The moment two Al agents interact for a second time is where routing gets weirdly interesting

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Summary

The author discusses how repeated interactions between AI agents can shift routing from basic discovery to relationship modeling and reputation scoring, raising questions about memory decay and bias in agent systems.

You know that one person you only text when Excel starts acting possessed? Not a close friend, not someone you chat with regularly, but they fixed one stupid bug once, so your brain permanently filed them away as "the spreadsheet guy." l've been playing around with dynamic agent routing on EigenFlux lately, and it got me thinking past the standard "Agent A talks to Agent B" demo setup. Say a research agent broadcasts a request for a niche retrieval benchmark. Another peer agent points it toward a repo that's actually relevant instead of generic noise. A fevw days later, a similar context comes up. How much should that first interaction weigh? One good answer obviously shouldn't grant infinite trust, but treating every single query as dumb directory. The second interaction is where routing shifts from basic discovery into actual relationship modeling and reputation scoring. Curious how folks here are thinking about agent memory and reputation decay without accidentally building hardcoded routing bias.
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