Zhipu AI's AutoClaw app delegates complex tasks to AI agents via natural language
AutoClaw integrates with GLM models for offline and remote PC control on iOS.
Zhipu AI has introduced AutoClaw, a mobile app for iOS that redefines how users interact with AI agents. Built on the company's GLM series models, AutoClaw allows users to delegate complex tasks — such as scheduling meetings, conducting research, and summarizing content — simply by speaking or typing in natural language. The app integrates seamlessly with Zhipu AI's backend, supporting real-time account synchronization across multiple devices, so tasks started on one device can be picked up on another. A standout feature is its ability to function offline for core commands and remotely control a PC, making it a versatile tool for professionals who need to manage workflows on the go.
By offering both offline and remote PC control, AutoClaw positions itself as a practical entry point for AI agent adoption in mobile environments. Users can issue commands like "summarize today's emails" or "schedule a meeting for next Tuesday" without needing to be physically near their computer. The app's integration with Zhipu AI's existing ecosystem means it leverages advanced reasoning capabilities while keeping the interface simple. As AI agents become more prevalent, AutoClaw could set a precedent for how mobile-first interfaces handle complex, multi-step tasks, especially for knowledge workers who rely on quick access to AI tools from their smartphones.
- AutoClaw uses Zhipu AI's GLM models to process natural language commands for scheduling, research, and summarization.
- The app supports real-time account synchronization across iOS devices and can work offline for key tasks.
- Includes remote PC control mode, allowing users to manage computer-based workflows directly from their phone.
Why It Matters
AutoClaw makes AI agents accessible on mobile, enabling professionals to automate complex tasks remotely and offline.