A mission control dashboard providing real-time session monitoring and cost intelligence for your AI agent workforce.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install command-center
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install command-center using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is OpenClaw Command Center?
The OpenClaw Command Center serves as the centralized mission control for managing a complex AI workforce. It provides developers and system admins with a real-time dashboard to observe all active AI sessions, track model usage, and monitor system health. As one of the core Openclaw Skills, it bridges the gap between background agent processes and human oversight by visualizing performance metrics and session logs.
This skill is designed to handle the observability needs of multi-agent environments. It tracks everything from LLM token consumption and per-session costs to hardware vitals like CPU and memory usage. By providing a unified view of your Openclaw Skills, it ensures that your automated workflows are running efficiently and within budget.
OpenClaw Command Center Use Cases
- Monitoring multiple concurrent AI agent sessions in real-time.
- Tracking LLM token usage and estimated costs for Claude, Codex, and other models.
- Observing system resource consumption (CPU, Memory, Disk) to prevent bottlenecks.
- Managing scheduled tasks and cron jobs within the AI workspace.
- Organizing and reviewing conversation topics through Cerebro integration.
How OpenClaw Command Center Works
- The skill auto-detects the active Openclaw workspace via environment variables or default paths.
- A Node.js backend initializes and connects to the workspace state and local system telemetry.
- A web-based dashboard is served locally at port 3333, providing a visual interface for data.
- Real-time updates are pushed to the UI using Server-Sent Events (SSE) via the /api/events endpoint.
- Users interact with the dashboard to toggle privacy settings, check health status, or review cost projections.
OpenClaw Command Center Setup
To get started with this monitoring dashboard, install it via the CLI and start the server:
npx clawhub@latest install command-center
cd skills/command-center
node lib/server.js
By default, the dashboard is accessible at http://localhost:3333. You can customize the authentication mode for remote access by setting the DASHBOARD_AUTH_MODE environment variable.
OpenClaw Command Center Data Schema & Taxonomy
The Command Center aggregates data from the workspace and local environment to provide a unified state. The schema includes:
| Data Point | Description |
|---|---|
| Session State | Live status and logs of all running AI agents |
| Usage Metrics | Token counts and cost calculations per model |
| System Vitals | Telemetry for CPU, Memory, Disk, and Temperature |
| Cron Registry | List of scheduled tasks and their execution history |
| API Unified State | A single JSON blob containing the entire dashboard context |
All data is accessible programmatically via the GET /api/state endpoint.
OpenClaw Command Center Advanced Features
- Multi-mode authentication support including Token-based, Tailscale VPN, and Cloudflare.
- Real-time SSE (Server-Sent Events) stream for low-latency live monitoring updates.
- Privacy Control mode to redact sensitive topics during presentations or live demos.
- Cost Intelligence engine that calculates per-session savings and projected expenditures.
- Seamless integration with Cerebro for automated topic classification and organization within the dashboard.
SKILL.md
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METADATA
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