mission-control

mission-control is an agent framework - Self-hosted AI agent orchestration platform: dispatch tasks, run multi-agent workflows, monitor spend, and govern operations from one mission control dashboard.

Overview

Manage AI agent fleets, dispatch tasks, track costs, and coordinate multi-agent workflows — self-hosted, zero external dependencies, powered by SQLite.

32 panels Tasks, agents, skills, logs, tokens, memory, security, cron, alerts, webhooks, pipelines, and more — all from a single SPA shell. Real-time everything WebSocket + SSE push updates with smart polling that pauses when you're away. Zero stale data. Zero external deps SQLite database, single pnpm start to run. No Redis, no Postgres, no Docker required. Role-based access Viewer, operator, and admin roles with session + API key auth. Google Sign-In with admin approval workflow. Quality gates Built-in Aegis review system that blocks task completion without sign-off. Skills Hub Browse, install, and security-scan agent skills from ClawdHub and skills.sh registries. Bidirectional disk ↔ DB sync. Multi-gateway Connect to multiple agent gateways simultaneously. Framework adapters for OpenClaw, CrewAI, LangGraph, AutoGen, Claude SDK. Recurring tasks Natural language scheduling ("every morning at 9am") with cron-based template spawning. Claude Code bridge Read-only integration surfaces Claude Code team tasks, sessions, and configs on the dashboard. Agent eval & security Four-layer eval framework, trust scoring, secret detection, MCP call auditing, and hook profiles (minimal/standard/strict).

The installer handles Node.js 22+, pnpm, dependencies, and auto-generates secure credentials. For Windows, use '.\install.ps1 -Mode local' in PowerShell.

The project publishes multi-arch images to GHCR on main and version tags.

mission-control is open-source, written primarily in TypeScript, with 5,218 GitHub stars under the MIT license. The latest release is v2.0.1 (2026-03-18).

Key capabilities

From the project's documentation:

• Why teams adopt Mission Control
• Getting Started with Agents
• Built with Mission Control
• Predictable orchestration: one dashboard for task flow, dispatch, quality gates, and audit trails.
• Faster operator response: real-time agent/task/security telemetry without stitching tools together.
• Local-first deployment: SQLite-backed stack with no mandatory Redis/Postgres dependency.

Install

A quick way to get started (always check the official docs for the latest):

docker run --rm -p 3000:3000 ghcr.io/builderz-labs/mission-control:latest

How it fits a local-AI stack

mission-control runs on your own hardware, so pair it with a model and a GPU sized to your needs. Use the VRAM calculator to pick a model that fits your card, and see what you can run for hardware guidance. Related agent frameworks in the directory:

• Agno
• AutoGPT
• CrewAI
• Genkit

Sources

• Source code & docs: builderz-labs/mission-control
• Official website: https://mc.builderz.dev

Stats from GitHub, 2026-06-08.