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所在平台: Udemy |
课程主页: https://www.udemy.com/course/ai-agents-memory/
课程评论：没有评论
**课程名称：** 使用内存构建AI Agent - 完全指南 **课程概述：** 本课程专为开发者和AI爱好者设计，旨在教授如何使用LangChain、LangGraph、Mem0和Supabase来构建具备记忆功能的AI Agent。你将深入了解记忆如何将基础Agent转化为智能、具有上下文感知的系统。 课程的起点是分析一个没有记忆的简单AI Agent的局限性，例如容易忘记用户交互、提供重复性回答和糟糕的用户体验。随后，课程将介绍LangMem和LangGraph这两个强大的工具，它们能够实现Agent的长期记忆和持续改进。 **课程要点：** * **AI Agent基础：** 理解AI Agent的基本概念及记忆在提升Agent智能方面的重要作用。 * **记忆类型：** 学习短期记忆、长期记忆和情景记忆，以及它们如何增强Agent的能力。 * **LangGraph与LangMem：** 掌握使用这些工具来轻松管理对话和用户记忆。 * **Mem0与Supabase集成：** 实现长时记忆的集成。 * **实践项目：** 构建一个具备记忆功能的AI Agent，并进行实时测试，观察其如何记住用户偏好和交互。 * **实际应用：** 学习将Agent应用于聊天机器人、客服Agent和任务助手等实际场景。 **目标学员：** * 希望为其AI Agent添加记忆功能的开发者。 * 对LangChain和LangGraph感兴趣的AI爱好者。 * 具备Python和API基础知识，希望构建更智能AI系统的初学者。 **课程收获：** 完成课程后，你将能够创建具备学习、适应和深度用户交互能力的AI Agent。无论你是构建客户支持机器人、虚拟助手还是智能工具，本课程都将赋能你将AI Agent提升到新的水平。 **立即加入，学习如何构建能够响应、记忆、适应并持续改进的AI Agent！**
Unlock the power of AI agents with memory in this hands-on course designed for developers and AI enthusiasts! You'll dive deep into the essentials of building memory-enabled AI agents using LangChain, LangGraph, and LangMem, Mem0 and Supabase. You'll learn how memory transforms basic agents into intelligent, context-aware systems.You'll start by exploring a simple AI agent without memory and uncover its pitfalls-forgetting user interactions, offering repetitive answers, and providing poor user experiences. Then, we'll move on to introduce LangMem and LangGraph, two powerful tools that bring memory to the forefront, allowing your agent to remember and improve interactions over time.What You'll Learn:AI Agents Basics: Understand the fundamentals of AI agents and how memory plays a crucial role in making them smarter.Memory Types: Explore short-term, long-term, and episodic memory, and see how they enhance your agents.LangGraph and LangMem: Master these tools to manage conversational and user memory with ease.Mem0 and Supabase Integrations for Long Term MemoryHands-on Project: Build your own AI agent with memory, test it live, and see memory in action as your agent remembers user preferences and interactions.Real-World Application: Learn how to implement your agent in practical scenarios such as chatbots, support agents, and task assistants.Who This Course is For:Developers who want to add memory to their AI agents.AI enthusiasts keen to dive into LangChain and LangGraph.Beginners with a basic understanding of Python and APIs who want to build smarter AI systems.By the end of this course, you'll be able to create memory-enabled AI agents that learn, adapt, and engage with users like never before. Whether you're building customer support bots, virtual assistants, or intelligent tools, this course will equip you with the skills to take your AI agents to the next level.Join now and learn how to build AI agents that not only respond but remember, adapt, and improve over time!
