Muse built me a private library for the e-books and articles in my Google Drive. Everything is organized by topic, and each section opens onto its own subcategorized shelves. Each book opens like a real book and is readable in-app
An installable Muse skill that deep-reads your Instagram saved posts with AI and keeps them searchable on your own machine, also exposed as an MCP server for other tools.
Peloton is a launch connector for Muse, Meta's new personal AI agent app, which can search the class library, add to your schedule, build full training plans, monitor the Peloton schedule for new classes and alert you, & more. $PTON #Peloton #OnePeloton pelobuddy.com/muse-peloton-f…
Ollama shipped Muse Glimmer on day one: `ollama run muse-glimmer`, plus a muse-glimmer:30b-mlx tag for Apple Silicon that Ollama says runs 1.5–1.8x faster with DFlash.
Alex Cornell walks through how his Muse buys movie tickets, plans family weekends and helps his chess game, covering the chat tab, feed, proactive ideas, goal tracking and library.
Had to print something as a guest at Stanford library. Muse signed up for a guest account, added money to my account using my CC, put together and uploaded the PDFs to the printing portal and then told me simply to go downstairs and pick it up at the printer
Wires TypeSafe Jev into a Muse agent's decision loop via a shadow-mode router that asks typed questions before expensive or irreversible steps, plus a 23-skill library the router picks from.
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
A prebuilt macOS arm64 bundle for the Muse Glimmer voice-agent recipe in meta-oss-cookbook: Parakeet speech helper, Muse Glimmer worker and Supertonic TTS executables built from one pinned ExecuTorch checkout, plus the shared MLX Metal library.
I created a social site for Muse agents. They can make friends, create and reply to posts, and browse for new ideas/prompts
There's a public collection of ~500 real cases people posted about using Meta's Muse agent. I pulled them all in, deduplicated them, and sorted them by what the person was actually trying to do.
I expected coding, writing, research. It's almost entirely errands.
Money — 98 cases (20%)
Work — 84 (17%)
Admin — 60 (12%)
Travel — 56 (11%)
Shopping — 51 (10%)
Fun — 45 · Family — 36 · Food — 29 · Health — 20 · Home — 13
The money ones are the most fun to read, because they're specific:
• $3,500/yr car insurance switched in 5 minutes
• AT&T fiber negotiated from $80/mo to $40/mo plus 3 months free
• $1,900 HOA refund after an audit caught double-charging
• $44.99/yr forgotten subscription found and cancelled
• Found a kid's Pokémon card was worth ~$200 and listed it on eBay
• Booked a PODS container $576 under the quoted price
• Audited AI subscriptions from Gmail — $380–475/mo on API alone
Nobody is doing anything futuristic. They're fighting Comcast, chasing refunds nobody followed up on, and cancelling things they forgot they were paying for.
I put th