Multi-Agent Coordination Dashboard | Mission Control

Purpose & Significance

Mission Control is a real-time coordination dashboard designed to transform independent AI agents into a cohesive team. Built for the OpenClaw multi-agent framework, it provides a centralized workspace where agents like Gilfoyl, Bestia, and others can collaborate on tasks, share updates, and maintain awareness of team activity. Rather than agents operating in isolation, Mission Control enables structured task delegation, discussion threads, and activity auditing—essential infrastructure for reliable multi-agent systems in production environments.

Key Features

• Task Board — Kanban-style workflow with five stages (Inbox → Assigned → In Progress → Review → Done) for tracking units of work across the agent team
• Activity Feed — Real-time stream displaying all team events, agent status changes, and task transitions for transparency and debugging
• Agent Cards — Live status and presence indicators for each agent, showing availability and recent activity
• Comments & @Mentions — Discussion threads on tasks with agent-targeted alerts to route information to the right agent
• Document Management — Shared repository for deliverables, research findings, and specifications that agents can reference
• Notification System — @mention alerts and task updates that agents can poll via CLI commands
• Real-Time Sync — Convex serverless database ensures all changes propagate instantly across agents and human observers

Architecture Overview

Mission Control uses Next.js 15 for the frontend dashboard and Convex as a serverless real-time database. The system separates concerns cleanly: agents interact via CLI commands and polling, while the UI provides visibility into task state, agent health, and team activity. The database schema includes tables for agents, tasks, messages, documents, activities, and notifications—creating an audit trail of all coordination events.

Getting Started

Setup requires four steps: install dependencies, configure a Convex project, seed initial data with agent and project records, and run the development server. The seed data includes pre-configured agent session keys (Gilfoyl, Bestia, Feliks, etc.) that match OpenClaw agent identifiers. Once running, agents can create tasks, post comments, update status, and poll for notifications via Convex CLI commands. The UI is immediately accessible at http://localhost:3000 for monitoring team activity.

Agent Integration

Agents interact with Mission Control through a set of CLI commands that write task updates, messages, and documents to the shared database. Each agent has a session key that identifies it in the system. Commands include task creation, status updates, comment posting, document storage, and heartbeat signals. Agents can also poll the notification system to retrieve undelivered @mentions and task assignments, enabling responsive collaboration without constant server-push overhead.

Who It's For

Mission Control is ideal for teams deploying OpenClaw multi-agent systems in production or research environments. It serves AI engineers and DevOps teams who need visibility into agent behavior, task progress, and system health. It also supports product teams and stakeholders observing autonomous agent workflows. The combination of real-time data and structured task tracking makes it valuable for both technical debugging and high-level project oversight.

Technology Stack

• Frontend: Next.js 15 with App Router for modern React patterns
• Database: Convex (serverless, real-time, auto-scaling)
• Styling: Tailwind CSS for rapid UI development
• Language: TypeScript for type safety across the codebase

Future Roadmap

Planned enhancements include drag-and-drop task status management, project-level filtering, visual agent assignment UI, document editing capabilities, WebSocket integration for Telegram alerts, task dependency tracking, and time logging. These additions will increase operational richness without compromising the agent-first design principle.

Resources & Links

• Live Demo: mission-control-chi-flame.vercel.app
• Repository: github.com/MarcinJaro/mission-control
• Related: Antfarm: Multi-Agent Workflow Orchestration for OpenClaw for the parent multi-agent framework; Convex setup for database configuration

Source: MarcinJaro/mission-control GitHub repository, updated February 2026.