| Here's what happens when you run the demo: After mentioning "abel" 4 times with emotional patterns, schema evolution triggers: ════════════════════════════════════════
SCHEMA EVOLUTION TRIGGERED
════════════════════════════════════════
[SHADOW] Creating emotional_love_evolved_shadow...
[BACKFILL] Moving records mentioning 'abel'...
[BACKFILL] Moved 8 records
[SWAP] Executing atomic transaction...
[COMPLETE] Schema evolved successfully Before: SELECT * FROM generic_memories WHERE LIKE '%abel%' (O(N) scan)
After: SELECT * FROM emotional_love_evolved WHERE entity = 'abel' (O(log N) index)
════════════════════════════════════════Query performance:
• Before evolution: 1.25ms (vector scan)
• After evolution: 0.57ms (indexed lookup) Try it yourself:
```bash
cd core && npm install && npm run dev
``` Example session:
```
add I live in Texas
add I love abel
add abel lives with me
add abel loves Texas
add I love abel # ← Evolution triggers here query who is abel?
``` Watch the system detect patterns, track entities, and evolve the schema in real-time. The O(log N) indexed retrieval kicks in automatically after evolution. |