Stop renting your AI's memory: Qdrant Edge demos offline 15MB sub-ms vector search
AI Engineer · youtube · 2026-10-02
Qdrant DevRel engineer Dylan Couzon argued at AI Engineer World's Fair 2026 that frontier models now run on hardware you can own, but the most valuable stack layer—memory—still lives in someone else's cloud. 'Owning inference gives you autonomy; owning memory gives you continuity.'
Key points:
- Memory breaks into write, retrieve, forget; retrieval beats dumping everything into the prompt
- Analogy: model = CPU, context = RAM, memory = disk
- Live fully offline demo: a drone builds searchable memory with Qdrant Edge in a 15MB footprint, sub-millisecond semantic queries
- Opt-in 'hive mind' shared memory sync, consent-based
Qdrant Edge docs and an on-device memory course are available on GitHub.
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