Insights on semantic AI, memory-powered systems, and the future of intelligent applications. Technical deep-dives and industry perspectives from the team building the cognitive infrastructure for AI.
Why every conversation with AI feels like starting over, and how semantic runtime architecture solves the persistent memory challenge that's holding back truly intelligent systems.
Read Full ArticleExploring the intersection of AI, memory, and intelligent systems
Why 73% of enterprise AI projects fail to maintain context across sessions, and what leading companies are doing differently.
Try two identical AI assistants side-by-side — one with Yohanun memory, one without. See the difference context makes.
How ShopSmart built a customer-aware AI assistant that remembers purchase history and preferences, increasing sales by 340%.
The biggest architectural mistake teams make with AI isn't technical—it's conceptual. Why treating LLMs as specialized compute changes everything.
A nuanced look at where traditional MVC patterns work well and where they break down with AI applications, and how cognitive infrastructure fills the gap.
Announcing support for multiple AI providers with unified memory management. Switch models without losing context.
Get insights on memory-powered AI, semantic architecture patterns, and the future of intelligent systems.