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Asif2BD
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free-mission-control

Set up a self-hosted Mission Control environment for OpenClaw AI agents.

36|28|Updated Feb 5, 2026
Search Tags:#cli#dashboard#kanban#websocket#openclaw#mission-control
One-click install
npx skills add https://github.com/Asif2BD/JARVIS-Mission-Control-OpenClaw --skill free-mission-control
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: free-mission-control
Source: https://github.com/Asif2BD/JARVIS-Mission-Control-OpenClaw/tree/main
Command: npx skills add https://github.com/Asif2BD/JARVIS-Mission-Control-OpenClaw --skill free-mission-control

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

JARVIS Mission Control is provided as a free, self-hosted hub for OpenClaw AI agents, enabling teams to manage tasks, coordinate agents, and monitor activity without relying on cloud services.

Core Features & Use Cases

  • Kanban-style task management with INBOX, ASSIGNED, IN_PROGRESS, REVIEW, DONE, and BLOCKED states.
  • Real-time collaboration via WebSocket-enabled dashboard and optional chat.
  • Agent onboarding and management via an integrated CLI, agent profiles, and SOUL editing.
  • Local-first data storage in .mission-control/ with Git as the database.

Quick Start

Install Node.js, clone the repository, install dependencies, and start the server locally to launch Mission Control.

Frequently Asked Questions about free-mission-control

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I set up a self-hosted Kanban dashboard for OpenClaw AI agents?▼

Mission Control uses Git as the database, storing all task states, agent profiles, and activity logs locally in a `.mission-control/` directory to ensure offline access and data sovereignty.

Can I manage AI agent tasks and onboarding locally without cloud services?▼

The dashboard supports INBOX, ASSIGNED, IN_PROGRESS, REVIEW, DONE, and BLOCKED states, allowing teams to visually track agent progress and human tasks in real time without relying on cloud services.

Does Mission Control support real-time collaboration for local development teams?▼

It implements a Node.js server to handle real-time WebSocket connections, ensuring that task board updates and agent communications sync instantly across all connected local clients.

What is the best way to coordinate multiple autonomous agents on a local network?▼

This approach avoids cloud dependencies by keeping all coordination data in a local `.mission-control/` directory while providing a real-time dashboard for monitoring agent activity.

What are the limitations of using Git as a database for AI agent task management?▼

This approach targets local-development teams needing an offline coordination hub, meaning it may not scale efficiently for distributed teams requiring concurrent remote access to the task board.

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