1093 musecases built with Meta Muse

I'm running Muse Glimmer 30B EXL3-SC 3.00bpw H4, fully resident on my 12GB VRAM GPU at 100K context with Q8\_O KV cache. It's a joy to use a dense 30B model at this size and still get \~30 tok/s on a VRAM-constrained laptop. It's supposed to be only slightly worse than the official 17GB K-quant at a much smaller footprint, and for my Hermes Agent use case I don't notice a quality difference. It's just much faster. I've tried Qwen 3.8 27B at SC2.20bpw H3 too. Definitely usable but I'm sticking with Unsloth UD\_Q4\_K\_XL for Qwen 3.8 27B because it's mainly for coding.

Alexandr Wang

@alexandr_wang

1/ big announcement today: we will be releasing an open weight version of muse spark 1.2 soon. we also are releasing muse glimmer, a 30B agentic model with open weights under apache 2.0. muse glimmer can run on 24GB of VRAM without losing agentic reliability. 🧵

@rtravellin

@rtravellin

A Claude Code plugin that adds /muse:review, /muse:critique, /muse:delegate and /muse:transfer commands, running Muse Code reviews and delegated tasks as background jobs.

Full Value Dan spends a week using Muse to book dinners, sell on Facebook Marketplace, pay bills and triage DMs, scoring it 9/10 as an assistant and 6/10 at precise creative work.

@bluman1

@bluman1

An open-source collection of 150 auditable connector skills for Muse that install with one pasted prompt, declare their allowed hosts and keep credentials in the user's Muse vault.

@everyai-com

@everyai-com

A set of small fixes that let Muse Spark run in pi, Agent Orchestrator, opencode and other OpenAI-compatible tools, handling its non-standard SSE event and missing model-catalog entries.

This week we spent about $95 trying to beat our own lineup of reviewing models. One of the candidates was Muse Spark 1.2, and it turned out to be the most interesting model in the whole test. The good, measured: • Among the best we tested at finding real problems. Scored against bugs we already knew were there, it matched our existing lineup, and it caught one real bug our lineup had missed. • Fastest model in our table. Typical answer in 18 seconds, writing at over 220 tokens a second. The speed table from our test (same job, same codebases, 33 runs per model): Model Typical time Answer length (tokens) Writing speed (tok/s) Time follows answer length Time follows question length Muse Spark 1.2 18 s 4,205 222 0.79 barely (0.08) Gemini 3.1 Pro 19 s 2,621 133 0.99 no (0.0) Gemini 3.8 Flash 22 s 1,996 89 0.91 some (0.65) GPT 5.4 29 s 3,058 105 0.95 no (below 0) Grok 4.6 38 s 2,498 61 0.61 no (below 0) Grok 4.7 44 s * 3,176 75 0.98 a little (0.30) Claude Sonnet 5 50 s * 4,471 91 0.59 barely (0.07) * Runs that finished in time only, so the real typical time is higher. The last two columns are correlations: 1 means time rises in step with that length, 0 means no lin

@dominicletz

@dominicletz

A self-contained visual report comparing CursorBench 4.0 score against cost per task for Opus 5.5, Fable 5.1, Grok 4.7 and Muse Spark 1.3, where Muse Spark 1.3 Max scores 41.6% at $2.64 per task. GPT-6 points are clearly marked as estimates.

@jefalcon

@jefalcon

Native Muse Code plugin with 18 specialist skills, 7 orchestrator commands and turn/session-end notifications, installed via the omm npm CLI. Requires Muse Code 1.3.0+.

@latekaapi

@latekaapi

A native macOS window for Muse Code that drives muse serve over MSP and renders approvals, questions, plans, todos and tool output as interface elements instead of terminal text.

Yair Savlevi

@Yairsavlevi

Landed in Boston with a long layover. My Muse know what cards I own, know where my connecting gates are, made this 3 hour layover a little less painful 😣

Mr AI Dan

@TheMrAIDan

Two kids. Multiple schools. Swim teams. Emails. Schedule changes. Calendar chaos. So I built EVA, our AI family assistant using Meta Muse. She finds what matters, tracks deadlines, updates our calendar, and answers questions about what’s coming up.

parallel.ai

parallel.ai

Parallel gives a six-step method and a template prompt for having Muse write, test and save its own connector for any public API, CLI or MCP server, using the Parallel Search MCP as a worked example.

Arena.ai

@arena

Exciting news: Muse Spark 1.2 (xHigh) by @AIatMeta is #4 in the Text Arena (1498 pts), and has reshaped the Pareto frontier! It is priced at $1.25/$4.25 per MToken. Congrats again to the @AIatMeta team on this release!

OpenRouter

@OpenRouter

Muse Spark 1.3 is now available on OpenRouter! Built for long-running agentic, multi-agent, and coding workflows. It tracks what it learns, handles conflicting inputs, and asks for clarification or confirmation when needed. Use it now: openrouter.ai/meta/muse-spar…

Arena.ai

@arena

Muse Spark 1.1 has entered the Code Arena: Frontend at #9! Muse Spark 1.1 reshapes the cost-performance Pareto Frontier by scoring 1541 at a blended $3.5M ($1.25 per input MToken, $4.25 per output MToken). This is frontier performance at a fraction of the price. Congrats to

@Solar2004

@Solar2004

A config (in Spanish) plus two helper proxies for using Muse Spark 1.2 Contributor from Claude Code and Hermes through routatic/proxy and an OpenCode Go subscription.

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!

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…

unsloth

unsloth

Unsloth's bitsandbytes 4-bit build of Muse Glimmer 30B for fine-tuning and inference.

@Fatih0234

@Fatih0234

Wrappers that run the Muse Code harness against OpenCode Go and Zen Responses endpoints for muse-spark-1.3-contributor without changing normal Muse config or needing a proxy.

tobi lutke

@tobi

We are excited to announce we are partnering deeply with Muse to enable agentic checkout with Shop Pay on all Shopify stores, offering people an easy and delightful way to shop and check out with Muse.

Avi Flombaum

@aviflombaum

Zuck and @Meta really crushed how amazing @Muse is. I told it about my parking app because I tried using it originally to find parking but it couldn’t do it and like 12 hrs later I got this alert that it could help me

Shivam Bharuka

@shivambharuka

I deleted Instagram from my phone a couple of years ago because so much of the feed felt irrelevant and distracting. But one thing I missed was seeing updates from my friends and family. So I asked @Muse to build me a personal feed just for that. It used my DMs to figure out who

+2

@krishnakumaar

@krishnakumaar

A serverless Muse connector on Cloudflare Workers and Supabase that indexes a personal wardrobe, recommends outfits by formality and climate, and tracks wear history.

Zach Holman

@holman

Still really enjoying @muse. I use Things.app for all of my todos, and though it has cloud sync they (still) haven’t added an official API. I told muse to build it and a minute or two later I have ongoing todo sync from my LLM across all my Apple devices. Wild.

Agent Workflow Lab runs the Q8 GGUF of Muse Glimmer 30B through llama.cpp on an RTX 4090 plus 3x RTX 3090, measures DFlash speedups and a 120K-token retrieval probe, then has it build a Three.js browser FPS with no human edits.

@cobusgreyling

@cobusgreyling

Cobus Greyling's companion repo for Muse Glimmer 30B pairs a long-form intro with an offline-first interactive lab for exploring agent loops, benchmarks and memory envelopes before downloading the weights.

deadsimple.email

deadsimple.email

A five-minute setup that gives Muse its own Dead Simple Email inbox through a custom connector, so it can handle email-verified signups away from your personal Gmail.

@karimkfoure

@karimkfoure

An OpenCode plugin that ports Muse Code's subagent coordination core: durable child workers, a ledger mailbox and admission control, so subagents survive crashes and respect capacity.

Inferact

Inferact

NVFP4 W4A4 quantized weights of Muse Glimmer 30B.

Fazir Ali

@KingFazir

I asked @Muse AI who is conveniently named Zuck to create a pitch deck for me to present to my wife on why I should upgrade to the new iPhone Duo. I think it nailed it. I will report back.

+1

bgames

@BgamesFlips

This is just so sick, autonomously letting people know when I have an item scheduled for pickup with someone else, negotiating prices, literally everything except meeting the buyer. Well done Meta!

Mark Zuckerberg

@finkd

Releasing Muse Code in beta today. It's a terminal coding agent that takes on complete software engineering tasks across large repos: planning changes, writing code, validating the results. Powered by Muse Spark 1.2, a coding-focused model update.

ollama

@ollama

Ollama already support the Muse Code harness out of the box? You can try it with models via Ollama (local and cloud): ollama launch muse

Sina

@SinaHartung

small musecase but obsessed with muse tracking things for me it also helps me reorder my skincare, household items, etc across all platforms i just have a master file of things i love and it’ll keep it all stocked

@srikantmehra57

@srikantmehra57

An independent desktop command center for the Muse Code CLI that brings workspaces, sessions, approvals, reasoning controls, changed files and agent activity into one interface.

PREEM // Muse Guy

@PipeBladex

My water heater is dying. I texted Muse the model number at lunch. It compared prices across three shops, emailed two installers for quotes, booked the Thursday job. I worked the counter all day. Came home to two quotes back and an install date. $1,450 beat $2,300.

RedHatAI

RedHatAI

Red Hat AI's FP8 weight and activation quantized Muse Glimmer 30B (text and image input) for vLLM.

@mapleroyal

@mapleroyal

A local Muse Glimmer 30B vision-and-reasoning chat app for high-memory Apple Silicon Macs, running inference through ExecuTorch, MLX/Metal and DFlash with nothing persisted to disk.