[Mutatis]

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.