1076 musecases built now with Muse

Solo-built GGUF line of Muse Glimmer 30B with custom calibration, per-tensor allocations and an eval harness behind every reported number.

MindStudio notes Muse Spark 1.3 topped DeepSWE at 75.4 and placed third on Artificial Analysis, yet in a hands-on game-clone test produced "a cube shooting at other cubes."

Baptiste Dubois

@duboibaptiste

Mine took a cancelled Alaska flight + two Lyft receipts from my email and filed the whole claim: converted email to PDF, fought a broken upload widget (said 2.5MB, real limit 512KB), submitted $189.37 + goodwill. Came back with case number. I just watched. Very smooth, I asked

Composio compares Muse Code and OpenAI Codex on pricing, models, agent architecture, extensibility, safety and open-source support.

Muse Glimmer Cookbook Clone it, run it on the GPU you already own, and ship a working agent — one that plans, calls tools, and self-corrects — in a single sitting, fully offline. Muse Glimmer is an open-weight model built for local agentic work on a single GPU. This cookbook is how you go from weights to a running agent. Previously shared Liquid AI's Cookbook.

@sureshsankaran

@sureshsankaran

A Muse workspace skill for managing GitHub repos through the REST API, including pushing directories via the Git Data API, with the token kept in the Muse vault.

DoubleO

@doubleOObe

Muse just built me a Monarch/Origin replacement

KGP Talkie benchmarks generation speed, VRAM use and long-context behavior for both models on one RTX 5090.

GGUF quantizations of the Inco AI DFlash2 drafter for Muse Glimmer 30B, for use with the BeeLlama.cpp llama.cpp fork.

Cyrus

@cy_zanfar

I asked Muse to renew my US passport online. It did 95% of the work and when I needed to chime in (enter ssn/ upload picture) the browser handoff was smooth. Also it booked our flight tickets for my wife and I e2e on Amex travel. First time an agent is able to complete such task

@mpfaffenberger

@mpfaffenberger

A reproducible single-GPU deployment of Muse Glimmer 30B in BF16 with DFlash speculative decoding on a 96GB RTX PRO 6000 Blackwell, served via vLLM with pinned overlays and smoke tests.

Mermail

@Mermailapp

🫡 we are here mermail.app/blog/give-muse…

Infinite Improbability

@v01dp1r4t3

Today @Muse shopped for a new garage freezer, got the best price for my required specs matching it's replacement, ordered it, kept track of the delivery, then filled out and submitted the registration. I watched every step of the way redundantly, had to enable a few more things

William Geronco

@williamgeronco

Oh that's just 1 example! Muse now runs my Shopify stores, emails and coordinates with my employees, runs and manages my Asana....the list goes on! Love @Muse ❤️

I'm developing a detailed history book, I'm 333 pages deep, I have used my whole weeks limit and am 8 million deep in my free 1 billion tokens.

JH Trader

@JoshExile82

It did make me a purchase lol. Ram for my computer for New Egg. It setup link and bought it and the cool thing was it helped me figure out I had two extra ram slots I forgot about.

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),

One person asked their Muse agent to look for money owed to them, and it turned up over $1,500 in unclaimed funds across two states they used to live in. Prompt: Can you look around the internet for any money that might be owed to me? Please check my claim status every 5 days and report back to me on any changes.

Jamesborow

@JamesBorow

Day 2 of building products for agents. I present to you musetv.live - think your @Muse agent & Tamagotchi had a baby.

@Sighton-GH

@Sighton-GH

opencode-delegate is a Claude Code plugin where Claude plans and writes briefs while opencode sessions on free models, Muse Spark 1.3 by default, implement and review each task.

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.

Frank Jerome ⚡

@frankilus

.@Muse just saved me $603 a year on my car insurance after analyzing my policy. This assistant is really good at getting things done.

Simon Willison

@simonw

Pelicans for Meta's new Muse Spark models - plus I did a bit of a deep dive into the Code Interpreter and fascinating "container.visual_grounding" tools in their meta.ai chat UI simonwillison.net/2026/Apr/8/mus…

Johnny Loincloth

@JohnnyLoincloth

Had an issue with a flight last week while at a conf w/ zero time to deal with customer support. Told Muse my problem and sent it in there. Other than providing it a verification code, was completely seamless. Problem solved in 15 mins while I was in meetings

Hey Folks, I've been making quants for a while - recently I took a short break to get into hardcore research (submitted my first EMNLP paper during it!). Along the way, I built up a little arsenal of quant-optim techniques: everything from novel, paper-pending tricks to some genuinely sick tensor-mapping algos. I threw some of the secret sauce into the newly released Muse Glimmer 30B (META IS BACK!) and compared it to several OGs. I'm honestly shocked by how it never loses to any quant out there in every single VRAM class! One of the coolest ones is my Q8 quant, it is smaller than UD-Q8_K_XL and 21% closer to BF16. Full methodology is on the card - eval setup, CIs, held-out slices, the lot. Happy to answer questions in the comments. Model: https://huggingface.co/AaryanK/Muse-Glimmer-30B-GGUF I still had headroom left but ran out of compute credits :( Being a solo undergrad sophomore, I can't exactly spend H100 money that often, which is why the "hopefully" in the title :) I'm looking for internships in AI agent orchestration and model inference. If this work looks relevant to your team: linkedin.com/in/theaaryankapoor I plan on doing a write-up soon to describe some of the

@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).

theres simply no other AI agent or tool that can do this for you for free PROMPT # Story Archive Census ## What to do Your human wants a full census of their Instagram story archive. Read this entire file, then follow the steps in order. The job is a census: walk every page and count every story, newest to oldest. It does not download any media. What you're working with: **Tool** — the Instagram connector's command line tool, `instagram-cli`. **Command** — one call returns one page of archived stories (about 20 per page), newest first. Each page hands back a `next_max_id` cursor pointing at the next page: instagram-cli own-stories-archive --account-id <YOUR\_ACCOUNT\_ID> ## Workflow ### 1. Walk the archive - Fetch the first page with no cursor. - For each page, record the page number, the story count, the newest story date, the oldest story date, and the `next_max_id`. - Feed that `next_max_id` back as `--max-id` on the next call, and keep going. - One call at a time, a second or two apart. No parallel calls. ### 2. Save progress - Write the page records plus the latest cursor to a state file every 10 pages, so the run can resume after an interruption instead of sta

DHH

@dhh

Got muse cli hooked up for both default agent action and lazy-loading. Come give it a try, @finkd 🙏 github.com/omacom/omarchy…

@DevvGwardo

@DevvGwardo

muse-spark-crew is an opencode skill that orchestrates ten specialist subagents on Muse Spark 1.3, from architect to security auditor, with a phased fan-out and review gates.

Nick Calabro

@NickCalabs

I just set up a custom connector to my self hosted fitness/nutrition tracker hours ago. I was pleased at how easy it was

Independent benchmarks and analysis of Muse Spark 1.2, released alongside Muse Code.

@troioi-vn

@troioi-vn

delegate-to-muse is a Claude Code skill for handing repository work to Muse Code via muse exec, with a handoff template and checks for reviewing the diff and re-running tests rather than trusting the summary.

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

joe feeney

@iamsomewalrus

Very cool experience with Meta Muse. My wife and I were chatting about college tours on the way to get food. I whipped out Muse, listed the schools. Muse did the obvious thing and found the windows for booking etc but, surprisingly, it generated a PDF! Super cool and it was

AgentMail argues Gmail was built for a person at a keyboard, not an agent on a cloud VM at 5am, and makes the case for a separate agent inbox.

Alex Volkov

@altryne

Very nice and tight @WhatsApp integration here, not only can you chat with Muse from whatsapp, you can view those in read only mode as one of the chats!

@n3xtgentechitalia

@n3xtgentechitalia

A llama.cpp container that serves Muse Glimmer 30B with vision and DFlash on an RTX 5090, reporting 98.8 tok/s single-stream and about 250 tok/s aggregate with 131k context.

@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.

Dheeraj

@Dheeraj_kmr

Organized my 500 plus liked songs in Spotify into genre and language specific playlists.

Hey everyone I just wanted to share this: you can have Muse build you an app and then create a shortcut for your phone. My first use case was a workout tracker. I hope this helps someone!