OpenClaw Chinese Edition
A fully Chinese-localized release of the open-source personal AI assistant OpenClaw, supporting WhatsApp, Telegram, Discord, and more, with hourly upstream sync.
The evidence shows the repository is a Chinese localization wrapper of upstream OpenClaw, but no details on permission management, user confirmation, data flow transparency, sensitive data handling, dependency security, external effects, rollback, or source attribution are provided. All trust criteria are unsupported, hence scored 0.
Self-consistency: README and package.json are consistent, but detailed documentation is lacking. Dependency availability: relies on upstream and npm, but no lockfile is provided. Failure messages: FAQ provides some troubleshooting, but error handling details are missing.
Audience and scenarios: clearly targets Chinese users, supports multiple platforms. Capability boundaries: not clearly defined. Trigger precision: commands and configuration instructions exist but lack precision. Environment fit: provides installation instructions for Windows/macOS/Linux and Docker.
Information architecture: clear table of contents and documentation links. Install notes: multiple installation methods provided. Naming stability: version numbers include dates, but naming scheme not explained. Examples and FAQ: common issues addressed. Known limitations: not explicitly listed. License: MIT, but metadata says NOASSERTION. Versioning and changelog: version numbers exist, but no changelog. Maintenance responsibility: maintained by a company, but not clearly stated.
Output usability: localized UI and CLI provide usable output. Marginal value: localization adds value for Chinese users, but no unique features. Cost-benefit: free and open source, but no performance or resource usage information.
Claim traceability: claims in README are not backed by evidence. Cross-source corroboration: none provided. Fact-inference separation: not clearly distinguished.
- The repository provides no security audit or permission management details; users must assess risks themselves.
- It depends on upstream projects but provides no lockfiles, so supply chain security cannot be verified.
- License metadata is NOASSERTION, inconsistent with the MIT claim in the README.
What does this agent do, and when should you use it?
OpenClaw Chinese Edition is a localization of OpenClaw, a GitHub project with over 195,000 stars, maintained by Wuhan Qingchen Tianxia Network Technology Co., Ltd. It deeply localizes both the CLI and web Dashboard into Chinese and distributes via npm (@qingchencloud/openclaw-zh) and Docker images for Windows, macOS, and Linux. The project syncs with the upstream OpenClaw repository hourly to keep features consistent. Users install via npm or Docker, then use an onboarding wizard (openclaw onboard) to configure AI models (supporting OpenAI Compatible and Claude), API keys, and chat channels. Ecosystem tools include ClawPanel, a visual management panel, and ClawApp, a mobile chat client. Comprehensive documentation covers installation, Docker deployment, troubleshooting, and contribution.
This project provides a Chinese-localized version of the OpenClaw personal AI assistant, interacted with via a CLI (openclaw) and web Dashboard. It integrates with WhatsApp, Telegram, Discord, and other chat platforms, allowing users to chat with the AI assistant. The CLI includes commands for onboarding (openclaw onboard), starting the gateway (openclaw gateway), opening the Dashboard (openclaw dashboard), and managing config and skills. Docker deployment supports one-click scripts and manual docker run with port 18789. Ecosystem tools include ClawPanel (visual management) and ClawApp (mobile chat), plus an npm updater (@qingchencloud/openclaw-updater).
- Chinese-speaking users who want a fully localized personal AI assistant on WhatsApp, Telegram, or Discord.
- Developers managing an AI assistant via CLI and Dashboard on their own machine, needing Chinese documentation and troubleshooting.
- Teams or organizations deploying an open-source AI assistant using Docker for easy integration with internal chat tools.
- Users who want to chat with the AI assistant from a mobile browser using ClawApp.
- Contributors interested in helping with the open-source localization project by improving translations or fixing issues.
What are this agent's strengths and limitations?
- Deep localization: CLI and Dashboard fully in Chinese, lowering the barrier for Chinese users.
- Hourly auto-sync with upstream OpenClaw ensures feature parity (delay < 1 hour).
- Docker images available on Docker Hub and GHCR, with domestic mirror support for faster pulls in China.
- Extensive documentation: installation guide, Docker guide, and FAQ covering 25+ issues.
- Ecosystem tools ClawPanel and ClawApp extend visual management and mobile access.
- Dependent on upstream OpenClaw; upstream changes may cause localization lag or require re-sync.
- May conflict with an existing English openclaw installation, requiring manual uninstall first.
- Docker deployment requires handling device authentication, else pairing/token errors occur.
- Requires Node.js >= 22.19.0, which may not support older systems.
- Users must provide their own AI model API keys (OpenAI, Claude), incurring potential costs.
How do you install or deploy this agent?
Requires Node.js >= 22.19.0. Install globally via npm: npm install -g @qingchencloud/openclaw-zh@latest. Alternatively, use Docker: docker pull 1186258278/openclaw-zh:latest, then run docker run commands.
How do you use this agent?
- Run openclaw onboard to configure AI model and API keys. 2. Start the gateway: openclaw gateway. 3. Open Dashboard: openclaw dashboard. In the Dashboard, switch language to Simplified Chinese. Common commands include openclaw config, openclaw skills, openclaw gateway restart, etc.
How does this agent compare with similar options?
The main comparison is the upstream OpenClaw project (English interface). This localized version retains all features but adds Chinese UI and Chinese documentation, making it more accessible for Chinese-speaking users.