Mission Control

A self-hosted control plane for AI agents — dispatch tasks, review runs, track spend, and operate multiple agent runtimes from one dashboard.

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Mission Control

What Is It

Mission Control is a self-hosted control plane for AI agents built by Builderz Labs. It lets you dispatch tasks to agents, review their runs, and track spend — all from a single web dashboard. While it supports multiple runtimes (OpenClaw, Claude Code, Codex, and others), it works great alongside Hermes Agent as the operations layer for teams running agents in production.

It’s the kind of tool you reach for when you move from “one agent on my laptop” to “several agents doing work for my team.”

Key Features

Feature What it does
Task dispatch Send tasks to agents from a queue with defined priorities and routing
Run review Inspect completed agent runs — see what the agent did, step by step
Spend tracking Monitor token usage and cost across agents and tasks
Fleet management Manage multiple agent instances and runtimes in one place
Self-hosted Runs on your own infrastructure with SQLite storage — no cloud lock-in

The stack is TypeScript + Next.js with a SQLite backend, which makes it easy to self-host on a small VPS.

Getting Started

Mission Control provides a straightforward setup:

# 1. Clone the repository
git clone https://github.com/builderz-labs/mission-control.git
cd mission-control

# 2. Install dependencies and start
npm install
npm run dev

Then connect your agent runtimes through the dashboard and start dispatching tasks. The project maintains an active discussion community for configuration questions.

Why It Matters for Hermes Users

Hermes Agent is designed to run long-lived — on a VPS, on a GPU cluster, or in serverless infrastructure. When you run it that way, you want observability: what did it do overnight? What did it cost? Mission Control answers those questions, and its multi-runtime support means you can manage Hermes alongside other agents without juggling several tools.

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