№ 0837Reddit post
Found Muse's built-in VM and browser too locked down, so set up his own VM as a sandbox and gave Muse access to it as a workaround.
Compared to Grokbot. I prefer Muse over Grokbot for everything except this. The VM and browser is too locked down to do anything useful. As a workaround, I setup my own VM as a sandbox and gave it access. This works, but not ideal.
MUSE FEATURE ALERT: y'all have been asking for this one. your @muse is getting its own email address. add it to a thread or forward it stuff and it’ll handle it for you. muse mail!
@alexandr_wang
X post
Agents & automation
gave my Muse $100 and a kalshi account, let's see how frontier this thing is
@kevinroose
X post
Agents & automation
I still can’t believe I can run my plumbing company with an agent so easily. I send this message to my Muse agent while in bed at 6am. And it: updates my job board, texts customer, updates office manager who arrives at 8am in slack Notifies technician
@HouseHackerJon
X post
Agents & automation
I’ve seen a couple of posts about this so wanted to demystify. Today, every Muse user gets a free computer in the cloud. It's a real computer, and we’ve designed the security architecture of the Muse Secure VM carefully so you and your Muse can do almost anything you could with a
@dps
X post
Agents & automation
Research markets, analyze your portfolio, and prepare trades right from your conversation. Guide to connect: https://public.com/api/docs/templates/meta-muse
u/Public
Reddit post
Connectors & MCP
I've been working on clinical speaker attribution at Omi and wanted to compare the current diarization models on the same audio. I used 15 mock doctor–patient consultations from PriMock57, about 2.4 hours. Full recordings, automatic speaker counts, without telling the models there are two people. Batch Diarization error rate (DER), with ±250 ms boundary tolerance. Lower is better. Model DER Median processing time Pyannote Precision-3 2.891% 18.9 s / recording (API) Nemotron 3 4.803% 0.688 s / recording Pyannote Community-1 6.620% 18.691 s / recording Sortformer v1 6.778% 3.869 s / recording Sortformer v2.1 7.974% 1.077 s / recording VibeVoice-ASR 8.233% 123 s / recording Meta Muse Voice Transcribe † 13.042% 92 s / request (API) Local models ran on one NVIDIA L4. API times include round-trip overhead; VibeVoice-ASR also performs transcription. † Muse used 20 separate clips because of its 10-minute request limit, so its result isn't a whole-recording comparison. Pyannote Precision-3 had the lowest error. Nemotron came next and was the fastest local model. Streaming Model DER Pyannote live API 3.959% Nemotron 3 † 4.971% Sortformer v2.1 † 6.958% VibeVo
u/MajesticAd2862
Reddit post
Benchmarks & research
Setup: Home Assistant + Caddy in Docker on a Mac mini at home. Caddy serves only /api/* on the Mac's Tailscale IP, port 8443. Tailscale ACL allows my Muse agent's VM to that port. Goal: let the agent query the HA API remotely. What's verified: • Mac mini is on the tailnet, Tailscale running, peer visible in tailscale status from the agent VM • Caddy serves the API locally (gets expected 401 without token) • Lutron/Ring integrations healthy in HA What fails: every request from the agent VM through Muse's documented tunnel path (HTTP proxy with CONNECT, port 3130) to https://<tailnet-ip>:8443/api/ dies with curl exit 52, "Empty reply from server" — in about 8 seconds, never a proxy error, never a timeout waiting on approval. A stale duplicate node entry in the peer list just times out (exit 28), so that's not it either. This smells like the agent platform's tunnel data plane never passing the traffic, not a Tailscale or HA misconfig — but before I write it off, has anyone here actually gotten a Muse agent VM talking to a tailnet peer? Or found a workaround that doesn't involve exposing things publicly (Funnel/Cloudflare Tunnel/ngrok are the obvious fallbacks)?
u/jatayoo2026
Reddit post
Errands & personal agent
Wondering why all the hate for muse spark 1.3 since in my testing on a codebase with about 10k LOC it performed pretty well , sometime even outperforming Gemini flash 3.8 in solving some hard bugs where flash took much longer and needed more guidance for these tasks .. Granted I think Gemini is certainly better for frontend and designs much better looking interfaces without much prompting, but for complex bugs spanning multiple backend parts I think Muse spark perform really well….
u/NationalEar1400
Reddit post
Coding & dev tools
Got Muse logged in to my medical provider’s portal, he pulled the itemized bills, and questioned every line. So far he’s found several times I’d been double billed, asked for some discounts and has saved me over $4,000. If your moat is bureaucracy, you’re cooked.
@Ryan_Holdaway
X post
Errands & personal agent
GitHub 🤝 @Muse A new way to connect your GitHub account to review PRs, catch up on issues and notifications, and leave comments without switching tabs.
@github
X post
Connectors & MCP