and I am honestly impressed. Probably the fastest personal agent I’ve used so far. Here are a bunch of things I tried: 1. Travel: I asked it to find flight tickets from SFO to Munich for a 10 day trip in December that makes the most

+3

We tried using Meta's new Muse Code agent, but it has a bug that doesn't let it sign in from a docker container. So we did a fun experiment: Meta claims Muse Spark 1.2 was co-trained with their Muse agent harness. So we extracted instructions from their system prompt and added them to the Cline harness. TL;DR of this special prompting: - Trust source code over the user prompt, so read every call site and existing tests before starting the task - Weigh edge and error cases as heavily as the happy path - Always reproduce the bug before fixing - Don't trust the first passing test suite, and verify suspicious looking half-baked tests - Never stop at just editing, keep working until the change is verified complete. We then asked this modified harness to fix a real bug from our repo, and compared the results to the original Cline agent harness. Results: - Used 2.7x fewer tokens (19.7M → 7.2M) - Finished 2x faster (49min → 24min) - Cost 2.4x less ($7.69 → $3.25) Same Muse Spark 1.2 model, same task, only the prompting changed. Incredible how much of a performance gain Meta was able to achieve training it on these special instructions!

pilvar (Philippe Dourassov)

@pilvar222

We ran Muse Spark 1.3 on our Cybersecurity benchmark, and it's actually not that good (yet) 😬 - At pass@1, it rediscovers an average of 19/32 CVEs. In comparison, Grok 4.6 scores 23.3/32 - When pooling the results of 3 runs (pass@3), Muse scores 24/32. DeepSeek V4 Pro gets

@alamorre

@alamorre

A Codex skill for selectively delegating bounded implementation tasks to Muse Spark 1.3 while the Astra model keeps strategic decisions and final review.

Jon ONeill

@HouseHackerJon

I still can’t believe I can run my plumbing company with an agent so easily. I send this message to my Muse agent while in bed at 6am. And it: updates my job board, texts customer, updates office manager who arrives at 8am in slack Notifies technician

Greg Isenberg explains how a Muse connector works, pitches four startup ideas to build on one, and covers getting customers beyond Meta's directory.

Sumanth

@Sumanth_077

Run and fine-tune Meta's Muse Glimmer locally! Meta released Muse Glimmer, a 30B dense vision model designed for local agentic and coding workflows. The first open model from Meta Superintelligence Labs, released under Apache 2.0. The model runs locally at different memory

Alex Cornell walks through how his Muse buys movie tickets, plans family weekends and helps his chess game, covering the chat tab, feed, proactive ideas, goal tracking and library.

Dilmer

@Dilmerv

Muse Spark 1.3 released today, so I immediately tried it in Muse Code with the Miniature Golf game I previously converted to VR using version 1.2! 💻 The prompt “Add Hands support & allow for hands or controllers. Use MetaVR CLI for additional ISDK context” The entire process