AbëONE: Relational AI That Learns Your Cognitive Patterns
Hacker News
Bravëtto introduces AbëONE, a novel AI system differentiating itself from current LLMs through persistent relational memory, an emotional intelligence layer, neuromorphic architecture for efficiency, and user evolution tracking, aiming for a more personalized and context-aware AI experience.
AbëONE: Relational AI That Learns Your Cognitive Patterns | Hacker News
We're building AbëONE at Bravëtto—an AI system designed around a fundamentally different premise than current LLMs.
Core innovations:
Persistent Relational Memory — Not just conversation history, but learned patterns of how individual users think, communicate, and solve problems.
Emotional Intelligence Layer — Affective computing that recognizes emotional states and adapts responses accordingly. Not sentiment analysis—actual emotional context awareness.
Neuromorphic Architecture — Event-driven processing that mimics biological neural networks. Result: 60% lower energy consumption than traditional transformer models.
User Evolution Tracking — The system doesn't just remember what you said; it tracks how your needs and patterns evolve over time.
The technical challenge: How do you build memory that's meaningful without being creepy? Our approach uses client-side preference stores with user-controlled retention.
Early benchmarks:
40% improvement in emotional context recognition vs GPT-4
60% lower power consumption
85% user preference in A/B tests for "feels like it knows me"
Looking for feedback from the community. What are the technical challenges you see in building truly relational AI?
For developers who want to build the future: We're actively looking for collaborators—engineers, researchers, and builders who want to be part of something that matters. DM or email [email protected].