Entries matching “serving”

Peter Yang shows 10 real Muse use cases, including having the agent call customer service to lower his cable and phone bills by over $800 a year.

Nicolas Bustamante

@nicbstme

It’s funny, Meta went from having my Instagram and WhatsApp data to now having access to my email, calendar, DoorDash, Amazon and pretty much everything. In the last 24 hours, it bought me socks, ordered my Whole Foods groceries, booked a cleaning service and got me a burger for

Andrew Brown's three-hour freeCodeCamp course on building apps and agent workflows with Muse Spark and the Muse Code CLI, ending in a full-stack Go/SQLite/Docker build.

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,

@ChrisjanWust

@ChrisjanWust

Native server-only Paseo v0.8 provider built on @muse-code/sdk and muse serve over MSP, with no ACP adapter or per-turn CLI wrapper.

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

@mjsabby

@mjsabby

An OpenAI- and Anthropic-compatible serving stack for Muse Glimmer 30B on one or two Intel Arc Pro B70s, built oracle-first with a float64 CPU reference that gates every GPU kernel.

@kevinzhao-dev

@kevinzhao-dev

A starter script that downloads Muse Glimmer 30B, serves it with llama.cpp on an Apple Silicon Mac and connects it to OpenCode, with the server listening only on localhost.

@stevysmith

@stevysmith

An MCP server and skill that reports live review times for AI app, connector and plugin stores, including Meta Muse, so builders can see how long a connector submission is taking.

Pietro Zullo walks through submitting a hosted MCP server to the Muse connector platform: the three-step form (overview, technical specs, review) and what Meta's functional and security review checks.

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.

Together AI

@togethercompute

Muse Glimmer is now live on Together AI. We’re proud to be a Day 0 launch partner for this open-weight model from Meta Superintelligence Labs, built for long-running agents that can reason, use tools, recover, and keep working across complex tasks.

@sanjay3290

@sanjay3290

ACP adapter that bridges Agent Client Protocol clients such as Zed to Muse Code via the Muse Session Protocol and muse serve.

@atameric

@atameric

An unofficial macOS desktop client that speaks MSP over muse serve, offering streaming markdown, visible tool calls, session history shared with the terminal and screenshot attachments.

@syamimhazmi

@syamimhazmi

A vim-modal multi-tab Rust TUI for coding agents where each tab is a session, fronting Muse Spark via muse serve alongside Codex, Antigravity and Grok backends.

@kevintsai1202

@kevintsai1202

MCP server that gives Claude Code, Claude Desktop, Cursor and other MCP clients image generation and editing powered by Meta's Muse image model, published to npm.

@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.

@mitchallen

@mitchallen

A Makefile that downloads the three Muse Glimmer 30B GGUFs and builds and serves llama.cpp on Apple Silicon, automating a scriptable.com walkthrough.

@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.

Hey building a service that gives your muse a real non VoIP US phone number that can call, text anyone. With headless access to the phone number besides using it, you can have muse “whisper” in your calls where only you can hear it. Think of use cases such as calling someone and invoking muse mid call to remind u of a thing like the date for an event. Anyone interested in testing just dm me!

I'm just using OpenWebUI with a simple FastMCP server. Every other model I've tried will simply run a few lines of Python and give me the result. Glimmer seems to overthink like crazy to the point of being useless. On the carwash test it tried to compute emissions using Python. I'm using the recommended sampling parameters, default template, and I've tried both unsloth's Q6_K_XL and Meta's dynamic GGUFs. Any ideas? EDIT: It seems like it's definitely related to the tools available. With them disabled, it's reasonably efficient. I guess it's just overly eager to call every tool it can unlike Qwen or Gemma in my experience.

@barbarkaragul-oss

@barbarkaragul-oss

Hosted, read-only MCP connectors built for the Muse Connector Platform, starting with PrivacyMatrix, which serves a quote-sourced dataset of 28 AI apps across 14 privacy questions.

@barkleesanders

@barkleesanders

A static teardown of Meta's Muse macOS app (codename Endo) finding a full computer-use agent in the public build, switched off by five server-delivered feature flags.

@shelajev

@shelajev

A Docker Sandboxes kit that runs Meta's Muse Code CLI in an isolated sandbox, allowing network access only to the Meta services needed for install, auth and model requests.

@obaid

@obaid

Agent plugin and stdio MCP server for Resemble AI media authenticity that works with Muse: run investigations on public URLs, submit deepfake detect jobs and ask follow-ups on reports.

@dangkhoa2016

@dangkhoa2016

A self-hosted llama.cpp serving stack that runs Muse-Glimmer-30B GGUF with DFlash2 speculative decoding on Kaggle's NVIDIA T4 x2, exposed through an authenticated OpenAI-compatible gateway.

@pjpoulose

@pjpoulose

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.

David Singleton

@dps

Power user @Muse feature - custom connectors 🔧. Muse has tons of connectors for popular services built in. Even better, Muse can write its own software and run it in the VM you and your Muse share in the cloud. So you can connect Muse to any service with an API.

AgentMail's Muse page gives the agent its own email address so it can send, receive and sign up for services as itself while the user's Gmail stays separate.

Dilmer

@Dilmerv

Tips for 🥽 VR/MR developers, or anyone getting into VR by building a new app or game: leverage the Meta VR CLI + Muse Code in your agentic workflow. - An MCP server that gives your AI coding agent full context from the Meta VR docs - Device management: list, inspect, and

Digital Spaceport reviews Muse Glimmer 30B on a 4x 3090 EPYC home server, calling it weaker than Qwen 3.6 27B overall but good at one specific thing.

@LimpingNinja

@LimpingNinja

Oh My Pi plugin that registers an authenticated Muse Code install as the muse-code model provider, with a persistent muse serve host and a bundled muse-spark agent for task delegation.

Nathan Clement

@nathanclement

Today, my Muse Agent bought a subscription from a Spreedly customer for me while I was drawing architecture diagrams, and the transaction was processed by our service. "Allow" is going to replace "Checkout" faster than we think. So cool to be working on Agentic Commerce right

Postiz's Nevo David shows how to hook Postiz's OAuth MCP server into Muse through the custom-connector path, so Muse can schedule posts across 30+ platforms before an official directory listing.

AI at Meta

@AIatMeta

Muse Glimmer can complete multi-step agentic tasks end-to-end from a single natural language prompt. In this demo, it autonomously discovers a local Home Assistant instance via network tool calls, queries device APIs, writes a responsive HTML/CSS/JS dashboard from scratch, and

@star-power0

@star-power0

muse-fileapi is a dependency-free local HTTP service exposed via Cloudflare Tunnel that lets Muse, through a custom connector, list, read and write files in whitelisted directories with two-phase writes and an audit log.

@amanbthakkar

@amanbthakkar

An open protocol plus Muse skill and Cloudflare Workers reference server that lets each family member's Muse join shared boards (groceries, trips, household lists) with per-board identities and an approval card before anything is ordered.

いにしえ@高信頼AIニュース"NeuralWire.org"運営｜Will Oldgram

@old_pgmrs_will

muse-spark-1.2-contributor で 3D都市を生成、生成コストは日本円で20円くらい 自動旋回で延々見てられる☺️ 好きな位置・カメラアングルでの画像生成もサポートしたので、別途画像生成AIの参照素材として色々使える

Setup the latest (master) version of llama.cpp server with the guide and the official GGUF weights by Meta AI: https://huggingface.co/meta-models/Muse-Glimmer-30B-GGUF and connected the Hermes Agent to the llama.cpp endpoint. Getting about 22t/s (+3-4t/s) on M5 Pro, using ~24GB including the drafter (provided by Meta). The model did correct tool calls and actually did some useful work inside the Hermes Agent. Moreover, the resulting coding task/project works, which was not the case when running the model with OpenCode. Watch more: https://www.youtube.com/watch?v=cmENEolUtM4

@alpharomercoma

@alpharomercoma

A reproducible setup serving Muse Glimmer 30B on one AMD MI300X with a custom 11 GB vLLM 0.28.0 ROCm image, exposed as an authenticated OpenAI-compatible endpoint and driven from the pi CLI.

harjot.co

@harjjotsinghh

I pay for @Muse Code but didn't want to live in a terminal. On Windows it's WSL-only. So I built Helicon: an open-source desktop app for the actual Muse CLI. • uses your existing muse login, no API key • talks to muse serve over MSP, so Muse stays the agent • resumes

Paolo Rosson

@redp314

Got Meta's new Muse Glimmer 30B running on my MacBook (M3 Max, 96GG) and tested the serving options available so far. Fastest right now: Ollama's MLX engine (DFlash included) at ~29 tok/s. Tuned llama.cpp: ~21. Raw mlx-vlm: ~10, not optimized yet. Numbers below if you're

@ferrreo

@ferrreo

Custom firmware and a Go server that turn an M5Stack StackChan into Tarquin, a voice-driven robot butler with wake word, face tracking and on-device speech, using Muse Spark 1.3 via the Meta Model API as its brain.

https://github.com/mvrius/bluebubbles-muse BlueBubbles server on my Mac, Muse hook polling it every ~5s. How it works: the poll driver (bash shim + Python filter) checks for new messages and filters on an allowlist of senders, 1:1 chats, and group GUIDs. A new message from an allowlisted sender wakes Muse into a side chat with the message as context. Replies go back out as normal iMessages through the Mac. Why this instead of a messaging connector: connectors need an approval tap on every send, otherwise similar could be acheived via Messenger connector. Setup: BlueBubbles on the Mac, Tailscale so the agent VM can reach it, run the installer. Repo has the hook scripts, installer, architecture doc, and skill definition. Known issues: I am noticing that sometimes Tailscale connection drops on the Mac. I found that I need to bring down/up tailscale every hour for connection to stay up. A fun example from earlier today, I updated my calendar, moved dinner with my wife by 30 minutes - Muse mesaged the Family chat and informed my wife of the change. Cool findings: - Muse has a Tailscale option, you can connect the VM it runs on in Client model with other machines running Tailscal

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!

@cezaronx

@cezaronx

A reference CUDA worker that serves Meta's official Muse Glimmer 30B GGUF through llama-server on Runpod Serverless load-balancing endpoints or manual Pods, exposing a real OpenAI-compatible API.

@emman27

@emman27

MCP server built for the Muse connector directory that answers Singapore bus arrival times and MRT/LRT service questions using the official LTA DataMall API.

@Curious-coder08

@Curious-coder08

An MCP server built as a Muse connector for real-time public transit: find stops, see upcoming departures with live delays, plan simple direct trips and check service alerts.

@newjordan

@newjordan

A tested Muse Glimmer 30B Q4_K_M serving package for Intel Arc Pro B70 with full 131k context, reporting 19.0 tok/s decode at 129k cached and 503 tok/s full-context prefill.

Matt Naughton's merchant guide to Muse as a Shopify AI channel: where the Agentic toggles live, what direct checkout does, and why browser pixels don't fire on Meta-side checkout, so only server-to-server events count.

Anyone using Muse an orchestrator for fleets of coding agents? I’ve found it surprisingly effective and it’s convenient to be able to do so on the go from my phone. Plus Muse can instantly serve your web app for quick testing. it’s actually been pretty fun.

armand

@armand_ruiz

My @Muse just handled an entire IKEA return for me; customer service, scheduling.... The pickup guy shows up at my door and I genuinely forgot I'd even asked for it. This is what an agent is supposed to feel like.

Fireworks made Muse Glimmer 30B available on launch day, pitching high-concurrency, cost-effective serving for always-on agents.

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.

@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.

@ArshansGithub

@ArshansGithub

An OpenAI Responses-compatible shim that serves the Muse assistant as a stateless HTTP model backend for Claude Code via CLIProxyAPI, one model turn per request.

Venelin Valkov runs Muse Glimmer 30B locally via llama.cpp server and tests it on coding with OpenCode, agentic tasks and frontend work.

DFlash 2 speculative-decoding draft model for Muse Glimmer 30B from z-lab, run inside a speculative decoding server alongside the target model.

The smallest and fastest MLX 4-bit (group size 64) Muse Glimmer checkpoint, served with SGLang's MLX backend on Macs with 48 GB+ unified memory.

@GordonWei

@GordonWei

An OpenAI-compatible /v1/chat/completions server that runs Muse Glimmer on Apple Silicon through mlx_vlm while LM Studio's bundled MLX runtime can't yet load the architecture.

@Codys12

@Codys12

A correctness-first bring-up of Muse Glimmer 30B on a single Tenstorrent p150 card, with paged KV cache, native DFlash speculative decoding and an OpenAI-compatible server.

@CBannink

@CBannink

Installer that routes OpenCode's coder and reviewer agents at a Muse coding subscription, calling api.meta.ai directly with no local proxy, reusing the muse login key.

@LayerMakerLab

@LayerMakerLab

A Cloudflare Worker starter for Muse connectors that keeps upstream API keys server-side behind one bearer token, with an OpenAPI spec, SKILL.md template and proof checklist.

@jevbook

@jevbook

Hosted MCP server (no key, no install) that gives Meta Muse and other agents fact-checking, verified research and typed decisions with calibrated probabilities from TypeSafe AI's jev model.

@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.

@bertybirdbot

@bertybirdbot

A reusable skill pattern for connecting a Muse agent directly to site APIs instead of driving a browser: a vaulted credential, a surrogate-auth helper and a tiny CLI per service.

Alexandr Wang

@alexandr_wang

we're opening muse connectors to developers! we have seen so much excitement in the developer community, integrating muse into everything from robots to mood lights and more. plug your API into muse, then people can use your service just by asking for it. every request runs in

@kenhuangus

@kenhuangus

Files from a working DeepSeek Harness session against Muse Glimmer 30B served by Ollama on a DGX Spark, including a sample agentic security project that queries an AST call graph.

@cherry-nft

@cherry-nft

Experimental dependency-free Codex skill that lets Codex send tasks to Muse and read its responses through the user's signed-in Muse browser session, no server or API key.

@itsgoharr

@itsgoharr

Threadwell Slack is an open-source Muse connector that bridges to Slack's official MCP server via a local OAuth bridge, submitted to the Muse Connector Platform with a full submission pack.

@mpfaffenberger

@mpfaffenberger

A reproducible single-GPU deployment of Muse Glimmer 30B in BF16 with DFlash speculative decoding on a 96GB RTX PRO 6000 Blackwell, served via vLLM with pinned overlays and smoke tests.

@n3xtgentechitalia

@n3xtgentechitalia

A llama.cpp container that serves Muse Glimmer 30B with vision and DFlash on an RTX 5090, reporting 98.8 tok/s single-stream and about 250 tok/s aggregate with 131k context.

@Jemno23

@Jemno23

A Vercel-hosted MCP connector for Muse that pushes cards to a 600x600 display web app, built around a serverless socket-lifetime spike with session state kept in memory or Redis.

@hypery11

@hypery11

oh-my-musecode is a content bundle and CLI for Muse Code that installs 35 skills, slash commands, hooks, an MCP server and themes, with an ownership ledger so uninstall restores the machine byte for byte.

@naileditnorthshore-lab

@naileditnorthshore-lab

Change Verifier is a Muse connector and MCP server that runs seven checks on vendor bank-account or payee changes, returns clear, review or block, and holds the change until a named owner accepts it.

@carlosrymer

@carlosrymer

A browser-only agent console for Muse Glimmer 30B that renders the model's ATEM tool-call format client-side, streams from a local server and runs every tool inside the tab across seven capability tracks.

ContextBolt's founder shows how to connect the hosted ContextBolt SEO MCP server to Muse, either from the connector directory or as a custom connector, for keyword research, live SERPs and site audits.

SGLang

@sgl_project

SGLang is honored to provide day-0 support for @AIatMeta's Muse Glimmer. ~230 tok/s on a single RTX 5090 with NVFP4 + DFlash on, and it runs out of the box on @NVIDIAAI RTX PRO 6000, DGX Spark, and Apple Silicon via MLX. Huge thanks to the NVIDIA and Meta teams for the

@bex-co

@bex-co

muse-code-acp is an unofficial Node adapter that exposes Meta's Muse Code through the Agent Client Protocol, so it can be driven from Zed or VS Code with streaming, tool calls and MCP servers.

LMSYS Org

@lmsysorg

@AIatMeta's Muse Glimmer (30B dense, open-weights) launches with SGLang day-0 support. We got ~230 tok/s on a single RTX 5090, with NVFP4 + DFlash on. It also works out of the box on @NVIDIAAIDev RTX Pro 6000, DGX Spark, and MLX for Mac. Speed and reliability have always been