19 AgentOps tools for monitoring AI activity, issues, and costs

As AI agents proliferate across enterprises, AgentOps tools have emerged to monitor, debug, and optimize AI activity—addressing unique challenges like non-determinism, hallucinations, and resource consumption that traditional DevOps tools cannot fully handle. IT organizations must now evaluate and implement specialized agent observability solutions to ensure production AI systems remain stable, cost-effective, and performant while reducing operational risk. This represents a critical shift in IT operations strategy, requiring new tooling investments and skill development to manage AI as a first-class operational concern rather than a peripheral capability.