Openclaw Command Center is a mission control dashboard for OpenClaw. It is described as providing real-time session monitoring, LLM usage tracking, cost intelligence, and system vitals, with a view of all AI agents in one place. The page also calls it mission control for an AI workforce.
Its features include real-time session monitoring with live updates, LLM Fuel Gauges for tracking Claude, Codex, and other model usage, system vitals for CPU, memory, disk, and temperature, and Cron Jobs for viewing and managing scheduled tasks. It also includes Cerebro Topics for automatic conversation organization, cost tracking with per-session costs, projections, and savings estimates, and privacy controls for hiding sensitive topics during demos. Configuration is handled by automatic OpenClaw workspace detection, with an OPENCLAW_WORKSPACE override available.
Openclaw Command Center runs as a dashboard at http://localhost:3333 after installation via the CLI. The quick start shown on the page uses npx clawhub@latest install command-center, cd skills/command-center, and node lib/server.js. Authentication modes listed for the dashboard are none for local development, token for remote access, tailscale for team VPN, and cloudflare for public deployment. The page also lists API endpoints for unified dashboard data, live updates through an SSE stream, and health checks.
The entry is presented under ClawHub and Jonathan Tsai @jontsai, and it is part of the wider OpenClaw ecosystem. The license shown is MIT-0, and the page also shows version v1.4.1.
Openclaw Command Center is a LLM eval & observability project. It focuses on centralizing monitoring and management of AI agent sessions, resource usage, and operational costs for OpenClaw users. Openclaw Command Center is an open-source project aimed at AI engineers and operators. The project is open source (MIT). Openclaw Command Center is available on the web and the command line, and it can be self-hosted.
It is developed by Jonathan T / ClawHub, and it first shipped in 2026. Development happens publicly on GitHub with 241 stars and 1 commit in the last 90 days. Key capabilities include session monitoring, LLM usage tracking, and cost intelligence. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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