Self-hosted control plane for AI agents: dispatch tasks, review runs, track spend, and operate OpenClaw, Claude Code, Codex, and other runtimes.
Mission Control is a self-hosted, open-source Next.js dashboard for orchestrating fleets of AI agents, built on SQLite with no external dependencies like Redis or Postgres. It exposes 32 UI panels covering task dispatch, a Kanban-style workflow board, token and spend tracking, cron-based recurring tasks with natural language scheduling, MCP call auditing, and a Skills Hub that browses and security-scans agent skills from the ClawdHub and skills.sh registries. The platform connects to Claude through a Claude Code bridge that surfaces team tasks, sessions, and configurations in read-only mode, and supports framework adapters for Claude SDK alongside OpenClaw, CrewAI, LangGraph, and AutoGen. A built-in Aegis review system blocks task completion until a human operator signs off, and a four-layer eval framework assigns trust scores to agents. The project ships 577 tests (282 unit, 295 end-to-end) and targets engineering teams, solo developers, and operators who need auditable, locally deployable control over multi-agent Claude workflows without relying on third-party cloud infrastructure.
- ✓Open-source license (MIT)
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Topics declared
git clone https://github.com/builderz-labs/mission-control && cp mission-control/*.md ~/.claude/agents/1 items en este repositorio
Interact with Mission Control — AI agent orchestration dashboard. Use when registering agents, managing tasks, syncing skills, or querying agent/task status via MC APIs.
Resumen de Subagents
Lo que la gente pregunta sobre mission-control
¿Qué es builderz-labs/mission-control?
+
builderz-labs/mission-control es subagents para el ecosistema de Claude AI. Self-hosted control plane for AI agents: dispatch tasks, review runs, track spend, and operate OpenClaw, Claude Code, Codex, and other runtimes. Tiene 6.2k estrellas en GitHub y su última actualización registrada es del 2026-09-11.
¿Cómo se instala mission-control?
+
Puedes instalar mission-control clonando el repositorio (https://github.com/builderz-labs/mission-control) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar builderz-labs/mission-control?
+
Nuestro agente de seguridad ha analizado builderz-labs/mission-control y le ha asignado un Trust Score de 87/100 (tier: Trusted). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene builderz-labs/mission-control?
+
builderz-labs/mission-control es mantenido por builderz-labs. La última actividad registrada en GitHub es del 2026-09-11, con 33 issues abiertos.
¿Hay alternativas a mission-control?
+
Sí. En ClaudeWave puedes explorar subagents similares en /categories/agents, ordenados por popularidad o actividad reciente.
Despliega mission-control en tu cloud
Lleva este repo a producción en minutos. Cada plataforma genera su propio entorno con variables de entorno editables.
¿Mantienes este repo? Añade un badge a tu README
Pega el badge en tu README de GitHub para mostrar que está auditado por ClaudeWave. Cada badge enlaza de vuelta a esta página y muestra el Trust Score actual.
[](https://claudewave.com/repo/builderz-labs-mission-control)<a href="https://claudewave.com/repo/builderz-labs-mission-control"><img src="https://claudewave.com/api/badge/builderz-labs-mission-control" alt="Featured on ClaudeWave: builderz-labs/mission-control" width="320" height="64" /></a>Más Subagents
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
The agent that grows with you
Java 面试 & 后端通用面试指南,覆盖计算机基础、数据库、分布式、高并发、系统设计与 AI 应用开发
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.
The agent engineering platform.
Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.