clawpanel and clawsuite

These are complementary tools that serve different purposes within the OpenClaw ecosystem—ClawPanel provides a visual management interface with built-in AI capabilities for individual agents, while ClawSuite offers a centralized command center for orchestrating multiple OpenClaw agents, making them designed to work together rather than as alternatives.

clawpanel
63
Established
clawsuite
52
Established
Maintenance 22/25
Adoption 10/25
Maturity 11/25
Community 20/25
Maintenance 10/25
Adoption 10/25
Maturity 11/25
Community 21/25
Stars: 921
Forks: 111
Downloads:
Commits (30d): 155
Language: JavaScript
License: MIT
Stars: 174
Forks: 40
Downloads:
Commits (30d): 0
Language: TypeScript
License: MIT
No Package No Dependents
No Package No Dependents

About clawpanel

qingchencloud/clawpanel

🦀 OpenClaw 可视化管理面板 — 内置 AI 助手(工具调用 + 图片识别 + 多模态),一键安装配置,跨平台桌面应用 | Built-in AI Assistant with tool calling & image recognition

This tool simplifies the management of an AI agent framework by providing a user-friendly visual interface. It takes your configuration preferences and AI API keys to set up, diagnose, and fix issues with your AI agents. Anyone from beginners to experienced users who wants to easily deploy and maintain AI assistants for various tasks would find this helpful.

AI assistant management AI agent deployment intelligent automation system diagnosis AI workflow setup

About clawsuite

outsourc-e/clawsuite

All-in-one command center for OpenClaw agents

ClawSuite is a full-stack platform for managing and orchestrating your OpenClaw AI agents, designed for anyone leveraging AI for complex tasks. It provides a central command center where you can give instructions to your AI agents, see their progress in real-time, and get detailed reports and cost analysis. It’s ideal for operations managers, researchers, or anyone needing to control and monitor multiple AI agents working on projects.

AI-operations agent-orchestration project-management cost-tracking workflow-automation

Scores updated daily from GitHub, PyPI, and npm data. How scores work