AgentOps
Also known as: Agent Operations, Agent Ops, Agentic Ops, AI AgentOps
The operational discipline of running AI agents in production — observability, governance, cost control, and incident response.
What is AgentOps?
AgentOps (Agent Operations) is the emerging operational discipline for AI agents in production — analogous to DevOps for software and MLOps for machine learning models. AgentOps covers the full lifecycle of running autonomous and multi-agent systems: deployment, observability, governance, policy enforcement, escalation routing, cost control, incident response, and audit. LeafMesh ADK is a purpose-built AgentOps platform that provides these primitives as part of an agent operations fabric. As enterprises move beyond agent prototypes into production, AgentOps becomes the bottleneck — and the differentiator.
Related concepts
Looking for the agent operations fabric?
LeafMesh ADK is the production runtime for the concepts defined here.