diff --git a/api/app/celery_app.py b/api/app/celery_app.py
index 727cd041..002547f6 100644
--- a/api/app/celery_app.py
+++ b/api/app/celery_app.py
@@ -7,6 +7,10 @@ from celery import Celery
 
 from app.core.config import settings
 
+# macOS fork() safety - must be set before any Celery initialization
+if platform.system() == 'Darwin':
+    os.environ.setdefault('OBJC_DISABLE_INITIALIZE_FORK_SAFETY', 'YES')
+
 # 创建 Celery 应用实例
 # broker: 任务队列（使用 Redis DB 0）
 # backend: 结果存储（使用 Redis DB 10）
diff --git a/api/app/core/agent/langchain_agent.py b/api/app/core/agent/langchain_agent.py
index 58cf9443..7e0015ae 100644
--- a/api/app/core/agent/langchain_agent.py
+++ b/api/app/core/agent/langchain_agent.py
@@ -151,6 +151,7 @@ class LangChainAgent:
     # TODO: 移到memory module
     async def term_memory_save(self,long_term_messages,actual_config_id,end_user_id,type):
         db = next(get_db())
+        #TODO: 魔法数字
         scope=6
 
         try:
@@ -160,6 +161,12 @@ class LangChainAgent:
 
             from app.core.memory.agent.utils.redis_tool import write_store
             result = write_store.get_session_by_userid(end_user_id)
+            
+            # Handle case where no session exists in Redis (returns False)
+            if not result or result is False:
+                logger.debug(f"No existing session in Redis for user {end_user_id}, skipping short-term memory update")
+                return
+                
             if type=="chunk" or type=="aggregate":
                 data = await format_parsing(result, "dict")
                 chunk_data = data[:scope]
@@ -167,7 +174,14 @@ class LangChainAgent:
                     repo.upsert(end_user_id, chunk_data)
                     logger.info(f'写入短长期：')
             else:
+                # TODO: This branch handles type="time" strategy, currently unused.
+                # Will be activated when time-based long-term storage is implemented.
+                # TODO: 魔法数字 - extract 5 to a constant
                 long_time_data = write_store.find_user_recent_sessions(end_user_id, 5)
+                # Handle case where no session exists in Redis (returns False or empty)
+                if not long_time_data or long_time_data is False:
+                    logger.debug(f"No recent sessions in Redis for user {end_user_id}")
+                    return
                 long_messages = await messages_parse(long_time_data)
                 repo.upsert(end_user_id, long_messages)
                 logger.info(f'写入短长期：')
diff --git a/api/app/core/memory/agent/langgraph_graph/routing/write_router.py b/api/app/core/memory/agent/langgraph_graph/routing/write_router.py
index 6650b9b0..e9de02b6 100644
--- a/api/app/core/memory/agent/langgraph_graph/routing/write_router.py
+++ b/api/app/core/memory/agent/langgraph_graph/routing/write_router.py
@@ -61,6 +61,7 @@ async def window_dialogue(end_user_id,langchain_messages,memory_config,scope):
         scope：窗口大小
     '''
     scope=scope
+    redis_messages = []
     is_end_user_id = count_store.get_sessions_count(end_user_id)
     if is_end_user_id is not False:
         is_end_user_id = count_store.get_sessions_count(end_user_id)[0]
@@ -92,6 +93,9 @@ async def memory_long_term_storage(end_user_id,memory_config,time):
         memory_config: 内存配置对象
     '''
     long_time_data = write_store.find_user_recent_sessions(end_user_id, time)
+    # Handle case where no session exists in Redis (returns False or empty)
+    if not long_time_data or long_time_data is False:
+        return
     format_messages = await chat_data_format(long_time_data)
     if format_messages!=[]:
         await write_messages(end_user_id, format_messages, memory_config)
@@ -109,8 +113,9 @@ async def aggregate_judgment(end_user_id: str, ori_messages: list, memory_config
     try:
         # 1. 获取历史会话数据（使用新方法）
         result = write_store.get_all_sessions_by_end_user_id(end_user_id)
-        history = await format_parsing(result)
-        if not result:
+        
+        # Handle case where no session exists in Redis (returns False or empty)
+        if not result or result is False:
             history = []
         else:
             history = await format_parsing(result)