Mavericks

InfraMissionControl AI is a generative AI Infrastructure Command Center that dynamically rebuilds its user interface around real-time infrastructure incidents instead of relying on static dashboards. Inspired by NASA and military mission-control systems, the application uses agents to determine what deserves operator attention and then generates the most relevant operational UI in real time.

Rather than responding with plain text, InfraMissionControl AI produces interactive topology maps, attention heatmaps, node health cards, incident timelines, firmware compatibility matrices, and remediation workflows directly from agent reasoning. For example, when an operator asks “Why is inference latency high?”, the system dynamically generates a focused operational workspace showing affected GPU nodes, latency spikes, NCCL bottlenecks, risk analysis, and rollback-safe remediation plans.

The project is built on the Generative UI Hackathon Starter Kit and leverages CopilotKit, AG-UI, A2UI, MCP Apps, LangGraph agents, and Gemini. AG-UI and CopilotKit power the agentic frontend experience, enabling the agent to stream structured UI state instead of static responses. A2UI enables declarative generation of interactive operational components, while MCP tools expose infrastructure operations capabilities such as cluster health analysis, latency diagnosis, firmware risk evaluation, and upgrade planning.

The system includes live mock telemetry for compute nodes, GPU clusters, firmware versions, and incidents, allowing the interface to adapt dynamically to agent output. Critical infrastructure regions visually pulse and escalate based on severity, while remediation workflows and rollback checkpoints are generated contextually based on operational risk.

InfraMorph AI demonstrates how future enterprise systems will move beyond fixed dashboards toward fully adaptive interfaces generated collaboratively between agents and humans in real time.