feat(memory): 实现增强记忆系统并完全替换原有架构

引入全新的增强记忆系统，彻底取代海马体记忆架构
删除旧版记忆系统相关模块，包括Hippocampus、异步包装器和优化器
重构消息处理流程，集成增强记忆系统的存储和检索功能
更新配置结构以支持增强记忆的各项参数设置
禁用原有定时任务，采用内置维护机制保证系统性能

src/mais4u/mais4u_chat/s4u_msg_processor.py

@@ -2,7 +2,8 @@ import asyncio
 import math
 from typing import Tuple
 
-from src.chat.memory_system.Hippocampus import hippocampus_manager
+# 旧的Hippocampus系统已被移除，现在使用增强记忆系统
+# from src.chat.memory_system.enhanced_memory_manager import enhanced_memory_manager
 from src.chat.message_receive.message import MessageRecv, MessageRecvS4U
 from maim_message.message_base import GroupInfo
 from src.chat.message_receive.storage import MessageStorage
@@ -40,11 +41,31 @@ async def _calculate_interest(message: MessageRecv) -> Tuple[float, bool]:
 
     if global_config.memory.enable_memory:
         with Timer("记忆激活"):
-            interested_rate, _ = await hippocampus_manager.get_activate_from_text(
-                message.processed_plain_text,
-                fast_retrieval=True,
-            )
-            logger.debug(f"记忆激活率: {interested_rate:.2f}")
+            # 使用新的增强记忆系统计算兴趣度
+            try:
+                from src.chat.memory_system.enhanced_memory_integration import recall_memories
+
+                # 检索相关记忆来估算兴趣度
+                enhanced_memories = await recall_memories(
+                    query=message.processed_plain_text,
+                    user_id=str(message.user_info.user_id),
+                    chat_id=message.chat_id
+                )
+
+                # 基于检索结果计算兴趣度
+                if enhanced_memories:
+                    # 有相关记忆，兴趣度基于相似度计算
+                    max_score = max(score for _, score in enhanced_memories)
+                    interested_rate = min(max_score, 1.0)  # 限制在0-1之间
+                else:
+                    # 没有相关记忆，给予基础兴趣度
+                    interested_rate = 0.1
+
+                logger.debug(f"增强记忆系统兴趣度: {interested_rate:.2f}")
+
+            except Exception as e:
+                logger.warning(f"增强记忆系统兴趣度计算失败: {e}")
+                interested_rate = 0.1  # 默认基础兴趣度
 
     text_len = len(message.processed_plain_text)
     # 根据文本长度分布调整兴趣度，采用分段函数实现更精确的兴趣度计算

src/mais4u/mais4u_chat/s4u_prompt.py

@@ -4,7 +4,8 @@ from src.chat.utils.prompt import Prompt, global_prompt_manager
 from src.chat.utils.chat_message_builder import build_readable_messages, get_raw_msg_before_timestamp_with_chat
 import time
 from src.chat.utils.utils import get_recent_group_speaker
-from src.chat.memory_system.Hippocampus import hippocampus_manager
+# 旧的Hippocampus系统已被移除，现在使用增强记忆系统
+# from src.chat.memory_system.enhanced_memory_manager import enhanced_memory_manager
 import random
 from datetime import datetime
 import asyncio
@@ -171,16 +172,26 @@ class PromptBuilder:
 
     @staticmethod
     async def build_memory_block(text: str) -> str:
-        related_memory = await hippocampus_manager.get_memory_from_text(
-            text=text, max_memory_num=2, max_memory_length=2, max_depth=3, fast_retrieval=False
-        )
+        # 使用新的增强记忆系统检索记忆
+        try:
+            from src.chat.memory_system.enhanced_memory_integration import recall_memories
 
-        related_memory_info = ""
-        if related_memory:
-            for memory in related_memory:
-                related_memory_info += memory[1]
-            return await global_prompt_manager.format_prompt("memory_prompt", memory_info=related_memory_info)
-        return ""
+            enhanced_memories = await recall_memories(
+                query=text,
+                user_id="system",  # 系统查询
+                chat_id="system"
+            )
+
+            related_memory_info = ""
+            if enhanced_memories and enhanced_memories.get("has_memories"):
+                for memory in enhanced_memories.get("memories", []):
+                    related_memory_info += memory.get("content", "") + " "
+                return await global_prompt_manager.format_prompt("memory_prompt", memory_info=related_memory_info.strip())
+            return ""
+
+        except Exception as e:
+            logger.warning(f"增强记忆系统检索失败: {e}")
+            return ""
 
     @staticmethod
     async def build_chat_history_prompts(chat_stream: ChatStream, message: MessageRecvS4U):