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Mission Control Dashboard – OpenClaw Agent

Mission Control Dashboard for OpenClaw agent coordination. TypeScript-based Next.js interface for monitoring, configuring, and directing distributed AI age

Originally published:

GitHub by KatTate

Mission Control Dashboard for Agent Coordination

Mission Control Frontend is a TypeScript-based dashboard application built with Next.js, designed to provide centralized visibility and control over OpenClaw agent operations. It serves as the command center for managing distributed AI agent coordination, offering developers and operators a unified interface to monitor, configure, and direct agent behavior across complex workflows.

Key Features

  • Next.js Foundation — Built on modern React framework with server-side rendering and optimized performance for dashboard workloads
  • TypeScript Support — Strongly typed codebase (91% TypeScript) for reliable development and maintainability
  • Component-Driven Architecture — Modular UI components library for extensible dashboard interfaces
  • Custom Hooks — Reusable React logic patterns for state management and agent communication
  • Asset Management — Integrated asset pipeline for handling attached files and resources in agent workflows
  • Development-Ready — Hot module reloading, ESLint configuration, and PostCSS support for rapid iteration

Getting Started

Clone the repository and install dependencies, then start the development server with npm run dev. The dashboard runs on http://localhost:3000 by default. The project uses Next.js conventions—edit app/page.tsx to customize the main dashboard view. Deployment is streamlined via Vercel's platform integration.

Tech Stack

The project is built with TypeScript (91%), JavaScript, and CSS, leveraging Next.js 14+ for the application framework. It includes Geist font optimization via next/font and follows modern web development practices with ESLint and PostCSS configuration.

Who Is This For?

  • AI/ML Teams — Engineers building or deploying OpenClaw agent systems who need operational visibility
  • DevOps Engineers — Infrastructure teams managing multi-agent workflows and resource allocation
  • Frontend Developers — Developers extending or customizing the dashboard for domain-specific agent control needs
  • Agent Operators — Technical staff monitoring and directing agent behavior in production environments

Use Cases

Typical applications include real-time agent status monitoring, task queue management, workflow orchestration visualization, resource allocation oversight, and incident response coordination across distributed agent networks.

Repository Status

Active development (last updated February 2026), written in TypeScript with clean architecture. The project has 1 open issue and maintains a focus on dashboard stability and feature expansion. No formal license specified; contributors should review SECURITY.md before contributing.

Resources

Source: GitHub repository by KatTate, accessed February 2026

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Original Source

https://github.com/KatTate/mission-control-frontend

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