AGENT KB: Revolutionizing AI Problem Solving Through Cross-Domain Learning The Challenge of Modern AI Agents Today’s AI agents can draft emails, analyze data, and even write code. But when faced with novel problems, they often struggle to apply lessons from past experiences—especially across different domains. Imagine an agent that masters chess but can’t transfer those strategic thinking skills to logistics planning. This limitation stems from how AI systems currently store and retrieve knowledge. Enter 「AGENT KB」, a groundbreaking framework that treats AI experiences like a shared knowledge base. This system allows agents to learn from each other’s successes and failures, …