Meta Muse is a personal AI agent that Meta says can work across the web and connected apps to handle multi-step tasks. You can message it in the Muse app or WhatsApp, choose which services it can access, and review or approve certain actions. Muse is the agent experience; Muse Spark is the model Meta says powers it.
What is Meta Muse?
Muse is designed to do more than answer a prompt: it can identify the steps a task requires, browse the web, retrieve information from connected services, and take actions within the access you grant. Meta says it runs in a dedicated cloud virtual machine with its own browser and can keep working on longer tasks after you close the app. It may come back when something changes or it needs your decision. Meta’s launch announcement and its Muse product page describe these capabilities; they are company descriptions, not independent performance findings.
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The product and model are different things: Muse is the agent you interact with, while Muse Spark is the underlying model Meta identifies as powering it.
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1Fix the driver behind crashes, sound loss and screen glitches2Clear out junk files and repair common Windows errors3Scan for outdated or missing drivers - takes under a minuteHow does Meta Muse work?
- Describe a task or goal. Start in the Muse app or WhatsApp. The request can be a one-off task or a longer-term goal.
- Muse plans and gathers information. Meta says it identifies needed skills, browses the web, and retrieves information from services you have connected.
- It acts through its cloud environment and connectors. Meta AI Research describes the launch-era virtual machine as an isolated Linux environment with a browser, storage, and computing resources. It also says Muse supports custom skills and concurrent subagents, and can create custom connectors for services with APIs or command-line interfaces.
- You control connected-service access. You choose which services to connect. Where a service supports it, access can be limited to reading or can include writing, such as sending an email. You can change permissions or disconnect a service.
- Sentinel evaluates actions. Meta describes Sentinel as the system that evaluates connector actions and network requests. Depending on the action and your permissions, it can allow the action, deny it, or ask you to approve it.
- Muse may continue longer work in the background. Meta says it can return when circumstances change or it needs a decision; that does not mean every task finishes without your review.
Meta provides more detail on the agent’s infrastructure and controls in its technical safety description.
#1 Best Overall
- AI-Powered Raspberry Pi Robot Dog — PiDog: Powered by Raspberry Pi (5/4B/3B+/3B/Zero 2W), OpenClaw, and multi-LLMs like ChatGPT, Gemini, Grok, DeepSeek, Qwen & Ollama. With 12 servos, camera, gyroscope, hearing & touch sensors, PiDog can see, listen, talk, move, and interact intelligently. Supports OpenCV, MediaPipe, TTS & STT, app control, FPV & Python. A great STEM robotics gift for students, makers & tech enthusiasts—perfect for birthdays and holidays. (Raspberry Pi not included)
- Realistic Dog-like Movements: PiDog's 12 powerful servos enable 32 dog-like actions, including walking, sitting, standing, shaking its head, wagging its tail, and performing playful tricks, closely mimicking a real dog and providing an engaging experience. This is an AI development robot product designed for engineers, suitable for ages 15 and above
- Rich Sensor Suite for Interactive Experiences: PiDog features ultrasonic, touch, gyroscope, sound, camera, speaker and microphone. These provide it with advanced hearing, vision, and touch, enabling it to see, detect obstacles, respond to touch, and recognize sounds, making interactions highly engaging
- AI-Powered Interactions with OpenClaw & Multi-LLMs. PiDog combines voice, vision, and gesture recognition for immersive AI experiences. Powered by OpenClaw and multi-LLMs like ChatGPT, Gemini, Grok, DeepSeek, Qwen, Doubao, and Ollama (local LLMs), it can understand questions, respond naturally through TTS & STT, recognize math problems, interpret hand gestures, and hold smart conversations. OpenClaw also enables customizable AI behaviors and personalized robotics development, helping users create their own intelligent robotic companion
- Comprehensive Learning Resources and Support: PiDog offers detailed online documentation, video tutorials, prompt technical support, and an active forum community, ensuring beginners can easily complete all projects and enjoy a great experience
What can Meta Muse do?
Meta lists question answering, web browsing, purchases, image generation, document creation, connected-app actions, reminders, goal tracking, and monitoring topics of interest. Its examples include sending email, booking travel, filling out forms, and negotiating on a user’s behalf. These are examples of intended capabilities, not evidence that every request will succeed.
- Handle browser-based tasks: You could ask it to book travel or fill out a form using its browser.
- Work with connected apps: If you grant the relevant access, it can retrieve information or take actions. For example, an email connector might be allowed to read messages without permission to send them.
- Support ongoing goals: Meta says Muse can make a plan, track progress, and suggest next steps.
- Use remembered context: Meta’s example is turning a saved Instagram recipe reel into a grocery list and planning a dinner party around remembered dietary restrictions.
- Create content: Meta says Muse can generate images and create documents. The cited sources do not establish independent comparative results for the quality of those outputs.
What permissions, privacy controls, and safety limits does it have?
Meta says each user’s Muse runs in a dedicated virtual machine and that credentials are stored separately from the main agent. Sentinel evaluates connector actions and network egress; approval requests can be scoped to a connector, destination, and use case. Meta says consequential actions such as sending an email or making a purchase require user approval, and that users can inspect an audit trail of what Muse has done and plans to do.
Rank #2
- Optimized AI Arm Kit for LeRobot & Hugging Face Projects – The SO-ARM101 is an upgraded low-cost robotic arm servo motor kit designed for AI robotics enthusiasts and developers. Fully compatible with LeRobot and Hugging Face frameworks, it supports imitation learning and reinforcement learning, making it ideal for real-world robotics applications. (3D-printed parts not included.)
- Enhanced Wiring & Performance – Compared to the SO-ARM100, the SO-ARM101 features improved wiring to prevent disconnection at joint 3 and eliminates range-of-motion limitations. The leader arm uses optimized gear ratio motors for smoother performance—no external gearboxes required.
- Real-Time Leader-Follower Functionality – New real-time tracking allows the leader arm to follow the follower arm, enabling human intervention and correction during reinforcement learning (RL) training. Perfect for hands-on AI robotics development and research.
- Open-Source, DIY-Friendly & Nvidia-Compatible – Developed by TheRobotStudio, this open-source AI Arm kit integrates seamlessly with the LeRobot platform, offering PyTorch-based datasets, simulation, training, and deployment tools. Fully compatible with Nvidia Jetson edge devices, including reComputer Mini J4012 Orin NX 16 GB.
- Comprehensive Learning Resources – Includes detailed open-source assembly and calibration guides, testing tutorials, and deployment instructions. From wiring to AI training, get everything you need to start building, teaching, and optimizing your robotic arm for grasping and placing tasks.
You can choose connected apps, set the extent of access, disconnect services, and ask Muse to forget specific learned information. Meta says Muse conversations and virtual-machine data are not shared with its advertising systems, and that users can opt out of interactions being used to train Meta AI models.
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Those controls do not mean the launch-era system is error-proof or that Meta cannot access any data. Meta’s technical post says Muse data is stored in its virtual machine and that limited data may be sent out for inference and telemetry. It also describes some use of sanitized interaction trajectories for training, subject to an opt-out setting. Meta says a planned Muse Confidential VM is intended to prevent Meta from accessing virtual-machine data; the cited announcement does not describe that capability as launched.
Rank #3
- Raspberry Pi AI Robot: powered by Raspberry Pi (5/4B/3B+/3B/Zero 2W), features 12 servos and sensors for vision, hearing, and touch. Integrated with ChatGPT-4o, it responds to complex queries. With app control and FPV, users can manage and see its view in real-time. It supports Python programming
- Realistic Movements: 12 powerful servos enable 32 actions, including walking, sitting, standing, shaking its head, wagging its tail, and performing playful tricks, closely mimicking a real and providing an engaging experience
- Rich Sensor Suite for Interactive Experiences: features ultrasonic, touch, gyroscope, sound, camera, speaker and microphone. These provide it with advanced hearing, vision, and touch, enabling it to see, detect obstacles, respond to touch, and recognize sounds, making interactions highly engaging
- Engaging Interactions with ChatGPT-4o: with ChatGPT-4o enables voice interactions and visual recognition, making it smarter and more responsive. Users can have natural conversations, solve math problems via the camera, and interpret gestures, creating diverse and fun interactions
- Comprehensive Learning Resources and Support: offers detailed online documentation, video tutorials, prompt technical support, and an active forum community, ensuring beginners can easily complete all projects and enjoy a great experience
Meta explicitly acknowledges that Muse can make mistakes and that prompt injection remains an open problem. Tarek Sheasha, Software Engineer and VP at Meta Superintelligence Labs, said: “Muse can and will still make mistakes, but we expect they’ll be much less frequent and cause much less damage due to the safety systems we’ve built in.” That is Meta’s expectation about risk reduction, not an independently measured finding. Treat actions involving money, messages, forms, or sensitive information as tasks to review carefully.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Where is Meta Muse available, and does it cost money?
In its September 2026 launch announcement, Meta said Muse was rolling out in the United States on iOS, Android, and the web. Meta described it as free for most needs, with subscription plans for people who want to do more, but the cited materials give no exact prices or usage limits. Availability, limits, and plan details can change.
Rank #4
- 【End-to-End Imitation Learning】Hiwonder SO-ARM101 robot arm is an embodied intelligent hardware platform compatible with the Lerobot open-source framework. It provides developers with streamlined access to shared code, templates, and pre-trained models to explore the latest advancements in AI research.
- 【Dual-Camera Vision System】Equipped with both a gripper-mounted camera and an external camera, the system supports both precise manipulation and environmental awareness for accurate imitation learning.
- 【Hiwonder High-Performance Bus Servos】Featuring 12 high-torque bus servo motors with magnetic feedback, the Hiwonder SO-Arm101 robotic arm delivers smooth, stable motion, eliminating issues like power deficiency and jitter.
- 【Professional Control & Debugging】Integrated with the Hiwonder BusLinker V3.0 debugging board, the system supports servo scanning, real-time status monitoring, and trajectory control. The professional PC software simplifies device calibration and debugging, making it accessible for both researchers and hobbyists.
- 【Open-Source Compatibility】The SO-ARM101 robotic arm is designed to be fully compatible with the LeRobot open-source project. We acknowledge the contributions of the open-source community; all trademarks and copyrights belong to their respective owners.
The launch announcement named Stripe Link as a checkout option and described single-use card numbers and Link purchase protections for eligible purchases. It said Shop Pay and 1Password support were coming. Those are launch-time statements, not confirmation of their current integration status.
Meta also described AI glasses as a future availability direction; the cited announcement does not establish that Muse was available on glasses at launch.
What should you expect from Meta Muse?
Muse is best understood as an assistant that Meta says can take actions across connected services, not just generate answers. What it can do in practice depends on the services you connect, the permissions you grant, and whether an action requires your approval. Meta describes several safety controls, while also acknowledging mistakes and prompt-injection risk. The cited sources do not provide independent success rates or comparative benchmark results, so they cannot establish how reliably Muse completes tasks relative to other assistants.
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