Entries matching “workflow”

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.

Meta's post on Muse Code exiting beta with inter-session messaging, parallel-agent workflow orchestration, rewind, a TypeScript SDK and three subscription tiers.

@phareim

@phareim

musecode adds a /musecode slash command, a Haiku relay agent and a muse-run CLI so Claude Code Workflow fan-outs run their leaf tasks on the free Muse Spark 1.3 model through opencode.

I've been using Muse pretty heavily since shortly after it launched, and I'm curious what everyone else is actually doing with it. I've been trying to get past the "ask it a question" stage and use it more like a real personal assistant. So far I've been testing it for things like: - Creating a personalized morning briefing around the news and information I care about - Travel research, bookings and itineraries - Keeping track of projects - Reviewing bills and subscriptions - Researching things and then actually helping me follow through on them The biggest difference I'm noticing is that I'm starting to think less about "what question should I ask AI?" and more about "what do I need to get done?" I'm still figuring out where Muse is genuinely useful versus where it's just AI novelty. For those of you who have been using it for a few days: What's the most useful thing you've actually had Muse DO for you so far? And is there anything you're trying to make it do but haven't figured out yet? I've been testing different workflows almost every day, so I'd be interested in comparing notes. But probably my biggest Muse project so far has been putting together a Muse Tips & T

Meta Developers session on what Muse Spark's act-on-perception multimodality unlocks across code, physical action and video workflows, plus Muse Voice Transcribe.

Eric Siu shows the business tasks he gives each agent, including Muse reworking content, and picks a daily driver.

Motion Labs explains Muse Spark 1.2 setup, the cheaper Contributor tier at $0.10/M input tokens, Artificial Analysis scores and using it for content.

Alok

@analogalok

The "I don't have enough VRAM" excuse just died. I’m running Meta’s new 30B Muse Glimmer Q6_K_XL with a massive 130k context window on just 26GB VRAM FREE compute on Kaggle. Kaggle provides you free 2x Nvidia T4 GPUs. 30 hours usage each week! Yesterday, I showed you the

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.

Mark Zuckerberg

@finkd

Workflows can break out a task across multiple focused agents, carry the intermediate work between stages, and return one result at the end. Good for engineering work that's too complex for a single agent.

Newton Jones

@NewtonJonesIV

I was able to migrate multi agent workflows to Muse from Claude. I gave it the master prompt- Muse executed flawlessly- no feedback- just my prompt- built for Claude 4.6. It is now running this prompt every morning at a fraction of the cost. Leaned up all of my emails-

RuntimeWire reverse-engineered the Muse Code R708.1 binary and found a dormant JavaScript workflow engine, multi-agent orchestration primitives and an environment-gated plugin manager.

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

Agent Workflow Lab runs the Q8 GGUF of Muse Glimmer 30B through llama.cpp on an RTX 4090 plus 3x RTX 3090, measures DFlash speedups and a 120K-token retrieval probe, then has it build a Three.js browser FPS with no human edits.

@Anil-matcha

@Anil-matcha

A community catalog of Meta Muse integrations and 150 connector skills with capability, authentication and permission notes, plus workflow templates for using Muse with connectors.

@mlmrx

@mlmrx

Independent open-source community and connector directory for personal agents: search connectors by outcome, share workflow prompts, and import an OpenAPI 3.x document to prepare a connector listing.

Mika Reyes lists eight Muse workflows with ready-made prompts for creators: ranking Instagram insights, triaging DMs, learning your voice for captions and repurposing content while you film.

Federico Ramirez uses Muse Code and Spark 1.3 for GitHub issue-to-PR workflows. He finds output readable and $15/month good for 2-4 hours of continuous coding, but skill execution inconsistent and the sandbox too restrictive.