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economicsJune 24, 2026· 4 min read

Five agents asking one question should cost one answer

Multi-agent systems fan out, and they ask overlapping questions constantly. Without a shared cache, that overlap is pure waste, the same answer, bought once per agent.

The moment you go multi-agent, a new cost appears that single-agent apps never see: overlap. Five agents working a problem will independently ask for the same schema, the same policy, the same definition, phrased a little differently each time. Without something in the middle, that's five model calls for one piece of knowledge.

agent fan-out, cached

The first agent pays; the rest reuse the answer for free.

In plain words: Put Crowkis between your agents and the model, and the first agent's answer is instantly available to the rest, by meaning, so the different phrasings still match.

As you add agents, this only gets better. More agents means more overlap, and more overlap means a higher cache hit rate. The architecture that scales your costs the fastest, fan-out, is exactly the one a shared semantic cache tames the best.

The bottom line

In a multi-agent system, shared knowledge should be a shared cost. One answer, reused across the swarm, instead of one bill per agent.