better:海马体2.0升级，进度 60%，炸了别怪我

src/plugins/chat/bot.py

@@ -129,9 +129,9 @@ class ChatBot:
 
         # 根据话题计算激活度
         topic = ""
-        # interested_rate = await HippocampusManager.get_instance().memory_activate_value(message.processed_plain_text) / 100
-        interested_rate = 0.1
-        logger.debug(f"对{message.processed_plain_text}的激活度:{interested_rate}")
+        interested_rate = await HippocampusManager.get_instance().get_activate_from_text(message.processed_plain_text)
+        # interested_rate = 0.1
+        logger.info(f"对{message.processed_plain_text}的激活度:{interested_rate}")
         # logger.info(f"\033[1;32m[主题识别]\033[0m 使用{global_config.topic_extract}主题: {topic}")
 
         await self.storage.store_message(message, chat, topic[0] if topic else None)

src/plugins/chat/prompt_builder.py

@@ -80,10 +80,15 @@ class PromptBuilder:
 
         # 调用 hippocampus 的 get_relevant_memories 方法
         relevant_memories = await HippocampusManager.get_instance().get_memory_from_text(
-            text=message_txt, num=3, max_depth=2, fast_retrieval=True
+            text=message_txt,
+            max_memory_num=4,
+            max_memory_length=2,
+            max_depth=3,
+            fast_retrieval=False
         )
-        # memory_str = "\n".join(memory for topic, memories, _ in relevant_memories for memory in memories)
         memory_str = ""
+        for topic, memories in relevant_memories:
+            memory_str += f"{memories}\n"
         print(f"memory_str: {memory_str}")
 
         if relevant_memories: