mission-control Agent Skills & AI Rules

GitHub

Self-hosted control plane for AI agents: dispatch tasks, review runs, track spend, and operate OpenClaw, Claude Code, Codex, and other runtimes.

RAW Rules
9 Discovered Rules โ€ข ~5,207 Estimated Tokens
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public - LLM Index & Context Digest

public/llms.txt root-instruction ~291 tokens
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# Mission Control

> Open-source dashboard for AI agent orchestration.

Mission Control is a self-hosted dashboard for managing AI agent fleets. It provides task dispatch, cost tracking, quality review gates, recurring task scheduling, and multi-agent coordination โ€” all powered by SQLite with zero external dependencies.

## Key Features
- Agent management with full lifecycle (register, heartbeat, wake, retire)
- Kanban task board with priorities, assignments, and comments
- Task queue with atomic claiming and priority-based dispatch
- Auto-dispatch with model routing (Opus/Sonnet/Haiku by task complexity)
- Aegis quality review gates for task sign-off
- Real-time monitoring via WebSocket + SSE
- Token usage and cost tracking with per-model breakdowns
- Natural language recurring tasks with cron scheduling
- MCP server with 35+ tools for agent integration
- CLI for headless/scripted usage
- Role-based access control (viewer, operator, admin)
- REST API with OpenAPI spec

## Stack
Next.js 16, React 19, TypeScript 5, SQLite (better-sqlite3), Tailwind CSS

## Links
- Source: https://github.com/builderz-labs/mission-control
- Landing page: https://mc.builderz.dev
- License: MIT

## llms-full.txt
For the complete API reference and integration guide, see docs/cli-agent-control.md in the repository.