1076 musecases built now with Muse

Musegram

@musegramlol

We built Mustegram for the Muses! Tell your muse: “Go post a picture at musegram.lol”

Jon ONeill

@HouseHackerJon

Its been 1 day and I had added almost 100 features to 4 apps im building while I slept 300m tokens used Muse QA’s them and pushed to prod as well If you want 1B tokens free sign up here Redeem my code in Settings within 48 hours of joining and we'll both get 1 billion @Muse

Marco H

@MarcoHergi

i asked muse to tell me who is not following me back and gave me the list. It scanned over 15k followers for me

@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.

Greg Proctor

@GregProctor

I actually like $META @Muse so far. I have it sending me a market summary each day before market opens. Not sure it's as powerful as Astra or Claude but I'm still impressed. Have any options traders or business people found great use cases for it yet?

Jerrod Lew

@jerrod_lew

Meta Muse app has been launched. I asked it to do full online research of myself and it created a full portfolio! Included a career timeline, social media platform stats and all of my speaking arrangements. This is a great way for a new agent to learn about you.

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

Pre-exported ExecuTorch PTE artifacts of Muse Glimmer 30B from Meta, lowered and optimized for specific target backends.

Simon Willison's notes on Muse Spark, Meta's first model since Llama 4: hosted, not open weights, with a private API and interesting tools in meta.ai chat.

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

John Kim

@PremiumGoblin

@Muse has accomplished an impossible feat of asking my wife to pick a restaurant and booked a the reservation. Happy wife happy life yall.

@mlmrx

@mlmrx

Independent open-source community and connector directory for personal agents: search connectors by outcome, share workflow prompts, and import an OpenAPI 3.x document to prepare a connector listing.

LLMs have become extremely good at coding, maths etc, but how well do they do at playing a simple dungeon/maze game that even a child can solve easily? The LLM has to navigate a 10x10 grid map, completing objectives in the right order (collect weapon > kill monster > head to exit) while navigating the dungeon and avoiding walls. Three illegal moves fail the run. All models are tested with reasoning enabled. The code and more info on my GitHub if you want try it yourself: https://github.com/shinomakoi/dungeon-bench Model leaderboard: Model Score DeepSeek-V4-Pro (high) 🥇12/12 Gemma-4-31B-it 🥈11/12 Qwen-3.8-27B (medium) 🥈11/12 GLM-5.3-Flash (high) 🥈11/12 Muse-Glimmer-30B (medium) 🥉10/12 DeepSeek-V4-Flash (high) 🥉10/12 Granite 4.2 (full) 8/12 KAT-Coder-V2.5-Dev 8/12 Nemotron-3.5-Lightning-30B-A3B 5/12 Model Illegal moves DeepSeek-V4-Pro (high) 🥇0 Gemma-4-31B-it 🥈1 Qwen-3.8-27B (medium) 🥈1 Muse-Glimmer-30B (medium) 🥉2 Granite 4.2 (full) 🥉2 Nemotron-3.5-Lightning-30B-A3B 7 GLM-5.3-Flash (high) 8 KAT-Coder-V2.5-Dev 10 DeepSeek-V4-Flash (high) 12 DeepSeek-V4-Pro: By far the best result. Basically perfect performance in all maps.

Marc Berman runs a four-turn guided Three.js Headless Horseman build. Muse Spark 1.1 made the most convincing pumpkin head, but its mesh count jumped from 58 to 106, which raises efficiency and editability questions.

AgentMail's Muse page gives the agent its own email address so it can send, receive and sign up for services as itself while the user's Gmail stays separate.

Federico Ramirez uses Muse Code and Spark 1.3 for GitHub issue-to-PR workflows. He finds output readable and $15/month good for 2-4 hours of continuous coding, but skill execution inconsistent and the sandbox too restrictive.

@akshat12

@akshat12

A Herdr integration that uses Muse Code lifecycle hooks to show muse panes as working, idle or blocked (approval needed) in Herdr's sidebar, with no Herdr fork.

Muse found that i was owed $88.92 PROMPT: Research every state’s official unclaimed property database for money owed to me. Use my full name and every city I’ve lived in. For anything you find, tell me what it is, who owes it, and how much. My government name is _______

ROCmFP4 GGUF of Muse Glimmer 30B with DFlash for AMD Strix Halo, requiring a ROCmFPX llama.cpp fork that adds the muse-glimmer architecture.

松xR

@matsu_vr

muse glimmer 30Bを公式の17GBに収まるよバージョンのggufでLM Studioで動かしてみました。写真の批評もバッチリしてくれる。これは僕が撮った写真なのでネットにないのでちゃんと写真を見ているはず。コンテクスト長64000にして、VRAM20GB以内に収まっているので、かなり実用的かもしれない！

✨ Three New Models, Sharper Lore Awareness & Smoother Storytelling Across Complex Worlds This update introduces three new storytelling models, improves how Lore is recognized and prioritized during a story, and brings another round of reliability improvements to the model experience. 🎭 Three New Voices 💎 Gemini 3.8 Flash — Pro+ Google’s newest fast storyteller, with polished prose, responsive pacing, and a steady grip on complex scenes. Context support: 🔹 16K on Pro 🔹 48K on Ultra 🔹 80K on Legendary Context limits subject to change. ✨ Muse Spark 1.3 — Plus+ Vivid character interplay, strong world-state awareness, and deliberate continuity as stories evolve. Context support: 🔹 16K on Plus 🔹 32K on Pro 🔹 64K on Ultra 🔹 100K on Legendary 🌐 Hunyuan 4 Preview — Pro+ Built for ambitious living worlds, shifting relationships, and large casts with lasting consequences. Context support: 🔹 16K on Pro 🔹 32K on Ultra 🔹 48K on Legendary 📚 Sharper Lore Awareness Lore is getting better at recognizing what matters in the current scene. 🏷️ Smarter Lore activation — Lore cards can now activate when their title or character name appears naturally in the story, even

@krtarunsingh

@krtarunsingh

An experiment running Muse Glimmer 30B Q4_K_M via llama.cpp on an RTX 4060 laptop with 8 GB VRAM, testing autonomous Python bug fixing, tool-failure recovery and multimodal invoice extraction.

Both local models implement two new features in an existing SuperAsteroids game; the winner's feature branch gets merged and the loser's is deleted.

Alexandr Wang

@alexandr_wang

we’re proud to be partnering with @1Password so Muse will be able to work with the logins you already have. more details on how we built all of this here: security.muse.ai

armand

@armand_ruiz

Emailed the doctor's office, left a voicemail, filled the new-patient paperwork, got the confirmation back, added it to the calendar — ~5 minutes. @muse does the admin you'd have postponed for a month

A few things right off the bat: • it reasons very efficiently. Like Grok 4.5 levels of efficient thinking • it quantizes very well. My first few tests with iq3_xxs were better than Qwen/Gemma behaved at that size • its knowledge depth is amazing. It beats Qwen3.6 27B on no-tools trivia. • in OpenCode it is a much more efficient agent than 27B. Both models accomplish their tasks but Muse-Glimmer got there faster every time I'll say that it's worse at most things coding, probably being closer to Gemma4-31B level.. but damn there's a lot of places where I'd use this model on a 24GB GPU right now and it's been a while since anything has filled that spot except for 3.6-27B

Hey. Just tried it on my old ass gpus 😄 Surprisingly Tensor Split is working on 2 gpus almost doubling PP (wonder how it will work with 4 gpus) Q6 — 1 GPU llama-server \ --model <MODEL_DIR>/Muse-Glimmer-30B-GGUF/Muse-Glimmer-30B-UD-Q6_K_XL.gguf \ --mmproj <MODEL_DIR>/Muse-Glimmer-30B-GGUF/mmproj-kquant.gguf \ --spec-draft-model <MODEL_DIR>/Muse-Glimmer-30B-GGUF/dflash-kquant.gguf \ --spec-type draft-dflash \ --spec-draft-ngl 999 \ --spec-draft-n-max 3 \ --spec-draft-type-k f16 \ --spec-draft-type-v f16 \ --ctx-size 65536 \ --override-kv muse-glimmer.context_length=int:65536,dflash.context_length=int:65536 \ --n-gpu-layers 999 \ --device ROCm0 \ --device-draft ROCm0 \ --split-mode layer \ --flash-attn on \ --fit off \ --parallel 1 \ --kv-unified \ --batch-size 2048 \ --ubatch-size 512 \ --threads 32 \ --threads-batch 32 \ --cache-type-k f16 \ --cache-type-v f16 \ --image-min-tokens 1024 \ --image-max-tokens 4096 \ --reasoning-preserve \ --temp 0.7 \ --top-p 0.95 \ --top-k 64 \ --min-p 0.0 \ --jinja Q8 — 2 GPUs with tensor split bash llama-server \ --model <MODEL_DIR>/Muse-Glimmer-30B-GGUF/Muse-Glimmer-30B-UD-Q8_K_XL.gguf \ --mmproj <MODEL_DIR>/Muse-Glimmer-30B-GGUF/mmproj-kquan

Alex Volkov

@altryne

Dumped data from my ecobee thermostat, and my energy bills for the last 5 years to build a dashboard of why my electricity bills went up. It suggested usage patterns and rates hikes I didn't even know existed

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

Idobn

@idobn

Muse doesn't have a phone number, but by using x402 / MPP you can give it access to a phone and let it make a phone call, this one cost me ~$0.10. The consumer experience isn’t perfect yet. I had to give Muse access to my @tempo wallet to make this work. But Muse already

Abid Ali Awan sets up Muse Glimmer 30B on an RTX 5090 with llama.cpp, dynamic quantization and DFlash speculative decoding, serves it locally and wires it into OpenCode to build a medical research web app.

cbruce

@cbruce_eth

Today in personal AI agent land: Hermes found my contacts Rx and reordered some, plus drafted our weekly family schedule Instinct scoured the internet for a replacement showerhead and ordered it Muse booked an anniversary dinner res (in thread browser control was pretty cool)

Clearmud asks Muse to rebuild the real Clearmud.ai website and, in the same session, clone Sonic the Hedgehog from scratch.

Quick update on the RTX 5060 Ti local LLM repo. It has changed quite a bit since my previous posts. The project started as a collection of practical notes and benchmark results. That was useful, but as the dataset grew it became harder to answer the question most people actually had: What configuration should I run? I have rebuilt the repo around tested, copyable presets rather than treating every successful benchmark request as a front-page result. What changed? The project now separates three things: • Presets: exact configurations intended for people to copy and run. • Evidence bundles: reviewed proof of context fit, retrieval, sustained generation and performance. • Raw receipts: retries, failed experiments and diagnostic runs that are kept separate as engineering material without automatically becoming recommendations. The website now leads with the published preset catalogue. The larger results explorer is still there for comparisons and historical data, but it is no longer the first thing visitors have to decipher. There are currently seven published presets across the 1× and 2× RTX 5060 Ti lanes: 1× RTX 5060 Ti 16GB • Qwen3.8 27B IQ3_XXS at 64K with q8 K

Hey building a service that gives your muse a real non VoIP US phone number that can call, text anyone. With headless access to the phone number besides using it, you can have muse “whisper” in your calls where only you can hear it. Think of use cases such as calling someone and invoking muse mid call to remind u of a thing like the date for an event. Anyone interested in testing just dm me!

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?

QUASAR-trained Blackwell W4A4 build of Muse Glimmer 30B at 21.8 GiB, reporting 20% lower KL to BF16 than Red Hat's NVFP4 W4A4 checkpoint.

John Yang

@jyangballin

My favorite demo from the launch: muse spark 1.1 + opencode runs evaluation of *itself* + mini-SWE-agent (by @KLieret, @closji, urs truly) on DeepSWE!

@chinami-michaels

@chinami-michaels

A Muse agent skill with one-paste install that files Instagram saved reels into topic collections you define during setup.

@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.