AgentX puts test suites and observability around AI agents — so you catch failures before a user does, not after.

It's a multi-agent eval framework: build hierarchical agent teams, then run evaluations with full tracing that pinpoint which tool call or state change broke, before it reaches production. CI/CD for agents, with the first one live in under a minute.

The useful part isn't the eval score — it's that a failed case points to the action boundary: which tool call or write created the risk, so you know exactly what to fix.

https://www.agentx.so/