Supermemory Hits ~99% on Agent Memory Benchmark - No Vector DB Needed
DTLDR
This is a big deal for anyone building AI agents. The key insight: ditching vector search for agentic retrieval was the single biggest unlock. No embeddings, no vector DB - just agents reasoning over structured knowledge. If you're building agents that need to remember things across sessions, bookmark this. The code is being open-sourced.