diff --git a/api/app/core/memory/evaluation/longmemeval/qwen_search_eval.py b/api/app/core/memory/evaluation/longmemeval/qwen_search_eval.py
index 320f9de7..d3577d9e 100644
--- a/api/app/core/memory/evaluation/longmemeval/qwen_search_eval.py
+++ b/api/app/core/memory/evaluation/longmemeval/qwen_search_eval.py
@@ -1009,7 +1009,7 @@ async def run_longmemeval_test(
                         kw_fallback = await search_graph(
                             connector=connector,
                             q=question,
-                            group_id=group_id,
+                            end_user_id=end_user_id,
                             limit=max(search_limit, 5),
                         )
                         fb_dialogs = kw_fallback.get("dialogues", []) or []
@@ -1223,7 +1223,7 @@ async def run_longmemeval_test(
                 "count_avg": statistics.mean(per_query_context_counts) if per_query_context_counts else 0.0,
             },
             "params": {
-                "group_id": group_id,
+                "end_user_id": end_user_id,
                 "search_limit": search_limit,
                 "context_char_budget": context_char_budget,
                 "search_type": search_type,
diff --git a/api/app/core/memory/evaluation/longmemeval/test_eval.py b/api/app/core/memory/evaluation/longmemeval/test_eval.py
index a49d48d0..67bd6ec2 100644
--- a/api/app/core/memory/evaluation/longmemeval/test_eval.py
+++ b/api/app/core/memory/evaluation/longmemeval/test_eval.py
@@ -876,7 +876,7 @@ async def run_longmemeval_test(
                                     opt_res = await search_graph(
                                         connector=connector,
                                         q=str(opt),
-                                        end_user_id=group_id,
+                                        end_user_id=end_user_id,
                                         limit=max(3, search_limit // 2),
                                     )
                                     if isinstance(opt_res, dict):
@@ -971,7 +971,7 @@ async def run_longmemeval_test(
                         kw_fallback = await search_graph(
                             connector=connector,
                             q=question,
-                            group_id=group_id,
+                            end_user_id=end_user_id,
                             limit=max(search_limit, 5),
                         )
                         fb_dialogs = kw_fallback.get("dialogues", []) or []
@@ -1199,7 +1199,7 @@ async def run_longmemeval_test(
                 "count_avg": statistics.mean(per_query_context_counts) if per_query_context_counts else 0.0,
             },
             "params": {
-                "group_id": group_id,
+                "end_user_id": end_user_id,
                 "search_limit": search_limit,
                 "context_char_budget": context_char_budget,
                 "search_type": search_type,
@@ -1278,7 +1278,7 @@ def main():
     result = asyncio.run(
         run_longmemeval_test(
             sample_size=sample_size,
-            group_id=args.group_id,
+            end_user_id=args.end_user_id,
             search_limit=args.search_limit,
             context_char_budget=args.context_char_budget,
             llm_temperature=args.llm_temperature,
diff --git a/api/app/models/memory_config_model.py b/api/app/models/memory_config_model.py
index 710315db..b468e2a2 100644
--- a/api/app/models/memory_config_model.py
+++ b/api/app/models/memory_config_model.py
@@ -17,7 +17,7 @@ class MemoryConfig(Base):
 
     # 组织信息
     workspace_id = Column(UUID(as_uuid=True), nullable=True, comment="工作空间ID")
-    group_id = Column(String, nullable=True, comment="组ID")
+    end_user_id = Column(String, nullable=True, comment="组ID")
     user_id = Column(String, nullable=True, comment="用户ID")
     apply_id = Column(String, nullable=True, comment="应用ID")
 
diff --git a/api/app/repositories/neo4j/memory_summary_repository.py b/api/app/repositories/neo4j/memory_summary_repository.py
index 5fcff41a..d7cd4fd4 100644
--- a/api/app/repositories/neo4j/memory_summary_repository.py
+++ b/api/app/repositories/neo4j/memory_summary_repository.py
@@ -217,14 +217,14 @@ class MemorySummaryRepository(BaseNeo4jRepository):
     
     async def find_by_content_keywords(
         self,
-        group_id: str,
+        end_user_id: str,
         keywords: List[str],
         limit: int = 100
     ) -> List[Dict[str, Any]]:
         """Query memory summaries by content keywords
         
         Args:
-            group_id: Group ID to filter by
+            end_user_id: Group ID to filter by
             keywords: List of keywords to search for in content
             limit: Maximum number of results to return
             
@@ -233,7 +233,7 @@ class MemorySummaryRepository(BaseNeo4jRepository):
         """
         # Build keyword search conditions
         keyword_conditions = []
-        params = {"end_user_id": group_id, "limit": limit}
+        params = {"end_user_id": end_user_id, "limit": limit}
         
         for i, keyword in enumerate(keywords):
             keyword_conditions.append(f"toLower(n.content) CONTAINS toLower($keyword_{i})")
@@ -257,7 +257,7 @@ class MemorySummaryRepository(BaseNeo4jRepository):
         """Get count of memory summaries for a group
         
         Args:
-            group_id: Group ID to count summaries for
+            end_user_id: Group ID to count summaries for
             
         Returns:
             int: Number of memory summaries