AWS publishes a common evaluation layer for four agent stacks
AWS introduced the Universal Agent Evaluation Framework, which normalizes traces from LangGraph, LangChain, Strands Agents and Bedrock AgentCore, then scores runs with 36 metrics across seven dimensions and stores experiments in DynamoDB and S3. Runnable notebooks accompany the technical guide.
Why it matters: A shared trace and metric layer can make prompt, model and tool regressions comparable across agent frameworks. It also creates a sensitive evaluation dataset that needs retention, PII and evaluator-quality controls.