晴天 1873e23371 fix(critical): 5 个用户报告的真 bug 一次性修
## P0 Bug 1: chat.js `t is not defined` (页面渲染崩溃)
- chat.js 用了 30+ 处 t() 但**完全忘记 import i18n**
- 路由进入 /h/chat 立即抛 ReferenceError,整页渲染失败
- 修复:补 `import { t } from '../../../lib/i18n.js'`

## P0 Bug 2: i18n 嵌套对象解析失败 (所有 humanizeError 显示原始 key)
- 用户截图:`common.errorHint.generic` 直接显示而非翻译
- 根因:buildLocales() 不递归嵌套对象,把 common.error / errorHint /
  errorAction 这种嵌套 dict 当作 _() 翻译对象处理 →
  `result[lang].common.errorHint = 'errorHint'` (字符串)
- 影响:t('common.errorHint.network'/auth/timeout/...) 全部返回 key 自身
  → toast 用 humanizeError 的所有页面都看到原始 key
- 修复:buildLocales 加 _isTranslationObject + _materialize 递归

## P0 Bug 3: dev-api.js `Dynamic require of "node:fs" is not supported`
- 用户截图:文件管理器红字 "Dynamic require of node:fs"
- 根因:我之前在 hermes_fs_* / _validateFsPath / _hermesHome 用了
  `const fs = require('node:fs')` —— 但 Vite 插件运行在 ESM 上下文,
  CommonJS dynamic require 不支持
- 修复:删除所有 require('node:fs/path/os') —— 文件顶部已经 ESM
  `import fs from 'fs'` 等,直接复用即可

## P1 Bug 4: profiles/kanban/oauth fetch failed 错误丑陋
- 用户截图:3 个页面都显示红字 "fetch failed"(无任何上下文)
- 修复 1(dev-api.js):hermes_dashboard_api_proxy 把 ECONNREFUSED /
  fetch failed 转成 "Hermes Dashboard 未运行(端口 9119 无服务)。
  请在桌面端 ClawPanel 启动 Hermes Agent" — 含「未运行」关键字会被
  humanizeError 的 gatewayDown 正则匹配
- 修复 2(3 个页面):用 humanizeError 拆出 message + hint + 折叠 raw,
  渲染统一的 .page-inline-error 卡片(icon + 主行 + 副提示 + 技术详情
  details)。错误对象不再 stringify,保留给 humanizeError 完整识别

## P2 Bug 5: 重复的 require('node:path') in hermes_fs_list
- 同 Bug 3,循环里又 require 了一次 path,现已用顶部 import

## 影响面
 /h/chat 不再崩溃,profile switcher 正常显示
 所有用 humanizeError 的 toast 看到正确翻译(不再显示原始 key)
 文件管理器 Web 模式正常列出 ~/.hermes 目录
 Profile / Kanban / OAuth 显示「Hermes Dashboard 未运行」+
   「请前往仪表盘启动 Gateway 后重试」+ 折叠原始错误(点击展开)
 npm build pass
2026-05-14 06:35:20 +08:00
2026-04-16 13:55:26 +08:00
2026-05-08 04:39:36 +08:00
2026-05-13 16:53:47 +08:00
2026-04-25 23:47:22 +08:00
2026-05-13 16:53:47 +08:00
2026-05-13 16:53:47 +08:00

ClawPanel

OpenClaw & Hermes Agent Management Panel with Built-in AI Assistant — Multi-Engine AI Framework Management

🇨🇳 中文 | 🇺🇸 English | 🇹🇼 繁體中文 | 🇯🇵 日本語 | 🇰🇷 한국어 | 🇻🇳 Tiếng Việt | 🇪🇸 Español | 🇧🇷 Português | 🇷🇺 Русский | 🇫🇷 Français | 🇩🇪 Deutsch

Release Downloads License CI


ClawPanel Feature Showcase

ClawPanel is a visual management panel supporting multiple AI Agent frameworks, currently with OpenClaw and Hermes Agent dual-engine support. It features a built-in intelligent AI assistant that helps you install, auto-diagnose configurations, troubleshoot issues, and fix errors. 8 tools + 4 modes + interactive Q&A — easy to manage for beginners and experts alike.

🌐 Website: claw.qt.cool | 📦 Download: GitHub Releases

🎁 QingchenCloud AI API

Internal technical testing platform, open for selected users. Sign in daily to earn credits.

QingchenCloud AI

  • Daily Sign-in Credits — Sign in daily + invite friends to earn test credits
  • OpenAI-Compatible API — Seamless integration with OpenClaw, plug and play
  • Resource Policy — Rate limiting + request caps, may queue during peak hours
  • Model Availability — Models/APIs subject to actual page display, may rotate versions

⚠️ Compliance: This platform is for technical testing only. Illegal use or circumventing security mechanisms is prohibited. Keep your API Key secure. Rules subject to latest platform policies.

🔥 Dev Board / Embedded Device Support

ClawPanel provides a pure Web deployment mode (zero GUI dependency), natively compatible with ARM64 boards:

  • Orange Pi / Raspberry Pi / RK3588npm run serve to run
  • Docker ARM64docker run ghcr.io/qingchencloud/openclaw:latest
  • Armbian / Debian / Ubuntu Server — Auto-detect architecture
  • No Rust / Tauri / GUI needed — only Node.js 18+ required

📖 See Armbian Deployment Guide | Web Dev Mode

Community

A community of passionate AI Agent developers and enthusiasts — join us!

Discord  ·  Discussions  ·  Report Issue

Features

  • 🤖 AI Assistant (New) — Built-in AI assistant, 4 modes + 8 tools + interactive Q&A. See AI Assistant Highlights
  • 🧩 Multi-Engine Architecture — Supports both OpenClaw and Hermes Agent dual engines, freely switchable, independently managed
  • 🤖 Hermes Agent Chat — Built-in Hermes Agent chat interface with tool call visualization, file system access toggle, SSE streaming output
  • 🖼️ Image Recognition — Paste screenshots or drag images, AI auto-analyzes, multimodal conversations
  • Dashboard — System overview, real-time service monitoring, quick actions
  • Service Management — OpenClaw / Hermes Gateway start/stop, version detection & one-click upgrade, config backup & restore
  • Model Configuration — Multi-provider management, model CRUD, batch connectivity tests, latency detection, drag-to-reorder, auto-save + undo
  • Gateway Configuration — Port, access scope (localhost/LAN), auth Token, Tailscale networking
  • Messaging Channels — Unified Telegram, Discord, Feishu, DingTalk, QQ management, multi-Agent binding per platform
  • Communication & Automation — Message settings, broadcast strategies, slash commands, Webhooks, execution approval
  • Usage Analytics — Token usage, API costs, model/provider/tool rankings, daily usage charts
  • Agent Management — Agent CRUD, identity editing, model config, workspace management
  • Chat — Streaming, Markdown rendering, session management, /fast /think /verbose /reasoning commands
  • Cron Jobs — Cron-based scheduled execution, multi-channel delivery
  • Log Viewer — Multi-source real-time logs with keyword search
  • Memory Management — Memory file view/edit, categorized management, ZIP export, Agent switching
  • QingchenCloud AI API — Internal testing platform, OpenAI-compatible, daily sign-in credits
  • Extensions — cftunnel tunnel management, ClawApp status monitoring
  • About — Version info, community links, related projects, one-click upgrade

Download & Install

Go to Releases for the latest version:

macOS

Chip Installer Notes
Apple Silicon (M1/M2/M3/M4) ClawPanel_x.x.x_aarch64.dmg Macs from late 2020+
Intel ClawPanel_x.x.x_x64.dmg Macs 2020 and earlier

⚠️ "Damaged" or "unverified developer"? App is unsigned. Run: sudo xattr -rd com.apple.quarantine /Applications/ClawPanel.app

Windows

Format Installer Notes
EXE ClawPanel_x.x.x_x64-setup.exe Recommended
MSI ClawPanel_x.x.x_x64_en-US.msi Enterprise / silent install

Linux

Format Installer Notes
AppImage ClawPanel_x.x.x_amd64.AppImage No install, chmod +x and run
DEB ClawPanel_x.x.x_amd64.deb sudo dpkg -i *.deb
RPM ClawPanel-x.x.x-1.x86_64.rpm sudo rpm -i *.rpm

Linux Server (Web Version)

curl -fsSL https://raw.githubusercontent.com/qingchencloud/clawpanel/main/scripts/linux-deploy.sh | bash

Visit http://YOUR_SERVER_IP:1420 after deployment. 📖 Linux Deployment Guide

Docker

docker run -d --name clawpanel --restart unless-stopped \
  -p 1420:1420 -v clawpanel-data:/root/.openclaw \
  node:22-slim \
  sh -c "apt-get update && apt-get install -y git && \
    npm install -g @qingchencloud/openclaw-zh --registry https://registry.npmmirror.com && \
    git clone https://github.com/qingchencloud/clawpanel.git /app && \
    cd /app && npm install && npm run build && npm run serve"

📖 Docker Deployment Guide

Quick Start

  1. Initial Setup — First launch auto-detects Node.js, Git, OpenClaw. One-click install if missing.
  2. Configure Models — Add AI providers (DeepSeek, MiniMax, OpenAI, Ollama, etc.) with API keys. Test connectivity.
  3. Start Gateway — Go to Service Management, click Start. Green status = ready.
  4. Start Chatting — Go to Live Chat, select model, start conversation with streaming & Markdown.

🤖 AI Assistant Highlights

Built-in AI assistant that can directly operate your system — diagnose, fix, even submit PRs.

Four Modes

Mode Icon Tools Write Confirm Use Case
Chat 💬 Pure Q&A
Plan 📋 Read configs/logs, output plans
Execute Normal work, dangerous ops need confirm
Unlimited Full auto, no prompts

Eight Tools

Tool Function
ask_user Ask user questions (single/multi/text)
get_system_info Get OS, architecture, home directory
run_command Execute shell commands
read_file / write_file Read/write files
list_directory Browse directories
list_processes View processes
check_port Check port usage

Tech Architecture

Layer Technology Description
Frontend Vanilla JS + Vite Zero framework, lightweight
Backend Rust + Tauri v2 Native performance, cross-platform
Communication Tauri IPC + Shell Plugin Frontend-backend bridge
Styling Pure CSS (CSS Variables) Dark/Light themes, glassmorphism

Build from Source

git clone https://github.com/qingchencloud/clawpanel.git
cd clawpanel && npm install

# Desktop (requires Rust + Tauri v2)
npm run tauri dev        # Development
npm run tauri build      # Production

# Web only (no Rust needed)
npm run dev              # Dev with hot reload
npm run build && npm run serve  # Production

FAQ

Hot Update Caused UI Issues / Rolling Back to Built-in Version

ClawPanel desktop supports frontend hot updates. Update files are stored at:

OS Path
Windows %USERPROFILE%\.openclaw\clawpanel\web-update\
macOS / Linux ~/.openclaw/clawpanel/web-update/

If the UI looks broken after a hot update or you want to revert to the version bundled with the installer, simply delete that directory and restart:

# macOS / Linux
rm -rf ~/.openclaw/clawpanel/web-update

# Windows PowerShell
Remove-Item -Recurse -Force "$env:USERPROFILE\.openclaw\clawpanel\web-update"

After restarting ClawPanel, the built-in frontend resources will be used automatically.

Project Description
OpenClaw AI Agent Framework
ClawApp Cross-platform mobile chat client
cftunnel Cloudflare Tunnel tool

Contributing

Issues and Pull Requests are welcome. See CONTRIBUTING.md for guidelines.

Acknowledgements

ClawPanel keeps growing because of every contributor in the community. Thank you for helping make the project better.

Code Contributors

Thanks to these developers for submitting Pull Requests and contributing directly to the codebase:


liucong2013

#88

axdlee

#58

ATGCS

#107

livisun

#106

kiss-kedaya

#101 #94

wzh4869

#82

0xsline

#15

jonntd

#18

Community Reporters

Thanks to community members who opened issues, reported bugs, and suggested features:

If we missed your contribution, please open an issue and we will add it promptly.

Sponsor

If you find this project useful, consider supporting us via USDT (BNB Smart Chain):

Sponsor QR
0xbdd7ebdf2b30d873e556799711021c6671ffe88f

Contact

License

This project is licensed under AGPL-3.0. For commercial/proprietary use without open-source requirements, contact us for a commercial license.

© 2026 QingchenCloud (武汉晴辰天下网络科技有限公司) | claw.qt.cool

Languages
JavaScript 59.5%
Rust 32%
CSS 7.3%
Shell 0.7%
HTML 0.3%
Other 0.2%