AI Agent Control Tower

Stop guessing why your agents died.
Take the wheel.

OhMyAgent is the black box and command center for multi-agent systems. When your pipeline breaks at 2 AM, you don't need another dashboard — you need a surgical view of state transitions, data payloads, and a manual override that works in one click.

Everything you need to control the chaos

Four integrated modules that turn your multi-agent black box into a transparent, controllable system.

The X-Ray

Pain: Agents run like black boxes

Real-time streaming canvas inspired by LangGraph state machines. See every node, edge, and transition as it happens.

  • Green = running, Yellow = awaiting human, Red = error
  • Click any edge to inspect the full JSON handoff payload
  • Instantly spot infinite loops, dead-ends, and tool misuse

Human-in-the-Loop

Pain: Risky agent decisions you can't trust

Set breakpoints at sensitive calls. Get a popup before agents send emails, mutate databases, or call external APIs.

  • Auto-trigger when confidence drops below 80%
  • One-click: Approve, Edit Input, or Terminate
  • Full audit trail of every human intervention

The Sandbox

Pain: One prompt change cascades downstream

Shadow test environment. Run baseline and candidate agent chains side by side before shipping prompt changes.

  • Compare output consistency across chain versions
  • Track token consumption delta in real time
  • Ship only when behavior is provably stable

The Wallet Guard

Pain: Recursive calls burn $50 without warning

Fine-grained cost and latency telemetry. Know exactly which agent is the slowest and most expensive in any chain.

  • Per-step spend visibility at $0.00x precision
  • Identify the slowest “teammate” instantly
  • Budget alerts and recursion spike detection

See it in action

A simulated multi-agent pipeline with real-time topology and cost telemetry.

Multi-Agent Topology

Running Needs Approval Error
Planner Agent
Tool Router
DB Writer (Breakpoint)
Notifier Agent
"agent": "PlannerAgent", "handoff": "summarize_customer_issue", "confidence": 0.77, "tokens_used": 1284

Ready to take control?

Stop flying blind. Start debugging multi-agent pipelines like a systems engineer.