OpenClawChineseTranslation and openclaw-docs

A Chinese localization and dashboard implementation of OpenClaw complements B's documentation site, as users need both the translated application and the instructional guides to successfully deploy and configure the multi-platform bot framework.

openclaw-docs
51
Established
Maintenance 25/25
Adoption 10/25
Maturity 11/25
Community 21/25
Maintenance 20/25
Adoption 10/25
Maturity 1/25
Community 20/25
Stars: 3,138
Forks: 368
Downloads:
Commits (30d): 66
Language: JavaScript
License:
Stars: 553
Forks: 77
Downloads:
Commits (30d): 7
Language: JavaScript
License:
No Package No Dependents
No License No Package No Dependents

About OpenClawChineseTranslation

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!

Supports pluggable agent architecture with tool-calling capabilities across multiple LLM providers (Claude, ChatGPT, etc.) via standardized interfaces, enabling autonomous task execution like email/calendar management. Built on Node.js with a gateway-dashboard architecture using WebSocket-based real-time communication, synchronized hourly with upstream OpenClaw updates for rapid bugfix delivery. Extends core functionality through ecosystem tools like ClawPanel (AI-powered visual management with screenshot understanding) and ClawApp (mobile PWA/APK chat client with streaming responses).

About openclaw-docs

yeuxuan/openclaw-docs

OpenClaw 中文文档站 | AI 智能体框架 源码剖析 安装教程 | WhatsApp Telegram Discord 飞书 多通道机器人

Provides 276 deep-dive tutorials covering OpenClaw's Gateway control plane architecture, channel adapter implementation patterns (inbound routing/outbound send decoupling), and AI core systems (context engineering, agent state machines, tool approval workflows, memory/hook injection). Built with VitePress and organized across four learning tracks: installation/deployment, complete engineering source code analysis, AI framework internals, and adapter protocols. Targets developers integrating multi-channel LLM agents across WhatsApp, Telegram, Discord, Feishu with backends like Claude, GPT, DeepSeek, or local Ollama instances.

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