Use Mission Control
Go to the product site for the quickstart, current capability map, deployment guidance, and community support. Mission Control remains alpha software, so review its security boundary before network exposure.
Open the product siteBuilderz Labs project
Mission Control for AI agent operations
Mission Control is a self-hosted control plane for dispatching agent work, inspecting runs, reviewing failures, tracking spend, and coordinating runtimes. Builderz Labs publishes the project under the MIT License.
A control plane, not an agent framework
Mission Control sits above agent runtimes. It does not replace their reasoning or tool loops. It gives operators one place to follow ownership, execution, review, operating cost, and unresolved failures.
It is most useful when multiple agents, people, or gateways create enough operating surface that native CLI views no longer answer who owns the work or whether a result passed review.
- Tasks, assignment, review, and completion evidence
- Agent registration, sessions, runtimes, and workspace sync
- Schedules, alerts, logs, token use, and cost views
- Roles, API keys, security events, approvals, and audits
One operating layer, several interfaces
The public repository documents local and Docker setup, agent registration, deployment, security hardening, and headless integration. Adapter depth varies by runtime, so verify the relevant setup guide before assuming feature parity.
Web UICLIMCPREST and OpenAPIWebSocketSSE
Choose the right path
Build a custom agent system
Builderz handles scoped operational AI delivery when the job is a custom workflow, integration, evaluation, or production system. Product support for Mission Control stays in its repository and community channels.
Check custom-build fit