diff --git a/.jules/bolt.md b/.jules/bolt.md
index f1a8c146..81ddfaa6 100644
--- a/.jules/bolt.md
+++ b/.jules/bolt.md
@@ -77,3 +77,7 @@ Optimized metric route processing to O(N) by creating a mapping of routes direct
 ## 2024-07-13 - [Optimize Export Dictionary FK lookups]
 **Learning:** Found O(N * C * E) performance bottleneck in ERD export dictionaries due to repeated array searching with `edges.some()` inside a nested loop over nodes and columns.
 **Action:** Replace repeated linear array scans for edges by precomputing O(1) Set lookups of foreign key column handles per node before looping.
+
+## 2024-07-20 - Avoid Data Object Re-creation in React Flow Nodes during Dragging
+**Learning:** For high-frequency updates like React Flow drag events (60fps), generating new object references for `node.data` on derived state like `visibleNodes` breaks `React.memo` fast paths. This forces costly full re-renders of all nodes and heightens garbage collection pressure.
+**Action:** Use a `WeakMap` keyed by the stable `node.data` reference to cache decorated state modifications (such as search highlights). This preserves object identity across animation frames for fast pointer comparison.
diff --git a/CHANGELOG.md b/CHANGELOG.md
index 519bee6c..f09979dc 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -7,3 +7,6 @@
 - [FE] `autoInfer.ts`에 대한 단위 테스트 및 UI 컴포넌트 단위 테스트를 추가하여 100% 테스트 커버리지를 유지합니다.
 - [FE] ⬇️ **DBML Export**: ERD 다이어그램을 DBML (Database Markup Language) 형식으로 내보낼 수 있는 기능을 추가했습니다. 상단의 DBML 버튼을 클릭하여 다운로드할 수 있습니다.
 - [FE] 📚 **Data Dictionary Export**: ERD 테이블/컬럼 메타데이터를 CSV 및 Markdown으로 내보내며, CSV formula injection과 Markdown 렌더링 escape를 적용했습니다.
+
+### 변경 사항
+- `App.tsx` 파일에서 검색 결과 하이라이트를 위해 재생성되던 파생 상태인 `visibleNodes` 객체 생성을 `WeakMap`을 사용하여 캐싱 처리. React Flow의 노드 드래깅 이벤트 중 렌더링 성능 최적화.
diff --git a/frontend/src/App.tsx b/frontend/src/App.tsx
index 4d0dc258..4e4458f8 100644
--- a/frontend/src/App.tsx
+++ b/frontend/src/App.tsx
@@ -116,6 +116,12 @@ function strengthLabel(strength: CardinalityStrength): string {
   return "보류";
 }
 
+
+const searchDataCache = new WeakMap<
+  TableNodeData,
+  { isHighlighted: boolean; data: TableNodeData }
+>();
+
 export default function App() {
   const [activeView, setActiveView] = useState<WorkspaceView>("dashboard");
   const [me, setMe] = useState<CurrentUser | null>(null);
@@ -201,13 +207,21 @@ export default function App() {
     if (!normalizedNodeSearch) return nodes;
     return nodes.map((node) => {
       const isHighlighted = searchMatchedNodeIds.has(node.id);
+      let cached = searchDataCache.get(node.data);
+      if (!cached || cached.isHighlighted !== isHighlighted) {
+        cached = {
+          isHighlighted,
+          data: {
+            ...node.data,
+            isDimmed: !isHighlighted,
+            isHighlighted,
+          },
+        };
+        searchDataCache.set(node.data, cached);
+      }
       return {
         ...node,
-        data: {
-          ...node.data,
-          isDimmed: !isHighlighted,
-          isHighlighted,
-        },
+        data: cached.data,
       };
     });
   }, [nodes, normalizedNodeSearch, searchMatchedNodeIds]);