Semantic caching explained: 40-70% token reduction with vector similarity
Agent Brain's semantic cache reuses answers to similar-enough questions instead of paying full token cost every time — here's how the similarity threshold works.
By Agent Software
Scheduled article
This post is scheduled to publish in full on October 19, 2026. The final URL is already live so social previews, search crawlers, and future readers all resolve to the same article.
An exact-match cache misses almost everything useful; a semantic one catches the questions that are close enough to matter.
- Final publish date: October 19, 2026
- Primary categories: Architecture
- Tags: #suite #agent-brain #architecture
In the meantime, the related posts below cover the adjacent product and engineering context this article builds on.
