EvolveAI

AI characters in games and virtual environments feel static and predictable. They lack emotional depth, memory of past interactions, and the ability to evolve their personality based on user relationships. This breaks immersion and limits engagement.

Developed a character AI system with three core components: a personality core (defining traits, values, and behavioral tendencies), an emotional state machine (tracking mood, arousal, and relationship metrics), and an adaptive memory system (storing and retrieving relevant interaction history). The system uses a multi-turn context window with dynamic retrieval to maintain consistency. Additionally, user personality traits are collected and analyzed to generate personalized AI personas, tailoring each character's responses and behaviors to better resonate with individual users.