Launch HN: Laminar (YC S24) – We trained a model to catch silent agent failures
Summary
Laminar released flow-1, a model trained with reinforcement learning to detect silent agent failures by analyzing agent traces. The approach emphasizes end-to-end trace analysis, clustering of signal events, and cheap, self-hosted observability for AI agents. Laminar claims flow-1 matches larger sol in detection quality at a fraction of the cost and is open-source.