ClawPanel

ClawPanel is an open-source visual management panel for OpenClaw, written in Go and compiled into a single 25MB file for deployment — the v5.0 rewrite cut a 500MB Node.js+Docker setup down to a single 25MB binary with zero external dependencies. Its core value: letting users in China run OpenClaw bots on QQ and WeChat with a web interface instead of command-line operations.

Core capabilities

• Unified management of 20+ channels: QQ (NapCat/OneBot), WeChat, Telegram, Discord, Feishu, DingTalk, and more, all in one panel
• Smart dashboard: Real-time monitoring of OpenClaw process status, channel connections, message statistics, and memory usage
• Multi-model configuration: Unified configuration for 8+ model providers including GPT-4o, Claude, Gemini, and DeepSeek
• Workflow orchestration: AI-generated workflow templates with pause/resume/retry/approval flows
• Plugin and skill marketplace: Browse and install plugins, integrating the ClawHub ecosystem of 13,000+ skills
• One-click install: Deploy with a single curl command; supports systemd and Windows Service

Use cases Deploying AI chatbots in QQ groups or WeChat, unified management of multi-platform AI customer service, and visual configuration and monitoring of OpenClaw. Suited to users in China who need to run OpenClaw but avoid the command line.

Unique strengths Support for Chinese instant messaging is the biggest differentiator — most OpenClaw panels (Mission Control, LobsterBoard) focus on Western platforms, while ClawPanel solves QQ and WeChat first. The 25MB single-file deployment is an order of magnitude lighter than typical Node.js setups. The built-in AI chat assistant reuses OpenClaw's API key directly, with zero extra configuration.

Editor's take Iterating from v1 to v5 within one month (45 releases) is a remarkable pace, but it also shows the product is still evolving rapidly. The CC BY-NC-SA 4.0 license prohibits commercial use. Beware that third-party QQ/WeChat logins may violate Tencent's terms of service and risk account bans. With 310 stars, the community is still small, but the project fills an important gap in the Chinese OpenClaw ecosystem.