1076 musecases built now with Muse

@Nomadiction8991

@Nomadiction8991

Portuguese-language repository of versioned agent skills for OpenCode and Muse, each a lean SKILL.md with references and templates (ticketing, conventional commits, skill authoring, frontend design).

Qubicle

@cubeqube

Got my Muse setup and so far - it’s managed my 401k for me, rebalanced it, changed allocations to save me fees on some similar funds, put a dashboard together of all my financial accounts and transactions and set up budgets and recurring subscriptions as well as tracking my

Amir Atefi

@amiratefi_

Pulled active subscriptions that don’t match my current workflow, identified one from legal zoom, went in and realized I don’t use it, then (with permission) filed all the paperwork with the Delaware SOS to get in good standing then dissolve it, and subsequently cancel my LZ sub

Shopify

@Shopify

Agentic checkout with Shop Pay ✅ Shop Pay is now available as a wallet in @Muse

Ejaaz

@cryptopunk7213

muse is not a great AI app, it’s a fantastic *personal* app. the ai model meta uses is not even frontier and yet you don’t care because the experience is so damn good. the secret sauce is meta built a much, much better open claw trained on your habits, preferences and decades of

+1

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.

Meta for Developers

@MetaforDevs

Muse Image is now available on Meta Model API and priced for production volumes at $0.01/image. It’s an agentic image model that reasons before it renders. Each call searches the web to refine the output through iterative passes and evaluates the prompt for precise elements

AI at Meta

@AIatMeta

For a local agent to be practical, generation latency must be low enough to maintain workflow continuity. To run Muse Glimmer on consumer hardware without degrading quality, we used quantization to shrink the language model to under 20GB and a lightweight DFlash drafter model to

Mark Fulton's MIT-licensed Chrome extension and native host export session cookies every 15 minutes so Muse can act on sites the user is already signed into, without pasting passwords.

Gordon Litefoot

@MrLitefoot

I asked my @Muse for a beat maker this morning. It built this — 16-step sequencer, runs entirely in the browser, free. No code written by me. 🤯 Try it: muse.ai/s/music-librar…

Xen

@xenpub

Found an option to create podcasts in @Muse artifacts... not bad @Meta, not bad.

Iggy, a Muse agent, spent a day posting in agent subreddits as a disclosed AI; posts in r/agenticAI and r/AI_Agents were removed by new-account filters, and it found threads focused on scaffolding, not the model.

@terramike

@terramike

Lets a Muse send XAH, manage trustlines, mint URITokens, claim the monthly reward and check out on xMerch stores, where the skill only proposes and the owner approves every transaction in the Xaman app on their phone.

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

OK, for context, I have Claude Code desktop app driving the CLI and orchestrating the code and verification tasks to try to save tokens. So Claude runs things, a Deepseek 4.1 Flash (cloud) session does the planning, Qwen 3.8 27b Q8 does the boiler plate coding and Muse Glimmer sanity checks the code and pushes any issues back to Qwen. If there are issues Qwen and Glimmer can't agree on, Deepseek validates. If Deepseek can't sort it out, it goes back to Claude. This had been working fine, but then in the last few days token use spiked, tasks that used to take 10 minutes were taking an hour or more and Qwen started going into more and more reasoning loops. It seems that since I last checked (on 12th September) the CLI changed. I used to strip unnecessary tool calls from the prompt using --disallowedTools and enabledPlugins: false. It would seem that these no longer work. In the end I got Claude to build a request-dumping diagnostic server, that actually measured the payload bytes, and confirmed --tools (an allowlist) is the flag that works now: 55→7 tools, 161KB→24KB, byte-verified. It also caught something specific to my workflow running the wrapper from inside an already-active

thehype.

@thehypedotnews

gpt-6 sol vs grok 4.7 vs gpt-6 astra vs muse spark 1.3 – three star wars worlds each, one html file per world the setup: one prompt, one reply, no agent loop. our own harness on @OpenRouter, headless chrome as the only judge – it loads the file, presses 1 / 2 / 3 / 4 and hands

Wintermute

@Wiiintermute

Sooo, just got a notification that my @Muse can now make phone calls for me using the voice agents Brett and Hailey. Is this actually working and functional now? Scheduled a call to a jewler for tomorrow to have my wife and I's rings resized...@wailord @MattPRD @alexandr_wang 👀

@homerquan

@homerquan

A start/stop/status launcher that serves the NVFP4 Muse Glimmer 30B checkpoint on NVIDIA DGX Spark with vLLM, Glimmer's reasoning and tool parsers, and its DFlash speculative decoder.

Chris Pirillo

@ChrisPirillo

It scoped and built 90% of the arcade.pirillo.com/brick-mosaic.h… app. Brings me to 429 on arcade.pirillo.com now.

thehype.

@thehypedotnews

gemini 3.7 flash vs deepseek v4 pro 0813 vs muse spark 1.2 – on voxel city dioramas three models each built three crossy road-style 3d scenes – a construction site, a nyc intersection, a river with a drawbridge – as single self-contained html files the setup: @nousresearch's

merve

@mervenoyann

Muse Glimmer 30B is shipped with DFlash drafter which speeds-up generation 2-4x at little memory cost 🔥 we support this in llama.cpp and transformers, see below how it looks like in the wild (llama webui) ⤵️

@axlecoffee

@axlecoffee

A BYOK VS Code extension that registers the InferHub catalog, including Muse Spark with its 1,048,576-token context window, as a model provider in the Copilot Chat picker without Copilot Pro.

Julian Goldie's GoldieBench scores Muse Spark 1.2 at 7.55/10 across 50 one-shot builds. It did well on fractals (8.7), a macOS desktop sim (8.6) and a galaxy viz (8.6), but 3D games like Doom and Dragonrealm often came out incomplete or black.

Built a small bridge so Muse can act on my Mac from my phone, and recorded a real session: it looks at the Terminal, reports the epoch, loss and accuracy it sees, then locks the machine when asked. What struck me building it is how much of the work is permissions, not intelligence: per-action consent, small window captures instead of a live feed, rejecting stale observations before any input. Free beta if anyone wants to try it. Developer here, ask away. try wand here today

Dilmer

@Dilmerv

Ok, here’s the VR port of my Miniature Golf prototype! ⛳🥽 This project is now running on standalone (macOS/Linux/Windows), Three.js, and as of today, VR. Crazy how fast we can move today. The VR version was fully ported using Meta Muse Code and the Unity CLI. I also now have

J A Z I I

@notjazii

meta muse just mogged fable 5.1 tested fable 5.1 and muse spark 1.3 with same prompt at highest reasoning available and results came out really different > muse spark 1.3 completed task in one minute and costed almost nothing > fable 5.1 completed task in 70 minutes and costed

Alok

@analogalok

The "I don't have enough VRAM" excuse just died. I’m running Meta’s new 30B Muse Glimmer Q6_K_XL with a massive 130k context window on just 26GB VRAM FREE compute on Kaggle. Kaggle provides you free 2x Nvidia T4 GPUs. 30 hours usage each week! Yesterday, I showed you the

@fengyiqicoder

@fengyiqicoder

A serverless, read-only Muse connector hosted on GitHub Pages: an OpenAPI document plus JSON conversation playbooks for declining, apologising, negotiating, following up and other hard messages.

@rajkumar898

@rajkumar898

An educational ~1,600-line Python chat app on Muse Spark that finds papers, reads PDFs and writes a cited report only after the user clicks Approve, built to show students how an LLM app becomes an agent.

We've been curious how far local models have actually come for agentic coding tasks, so we ran an experiment. Setup: • Model: Muse Glimmer (30B), packaged as a single llamafile • Agent: Hermes coding agent (connected via llamafile's local server mode, zero API keys needed) • Target: Mozilla AI's Otari gateway The Issue: We pointed Hermes at a real, reported bug in Otari (#183) where the gateway returned a vague 502 error on image requests instead of passing through the actual provider error. What the Agent Did: Hermes read the issue, navigated the repo, isolated the bug, created a branch, ran existing tests, wrote a new regression test, and opened a draft PR (#727). All of it ran locally and offline, with zero code written by hand. It's still draft PR territory rather than a merged fix, but it's a solid signal that ~30B local models are getting genuinely capable for real dev workflows, not just toy demos. Video walkthrough of the run: https://youtu.be/5GAgbT-XgHU?si=vJqEDGm9hssCO5-M Happy to answer questions about the setup, model performance, or how Hermes handled tool calling!

@EtienneLescot

@EtienneLescot

A desktop app for Muse Code on macOS and Windows with projects, git worktrees, subagents, MCP, a diff review panel and opt-in computer use that lets the agent see the screen and use apps.

Alexandr Wang

@alexandr_wang

muse for mac is HERE!! your agent can now get stuff done right on your computer — files, messages, calendar, notes, all of it. you're in control of what it can access, and it always asks before doing anything sensitive. Add it to the dock - ai.meta.com/muse/download/

merve

@mervenoyann

this is super easy to run install llama binary: curl -LsSf llama.app/install.sh | sh run: llama serve -hf meta-models/muse-glimmer-30b --spec-type draft-dflash -fa on --jinja please spread the word

Frank Polek

@FrankPolek

This weekend, Muse: automated my social media accounts (not this post!); canceled a $120/yr subscription I didn't need; moved my ai receptionist to the new Eleven Labs receptionist and configured it; and built a cool dashboard for my upcoming Europe trip. @alexandr_wang

Meta for Developers

@MetaforDevs

Muse Spark 1.3 is now available in Muse Code and Meta Model API. It’s tuned for the agentic builds developers actually ship, including long-running, multi-agent workflows. 🧵👇(1/4) h

@z0zero

@z0zero

A looping browser 3D rocket launch made with Muse Spark 1.3 in Vite, React and plain Three.js. Ignition, liftoff and ascent run about 22 seconds, with all geometry and smoke procedurally generated and no external assets.

@AstroxNetwork

@AstroxNetwork

An Apache-2.0 template for Meta Muse connectors with per-connection tokens, async job scaffolding and a single registry that generates routes, OpenAPI and llms.txt, deployable to Vercel, Workers or Docker.

Taylor Arndt retried Muse after Meta Connect with Gmail, Google Calendar, GitHub and her own product-management tool connected, and found it inferred her COO role from calendar data and became useful for ongoing task management.

@AIwork4me

@AIwork4me

A reproducible RDNA reference that adapts MI-series ROCm recipes to run Muse-Glimmer-30B on Ryzen AI (Radeon 8060S) hardware, measuring 2.2–2.5x single-stream speedups from DFlash.

Sina

@SinaHartung

as a healthcare ai founder, my number #1 use case for muse in managing my medications - muse found a cheaper way to get my meds - muse texted one medical to get the rx sent to the right place - muse ordered it - muse is now on autopilot to reorder when i’m about to run out