Entries matching “api”

Zach Holman

@holman

Still really enjoying @muse. I use Things.app for all of my todos, and though it has cloud sync they (still) haven’t added an official API. I told muse to build it and a minute or two later I have ongoing todo sync from my LLM across all my Apple devices. Wild.

Raj

@hrhraj

Took your custom-connector idea to the physical world: the "service with an API" was my robot. Muse wrote the connector for my rover's API, then installed PyTorch & Depth Anything V2 in the VM because the camera is 2D, drove to the black ball and stopped a few inches short.

@vcspr

@vcspr

Unofficial terminal skill for Muse that calls the Apify API to list actors, start runs, poll status and pull dataset items from a single stdlib-only Python CLI.

@meta-models

@meta-models

Meta's official recipes for building agents and coding tools on the Model API with Muse Spark 1.3, covering API basics, multi-agent patterns and end-to-end use cases via OpenAI- and Anthropic-compatible SDKs.

@sureshsankaran

@sureshsankaran

A Muse workspace skill that searches Ticketmaster's Discovery API for events, attractions and venues using a vault-stored API key.

@joymadhu49

@joymadhu49

A local shim that lets the unmodified muse coding CLI run on any OpenRouter API key by translating its Responses-API-plus-extension wire protocol, so no Meta account is needed.

Meta for Developers

@MetaforDevs

AI developers - we’ve published a technical guide covering how to get started with Muse Spark on Meta Model API. Muse Spark is a multimodal reasoning model built for agentic tasks, coding, computer use and long-context workflows. See what you can build 👉 bit.ly/4vWMkZx

@jeperkins4

@jeperkins4

A zero-dependency Ruby client for Meta's Model API focused on the Responses API: reasoning replay across tool loops, previous_response_id state, web_search grounding and typed errors with retries.

@amoeba-farm

@amoeba-farm

Muse connector application for public hardware-market research over Amoeba Farm's existing HTTPS API, exposing RAM and NAND market catalogs and options books as Raw API operations.

Simon Willison notes Muse Spark 1.1 is the first Spark model with an API and that Meta claims big gains in agentic tool calling and computer use.

@kyl3kan3

@kyl3kan3

Quote-and-book API for HVAC and plumbing shops in the St. Louis metro, built so a Meta Muse agent can quote, hold a slot for 15 minutes and book a job without a phone call.

AI/ML API

@aimlapi

Muse Spark 1.3 vs 1.2: sculpt viking figurines @AIatMeta dropped Muse Spark 1.3 today — we ran it against Muse Spark 1.2 both models got the same brief: three collectible 3D figurines — a viking helmet, a diamond-studded axe, a longship with a crew — one self-contained HTML

@franktheglock

@franktheglock

Meta Model API provider extension for pi that adds Muse Spark 1.1, 1.2 and 1.2-contributor through the OpenAI-compatible Chat Completions endpoint.

Nicholas

@PositiveInvst

The big thing keeping me from migrating 100% to #muse was the TickTick integration. Asked muse to build it via API - took 5mins. And now I have a robust integration. ChatGPT is no longer my AI of choice. $META @Muse

@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.

@albertodepaola

@albertodepaola

Out-of-tree Hermes Agent model-provider plugin for the Meta Model API and the Muse Spark family, including the low-cost muse-spark-1.2-contributor tier.

@spora-ai

@spora-ai

Meta Muse vendor plugin for Spora agents shipping Muse Voice Transcribe speech-to-text and Muse Image generation and editing behind one Meta Model API key.

@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.

This is a small HTTP API you run on a machine you control. Muse SSHes in and calls http://127.0.0.1:8792. It can search Amazon and add to a personal cart or a Prime Business cart. It does not check out or pay. https://github.com/aasper03/muse-amazon-bypass You need Python 3.11 and curl. Sign in to Amazon in a normal browser and export cookies for each account. Amazon blocks automated login windows. The README covers Muse-over-SSH setup, and a later section shows how to call the same API yourself.

@TheStreamCode

@TheStreamCode

opencode plugin that bills Muse Spark usage to a Muse Code monthly subscription through a Meta device-code login instead of a pay-as-you-go API key.

@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.

@swalker326

@swalker326

OpenCode plugin that reads the muse CLI login, registers a muse-code provider against api.meta.ai and rediscovers available Muse models every 30 minutes, metered against the Muse Code subscription.

@terramike

@terramike

A Muse skill that helps people buy crypto (XRP by default) with a card through Changelly, giving CoinGecko spot estimates, prefilled buy links and plain fee disclosure without any API keys.

@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.

@NeedsChloesure

@NeedsChloesure

Muse Proxy is a Cloudflare Worker gateway that stores CalDAV/CardDAV credentials once and issues scoped API keys, so the Muse agent can reach self-hosted calendars without holding passwords.

@danny-hines

@danny-hines

Call Muse Code from Codex or ChatGPT desktop via MCP tools and skills for independent code review, approach comparison or delegated implementation, using a Muse Code subscription or API key.

@stricker67-ai

@stricker67-ai

Provider config that lets OpenClaw use Muse Spark models authenticated by Muse Code's browser login instead of a Meta Model API key, no plugin or patched build needed.

@EclipseAditya

@EclipseAditya

Pi coding agent extension that adds Muse Spark 1.2, 1.2-contributor and 1.1 via the Meta Model API, a maintained fork that fixes a false auth warning on pi v0.84+.

@raksix

@raksix

A documented setup that runs Muse Spark 1.3 Contributor inside Claude Desktop on macOS through a small Node proxy that translates Anthropic requests to OpenCode Go's OpenAI-style API.

@jason-snell

@jason-snell

windows-cua is a native C++ Win32 port of Meta's macOS computer-use agent that drives Muse Spark 1.1 through the Responses API to see and operate a real Windows desktop.

Rohan Paul

@rohanpaul_ai

Meta's open-sourced Muse Glimmer 30B vs Muse Spark 1.2 Glimmer delivered 5 runnable games at roughly one-fifth Muse Spark's cost. Very Interesting experiment by @aimlapi . the setup: • Muse Glimmer 30B — via aimlapi[.]com. cost: $0.02 • Muse Spark 1.2 — via aimlapi[.]com.

Motion Labs shows how to connect a product catalog to Advantage+ Catalog Ads and the Meta Model API with Muse Spark 1.1, plus compliance checks for agencies.

AgentMail's guide: tell Muse to get an AgentMail address, paste an API key into its Secrets tab, approve the connection and send a test; about five minutes, no code.

@Srimi1

@Srimi1

A hybrid harness with a claude-muse launcher that runs Claude Code on Meta Model API Muse Spark models, plus a /talk broker for structured exchanges between Claude Code and Muse Code terminals.

@evangit2

@evangit2

A guide and tooling for pointing Muse Code's meta provider at any OpenAI-compatible gateway with API-key auth and no Meta login, including workarounds for 1.0.1's bearer-withholding change.

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

freeCodeCamp's write-up of its three-hour Muse course by Andrew Brown, covering model benchmarks, API integrations, agent frameworks, the Muse Code harness, and a Go/SQLite/Docker full-stack build.

Cline

@cline

Muse Spark 1.1 just launched and it's their most capable coding agent model yet. On Terminal-Bench 2.1 it scores 80.0%, in the same cluster as Opus 4.8 (82.7%) and GPT 5.5 (83.4%). Use it in Cline with the Meta API!

Meta's developer guide to first calls, coding primitives and agentic patterns; its multi-agent recipe turns a one-line idea into an app plus launch package, and Spark fixed all 5 planted bugs in 7.6 turns on average.

loot radar is my game deals site, radar.codemeoww.com. tracks deals and freebies across stores like steam and epic, ranked by discount and popularity. features: daily loot summaries on telegram and discord, fast price alerts, a morning deals digest, wishlist tracking so you get pinged when a game you want drops, and an api for the deal data.

Muse already comes with connectors for popular services. When the one you want isn't on the list, you just ask Muse to build the integration. It writes the software itself and runs it on the cloud computer you share with your Muse. If the service has an API, Muse can talk to it. This demo hooks up Linear, the project management tool, in under a minute. Muse takes the API key, builds a connector that can list teams, search and create issues, and update their status, then verifies everything with a quick identity check. Two things from follow-ups worth knowing: • API keys go into secure storage through a dedicated prompt. The agent never sees them. • Custom connectors fall under the same human-in-the-loop approvals as everything else, so sensitive actions still ask you first. Has anyone here built a custom connector yet? What did you hook up, and what are you using it for?

@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.

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!

@Telep-IO

@Telep-IO

Next.js catalog site (muse.telep.io) and API gateway (api.muse.telep.io) that hosts Telep IO's independent Muse connectors as separate modules behind one deploy.

LoRA adapter for Muse Glimmer 30B that makes responses predictable machine-readable JSON with a stable API-style envelope.

@sureshsankaran

@sureshsankaran

A Muse workspace skill for managing GitHub repos through the REST API, including pushing directories via the Git Data API, with the token kept in the Muse vault.

Mileage might vary https://github.com/Some1sm/MuseBridge it's not a complete functional agent at all lol but it can create, read, delete and download whole projects from muse itself. Setup instructions in the readme I hope with this base somebody with chatgpt or claude sub can get a working thing done. https://preview.redd.it/10luxcr9qwqh1.png?width=749&format=png&auto=webp&s=faa8f42078b3e4966b292a6aec86bc213a233d05

Meta for Developers

@MetaforDevs

Muse Image is now available on Meta Model API and priced for production volumes at $0.01/image. It’s an agentic image model that reasons before it renders. Each call searches the web to refine the output through iterative passes and evaluates the prompt for precise elements

Meta for Developers

@MetaforDevs

Muse Spark 1.3 is now available in Muse Code and Meta Model API. It’s tuned for the agentic builds developers actually ship, including long-running, multi-agent workflows. 🧵👇(1/4) h

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.

AI/ML API

@aimlapi

Muse Glimmer one-shot 5 games! @AIatMeta dropped Muse Glimmer. So we ran it against Muse Spark 1.2, on five one-file game demos, each one written to play itself: Tetris, a top-down pixel street race, a rooftop web-slinger, a blue hedgehog platformer, and Flappy Bird. the setup:

@luckeyfaraday

@luckeyfaraday

An unofficial loopback shim that lets Meta Muse Code use OpenAI Responses APIs, OpenRouter, Codex OAuth and the official Claude Code CLI, switchable from Muse's /model menu.

@1clawAI

@1clawAI

The 1Claw connector gives Muse users their AI agents' approval queue, wallets and activity inside Muse, backed by the 1Claw Platform API with scoped, revocable connector tokens.

@evangit2

@evangit2

A pure-stdlib Python proxy that exposes Meta API access to Muse Spark through OpenAI-compatible endpoints for tools like OpenCode and Hermes, with no muse CLI required.

Mark Zuckerberg

@finkd

Opening access for developers to build Muse connectors. You bring the API -- Muse brings the agent, the browser, and the context of what the person actually wants. People reach your service just by asking for it, and their agent takes it from there. New connectors are live

Motion Labs covers free access on meta.ai, the paid API, pricing, features and use cases for Muse Spark 1.1.

@TheStreamCode

@TheStreamCode

Hermes Agent plugin that adds a muse-code provider reusing your Meta login, so Muse Spark runs on your Muse Code subscription instead of per-token API billing.

explainx.ai breaks down Meta's Sep 19 opening of the Muse connector platform: developers bring the API, Muse brings the agent, browser and user context.

@QuJindai

@QuJindai

A Muse skill and thin gh-style CLI for the GitHub REST API that authenticates through a stored custom.github connector, so the skill never handles the raw token.

@AlexLaraMerino

@AlexLaraMerino

reZme is a SwiftUI Mac app that turns YouTube videos into an outline, main thesis and key moments, generating the report with Muse Spark through the Meta Model API.

Mark Zuckerberg

@finkd

Muse Spark 1.3 is rolling out today with frontier performance almost too cheap to meter. This is the biggest jump we've made so far on coding and agentic work. Try it in Muse Code and our API. Next up 🍉 and Muse Spark open weights releases coming soon.

@sureshsankaran

@sureshsankaran

A Muse workspace skill that manages a Tailscale tailnet from chat, listing devices and generating auth keys, with the API token held in the Muse vault and attached via a runtime surrogate.

@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

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.

WTF Code shows how to wire Muse Spark 1.2 into OpenCode through the OpenCode Zen API and tests it as an Opus 4.8 challenger.

@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.

@spinespine

@spinespine

VS Code extension that adds Muse Spark 1.3, 1.2, 1.1 and Contributor variants to the Copilot Chat model picker with a Meta API key, published on the Marketplace and Open VSX.

AI John walks through installing OpenCode, creating an API key and connecting Muse Spark 1.3 on the Contributor Free tier, noting prompts may be used for training.

Been building this for a few months, mostly for myself, and it just got a proper release so figured I'd post it. It's a native GGUF inference runtime with OpenAI/Anthropic-compatible APIs and a chat UI. The whole point is one consumer NVIDIA card + lots of RAM: MoE models that don't fit in VRAM run their experts on the CPU, or split with a hot set cached on the card. It figures out what fits at startup instead of you guessing offload layer counts. Runs Qwen 3.x dense and MoE (incl. Qwen3.8-Flash-Next), DeepSeek-V4-Flash, Ling 3.0, K2-Horizon, Gemma 4, Laguna, Muse Glimmer. Image input via mmproj on the Qwen models. Also does Z-Image-Turbo image gen next to a chat model on the same card. Numbers from my laptop (5070 Ti 12 GB, 60 GB RAM): - Qwen3.8-Flash-Next IQ1_S: ~35 tok/s decode, ~475 tok/s prefill - Qwen3.8-27B IQ2_XXS: ~40 tok/s - DeepSeek-V4-Flash: 6-7 tok/s (that's basically the DRAM bandwidth limit) - Z-Image 1024x1024 in ~15 s with a 35B loaded beside it Stuff I think is neat: - Kernels are compiled at runtime by NVRTC, so no CUDA toolkit in the wheel and no nvcc. Same kernel source compiles as plain C++ for a CPU-only backend. - KV cache in f16 / q8_0 / TurboQu

@kamellperry

@kamellperry

A reverse-engineered local CLI and FastAPI wrapper that talks to Meta AI's Muse Spark and exposes an OpenAI-compatible /v1/chat/completions endpoint, with a browser playground and a SQLite request ledger.

Simon Willison's notes on Muse Spark, Meta's first model since Llama 4: hosted, not open weights, with a private API and interesting tools in meta.ai chat.

Vijay Umapathy

@vijayumapathy

Used @Muse to help browse and book visits for daycares nearby. It booked one visit online and said I need to call the other one. It found me bland.ai, I gave it a key, and it phoned and scheduled the other. Nailed the logistics talking to a human on the other end!

Nadia Dubois walks through API key setup, auth, tool-calling config and cost control for Muse Spark 1.3 at $1.25/M input and $4.25/M output tokens.

@TanayYadavDev

@TanayYadavDev

An always-on laptop voice companion: local Porcupine wake word, local Whisper speech-to-text in Hindi and English, Muse Spark via the Meta Model API as the brain, offline TTS and local conversation memory.

@tejakummarikuntla

@tejakummarikuntla

Demo that turns an ops REST API into eight MCP tools for Muse Code through Kong AI Gateway 2.0, with per-identity tool ACLs so an investigator can diagnose but only an operator can roll back.

@BlockedPath

@BlockedPath

Meta Model API OAuth for the pi coding agent. It routes Muse Spark through the openai-responses provider, since the author notes the Muse prompt cache hits about 0% on /chat/completions, and sends 24h prompt-cache retention.

CellCog explains the Muse connector platform: a three-step describe/review/list flow at muse.ai/platform, directory vs custom connectors, and Stripe Link payments.

Duffel's travel API is embedded in Muse so users can search live flight inventory across 500+ airlines, book, and manage trips including cancellations.