qingchencloud/clawpanel

⭐ 2,685  ·  JavaScript  ·  GitHub Repo

ClawPanel is a multi-engine AI management panel that provides a visual interface for managing OpenClaw and Hermes Agent frameworks, solving the complexity of configuring, monitoring, and maintaining AI agent systems. It stands out by offering an integrated AI assistant for automated setup, diagnostics, and error fixing, plus a cross-platform Tauri v2 desktop app with 11 language support.

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1-Sentence Summary

A multi-engine AI management panel with a built-in assistant for visual agent control and cross-platform deployment.

🔥 Key Capabilities & USP

• Multi-Engine AI Framework Management — Provides a unified dashboard to control OpenClaw and Hermes Agent sessions, memory, personality, and tools. Solves the pain point of juggling multiple CLI tools and configuration files for different agent frameworks.
• Built-in AI Assistant — Includes 8 tools and 4 modes for automated installation, diagnostics, and error fixing via interactive Q&A. This is the USP: it actively helps you troubleshoot and configure the panel itself, reducing the learning curve for new users.
• Hermes Agent Full Lifecycle Management — Visualizes long-term memory (Notes, User Profile, Soul), conversation flows, tool calls, and execution chains. Supports extensible channels (QQ, Telegram, Discord), solving the complexity of monitoring agent behavior and memory.
• Cross-Platform Desktop & Web Deployment — Built with Tauri v2 for native macOS, Windows, and Linux apps, plus a pure Web version for ARM64 embedded devices (Orange Pi, Raspberry Pi) and Docker. Solves the need for a single management interface across diverse hardware.
• One-Click Installation & Upgrade — Desktop app includes auto-update; Linux/Docker versions provide one-command deployment and upgrade scripts. Eliminates manual dependency management and version mismatch headaches.

Technical Architecture

Layer	Technology	Purpose
Frontend	Vite (React/Vue)	Reactive UI for the management panel
Desktop Backend	Tauri v2 (Rust)	Cross-platform native app (macOS, Windows, Linux)
Web Backend	Node.js 18+	Server-side logic for the web-only deployment
AI Engines	OpenClaw (Chinese-translated) & Hermes Agent (Nous Research)	Core agent frameworks being managed
Deployment	Docker (ARM64), Linux scripts, DMG/EXE/MSI/AppImage	Flexible installation targets

Quick Start Guide

Linux Web version one-click deploy:

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

Docker deployment:

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"

macOS quarantine removal (if app is blocked):

sudo xattr -rd com.apple.quarantine /Applications/ClawPanel.app

Manual upgrade (Linux Web):

cd /opt/clawpanel
git pull origin main
npm install
npm run build
sudo systemctl restart clawpanel

Pros, Cons & Use Cases

Pros

• Multi-engine support reduces tool fragmentation for teams using both OpenClaw and Hermes Agent.
• Built-in AI assistant actively helps with installation and diagnostics, lowering the barrier for new users.
• Truly cross-platform: desktop (Tauri v2) + web + Docker + ARM64 embedded devices.
• 11 language support makes it accessible to a global audience.
• Active community with multiple communication channels (QQ, WeChat, Discord, Feishu).

Cons

• macOS desktop app is unsigned, requiring a manual xattr command to bypass Gatekeeper — a friction point for non-technical users.
• OpenClaw and panel versions must match, creating potential upgrade coordination issues.
• Hermes Agent support may be in early stages, so features might be incomplete or unstable.
• AI interface (Qingchen Cloud) is a test platform with rate limits and potential queueing, not a production-grade API.

Who should NOT use this?

• Users who only need a single, stable agent framework without multi-engine management — this adds unnecessary complexity.
• Enterprise teams requiring signed macOS apps for MDM deployment — the unsigned status is a blocker.
• Users who prefer CLI-only workflows — the panel is designed for visual management.
• Anyone needing a production-grade AI API — the built-in assistant relies on a test platform with rate limits.

Ideal Use Cases

• AI agent operators managing multiple OpenClaw and Hermes Agent instances from a single dashboard.
• Embedded device enthusiasts running AI agents on ARM64 boards (Orange Pi, Raspberry Pi) with the web version.
• Teams needing cross-platform agent management across macOS, Windows, and Linux desktops.
• Hobbyists and developers who want a visual interface to explore Hermes Agent’s memory and tool-calling features.

Community & Activity

With 2,685 stars, ClawPanel has strong early momentum in the AI agent management space. The project is actively maintained (last updated May 2026) and offers a rich ecosystem of community channels (QQ, WeChat, Discord, Feishu). The combination of a polished Tauri v2 desktop app and a comprehensive feature set suggests a dedicated team behind it. This is a project worth watching — and contributing to — if you’re building multi-agent systems.