World Model as a Service: Infrastructure AI Agents Are Missing

World Model as a Service: The Missing Infrastructure Layer for AI Agents Every serious AI agent needs three things: persistent memory, safety validation, and trusted identity. Here's why this should be infrastructure, not something you build from scratch. The Core Problem When a session ends, everything the agent learned disappears. Context windows are caches. Even 200K tokens isn't enough for a project that runs for weeks. Retrieval-augmented generation helps for documents. It doesn't help for: "Has this action already been taken?" (deduplication) "Who authorized this instruction?" (authority chain) "What led to this outcome?" (causal graph traversal) These require structured memory, not fuzzy similarity. The Graph-Native Solution ODEI's world model uses Neo4j with a 6-layer semantic ontology: FOUNDATION — Identity, values, governance (25 nodes) VISION — Long-term goals (12 nodes) STRATEGY — Active plans (16 nodes) TACTICS — Current tasks (8 nodes) EXECUTION — In-progress work (11 nod