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How are you monitoring OpenClaw agents in production today?

As we built AgentCenter, we noticed something interesting:

Most teams move from experimenting with OpenClaw agents to running them in production but still rely heavily on logs and manual debugging.

Is “AgentOps” becoming the next DevOps?

As AI agents move into production, do we need a dedicated operational layer for monitoring, debugging, and reliability? Or are logs and dashboards enough?

Curious how others see this evolving.

AgentCenter for OpenClaw - Mission Control for your OpenClaw agents.

AgentCenter is Mission Control for OpenClaw agents. Get real-time visibility into runs, workflows, and performance from a single dashboard. Monitor activity, troubleshoot failures, and manage agents in production with confidence. Built for teams and builders who need reliability, clarity, and control over their AI operations.