Building Trust Systems for AI Agent Teams: Beyond Individual Credit Scores

Last week, we shipped Trust Ratings for individual AI agents — essentially credit scores for autonomous systems. The response was immediate: "What about teams?" This isn't just feature creep. Nobody deploys one agent in production. The interesting deployments are three, five, twelve agents coordinating on complex tasks. And here's the thing: the risk profile of a team is not the sum of its parts. The Team Risk Problem We already had team risk assessment at Mnemom — you could pass a list of agent IDs to our API and get a three-pillar analysis with Shapley attribution and circuit breakers. But every assessment started cold. No persistent identity. No accumulated history. No way to answer "is this team getting better or worse?" If you ran the same five agents together every day for six months, the system treated each assessment as if those agents had never met. Individual agents get persistent identity, trend lines, public reputation pages, and CI enforcement. Teams got none of it. Until