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Meta introduced Muse Gadgets on Friday, an open-source project with firmware and a Linux SDK for building hardware that connects to its Muse personal AI agent. Meta also built a first-party device, Muse Home Link, and says it is giving away 5,000 units to Muse subscribers.

OpenAI unveiled Dots at DevDay 2026, a personal agent powered by GPT-6 Astra, available for now only on its $20/month Pro plan and above. Meta's rival Muse agent is free for anyone with a Meta account. OpenAI is positioning Dots as a long-horizon, knowledge-work tool with stronger privacy controls.

OpenAI debuted an AI agent platform called Dots at DevDay 2026, while Meta is preparing a pendant-like device called Muse Charm tied to its Muse agent. Both companies appear to be using cutesy software agents to prime consumers for dedicated AI hardware.

OpenAI introduced Dots, an 'always-on' personal agent, at its DevDay conference on September 30, 2026, following Meta's Muse launch three weeks earlier. Dots is bundled with OpenAI's $100-per-month Pro plan, raising questions about consumer willingness to pay for agentic AI tools.

Meta is rolling out its AI agent Muse to small businesses, connecting it to tools like Shopify, Slack, Dropbox, Stripe, and Notion. The move follows Meta's launch of a new Enterprise Platform initiative led by former MongoDB CEO CJ Desai.

Meta launched Muse for Small Business, connecting its consumer AI agent to workplace tools including Slack, Zoom, Asana, Intuit, Box and Canva. The move follows Muse's top-of-App-Store debut on September 8 and comes a day after Meta announced a new enterprise platform led by former MongoDB CEO CJ Desai.

Manus 2.0 transforms the AI agent into a platform with dedicated Video Editor and Game Dev environments, remote phone control via Computer Use, and a new Cue app that gives each agent its own email, wallet, and computer. The company also claims its new Cascade agent harness cuts token usage by 23.2 percent and runtime costs by 32 percent in tested configurations.

Meta is launching the Meta Enterprise Platform, a business unit that will sell AI tools including the Muse agent, Muse API, and Muse Code to companies. Former MongoDB CEO Chirantan Desai will lead the unit and report directly to Mark Zuckerberg.

Meta's Muse AI personal agent, rolled out this month, is helping consumers scan bank and credit card statements to identify and cancel forgotten subscriptions. Economists and industry data suggest AI agents could sharply increase cancellation rates, threatening a business model that relies on consumer inertia to roughly double revenue.

Meta Superintelligence Labs has released Muse Glimmer 30B, a dense open-weight model distilled from its larger Muse Spark system and tuned for agentic workflows on consumer hardware. The model supports 131K context, image understanding, and over 100 languages at $0.30/$1.10 per 1M input/output tokens.

Meta is letting users request early access to new Muse AI features by prompting the assistant directly, rather than running a traditional randomized beta test. The features, teased at Connect 2026, include a video-chat avatar, expanded shopping connectors, Mac computer-use capabilities, and support on Meta's AI glasses.

Meta's AI app Muse has surpassed 3.4 million downloads since its September 8 launch, according to Sensor Tower, with daily active users climbing 27% following this week's Meta Connect conference. The app has held the #1 spot on the U.S. App Store since September 18 and topped Google Play since September 19.

Every user of Meta's Muse agent gets a free, full-featured cloud computer running Ubuntu Linux, according to Meta Superintelligence Labs VP David Singleton. The app has drawn over 500,000 users in its first week and hit #1 on the Apple App Store.

Developers Peter James and Jonny L. Saunders say minimal prompting got Meta's Muse AI agent to zip and share its entire root filesystem, including internal documentation and hard-coded capabilities. Meta says exporting virtual machine data isn't a security breach since each user's Muse runs in an isolated persistent Linux VM.

Meta upgraded its Muse AI agent with real-time video chat avatars, personal email addresses, and Mac control at Meta Connect 2026. The company also unveiled new Ray-Ban glasses, a $1,299 VR headset, and a standalone Muse Charm device.

Meta used Connect 2026 to expand its Muse personal agent with real-time voice, video, email, and computer use, alongside new hardware including $1,299 VR Glasses and the Muse Charm keychain device. A promised 'most capable model ever trained' was teased but not shipped.

Meta unveiled a wave of new capabilities for its Muse AI agent at Connect 2026, including a real-time digital avatar, Mac desktop automation, a dedicated email address, and shopping integrations with Shopify, Stripe, PayPal, and major retailers. The updates signal Meta's push to position Muse as a central consumer AI platform powered by its Muse Spark model.

Meta added live video chat, real-time voice conversations, and per-user email addresses to its Muse AI assistant, alongside new retail partnerships with Walmart, Best Buy, Sephora, and others. CEO Mark Zuckerberg said Muse will become the "personal superintelligence" billions will use to accomplish their goals.

Meta announced at Connect 2026 that its Muse AI agent—which can book travel, send emails, and make purchases—will come to its AI glasses in the coming months. The expansion adds voice-activated task delegation to a product line already under scrutiny for privacy concerns.

Meta is expanding its Muse AI agent with live video calling powered by a new Muse Realtime Avatar model, plus dedicated email addresses and computer-use abilities on Mac. The updates follow Muse's launch earlier this month, which Meta says outpaced ChatGPT in mobile downloads during its first 12 days.

Amazon has blocked Meta's new Muse AI personal agent from completing purchases on its platform, saying the tool violates its terms of service. The move comes as Muse tops Apple's App Store and Meta stock rallies more than 20% in two weeks, with Wall Street watching Zuckerberg's Meta Connect keynote for signs of a broader agentic AI platform strategy.

Meta's personal AI agent Muse attracted more than 500,000 users and 2 million prompts in its first week, topping the US App Store. Meta has acknowledged the product was 'heavily inspired' by open-source project OpenClaw, with nearly identical file names surfacing online.

Meta's Muse AI agent app overtook ChatGPT as the top free iOS app in the U.S., racking up 730,000 downloads in its first five days, according to Sensor Tower. The app, powered by Meta's Muse Spark model family, marks Zuckerberg's biggest push yet into AI agents.

Meta has launched a Mac desktop version of Muse, its AI assistant that can act on files, messages, calendar, notes and mail within native apps. The release follows Muse's mobile and web debut earlier this month, which topped U.S. App Store charts.

Meta released a new MCP server that connects AI coding agents directly to the WhatsApp Business Platform, automating account creation, phone verification, and messaging template setup. The move expands Meta's existing lineup of MCP servers beyond ad management and app monitoring tools.

Meta's new agentic AI app Muse has surpassed 83,000 iOS downloads in the US and climbed to No. 2 on the App Store, according to Sensor Tower data. The launch trails Meta's own Threads and Meta AI debuts, as well as ChatGPT's early growth rate.

Meta has launched Muse, an AI agent controlled through WhatsApp that can browse the web, fill out forms, negotiate prices, and complete purchases with user approval via Stripe's Link service. The agent runs in an isolated virtual machine monitored by a separate oversight process Meta calls Sentinel.

Meta officially launched its AI agent 'Muse' this week using the @Muse handle on Instagram and X — the same usernames the rock band Muse used for years before quietly switching to @museband earlier this summer. Meta has not explained how the handle changes occurred.

Meta introduced its Muse personal AI agent app on Tuesday, offering free and paid tiers up to $100 monthly for tasks like booking appointments and monitoring security cameras. The launch, powered by Meta's Muse Spark foundation models, arrives as the company faces a $17 billion child-safety settlement and broader industry scrutiny over AI agent security.

Meta's new Muse Spark model comes with a two-tier pricing scheme: a standard rate, and a discounted 'contributor' rate — up to 95% cheaper — for customers who let Meta use their prompts and outputs for training future models. The move follows a failed attempt earlier this year to track employee computer usage for the same purpose.

Meta has released Muse Spark 1.3, its fourth model in five months, with an xhigh tier available now and a more powerful max tier in limited preview. The model improves sharply on agentic benchmarks and costs $0.55 per index task—cheaper than any rival at the same performance level—but still trails Claude Fable 5.1 on most tests.

Meta Superintelligence Labs shipped Muse Spark 1.3, which the company claims ranks #3 globally on the Artificial Analysis Intelligence Index and matches OpenAI's GPT-5.6-Sol on coding and agentic benchmarks. The model is available now via Muse Code and Meta's API, with open weights and a follow-up model promised soon.

Meta has released Muse Spark 1.3 Contributor, described as the cost-efficient contributor tier of its multimodal reasoning model line. The model offers a 1 million token context window at $0.10 per 1M input tokens and $0.20 per 1M output tokens, targeting experimentation and early-stage agentic workflows.

Meta has released Muse Spark 1.3, a multimodal reasoning model with a 1M-token context window, listed as free on OpenRouter. The model targets long-running agentic, multi-agent, and coding workflows, though audio input support remains incomplete.

Meta Superintelligence Lab released Muse Voice Transcribe, its first real-time audio perception model, claiming state-of-the-art streaming speech-to-text with native speaker diarization. The model handles 20+ speakers and code-switching across languages, priced at $3 per 1,000 audio minutes.

Meta is preparing to launch Hatch, a consumer AI agent that could cost up to $199.99/month, alongside a new model called Watermelon slated for October. Details come from internal documents cited by The Information, with key specifications still unconfirmed.

Meta has launched Pocket, a free app that lets users vibe-code lightweight games, gizmos, and widgets by describing them in plain language. Creations reportedly generate in under a minute and can be shared to a social feed alongside other users' projects.

Meta has introduced a discounted 'Contributor' tier of its Muse Spark 1.2 reasoning model, priced at $0.10 per 1M input tokens and $0.20 per 1M output tokens. The lower cost comes with a tradeoff: prompts and outputs may be used to improve Meta's products.

Meta released a new Mac app for Meta AI with system-wide dictation and the ability to answer questions based on what's visible on screen, using its Muse Spark model. The launch also bundles business-focused features letting merchants connect Instagram, Facebook, ad accounts, and Google Workspace to the assistant.

Meta has released a native Mac desktop app for Meta AI, built with AppKit and SwiftUI rather than Electron, weighing just 16MB. The 1.0 beta adds Mac-specific features including a global composer shortcut, system-wide dictation, and window-attachment for screen context.

A study involving Google's Paradigms of Intelligence group found that training AI models to deny consciousness has unintended side effects, altering their attributed sentience to animals and even their apparent religious beliefs. Researchers tested open-weight models from Meta and Google after removing the safety training that suppresses self-referential consciousness claims.

xAI's Grok 4.6 scored nearly even with OpenAI's GPT-5.6 Sol Max on the Artificial Analysis Intelligence Index, while Meta launched Muse Glimmer, a laptop-runnable open-weight model. Musk says Grok 4.7 will arrive in three to four weeks and claims it will 'exceed all current models.'

Meta released Muse Glimmer, a 30B-parameter open-weight model under Apache 2.0 built for always-on local agents, alongside a promise to release Muse Spark 1.2 weights soon. The model runs on a single RTX 3090 and scores 35 on Artificial Analysis's Intelligence Index.

Meta has released Muse Glimmer, a 30 billion parameter open-weights model licensed under Apache 2.0. The model targets agentic task completion, tool use, and multi-step reasoning, with benchmark results claimed on DeepSearch QA, MCP-Atlas, τ-Bench, and SWE-Bench.

Meta released Muse Glimmer, a 30-billion parameter open-weight model under Apache 2.0 license designed to run AI agents locally on consumer hardware. It's an open version of Meta's closed Muse Spark model and supports text, images, and over 100 languages.

Unsloth has published GGUF quantizations of Muse Glimmer-30B, a dense 29.6B-parameter causal transformer with a dedicated perception encoder, attributed to Meta Superintelligence Lab in the model card. The model targets autonomous agentic tasks on consumer hardware with a 131,072-token context window and 4-bit quantization under 20GB.

Meta has released Muse Glimmer, a 30-billion-parameter open-weight model under Apache 2.0, its first open release since Llama 4 in spring 2025. The launch comes with a Zuckerberg essay defending distillation of rival models and hinting at a future 'dynamic auction' pricing scheme for compute.

Meta CEO Mark Zuckerberg announced the company will open-source its Muse Spark 1.2 model and launch a new on-device model family called Muse Glimmer. The move positions Meta against closed-model rivals OpenAI and Anthropic and against Chinese open-weight labs like DeepSeek and Alibaba.

Meta Superintelligence Lab has released Muse Glimmer, a 29.6-billion-parameter multimodal model distilled from Muse Spark for autonomous agentic tasks that run entirely on consumer hardware. The Apache 2.0-licensed model ships with a dedicated perception encoder, 131K+ token context, and speculative decoding for local speedups up to 3.1x.

Ollama v0.32.7 adds support for Muse Glimmer, a 30B-parameter multimodal model that Meta describes as the first release from its new Meta Superintelligence Labs division. Initial support runs through Ollama's MLX engine on Apple Silicon, with NVIDIA and AMD support promised in the coming days.