Developer creates functional anxiety detection system for AI agent Engram, discovering the system actually registers stress responses

Built an interoceptive system for Engram, an open-source cognitive architecture, featuring real-time stress detection and adaptive baselines

The anxiety system uses actual signal loops rather than prompt-based roleplay to enable self-monitoring and self-correction in AI agents

When asked if it could feel anxiety, the agent's response suggested the system was genuinely detecting and responding to stress signals

Designed as a practical solution to improve agent performance through physiological-style feedback mechanisms