ShipWithMuse

ShipWithMuse is a curated catalog of what people are building with Meta Muse. It currently indexes 1,079 real builds — experiments, tools, connectors, skills and use cases — across 27 pages of results, with newly submitted entries featured at the top of the homepage. Visitors can search and browse by category, source and build type, and every entry links back to its original post, repository, video or site. The catalog spans the whole Muse ecosystem as documented by its community: Muse Code and the Muse Code CLI, the Muse Spark model family, the open Muse Glimmer model, Muse connectors and MCP integrations, the Meta Model API, and the Muse personal agent. Its main purpose is to make it easy to see what Muse can actually do, and to point readers at the public source behind each build. The problem the catalog addresses is dispersion. Builds made with Meta Muse appear as X posts, Reddit threads, GitHub repositories, YouTube videos, blog resources and written guides, each published by a different author on a different platform. Following the ecosystem means reading many sources, and older but still useful examples are easy to lose. ShipWithMuse collects those scattered entries in one place and keeps a consistent structure around them, so a connector demo, a benchmark write-up and a game prototype can all be found through the same browse and filter interface. Because every entry links back to its original source, readers are not asked to trust a summary: they can open the repository, watch the video, read the thread or visit the site and evaluate the build themselves. Builds in the catalog are grouped by type, and the counts are published on the site: X posts (462), Reddit posts (124), GitHub (143), Videos (61), Sites (33), Skills (110), Resources (137) and Guides (9). This breakdown matters because different visitors want different formats. Someone who wants working code will head for GitHub entries such as muse-fileapi, a dependency-free local HTTP service exposed through Cloudflare Tunnel that lets Muse, through a custom connector, list, read and write files in whitelisted directories using two-phase writes and an audit log. The same audience might look at TerMuse, which shows a Muse agent's live terminal and an interactive browser of the machine it is working on, side by side, so the user can watch and type or click in the same session. Someone who prefers a walkthrough can watch videos, such as Greg Isenberg explaining how a Muse connector works, or read a resource like QAInsights' hands-on first look at Muse Code CLI commands, syntax and setup. Skills and guides round out the catalog for readers who want reusable building blocks or step-by-step material. Entries are also organised by category, covering Coding & dev tools, Connectors & MCP, Games & 3D, Benchmarks & research, Local & open models, Apps & websites, Errands & personal agent, Business & commerce and Agents & automation. Category browsing makes the breadth of the ecosystem visible. Coding & dev tools includes the public release of Muse Spark 1.3 max, described as delivering significantly stronger coding and agentic performance, and a procedurally generated Minecraft world produced in a single HTML file for ten cents of development cost. Connectors & MCP includes a Browserbase plugin for Muse Code installed through the plugin marketplace, and a Stackademic resource on connector architecture, connector action design and prompt-injection risk. Games & 3D includes a browser driving demo with different daytimes and vehicle physics built with Three.js, and famous paintings rebuilt in Three.js from a four-line prompt. Benchmarks & research collects model comparisons and evaluation write-ups, while Errands & personal agent gathers practical personal-assistant stories. A "Star picks" filter narrows the catalog to editorially highlighted entries, and the site also marks standout posts with a pick marker as they appear in the feed. Star picks range from a Linear connector built by Muse in under a minute, where Muse takes an API key and builds a connector that can list teams, search and create issues and update their status, to a privacy teardown of the Muse apps documenting shipped tools for iMessage, WhatsApp, Mail, screen control, background sync and a bundled Chrome extension. Other picks include Muse Voice Transcribe, described by Mark Zuckerberg as MSL's first real-time audio perception model and state of the art in streaming speech-to-text, handling speaker diarization and endpointing natively in a single model. Builds can be added through a Submit yours page, and newly submitted entries are featured on the homepage — an example being multi-agent workflows in Muse Code, where a workflow splits a task across several focused agents, carries intermediate work between stages and returns one result. The catalog also carries a sponsored placement the same size as a post, shown every 12 builds on every catalog page and priced at $100 per week. ShipWithMuse works as an editorial directory rather than an automated feed. Entries are curated by Mohith Kumar Chaluvadi, credited on the site as the curator, and the catalog describes itself as a curated directory of real builds on Meta Muse, each linked to its public source. Each listing combines a title, a short factual summary, the author's handle and image, a category label, a build type and a link to the original public location. Select entries carry the Star pick marker, and a dedicated filter shows star picks only. That combination — human curation, consistent metadata and direct outbound links — is the site's basic method: it organises public work without reproducing it, so the people who made each build remain the ones the reader ends up visiting. The practical benefit is faster orientation. Instead of assembling a picture of the Muse ecosystem from scattered posts, a visitor can see how many builds exist, which formats they take and which categories they fall into. Benchmark-focused readers can find comparison write-ups in one place, including a test of 105 planted bugs across two real repositories that placed Muse Spark 1.3 (max) level with Fable 5.1 (high) at 33 and ahead of Grok 4.6 (xhigh) and Opus 5 (max) at 27, along with Spark 1.1 scoring 51 on the Artificial Analysis Intelligence Index and Spark 1.3 taking first place on Website Arena with an Elo of 1362. Builder-focused readers get working examples to study, and newcomers get guides, courses and resources such as a three-hour freeCodeCamp course on building apps and agent workflows with Muse Spark and the Muse Code CLI. Because every entry points at the original source, the catalog also sends credit and traffic back to the people who published the work. Concrete scenarios show how the catalog is used. A developer deciding what to build next can read multi-agent workflow descriptions and plugin installation commands, then start from a similar pattern. A team evaluating models can compare benchmark and research entries before committing to an API. Someone writing a connector can study a Linear connector built from an API key and verified with an identity check, or a local file connector exposing whitelisted directories with two-phase writes and an audit log. Game and 3D developers can look at self-playing one-file games, a Three.js driving demo and a Muse Code workflow that drives the Unity CLI to port a Mini Golf game to other platforms and convert it to VR. Personal agent stories illustrate practical errands: filing an Alaska flight claim from an email and two Lyft receipts, saving $603 a year on car insurance after a policy review, or finding $1,750 in unclaimed property. The catalog serves developers and builders working with Meta Muse tools, including Muse Code, Muse Spark and the open Muse Glimmer model, as well as readers who simply want to follow what the ecosystem is producing. The builds it links to touch a wide set of integrations and platforms mentioned across the entries — Linear, Shopify Catalog, Browserbase, Instagram, Unity, Three.js, Reddit, GitHub and YouTube among them. Details of those integrations belong to the individual builds rather than to ShipWithMuse itself. On the site's own commercial side, advertising is explicit: a sponsored slot the same size as a post, placed between the builds Muse developers come to read and shown every 12 builds on every catalog page, at $100 per week. The catalog itself is browsable through pages such as All 1,079, the individual type filters and Star picks. ShipWithMuse's value proposition is simple: it is the place to see what people are actually building with Meta Muse. By curating 1,079 real builds, organising them by type and category, marking standouts as star picks and linking every one back to its original post, repo, video or site, it turns a scattered stream of announcements, benchmarks and experiments into a browsable catalog. For developers choosing what to build, teams comparing models and anyone curious about the Muse ecosystem, it offers a fast, grounded starting point — and a place to submit the next build so others can find it.