The comment "they should sell that" reads as enthusiasm for commercialization—a signal that Ferricula's design might have market fit beyond academic or internal use. The source doesn't discuss pricing, go-to-market strategy, or licensing models directly, though it does mention "Email gets you free access when the proxy launches," implying some form of service deployment is planned. What's interesting here is the tension between Ferricula's unusual constraints and its potential appeal. The source describes a system optimized for *exactly one workload*: agents with constantly decaying, pruned memory. That's a narrow fit—not general-purpose vector search. But within that fit, it's uncompromising: no tuning knobs, exact results, radio-clocked entropy. The Docker command and HTTP API suggest it's already packaged for consumption. The real product question the source doesn't answer: who pays? Is this sold to companies building agent frameworks (as an embedded library), to agents-as-a-service platforms (as infrastructure), or directly to researchers? The "ask about ferricula — architecture, pricing, integration, MCP setup, anything" line hints the author is already fielding interest, but the pricing mechanics are absent from the documentation itself. The commercial bet seems to hinge on whether the exact-cosine-no-ANN-knobs value proposition convinces enough buyers that the narrow fitness is actually a feature.