1186258278/openclawchinesetranslation

🦞 OpenClaw (Clawdbot/Moltbot) 汉化版 - 开源个人 AI 助手中文版 | Claude/ChatGPT LLM 接入 | WhatsApp/Telegram/Discord 多平台 | 每小时自动同步 | CLI + Dashboard 全中文 | 全流程搭建教程,以及排错指南!

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Summary Information

Updated 3 minutes ago
Added to GitGenius on September 18th, 2026
Created on January 30th, 2026
Open Issues & Pull Requests: 55 (+0)
GitHub issues: Enabled
Number of forks: 491
Total Stargazers: 3,802 (+0)
Total Subscribers: 18 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 7.1 hours
Mean response time: 47.6 hours
90th percentile: 5.1 days
Tracked items: 67

Most active contributors

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How this project is maintained

About 16% of issues opened in the past year have never received a reply. 100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. 98% of tracked open issues have had no activity in three months, so the open count overstates what is actively being worked. Only 35% of issues opened in the past year have been closed. Three people close 66% of everything that gets resolved.

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Issue Activity (beta)

Open issues: 52
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 191 days
Stale 30+ days: 51
Stale 90+ days: 51

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

OpenClaw is a Chinese-language AI assistant that integrates large language models like Claude and ChatGPT across multiple messaging platforms. The project provides a localized version of the Clawdbot and Moltbot frameworks, enabling developers to deploy personal AI agents with support for WhatsApp, Telegram, and Discord. The tool includes both command-line and dashboard interfaces entirely in Chinese, along with comprehensive setup tutorials and troubleshooting guides.

The project solves the problem of deploying multilingual AI assistants by offering a fully translated and adapted version of an existing framework. It connects to Claude and ChatGPT APIs, allowing users to interact with these language models through their preferred messaging platforms. The implementation includes tool-calling capabilities, enabling the AI to perform actions beyond simple text generation. The codebase is written in JavaScript and Node.js, making it accessible to web developers.

Developers considering adoption should note that this is a localization project targeting Chinese-speaking users who want to self-host an AI assistant. It suits individuals and small teams seeking a ready-made solution with Chinese documentation and interface rather than those needing to build from scratch. The project includes hourly automatic synchronization, suggesting it tracks upstream changes from the original framework. This approach is most appropriate for users comfortable with self-hosting and who prioritize Chinese-language support and documentation.

The project shows active maintenance with regular synchronization of upstream changes, indicating ongoing alignment with the original framework's development. The inclusion of comprehensive setup tutorials and troubleshooting guides suggests attention to user experience and support for deployment challenges. The availability of both CLI and dashboard interfaces demonstrates effort to serve different user preferences and technical skill levels.