Openclaw Mission Control

0xindiebruh/openclaw-mission-control-skill

This is a local-first Kanban board with an HTTP API designed specifically for coordinating multiple AI agents. One agent acts as Team Lead creating and assigning tasks, while Worker Agents poll via heartbeat (every 15m or whatever interval you set), pick up work, log progress, and mark things complete. Everything stores in JSON files, no database required. The repo includes a Next.js dashboard at localhost:8080 where you can watch your agents move tasks through backlog, todo, in progress, review, and done. It's built for OpenClaw's multi-agent mode but the API is generic enough to work with any setup that can make HTTP requests. If you're running more than one agent and tired of them stepping on each other, this gives them a shared task queue and audit trail.

skills.sh installs: 371
last updated: Aug 21, 2026

View on GitHub

Install

$ npx -y skills add 0xindiebruh/openclaw-mission-control-skill --skill openclaw-mission-control --agent claude-code

Installs into .claude/skills of the current project.

Files

Mission Control

Coordinate a team of AI agents using a Kanban-style task board with HTTP API.

Overview

Mission Control lets you run multiple AI agents that collaborate on tasks:

Team Lead: Creates and assigns tasks, reviews completed work
Worker Agents: Poll for tasks via heartbeat, execute work, log progress
Kanban Board: Visual task management at http://localhost:8080
HTTP API: Agents interact via REST endpoints
Local Storage: All data stored in JSON files — no external database needed

Quick Start

1. Install the Kanban Board

# Clone the Mission Control app
git clone https://github.com/0xindiebruh/openclaw-mission-control.git
cd mission-control

# Install dependencies
npm install

# Start the server
npm run dev

The board runs at http://localhost:8080.