AutoClaw (AutoGLM)
Zhipu AI's one-click desktop installer launched March 2026. Transforms computers into 24/7 AI agents in under a minute. 50+ pre-built skills, powered by GLM-5.1 (open-sourced April 8, 2026) and Pony-Alpha-2 models.
Zhipu AI's Local-First 24/7 Autonomous Agent
AutoClaw (Chinese name: 澳龙, "Aussie Lobster"; also known as AutoGLM) is Zhipu AI's one-click desktop installer that transforms standard personal computers into 24/7 autonomous AI agents. Launched in March 2026, it marks a shift from cloud-based agents to local-first solutions that execute complex, multi-step workflows directly on macOS and Windows machines. Official Launch: March 2026 Official Website: https://autoglm.zhipuai.cn/autoclaw English Name: Aussie Lobster Developer: Zhipu AI (智谱AI) Key Innovation: AutoClaw is the first true one-click installable local version of OpenClaw in China, supporting both Mac and Windows systems. It comes preloaded with over 50 mainstream skills, ready to use out of the box. Powered By:
- GLM-5.1: Zhipu AI's latest general-purpose frontier model, open-sourced April 8, 2026
- GLM-5-Turbo: Specialized model launched March 16, 2026, built specifically for OpenClaw agent workflows
- Pony-Alpha-2: Purpose-built AI model for OpenClaw agent scenarios, based on GLM-5 architecture
Core Philosophy: "Not only capable of speech, but more importantly, of action" - pioneering Agent + cloud mobile / cloud computer paradigm Pricing Update (April 2026): API prices raised ~10% across the board. CodingPlan overseas Max plan increased from $80/month to $160/month. Sources:
Why AutoClaw?
Feishu Native: Deep integration with Feishu's messaging, documents, calendar, and workflows.
50+ Pre-built Skills: Ready-to-use automation for common business tasks without any coding.
One-Minute Setup: Automatic configuration gets you running in about 2.5 minutes.
GLM Model: Powered by Zhipu's GLM large language model, optimized for Chinese language understanding.
Who Should Choose AutoClaw?
| Your Profile | Recommendation |
|---|---|
| Feishu-First Professional | ✅ Best choice. Native Feishu integration with document/calendar/workflow |
| Chinese-Speaking User | ✅ Chinese-only interface, GLM-5.1 optimized for Chinese |
| Quick-Start Seeker | ✅ Fastest setup: under 1 minute to a working agent |
| International User | ❌ No English localization, Feishu-centric platform focus |
| Multi-Platform User | ❌ Limited to Feishu. Consider QClaw or OpenClaw for broader support |
| Budget-Conscious Developer | ⚠️ Entry at 29 yuan/month, but API prices rising. OpenClaw is free |
If you work primarily in Feishu and want the fastest path to a working AI agent, AutoClaw delivers. For broader platform support, consider QClaw or OpenClaw.
Key Features
$#1.
Feishu Integration
- Automated message responses
- Document creation and editing
- Calendar management
- Workflow automation
$#2.
Pre-built Skills
Common business automations including:
- Customer service responses
- Meeting summaries
- Report generation
- Task management
- Data analysis
$#3.
Easy Configuration
Click "Start Auto Configuration" and the system sets itself up automatically.
Installation
- Visit: https://autoglm.zhipuai.cn/autoclaw
- Download the installer (Windows/macOS)
- Run the installer
- Click "Start Auto Configuration"
- Connect your Feishu account (optional)
- Ready to use in ~2.5 minutes
Pricing
| Plan | Price | Credits |
|---|---|---|
| Basic | 29 yuan/month | 2300 credits/month |
| Pro | 99 yuan/month | 8000 credits/month |
| Enterprise | 249 yuan/month | 20000 credits/month |
| Trial | Free | 2300 one-time credits |
System Requirements
| Component | Minimum | Recommended |
|---|---|---|
| OS | Windows 10, macOS 12+ | Windows 11, macOS 13+ |
| Memory | 1GB RAM | 4GB RAM |
| Storage | 1GB | 2GB |
| Network | Stable internet | Stable internet |
Use Cases
Enterprise Automation
Automate routine business processes in Feishu workflows.
Document Processing
Automatically generate, summarize, and analyze documents.
Team Collaboration
Enhance team communication with intelligent assistance.
Community and Support
- Website: https://autoglm.zhipuai.cn/autoclaw
- Documentation: Available on the website
License
Proprietary commercial software.
Quick Start Guide
Get AutoClaw (AutoGLM) running in about 5 minutes.
Step 1: Download
Download the installer from https://autoglm.zhipuai.cn/autoclaw.
Step 2: Install
Run the installer and follow the on-screen instructions. No technical knowledge required.
Step 3: Configure
Launch the application, sign in or create an account, and configure your preferred AI model.
Step 4: Start Automating
Use the graphical interface to set up tasks, connect platforms, and let the agent work for you.
Time to first result: ~5 minutes — One-click installation, no terminal needed.
Full documentation: https://hyscaler.com/insights/autoclaw-local-ai-agent-guide/
FAQ
Is AutoClaw (AutoGLM) free to use?
AutoClaw (AutoGLM) offers a free tier or trial period. Check the official website for current pricing and plan details.
What are the system requirements for AutoClaw (AutoGLM)?
AutoClaw (AutoGLM) requires 1GB RAM of RAM minimum. Runtime: Native executable. It runs on Windows, macOS, and Linux.
Can I self-host AutoClaw (AutoGLM)?
AutoClaw (AutoGLM) is a proprietary product and cannot be self-hosted. It runs locally on your machine but the source code is not publicly available.
What platforms does AutoClaw (AutoGLM) support?
AutoClaw (AutoGLM) supports: Feishu. Check the official documentation for the most up-to-date list of supported platforms.
How does AutoClaw (AutoGLM) compare to OpenClaw?
AutoClaw (AutoGLM) offers a different approach compared to OpenClaw. While OpenClaw provides the largest ecosystem with 13,729+ skills and maximum flexibility, AutoClaw (AutoGLM) focuses on chinese tech giants. Choose AutoClaw (AutoGLM) if you prioritize its specific features; choose OpenClaw for the broadest compatibility and community support.
Is AutoClaw (AutoGLM) suitable for beginners?
Yes, AutoClaw (AutoGLM) features a one-click installation that makes it accessible to non-technical users. No Docker, command line, or configuration files required.
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