Resources

Meta's Connect 2026 roundup: Muse voice mode, the Muse Realtime Avatar, Muse on AI glasses, an agent email address, Mac computer use, and connectors from Walmart, Best Buy, Expedia, Instacart, Notion, GitHub, Box and more.

A prebuilt macOS arm64 bundle for the Muse Glimmer voice-agent recipe in meta-oss-cookbook: Parakeet speech helper, Muse Glimmer worker and Supertonic TTS executables built from one pinned ExecuTorch checkout, plus the shared MLX Metal library.

Taylor Arndt retried Muse after Meta Connect with Gmail, Google Calendar, GitHub and her own product-management tool connected, and found it inferred her COO role from calendar data and became useful for ongoing task management.

Unsloth Dynamic 2.0 GGUF quants of Muse Glimmer 30B with a companion run guide and thinking toggles.

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.

DesignRush argued Muse inserts itself into product discovery and ranks on structured data like specs and reviews rather than ad spend, and told brands to map the agent shopping journey, measure agent referrals separately, and audit who can access their product data.

Abstract Extraordinary digs into the architecture behind Meta's pitch of an autonomous, multimodal agent that runs on-device with no cloud.

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

Stackademic covers the architecture of Muse connectors, how to design connector actions, prompt-injection risk, and whether building one is worth it now that the platform is open.

Four spawn experiments against Muse's multi-agent runtime produced six database lock timeouts, recovered from its durable trace.

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.

Meta's developer blog introducing Muse Spark 1.2, co-trained with the new Muse Code terminal harness, with 1M-token context for multi-file refactors and hours-long tasks.

Meta's lightweight DFlash block-diffusion drafter for Muse Glimmer 30B that predicts blocks of 16 tokens per forward pass for speculative decoding.

NVIDIA's NVFP4-quantized version of Muse Glimmer 30B.

LM Studio community highlight GGUF quants of Muse Glimmer 30B.

Unsloth's bitsandbytes 4-bit build of Muse Glimmer 30B for fine-tuning and inference.

Meta's engineering write-up on Muse security: isolated VMs, a separate Sentinel permission authority, credential surrogation and layered prompt-injection defenses, with bug bounties up to $300,000.

Red Hat AI's FP8 weight and activation quantized Muse Glimmer 30B (text and image input) for vLLM.

RuntimeWire's head-to-head eval has Muse Spark 1.1 beating Claude Opus 4.8 by 10 points overall with a 95% confidence verdict.

GeekWire's Todd Bishop examined Amazon blocking Muse's shopping agent and the open questions it raises about platform rules, revenue sharing and customer relationships in agent-driven commerce.

Povilas Korop scores Muse Spark 1.3 on six real coding projects (Laravel, React-TS, PHP, Flutter, Go): Max effort ranks #26 with 48.43/60 at about $0.01 per prompt and 3:42 per prompt.

Julian Goldie's GoldieBench scores Muse Spark 1.2 at 7.55/10 across 50 one-shot builds. It did well on fractals (8.7), a macOS desktop sim (8.6) and a galaxy viz (8.6), but 3D games like Doom and Dragonrealm often came out incomplete or black.

MarkTechPost walked through Muse for Mac, which pulls context from Calendar, Mail, Messages, Notes and files for multi-step tasks, with opt-in access, optional Full Disk Access and approval before deleting files or sending messages.

Taylor Arndt tested Muse with VoiceOver and found non-standard text fields and missing heading structure in chats, plus connector gaps such as iCloud email that kept it out of her work.

Box's Complex Work Eval finds Muse Spark 1.1 up to 5-6 points above the top-tier composite on structured work, and nearly 30 points ahead on cost-optimization analysis.

Practical Ecommerce's Armando Roggio compared Shopify welcoming Muse as an agentic commerce channel with Amazon blocking it, and what that split means for merchants and the customer relationship.

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.

HolaClaw tested Muse Glimmer on base M3 and M4 Macs: it fits in 24GB of RAM but generates at 4.3 tokens per second.

AdaptlyPost walks through connecting its scheduler to Muse as a custom connector: give Muse the public OpenAPI spec and docs, then paste a bearer token into Muse's secure credential prompt.

Mixed-precision NVFP4/MXFP8 checkpoint of Muse Glimmer packed for SGLang, keeping v_proj, down_proj and lm_head at MXFP8.

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.

INT21 ran Muse Spark 1.1 in its SwarmOS orchestration layer and argues the durable enterprise advantage is orchestration, not any single model.

A How I AI review: the reviewer gave Muse a calendar, email and kids' chaotic schedule and got a one-shot family PDF described as more beautiful than anything made with Claude.

mlx-community's 4-bit MLX conversion of Muse Glimmer 30B made with mlx-vlm 0.6.12 for Apple Silicon.

GGUF builds of Muse Glimmer 30B all cut from the same BF16 source weights, including full-precision files.

Red Hat AI's INT4 weight-quantized Muse Glimmer 30B.

Common Thread Collective's playbook for brands selling through Muse via Shopify: audit product data for agent readability, optimize Shop Pay conversion, build first-party lists, and upgrade attribution for agent-driven traffic.

TechCrunch's Connect roundup: retail connectors (Walmart, Best Buy, Gap, Sephora, Wayfair), Shop Pay and PayPal checkout, GitHub/Granola/Notion connectors, 1,500+ developer applications in a week, and Zuckerberg's plan to profit from a small fee on transactions.

A coding-specialised speculative-decoding drafter for Muse Glimmer 30B, fine-tuned on software-engineering traces. It raises mean acceptance length to about 6.9 versus 4.0 for the community DSpark, for about 3.8x over no speculation.

Ramanpal Singh builds a multi-page company site, a Gridlock puzzle game, a 3D traffic sim, the Shipyard release-notes SaaS and a diagram digitizer with Muse Code for about $10. Spark 1.2 often failed to enforce rules like win conditions.