Your AI Agent Probably Doesn't Need a Vector Database

This is a submission for the Hermes Agent Challenge: Write About Hermes Agent

Your AI Agent Probably Doesn't Need a Vector Database

There's a reflex in agent-building right now. You decide your agent should "remember things," and within ten minutes you're comparing managed vector-DB tiers, picking an embedding model, and quietly arguing with yourself about chunk size and overlap.

Hermes Agent — one of the more capable open agents you can run yourself — skips all of that for its long-term memory. It remembers past sessions with SQLite and full-text search. No embeddings. No vector index. No cosine-similarity threshold to babysit.

The first time I noticed this, I assumed it was a placeholder. The thing you rip out before you're serious. The longer I sat with it, the more it looked like the serious choice, and the reflex looked like the placeholder.