better：优化记忆提取功能

src/heart_flow/heartflow.py

@@ -96,7 +96,7 @@ class Heartflow:
                 continue
 
             await self.do_a_thinking()
-            await asyncio.sleep(global_config.heart_flow_update_interval)  # 5分钟思考一次
+            await asyncio.sleep(global_config.heart_flow_update_interval * 3)  # 5分钟思考一次
 
     async def heartflow_start_working(self):
         # 启动清理任务
@@ -110,7 +110,7 @@ class Heartflow:
         print("TODO")
 
     async def do_a_thinking(self):
-        logger.debug("麦麦大脑袋转起来了")
+        # logger.debug("麦麦大脑袋转起来了")
         self.current_state.update_current_state_info()
 
         # 开始构建prompt

src/heart_flow/observation.py

@@ -139,7 +139,7 @@ class ChattingObservation(Observation):
         #     traceback.print_exc()  # 记录详细堆栈
         # print(f"处理后self.talking_message：{self.talking_message}")
 
-        self.talking_message_str = await build_readable_messages(self.talking_message)
+        self.talking_message_str = await build_readable_messages(messages=self.talking_message, timestamp_mode="normal")
 
         logger.trace(
             f"Chat {self.chat_id} - 压缩早期记忆：{self.mid_memory_info}\n现在聊天内容：{self.talking_message_str}"

src/plugins/chat_module/heartFC_chat/messagesender.py

@@ -220,9 +220,8 @@ class MessageManager:
                 await asyncio.sleep(typing_time)
                 logger.debug(f"\n{message_earliest.processed_plain_text},{typing_time},等待输入时间结束\n")
 
-                await self.storage.store_message(message_earliest, message_earliest.chat_stream)
-
                 await MessageSender().send_message(message_earliest)
+                await self.storage.store_message(message_earliest, message_earliest.chat_stream)
 
                 container.remove_message(message_earliest)
 

src/plugins/memory_system/Hippocampus.py

@@ -1946,15 +1946,14 @@ class HippocampusManager:
         valid_keywords: list[str],
         max_memory_num: int = 3,
         max_memory_length: int = 2,
-        max_depth: int = 3,
-        fast_retrieval: bool = False,
+        max_depth: int = 3
     ) -> list:
         """从文本中获取相关记忆的公共接口"""
         if not self._initialized:
             raise RuntimeError("HippocampusManager 尚未初始化，请先调用 initialize 方法")
         try:
             response = await self._hippocampus.get_memory_from_topic(
-                valid_keywords, max_memory_num, max_memory_length, max_depth, fast_retrieval
+                valid_keywords, max_memory_num, max_memory_length, max_depth
             )
         except Exception as e:
             logger.error(f"文本激活记忆失败: {e}")

template/bot_config_template.toml

@@ -1,5 +1,5 @@
 [inner]
-version = "1.3.1"
+version = "1.4.0"
 
 
 #以下是给开发人员阅读的，一般用户不需要阅读