[NB/DT/MB] ASUS Zenni Claw User Installation & User Guide
ASUS Zenni Claw is an AI agent platform built to make Agentic AI simple, approachable, and trustworthy. Instead of just answering questions one by one like a chatbot, it helps you effortlessly breeze through complete, multi-step tasks across your work, daily life, travel, and creative projects.
A standard chatbot simply responds to a prompt. ASUS Zenni Claw is built to deliver a finished outcome. It actually understands your ultimate goal, maps out the necessary steps, triggers specific skills, and handles complex, multi-step workflows for you from start to finish.
3. Set Up AI Providers
4. Set Up Channels
5. Start to Chat
6. Pre-Built ASUS Tasks & Skills
7. Settings
Before installing ASUS Zenni Claw, the installer automatically checks whether your device can run the AI environment (WSL2, Ubuntu, a local LLM, and Docker). No terminal or manual configuration is required.
Minimum requirements:
- OS: Windows 11
- RAM: 16 GB or more
- Storage: 20 GB or more (40 GB+ recommended when using local AI)
Local AI requirements(optional):
- Option 1 — Discrete GPU: NVIDIA GeForce RTX 5090 with 24 GB+ vRAM, 16 GB+ RAM, and 40 GB+ storage.
- Option 2 — Integrated AI processor: Intel Core Ultra X9 388H or AMD Ryzen AI Max+ 300 series, such as Zenbook DUO (UX8407) and ProArt PX13 (HN7306), with 32 GB+ RAM and 40 GB+ storage.
2.1 Auto-configure Al environment
(1) Please go to ASUS Zenni Claw, Agentic AI Made Simple and click [Download] to download ASUS Zenni Claw.
◉ Notice: Currently not available in Mainland China.
(2) Launch the ASUS Zenni Claw installer. On the Welcome screen, the app runs a ①[System Check] and reports your Operating System, RAM, and Storage.
(3) When every item passes, you will see ②[Your system meets the installation requirements]. Click ③[Continue] to proceed.
(4) If an item fails (for example, not enough storage), the installer shows ④[Your device is incompatible. Cannot proceed with installation]. Free up resources and run the check again.
(1) Next, the installer ⑤[checks the Local AI Provider hardware] — GPU, vRAM, RAM, and Storage — to confirm your device can run a local model.
(2) When all requirements are met, you can tick ⑥[Would you like to install a local LLM?] to install the local AI. Click ⑦[Continue] to proceed.
(3) If an item fails, the installer shows ⑧[Incompatible device. Local Al unavailable. Other settings remain accessible].You can still use the app with cloud models.
(1) The installer ⑨[runs each steps automatically]: enabling WSL2, installing Ubuntu 22.04 LTS, the local AI provider, Guardrail (password / injection protection), LiteLLM, and Skills. A progress bar shows the overall status.
(2) Some steps require a system restart. When prompted, save your work and click ⑩[Restart Now (or Restart Later)]. Installation resumes automatically after the reboot.
(3) When every component passes, the screen shows “ASUS Zenni Claw is Ready,” with your Local LLM and Guardrail status. Click ⑪[Start] to open the app.
(1) When opening the app, the app will require the user to agree to the Privacy Policy & AI Terms & Conditions.
(2) The app also requires the user to set up an AI Provider and channel; the user can skip this for now and set them up later.
ASUS Zenni Claw works with both cloud AI providers and on-device (local) models. You manage them on the Models page, where you can also monitor token usage and configure Auto-Routing between cloud and local engines.
(1) Open ①[Models] from the left navigation. The page lists your connected AI Providers, the Auto-Routing rule, and Token Usage. Click ②[+ Add Provider] to add a new one.
(2) To add a cloud provider, select the ③[Cloud LLM tab]. Choose a provider (Anthropic, OpenAI, or Gemini), pick a ④[model], then enter your ⑤[API key].
◉For the method to obtain an API Key, please refer to the related FAQ: How to get API Keys
(3) Click ⑥[Verify]. When the key is valid you will see a confirmation such as ⑦[Verified — claude-sonnet-4-6 is available]. Click ⑧[Continue] to save.
(4) To use a local model, open the Local LLM tab. Once installed, when all requirements are met, you can tick ⑨[Would you like to install a local LLM?] to install the local AI. Click ⑩[Continue] to proceed.
(5) Use Auto-Routing to set a default Cloud LLM and a Local LLM so each task runs on the most suitable engine. Click ⑪[Edit], choose your ⑫[models], then click ⑬[OK].
Channels let you talk to ASUS Zenni Claw through third-party messaging apps — Telegram and WhatsApp. You add and manage them on the Channels page.
(1) Open ①[Channels] from the left navigation. Configured channels show their status (Connected / Disconnected). Under Supported Channels, click ②[Connect] for the service you want to add. Once the connection is successful, you may begin conversations directly on Telegram and WhatsApp.
(2) Telegram: create a bot with @BotFather, copy the ③[Bot Token], get your ③[Chat ID] from @userinfobot, then paste both into the app. Use ④[+] to register more than one user ID.
◉For the method to use it, please refer to the related FAQ: How to Set Up Channels
(3) WhatsApp: Click the ⑤[Generate QR Code]. Open WhatsApp on your phone, go to Settings > Linked Devices > Link a Device, and scan the ⑥[QR code] shown in the app. A “Success!” message confirms the link.
◉For the method to use it, please refer to the related FAQ: How to Set Up Channels
(4) To control who can use a bot, click ⑦[Edit] on the channel and manage the user list — add or remove ⑧[Chat IDs] as needed, then ⑨[Save].
The Chat page is where you interact with the agent. Choose a session and model, type a request, attach files, or start from a ready-made prompt.
(1) Open ①[Chat]. Choose your ②[Session & Model] at the top, then type a request in the message box, or pick a suggested prompt under ③[Work / Life / Travel Assistant]. Click ④[Generate (or press Enter)].
(2) The agent replies in the conversation view. Tool calls ⑤[appear inline]; expand an entry to see what the agent did.
(3) Click a tool entry to view its ⑥[detailed input and output], including status and any returned data.
(4) Add context by ⑦[dragging files] into the conversation, or use the attach button. The app shows the files queued for your next message.
(5) Press the search ⑧[/command icon] to open the command menu, where you can run quick commands such as /status, /restart, or /clear.
6. Pre-Built ASUS Tasks & Skills
ASUS Zenni Claw ships with ready-made prompts grouped into Work, Life, and Travel assistants, plus a library of Skills the agent can call to get things done.
(1) Open the ①[Prompt Library] to browse ready-made tasks — for example Slide Generator, Industry News Digest, Meeting Actions, Morning Briefing, Outdoor Gear Advisor, Flight Monitor, and Trip Itinerary Planner. Select one to start.
(2) Go to ②[Skills] to browse and manage the agent’s capabilities. Use the ③[search box] to find a specific one; use the ④[toggle button] on each Skill to enable or disable it.
(3) Skills are organized into ⑤[Workspace Skills] and ⑥[Built-In Skills]. Each Skill shows a ⑦[short description and the channels or tasks] it supports.
(1) Open ①[Settings] and click on ②[General]. Activate the ③[toggle button] to enable it, and the Zenni Claw will automatically start upon boot to provide continuous background service.
(2) Click ④[Launch] to open the ASUS Zenni Claw Update Center and ⑤[review available updates]. Critical Updates are delivered as a release bundle; click ⑥[Update now] to apply them. Then, click ⑦[Check update].
(1) Click the ①[User Guide] and view the ②[contents of FAQs].
(2) Click the ③[About] and check ④[SW Version]. It tells you whether the app is up to date and when it was last checked.
Q1: What are ASUS Skills?
A1: ASUS Skills are ready-to-go workflows built right into the platform. You get immediate value from day one without having to research, install, or configure complex agents yourself. Think of them as instant shortcuts for your productivity, lifestyle, travel planning, and creative projects.
Q2: Is ASUS Zenni Claw safe to use with my personal or work data?
A2: Absolutely. Privacy and security are baked right into its core architecture. It uses WSL2 and Docker-style isolation to keep your data in a secure, controlled environment, while smart guardrails constantly check inputs and outputs. You can explore and use AI agents with total confidence.
Q3: Is it free, or will there be a subscription plan?
A3:ASUS Zenni Claw itself is planned to be free to use. However, if you choose to use advanced cloud models, any associated API costs or token usage will depend on your own API setup, depending on the specific AI model you select.
Q4: What should I do if I want to provide feedback on an issue?
A4: Currently, feedback can only be submitted through customer service. In the future, there are plans to implement an in-app reporting center.
Q5: Will Zenni Claw connect with other ASUS software, like MuseTree or StoryCube?
A5: We are currently developing future skills that connect directly with ASUS ecosystem software like MuseTree and StoryCube. Stay tuned, we'll share more details as these integrations are ready.