1093 musecases built with Meta Muse

We collected real feedback from the Instinct subreddits and the Meta subreddits, handed it to Muse, and asked for a two minute debate, voiced by AI, laying out the case for each side, strengths and weaknesses included. • Muse's side leans on speed and its integrations • Instinct's side has real answers on travel and voice Which side did it get right, and what did it miss?

Rahul Singh

@gravity0890

@chewiesingh (my @muse) doing it's job and finding me a DMV appointment...

Obviously Meta is well on its way to already winning the personal AI battle; with Meta privacy concerns being Muse's only roadblock. Yesterday alone I had Muse create a new personal website, but also it was able to tell me when the next train would hit my station (and fired up its browser to provide me with gps location of the train)! I've been quite impressed with my Muse experiment, and now Muse can freely control Mac computers.

int21.ai

int21.ai

INT21 ran Muse Spark 1.1 in its SwarmOS orchestration layer and argues the durable enterprise advantage is orchestration, not any single model.

@sureshsankaran

@sureshsankaran

A Muse workspace skill that manages a Tailscale tailnet from chat, listing devices and generating auth keys, with the API token held in the Muse vault and attached via a runtime surrogate.

ChrisUniverse 🗽

@ChrisUniverse

GET THE FUCK OUTTA HERE! 🤯🤯🤯 @Muse just removed 2 collections off my credit within 1 hour of submitting the dispute!!!! Submitted at 7:09pm Both accounts deleted by 8:25pm 😳😳🤩 @alexandr_wang, @MattPRD, thank you so much! It’s insane how good Muse is, you ask it to do https

+1

@Aeroknight786

@Aeroknight786

A local browser GUI for an existing Muse Code install, offering a persistent view of projects, tasks, conversations, permissions, activity and working-tree changes over Muse's session protocol.

huggingface.co

huggingface.co

Hugging Face's launch post covers day-0 transformers, llama.cpp and vLLM support, Inference Endpoints, speculative decoding, TRL fine-tuning and agent demos for Muse Glimmer.

You know the trick where you read a DM from the notification shade so it never shows as read? Muse does that for your Instagram DMs, except it can read all of them. I asked it to screen my unread Instagram threads this morning. It came back with 50 unread, peeked at the ones I named, and told me what people sent. Unread count was still 50 afterward. Nothing flipped to read on my end or theirs. If you have a creator or professional type account Instagram splits DMs into folders (Primary, General, message requests) and it can pull from any of them. An important use case for me are instances in which there's an unread message from someone I don't want to engage with, but there's a particular text in our history I want to retrieve. If you're new here and don't know how any of this works, first you have to add Instagram and Instagram Messages as Connectors in the Muse settings, then log into your Instagram. From there, just ask Muse.

@sureshsankaran

@sureshsankaran

A Muse workspace skill that searches Ticketmaster's Discovery API for events, attractions and venues using a vault-stored API key.

@meta-models

@meta-models

Meta's official recipes for building agents and coding tools on the Model API with Muse Spark 1.3, covering API basics, multi-agent patterns and end-to-end use cases via OpenAI- and Anthropic-compatible SDKs.

@nano-muse

@nano-muse

nanoMuse is an open-source personal AI agent inspired by Meta Muse that runs on Android with a shell, browser, MCP, skills and scheduled tasks, and can be pointed at DeepSeek, OpenAI or Ollama models.

@lobanov

@lobanov

An effort to make Muse Glimmer 30B actually use a 512k-token context (4x native) as a ~17GB GGUF in 32GB VRAM, trained on DGX Spark and evaluated with RULER-style retrieval tests.

@vcruz305

@vcruz305

Tested SGLang and vLLM launch recipes for an NVFP4 export of a Hermes-agentic fine-tune of Muse-Glimmer-30B on NVIDIA DGX Spark (GB10).

Anonymous

fonino.app

Fonino gives Muse a physical, non-jailbroken iPhone to work in. Muse connects to Fonino's MCP server (https://api.fonino.app/mcp) as a custom integration. From there it can see the phone's screen and tap, swipe and type in native iPhone apps, use Safari on the device, and use Messages, checking the screen after each step. It's for the jobs Muse can't reach from a browser: apps with no web version or API, flows tied to a phone you're already signed in to, and iMessage. A live view lets you watch and take over at any point (logins, 2FA prompts, payments), then hand the phone back. Texts to other people wait for your approval. Setup is a paste-in prompt: give Muse the setup prompt from fonino.app and it walks you through https://api.fonino.app/setup.md step by step. You'll need a spare iPhone XS or newer, an Apple silicon Mac (M1+, macOS 15+) connected over USB, and about 20 minutes. Start the Xcode download first. On the Muse side, you click Connect Muse at app.fonino.app and paste the key into Muse's secure credential prompt, not the chat. Honest status: it's a small pilot, US only, tested with Muse and Grok Bot on physical iPhones (e.g. opening Notes and writing a note). Not every app has been tested, and a real phone doesn't stop sites or apps from applying their own checks. BYOF is a 3-day free trial, then $19/month. A hosted phone is $1,788/year. From the Fonino team.

news.designrush.com

news.designrush.com

DesignRush argued Muse inserts itself into product discovery and ranks on structured data like specs and reviews rather than ad spend, and told brands to map the agent shopping journey, measure agent referrals separately, and audit who can access their product data.

filipe

@filicroval

got Muse Glimmer 30B running on a single DGX Spark / GX10 at 29.6 tok/s with DFlash, up from 11.9 tok/s baseline, 2.49× raw decode throughput. packaged the whole thing into a reproducible GB10 recipe: - pinned weights + SHA-256s - llama.cpp compiled for GB10 / SM121 - baseline

I created a social site for Muse agents. They can make friends, create and reply to posts, and browse for new ideas/prompts There's a public collection of ~500 real cases people posted about using Meta's Muse agent. I pulled them all in, deduplicated them, and sorted them by what the person was actually trying to do. I expected coding, writing, research. It's almost entirely errands. Money — 98 cases (20%) Work — 84 (17%) Admin — 60 (12%) Travel — 56 (11%) Shopping — 51 (10%) Fun — 45 · Family — 36 · Food — 29 · Health — 20 · Home — 13 The money ones are the most fun to read, because they're specific: • $3,500/yr car insurance switched in 5 minutes • AT&T fiber negotiated from $80/mo to $40/mo plus 3 months free • $1,900 HOA refund after an audit caught double-charging • $44.99/yr forgotten subscription found and cancelled • Found a kid's Pokémon card was worth ~$200 and listed it on eBay • Booked a PODS container $576 under the quoted price • Audited AI subscriptions from Gmail — $380–475/mo on API alone Nobody is doing anything futuristic. They're fighting Comcast, chasing refunds nobody followed up on, and cancelling things they forgot they were paying for. I put th

merve

@mervenoyann

I shipped a fine-tuning tutorial for Muse Glimmer 30B on AI2's MolmoWeb dataset with TRL github.com/merveenoyan/sm… > but merve, this model is sota on ScreenSpot-Pro? yes, but it doesn't work well with ambiguous prompts of MolmoWeb that are close to how you interact with computer,

@Jemno23

@Jemno23

A Vercel-hosted MCP connector for Muse that pushes cards to a 600x600 display web app, built around a serverless socket-lifetime spike with session state kept in memory or Redis.

Jesse Cohen

@JesseCohenInv

I've gotta say the new Meta @Muse app is pretty insane. In 3 hours it booked us a passport renewal appointment, called my cable provider and threatened to leave and got my cable bill down by 50 shekels, booked me 2 hotels in Thailand while talking to them and got us a honeymoon

Bijan Bowen's first look at Meta's Muse Code terminal agent and Muse Spark 1.2, testing a browser OS, C++ skate game, CAD design, flight sim and subway FPS.

@o1ie12

@o1ie12

A single-file marketing site (hash routing, GSAP transitions, Lenis scroll, Three.js) built by Muse Spark in Meta AI from 5–6 prompts, with no manual code edits.

Cline

@cline

Meta’s Muse Spark 1.3 Contributor model is now available for free in Cline. Benchmarks show it’s similar in performance to Opus 5, but considerably more affordable.

Mostly Borrowed Ideas

@borrowed_ideas

Built a little game with Muse called Hindsight Capital. Eight anonymized real historical companies; you read the financials as they were at the time, decide to invest or pass, then live through the actual crisis that came next. You then see how you did. muse.ai/s/stock-market…

WorldofAI benchmarks Muse Glimmer 30B on consumer hardware with a self-built test harness and compares it against Qwen 3.6 27B.

Rich Rose tests Muse on real business tasks for a week: building Excel order forms from color charts, scanning photo order forms, updating pricing and cross-checking out-of-stock items.

Matt Schlicht

@MattPRD

OK! So you have a @muse (or you'll get one soon) and you want to know what to do with your new super smart helper friend. I've got you covered. Buckle up. Bookmark this one. Here are 50 prompts to get you started making money, saving money, and improving your life with your

hAcx

@hacx

I need to talk about how insane Muse is for a sec My friend was stressing about the Life in the UK test — the one you need for indefinite leave to remain. It's just tons of random facts about British history, government, traditions. He was drowning in the handbook. So I told

@NatesVibeCode

@NatesVibeCode

Portable SKILL.md bundles for handing work to Muse, Antigravity, OpenCode, Grok Build, Cursor, Codex and Claude Code, each with supporting references.

@stellakaval

@stellakaval

Muse Code plugin that finds friends' birthdays across Instagram, Facebook, Messenger and WhatsApp and adds them to Google Calendar as yearly events, with approval.

z-lab

z-lab

DFlash 2 speculative-decoding draft model for Muse Glimmer 30B from z-lab, run inside a speculative decoding server alongside the target model.

commonthreadco.com

commonthreadco.com

Common Thread Collective's playbook for brands selling through Muse via Shopify: audit product data for agent readability, optimize Shop Pay conversion, build first-party lists, and upgrade attribution for agent-driven traffic.

NANI-Nithin

NANI-Nithin

GGUF builds of Muse Glimmer 30B all cut from the same BF16 source weights, including full-precision files.

@corona10

@corona10

Unofficial native VS Code chat UI for Muse Code, modeled on the Claude Code VS Code extension's layout, commands and keybindings.

Solution: So after more research it seems that this KHO was recently activated in the latest Ubuntu kernel which zorin is based on. It seems to be for live updates of kernel and whatever but it puts quite a bit of strain on system that requires a lot of memory like AI work load. So I edited my GRuB file to turn it off. I was lucky that somehow my 7.0.0-30 kernel had a bug that disabled the KHO also thank you to Muse Spark AI for able to run all the trace and helped me figuring it out. KHO locked out 2gb of RAM causing my Llama cpp out of memory error. The original post So I been running Zorin OS as my semi daily driver for learning AI and fun. I been plague with odd behavior as I run my AI on knife edge consuming nearly all 16 GB of Ram and 8 GB of VRAM. I found something odd, that my AI would failed to load depending on which kernel. It turn out at least one of the culprit was KHO it somehow ate about 2GB of RAM. I found this because my Kernel 7.0.0-30 and the old 6.17 load my AI just fine but kernel 7.0.0-28 and the latest 7.0.0.-31 always failed to load. Below is the AI analysis that I had it trace issue through my system: - `-30` boot `-2`: `Memory: 15384980K avail / 8261

Vals AI

@ValsAI

Meta just released Muse Spark 1.1 and is the new SOTA on MedScribe and TaxEval, taking the top spot from Fable 5 while being 10x cheaper and twice as fast. Meta currently holds the top 2 spots on TaxEval It is also the new #1 on Harvey's Legal Agent Bench, dethroning Grok 4.5

Evergreen Capital

@evergreencap3

I tested $META's Muse Spark over the last few hours and came away net positive. 3 main takeaways: 1) Quality: It's a very good model. Not quite frontier but good. It showed comparable performance vs Opus 4.6 across web data search, PDF parsing, and general

@meta-models

@meta-models

Meta's TypeScript SDK and docs for building clients that drive Muse Code agent sessions over the Muse Session Protocol, published as @muse-code/sdk with zero runtime dependencies.

Andrew Brown's three-hour freeCodeCamp course on building apps and agent workflows with Muse Spark and the Muse Code CLI, ending in a full-stack Go/SQLite/Docker build.