Opendria – Historical AI characters simulating brain, emotional & cognitive states

A developer built Opendria, a platform that simulates brain, emotional, and cognitive states for 80 historical figures, including Einstein and Aristotle, to create immersive educational experiences. The system uses a backend engine to dynamically calculate cognitive metrics, track emotional variables like allostatic load and trust, and maintain conversational memory across sessions. A free tier is available for testing the simulation engine and mobile chat responsiveness.

I built Opendria to explore how generative AI can be coupled with cognitive and psychological state machines to create immersive educational experiences. Instead of using simple LLM wrappers, Opendria runs a backend simulation of brain, emotional, and cognitive states for 80 historical figures like Einstein, Aristotle, Da Vinci, and Newton : Cognitive Profiling: The backend dynamically calculates cognitive metrics e.g., prefrontal cortex and temporal lobe scores based on prompt sentiment and context. Emotional & Somatic Simulation: It tracks variables like allostatic load, trust, and visceral tension. If a character has high stress or low trust, their vocabulary, patience, and character reactions shift organically. Conversational Memory: Uses structured persistence layers to track learned concepts and memories across sessions, avoiding LLM "amnesia." I’ve set up a free tier for testing the conversation flows. I’d love to get the community’s advice and feedback on: The Simulation Engine: How does the transition of emotional and cognitive states feel in the dialogue? UI/UX & Mobile: How is the mobile chat responsiveness? Character Depth: What other parameters or historical figures should be integrated into the engine? You can check out the app here: https://www.opendria.com https://www.opendria.com – Let me know your thoughts