Stop Renting Your AI's Memory — Dylan Couzon, Qdrant
Oct 2, 2026AI Engineer
Summary
This talk by Dylan Couzon from Qdrant argues for owning AI memory, contrasting it with renting inference. It breaks down memory into write, retrieve, and forget operations, emphasizing the superiority of retrieval over simply dumping data into prompts. A live, offline demo showcases a drone building its own searchable memory with sub-millisecond queries in a 15MB footprint using Qdrant Edge. The talk also touches on the CPU/RAM/disk model for LLMs, context, and memory, and introduces the concept of a shared 'hive mind' memory for agents with opt-in consent.
More from the Agent Memory and Harness Engineering trail
- From Context to Memory: Your Agents Need a Real Memory Layer — Anders Swanson, Oracle
- Designing CLIs for Agents, Not Humans — Pedro Lopez, Airbyte
- Building on the Codex Harness — Dominik Kundel, OpenAI
- Stop Prompting — Greg Pstrucha, Sentry
- Brains vs Hands: How to Run AI Agents Safely in Production — Viren Baraiya