""" 记忆系统插件 — 包装 xcli_core/memory.py 中的 MemoryManager 使 AI 可以通过工具接口读写日记、搜索记忆、管理聊天记录 """ import os import sys # 添加项目根目录到 path current_dir = os.path.dirname(os.path.abspath(__file__)) project_root = os.path.dirname(current_dir) sys.path.insert(0, project_root) from xcli_core.memory import MemoryManager class Plugin: """持久化记忆系统 — AI 可写日记、搜索记忆、管理聊天记录""" def __init__(self): self.cli = None self.memory = None self.usage = """持久化记忆系统工具 操作: diary <内容> - 写当日日记 diary_ai <内容> - AI 写观察日记(标记为 AI 观察) remember <内容> - 记录到长期记忆 (MEMORY.md) search <关键词> - 全局搜索(日记+记忆+聊天记录) context - 查看当前注入的记忆上下文 diary_list - 列出所有日记文件 diary_read <日期> - 读取指定日期的日记(如 2026-04-27) chat_list - 列出最近的聊天记录 chat_search <关键词> - 在聊天记录中搜索 memory_read - 读取 MEMORY.md 长期记忆 memory_write <内容> - 写入 MEMORY.md(追加) JSON 格式示例: {"action": "use_tool", "tool": "memory_plugin", "args": "diary 今天完成了API对接"} {"action": "use_tool", "tool": "memory_plugin", "args": "search 定时任务"} {"action": "use_tool", "tool": "memory_plugin", "args": "remember 用户偏好深色主题"} """ def set_cli(self, cli): self.cli = cli # 初始化 MemoryManager project_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) self.memory = MemoryManager(project_dir) # 挂载到 cli 实例上,让 cli_core.py 能访问 cli.memory_manager = self.memory def get_tool_info(self): return { "name": "memory_plugin", "description": "持久化记忆系统 — AI 可写日记、记录长期记忆、搜索历史对话和日记。支持自动压缩上下文。", "keywords": ["记忆", "memory", "日记", "diary", "搜索", "search", "历史", "history", "remember", "聊天记录", "chat", "上下文", "context", "压缩", "compress"], "usage": self.usage } def handle(self, args: str) -> str: if not self.memory: return "错误:记忆系统未初始化" if not args or not args.strip(): return self._help() parts = args.strip().split(None, 1) action = parts[0].lower() rest = parts[1].strip() if len(parts) > 1 else "" handlers = { "diary": self._diary, "diary_ai": self._diary_ai, "remember": self._remember, "search": self._search, "context": self._context, "diary_list": self._diary_list, "diary_read": self._diary_read, "chat_list": self._chat_list, "chat_search": self._chat_search, "memory_read": self._memory_read, "memory_write": self._memory_write, "help": lambda _: self._help(), } handler = handlers.get(action) if not handler: return f"未知操作: {action}\n" + self._help() return handler(rest) def _diary(self, content: str) -> str: if not content: return "错误:请提供日记内容\n用法: diary <内容>" self.memory.write_diary(content) return f" 日记已写入 {self.memory._today_file()}" def _diary_ai(self, content: str) -> str: if not content: return "错误:请提供 AI 观察内容\n用法: diary_ai <内容>" self.memory.write_ai_diary(content) return f" AI 观察日记已写入" def _remember(self, content: str) -> str: if not content: return "错误:请提供要记住的内容\n用法: remember <内容>" self.memory.append_memory("备忘", f"- {content}") return f" 已记录到 MEMORY.md 长期记忆" def _search(self, keyword: str) -> str: if not keyword: return "错误:请提供搜索关键词\n用法: search <关键词>" results = self.memory.search_memory(keyword) if not results: return f" 未找到与 '{keyword}' 相关的记忆" lines = [f" 搜索 '{keyword}' 的结果 ({len(results)} 条):"] for r in results: source = r.get("source", "") snippet = r.get("snippet", "") role = r.get("role", "") line_num = r.get("line", "") prefix = f"[{role}] " if role else "" line_info = f" (L{line_num})" if line_num else "" lines.append(f" {source}{line_info}: {prefix}{snippet}") return "\n".join(lines) def _context(self, _: str) -> str: ctx = self.memory.build_memory_context() return ctx if ctx else " 当前没有记忆上下文" def _diary_list(self, _: str) -> str: files = self.memory.list_diary_files() if not files: return " 还没有日记文件" return " 日记文件:\n" + "\n".join(f" {f}" for f in files[:20]) def _diary_read(self, date_str: str) -> str: if not date_str: return "错误:请提供日期\n用法: diary_read <日期,如 2026-04-27>" content = self.memory.load_diary(date_str) return content if content else f" 没有找到 {date_str} 的日记" def _chat_list(self, _: str) -> str: chats = self.memory.list_chats() if not chats: return " 没有保存的聊天记录" lines = [" 最近的聊天记录:"] for c in chats: lines.append(f" {c['name']} ({c['time']}, {c['size_kb']}KB)") return "\n".join(lines) def _chat_search(self, keyword: str) -> str: if not keyword: return "错误:请提供关键词\n用法: chat_search <关键词>" results = self.memory.search_chats(keyword) if not results: return f" 未在聊天记录中找到 '{keyword}'" lines = [f" 聊天记录搜索 '{keyword}':"] for r in results: lines.append(f" {r['file']} [{r['role']}]: {r['snippet']}") return "\n".join(lines) def _memory_read(self, _: str) -> str: content = self.memory.load_memory() return content if content else " MEMORY.md 为空" def _memory_write(self, content: str) -> str: if not content: return "错误:请提供内容\n用法: memory_write <内容>" self.memory.append_memory("备忘", f"- {content}") return f" 已写入 MEMORY.md" def _help(self) -> str: return """ 记忆系统用法: diary <内容> - 写当日日记 diary_ai <内容> - AI 写观察日记 remember <内容> - 记到长期记忆 (MEMORY.md) search <关键词> - 全局搜索记忆 context - 查看记忆上下文 diary_list - 列出日记 diary_read <日期> - 读取日记 chat_list - 列出聊天记录 chat_search <关键词> - 搜索聊天记录 memory_read - 读取 MEMORY.md memory_write <内容> - 写入 MEMORY.md"""