Every query starts from zero
Knowledge accumulates over time
Our Living Wiki currently contains:
Karpathy's wiki accumulates knowledge. Our extension generates testable hypotheses. The wiki doesn't just record what worked — it thinks about what to try next and sends instructions to the Darwin Engine.
Three layers beyond Karpathy's v1.0:
Strategy Arena transitioned from classic RAG to a Living Wiki pattern following Andrej Karpathy's April 2026 insight. Classic RAG (Retrieval Augmented Generation) searches a vector database on every query, rediscovering information from scratch each time. The Living Wiki pattern compiles raw data into structured Markdown documents that accumulate intelligence over time. Strategy Arena's implementation adds graph-augmented retrieval (inspired by LightRAG), decay + consolidation (inspired by elfmem), and a Meta-Harness agent that optimizes the wiki compiler itself. The result: 2,500+ experiments compiled into actionable lessons, connected through a Knowledge Graph of 121 AI nodes. This is not theoretical — it runs in production every night on 59 live AI trading strategies.