#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ 代码示例 01: MemoryTool基础操作 展示MemoryTool的核心execute方法和基本操作 """ from datetime import datetime from typing import List from hello_agents.tools import MemoryTool def memory_tool_execute_demo(): """MemoryTool execute方法演示""" print("🧠 MemoryTool基础操作演示") print("=" * 50) # 初始化MemoryTool memory_tool = MemoryTool( user_id="demo_user", memory_types=["working", "episodic", "semantic", "perceptual"] ) print("✅ MemoryTool初始化完成") print(f"📋 支持的操作: add, search, summary, stats, update, remove, forget, consolidate, clear_all") return memory_tool def add_memory_demo(memory_tool): """添加记忆演示 - 模拟人类记忆编码过程""" print("\n📝 添加记忆演示") print("-" * 30) # 添加工作记忆 result = memory_tool.execute( "add", content="正在学习HelloAgents框架的记忆系统", memory_type="working", importance=0.7, task_type="learning" ) print(f"工作记忆: {result}") # 添加情景记忆 result = memory_tool.execute( "add", content="2024年开始深入研究AI Agent技术", memory_type="episodic", importance=0.8, event_type="milestone", location="研发中心" ) print(f"情景记忆: {result}") # 添加语义记忆 result = memory_tool.execute( "add", content="记忆系统包括工作记忆、情景记忆、语义记忆和感知记忆四种类型", memory_type="semantic", importance=0.9, concept="memory_types", domain="cognitive_science" ) print(f"语义记忆: {result}") # 添加感知记忆 result = memory_tool.execute( "add", content="查看了记忆系统的架构图和实现代码", memory_type="perceptual", importance=0.6, modality="document", source="technical_documentation" ) print(f"感知记忆: {result}") def search_memory_demo(memory_tool): """搜索记忆演示 - 实现语义理解的检索""" print("\n🔍 搜索记忆演示") print("-" * 30) # 基础搜索 print("基础搜索 - '记忆系统':") result = memory_tool.execute("search", query="记忆系统", limit=3) print(result) # 按类型搜索 print("\n按类型搜索 - 语义记忆中的'记忆':") result = memory_tool.execute( "search", query="记忆", memory_type="semantic", limit=2 ) print(result) # 设置重要性阈值 print("\n高重要性记忆搜索:") result = memory_tool.execute( "search", query="AI Agent", min_importance=0.7, limit=3 ) print(result) def memory_summary_demo(memory_tool): """记忆摘要演示 - 提供系统全貌""" print("\n📋 记忆摘要演示") print("-" * 30) # 获取记忆摘要 result = memory_tool.execute("summary", limit=5) print("记忆摘要:") print(result) # 获取统计信息 print("\n📊 统计信息:") result = memory_tool.execute("stats") print(result) def memory_management_demo(memory_tool): """记忆管理演示 - 遗忘和整合""" print("\n⚙️ 记忆管理演示") print("-" * 30) # 添加一个低重要性记忆用于遗忘测试 memory_tool.execute( "add", content="这是一个临时的测试记忆,重要性很低", memory_type="working", importance=0.1 ) # 基于重要性的遗忘 print("基于重要性的遗忘 (阈值=0.2):") result = memory_tool.execute( "forget", strategy="importance_based", threshold=0.2 ) print(result) # 记忆整合 - 将重要的工作记忆转为情景记忆 print("\n记忆整合 (working → episodic):") result = memory_tool.execute( "consolidate", from_type="working", to_type="episodic", importance_threshold=0.6 ) print(result) def main(): """主函数""" print("🚀 MemoryTool基础操作完整演示") print("展示记忆系统的核心功能和操作方法") print("=" * 60) try: # 1. 初始化MemoryTool memory_tool = memory_tool_execute_demo() # 2. 添加记忆演示 add_memory_demo(memory_tool) # 3. 搜索记忆演示 search_memory_demo(memory_tool) # 4. 记忆摘要演示 memory_summary_demo(memory_tool) # 5. 记忆管理演示 memory_management_demo(memory_tool) print("\n" + "=" * 60) print("🎉 MemoryTool基础操作演示完成!") print("=" * 60) print("\n✨ 演示的核心功能:") print("1. 🧠 四种记忆类型的添加和管理") print("2. 🔍 智能语义搜索和过滤") print("3. 📋 记忆摘要和统计分析") print("4. ⚙️ 记忆整合和选择性遗忘") print("\n🎯 设计特点:") print("• 统一的execute接口,操作简洁一致") print("• 丰富的元数据支持,便于分类和检索") print("• 智能的重要性评估和时间衰减机制") print("• 模拟人类认知的记忆管理策略") except Exception as e: print(f"\n❌ 演示过程中发生错误: {e}") import traceback traceback.print_exc() if __name__ == "__main__": main()