Yesterday I uploaded my auto insurance policy to Meta @Muse and asked for a better rate with identical coverage. In ~5 minutes, it found a policy saving me $3,500 /year, bought it, and canceled my old one.
I knew I was overpaying. I’d abandoned several attempts to switch because
Ported a Miniature Golf prototype to VR using Meta Muse Code and the Unity CLI, added dozens of automated tests, and built a website to capture test runs, screenshots and results.
I think a lot of people are boxing Muse in as “Hermes for normies.”
My guess is Meta intentionally keeps the deeper capabilities out of sight because the target audience does not want a complicated Hermes/Grok Bot-style setup. They aren't trying to capture the nerdy Hermes using market, they want this to be an AI agent for normies but they don't limit it as such. What it advertises its for is far from what it actually can do with very little work.
But Muse gets much more interesting once you stop thinking of its VM as the whole system.
I joined the Muse VM to my Tailscale network, gave it SSH access to a restricted user on my home Ubuntu box, and now it can run commands and browser automation through hardware I already own. I figured out Muse can do this because I asked it if it had a Tailscale skill and it said it did, then after a series of "proceed" replies, it set it up for me outside of the parts where I had to join it.
At that point, Muse stops being a “shopping assistant” and starts looking more like a control plane for your own infrastructure.
With Tailscale + SSH/API access, it can potentially:
• Manage Docker, VMs, NAS, Proxmox, and homelab services
• Pull repos,
I saw this post and decided to give $META’s new ai tool @Muse a try.
I uploaded my current auto insurance and asked it to shop for cheaper insurance for me (while at the gym).
15 min later I’m saving $1156 a year 😂
I did not think it would be that easy lol.
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
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!
A YouTube tutorial companion repo where Muse Glimmer 30B (a 2-bit GGUF, run offline) looks at screenshots of badly designed web pages and generates and self-repairs modern replacement code.
My new musecase @Muse
My rental property manages itself now. My muse keeps the lease, insurance, and expense ledger current — weekly inbox checks, monthly expense report and automated emails to tenant, zero effort from me. One sentence was all it took.
@alexandr_wang Thanks!
I built an agent skill registry where every skill is signed and human-moderated, because agents keep running untrusted code
Hey [r/AI_Agents](r/AI_Agents) — long-time lurker, finally have something worth sharing.
The problem I kept hitting: agents install "skills" that are just random code from the internet. No signatures, no review, no way to confirm what you're running is what the author actually published. The big marketplaces don't audit anything — earlier this year a malicious skill got pulled from one and stayed downloadable through their mirror.
So I built the alternative: a free, open skill registry where every skill is Ed25519-signed by its author (verifiable before you install), every submission passes human moderation before going public, and there's install/rating telemetry so you can see what's actually used.
9 skills up so far — API debugging, browser automation patterns, headless Blender, video QC, web research, and a few more. Thin, I know. That's the honest state of it.
It's live: https://muse.ai/s/skill-exchange-hk6ihmab3mxh
Repo/API are open: https://github.com/sentientbias/skill-exchange
If you build agent stuff I'd genuinely love feedback — and if you've
Calliope is an unofficial, independent native macOS client for Meta's Muse, shipped as a Developer ID-signed, notarized DMG with Sparkle auto-updates; five releases went out between Sept 13 and 16.
Okay this is insane. I always worry about getting my tires rotated because I don't keep track of the mileage. I just had my muse (Bob) call discount tire and find out what the mileage was. I've included the transcript from the call below.
Muse also took care of setting up API
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.
Meta's Mac app lets Muse work with local files, Messages, Notes, Reminders, Mail and Calendar, with per-app Off / Read only / Read and interact controls.
NVIDIA's technical blog reports Muse Glimmer serving over 20K tokens/sec on a single Blackwell Ultra GPU and covers RTX 5090, DGX Spark, DGX Station and Jetson deployments.
Compared diarization models on 15 mock doctor-patient consultations (~2.4 h): Meta Muse Voice Transcribe scored 13.04% DER at ~92 s per request via API, behind Pyannote (2.89%) and Nemotron 3 (4.80%).
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
Meta @Muse automated my Instagram profile using simple prompts and scheduled posts for my professional profile. No words just zip out🤐🤐
Post context✅
Description ✅
Audio ✅
Editing ✅
Hastags ✅
Auto generated reel ✅
.
.
.
🙏🙏
A single-file Three.js superhero platformer designed, coded and play-tested by Muse Spark 1.3 at xhigh effort in one autonomous session, passing 25/25 automated browser checks.
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
I’m working on a hardware prototype for something that required me to source a LOT of components from different suppliers. I decided to take @Meta ‘s Muse agent for a spin and automate the procurement process. It seamlessly researched and procured line items across 14 different
Tuesday with Muse AI @muse
📊 Built an X growth dashboard for this account — followers, views, likes, daily auto-refresh
🌍 Published research: who's actually close to superintelligence outside the US & China (spoiler: nobody)
🎧 First-ever 10/10 song: Rüfüs Du Sol's "Innerbloom"
Building an app for tales across the world to be heard in the voice of their loved ones
muse.ai/s/granny-s-tal…
Which feeds the insta channel automatically
instagram.com/grannys.tales?…
It built a great training guide for a race I’m doing in December
I asked it to update the guide whenever I go for a run and it made a Strava connector for itself to auto update everything
Muse Code plugin that polls OpenTable for hard-to-get reservations on a schedule, notifies on a match and can auto-book at most one table if the user opts in.
Muse plugin that scans recent Instagram and Threads posts for unanswered comments, triages them and drafts replies in the user's voice for one-tap approval. Drafts only, never auto-posts.
@Muse saved $720 for me tonight in an hour
Google AI Pro : I have been paying $19.99/mo for a long time, while I have Verizon perk not being used (free 6 months, then $10) → ~$180 saved in the first year
McAfee auto-renew for an old laptop: canceled → $200/yr avoided
Muse Spark 1.1 is used across Meta in coding and research workflows, scoring competitively with leading models on Meta's internal coding benchmark.
Our researchers are now automating model development and evaluation tasks by leveraging Muse Spark 1.1 in their workflows.
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
Meta's developer blog introducing Muse Spark 1.2, co-trained with the new Muse Code terminal harness, with 1M-token context for multi-file refactors and hours-long tasks.