Managing multiple AI agents, wanting to see in real-time what they are doing, chat logs, task progress, and even cost expenditures. However, existing tools either have scattered functionalities or require additional configuration of API keys, which is quite cumbersome. I stumbled upon ClawPort, an open-source project designed as a visual command center for OpenClaw AI agent teams, managing all agents from a single interface. By simply connecting to the local OpenClaw gateway, you can access an organizational chart, agent conversations, dashboards, scheduled task monitoring, cost tracking, real-time log streams, and a memory browser. GitHub: It provides an interactive organizational chart, supports streaming text chat, image attachment visual recognition, and voice message waveform playback. There are also task boards for drag-and-drop assignment, real-time status monitoring of scheduled tasks, and a dashboard for token usage and cost analysis, including daily cost charts, anomaly detection, and week-over-week trends. Automatically discover agents in the OpenClaw workspace without configuration files, offering five theme switches, and can be quickly launched via global installation through npm.