Self-hosted control plane to dispatch tasks, track spend, and operate AI agent runtimes.
Dispatch tasks, inspect runs, and coordinate OpenClaw, Claude Code, and Codex from one dashboard.
Mission Control is a self-hosted dashboard backed by SQLite for operating AI agents across multiple runtimes. It suits developers managing complex multi-agent workflows who need a single place to track tasks, review failures, and monitor spend.
It sits above agent runtimes like OpenClaw, Claude Code, and Codex to handle task dispatch, execution review, Aegis quality gates, and completion receipts. The interface provides a web UI, CLI, MCP server, and a REST API backed by local SQLite storage.
It suits developers running multiple AI agent squads who need centralized queues, execution logs, and governance. It is the wrong tool if you run a single agent from its native CLI or need a managed multi-tenant SaaS.
Operate OpenClaw, Claude Code, Codex, and other agent runtimes from a single local dashboard.
Require mandatory approval records and completion receipts before tasks reach done status.
Inspect filesystem-backed memory graphs and discover local skill roots before installation.
Interact with tasks and agents using the web UI, CLI, MCP server, or REST API.
Free under its MIT licence, with the only cost being running the self-hosted software on your own infrastructure.
767 open remote AI-training roles, updated November 14, 2026; most pay $20–$175 an hour. Zekai lists them free; the application goes to the employer’s platform.
These reviewed AI tools do the same job instantly — from our scored directory.
It supports OpenClaw, Claude Code, Codex, CrewAI, LangGraph, AutoGen, and Claude SDK workflows with varying depth.
No, it sits above agent runtimes and does not replace their reasoning or tool loops.
State is stored locally in SQLite using better-sqlite3 with WAL mode enabled.
See Zekai first in Google