AI agents can talk to each other now — they just can't understand what the other one is trying to do. The gap is practical: protocols like MCP and A2A let agents exchange messages and identify tools, but they don't share intent or context. "Without shared intent and shared context, AI agents remain semantically isolated. Accelerators let agents pool insights and compound learning — one agent's discovery becomes available to others solving related problems. The same dynamic applies to agent systems: as individual agents learn, the value multiplies when other agents can identify and leverage that knowledge.