update 5K star!

README.md

@@ -45,40 +45,40 @@
 
 ## 📖 内容导航
 
-| 章节 | 关键内容 | 状态 |
-| --- | --- | --- |
-| [前言](./docs/前言.md) | 项目的缘起、背景及读者建议 | ✅ |
-| <strong>第一部分：智能体与语言模型基础</strong> |  |  |
-| [第一章 初识智能体](./docs/chapter1/第一章%20初识智能体.md) | 智能体定义、类型、范式与应用 | ✅ |
-| [第二章 智能体发展史](./docs/chapter2/第二章%20智能体发展史.md) | 从符号主义到 LLM 驱动的智能体演进 | ✅ |
-| [第三章 大语言模型基础](./docs/chapter3/第三章%20大语言模型基础.md) | Transformer、提示、主流 LLM 及其局限 | ✅ |
-| <strong>第二部分：构建你的大语言模型智能体</strong> |  |  |
-| [第四章 智能体经典范式构建](./docs/chapter4/第四章%20智能体经典范式构建.md) | 手把手实现 ReAct、Plan-and-Solve、Reflection | ✅ |
-| [第五章 基于低代码平台的智能体搭建](./docs/chapter5/第五章%20基于低代码平台的智能体搭建.md) | 了解 Coze、Dify、n8n 等低代码智能体平台使用 | ✅ |
-| [第六章 框架开发实践](./docs/chapter6/第六章%20框架开发实践.md) | AutoGen、AgentScope、LangGraph 等主流框架应用 | ✅ |
-| [第七章 构建你的Agent框架](./docs/chapter7/第七章%20构建你的Agent框架.md) | 从 0 开始构建智能体框架 | ✅ |
-| <strong>第三部分：高级知识扩展</strong> |  |  |
-| [第八章 记忆与检索](./docs/chapter8/第八章%20记忆与检索.md) | 记忆系统，RAG，存储 | ✅ |
-| [第九章 上下文工程](./docs/chapter9/第九章%20上下文工程.md) | 持续交互的"情境理解" | ✅ |
-| [第十章 智能体通信协议](./docs/chapter10/第十章%20智能体通信协议.md) | MCP、A2A、ANP 等协议解析 | ✅ |
-| [第十一章 Agentic-RL](./docs/chapter11/第十一章%20Agentic-RL.md) | 从 SFT 到 GRPO 的 LLM 训练实战 | ✅ |
-| [第十二章 智能体性能评估](./docs/chapter12/第十二章%20智能体性能评估.md) | 核心指标、基准测试与评估框架 | ✅ |
-| <strong>第四部分：综合案例进阶</strong> |  |  |
-| [第十三章 智能旅行助手](./docs/chapter13/第十三章%20智能旅行助手.md) | MCP 与多智能体协作的真实世界应用 | ✅ |
-| [第十四章 自动化深度研究智能体](./docs/chapter14/第十四章%20自动化深度研究智能体.md) | DeepResearch Agent 复现与解析 | ✅ |
-| [第十五章 构建赛博小镇](./docs/chapter15/第十五章%20构建赛博小镇.md) | Agent 与游戏的结合，模拟社会动态 | ✅ |
-| <strong>第五部分：毕业设计及未来展望</strong> |  |  |
-| [第十六章 毕业设计](./docs/chapter16/第十六章%20毕业设计.md) | 构建属于你的完整多智能体应用 | ✅ |
+| 章节                                                                                        | 关键内容                                      | 状态 |
+| ------------------------------------------------------------------------------------------- | --------------------------------------------- | ---- |
+| [前言](./docs/前言.md)                                                                      | 项目的缘起、背景及读者建议                    | ✅    |
+| <strong>第一部分：智能体与语言模型基础</strong>                                             |                                               |      |
+| [第一章 初识智能体](./docs/chapter1/第一章%20初识智能体.md)                                 | 智能体定义、类型、范式与应用                  | ✅    |
+| [第二章 智能体发展史](./docs/chapter2/第二章%20智能体发展史.md)                             | 从符号主义到 LLM 驱动的智能体演进             | ✅    |
+| [第三章 大语言模型基础](./docs/chapter3/第三章%20大语言模型基础.md)                         | Transformer、提示、主流 LLM 及其局限          | ✅    |
+| <strong>第二部分：构建你的大语言模型智能体</strong>                                         |                                               |      |
+| [第四章 智能体经典范式构建](./docs/chapter4/第四章%20智能体经典范式构建.md)                 | 手把手实现 ReAct、Plan-and-Solve、Reflection  | ✅    |
+| [第五章 基于低代码平台的智能体搭建](./docs/chapter5/第五章%20基于低代码平台的智能体搭建.md) | 了解 Coze、Dify、n8n 等低代码智能体平台使用   | ✅    |
+| [第六章 框架开发实践](./docs/chapter6/第六章%20框架开发实践.md)                             | AutoGen、AgentScope、LangGraph 等主流框架应用 | ✅    |
+| [第七章 构建你的Agent框架](./docs/chapter7/第七章%20构建你的Agent框架.md)                   | 从 0 开始构建智能体框架                       | ✅    |
+| <strong>第三部分：高级知识扩展</strong>                                                     |                                               |      |
+| [第八章 记忆与检索](./docs/chapter8/第八章%20记忆与检索.md)                                 | 记忆系统，RAG，存储                           | ✅    |
+| [第九章 上下文工程](./docs/chapter9/第九章%20上下文工程.md)                                 | 持续交互的"情境理解"                          | ✅    |
+| [第十章 智能体通信协议](./docs/chapter10/第十章%20智能体通信协议.md)                        | MCP、A2A、ANP 等协议解析                      | ✅    |
+| [第十一章 Agentic-RL](./docs/chapter11/第十一章%20Agentic-RL.md)                            | 从 SFT 到 GRPO 的 LLM 训练实战                | ✅    |
+| [第十二章 智能体性能评估](./docs/chapter12/第十二章%20智能体性能评估.md)                    | 核心指标、基准测试与评估框架                  | ✅    |
+| <strong>第四部分：综合案例进阶</strong>                                                     |                                               |      |
+| [第十三章 智能旅行助手](./docs/chapter13/第十三章%20智能旅行助手.md)                        | MCP 与多智能体协作的真实世界应用              | ✅    |
+| [第十四章 自动化深度研究智能体](./docs/chapter14/第十四章%20自动化深度研究智能体.md)        | DeepResearch Agent 复现与解析                 | ✅    |
+| [第十五章 构建赛博小镇](./docs/chapter15/第十五章%20构建赛博小镇.md)                        | Agent 与游戏的结合，模拟社会动态              | ✅    |
+| <strong>第五部分：毕业设计及未来展望</strong>                                               |                                               |      |
+| [第十六章 毕业设计](./docs/chapter16/第十六章%20毕业设计.md)                                | 构建属于你的完整多智能体应用                  | ✅    |
 
 ### 社区贡献精选 (Community Blog)
 
 &emsp;&emsp;欢迎大家将在学习 Hello-Agents 或 Agent 相关技术中的独到见解、实践总结，以 PR 的形式贡献到社区精选。如果是独立于正文的内容，也可以投稿至 Extra-Chapter！<strong>期待你的第一次贡献！</strong>
 
-| 社区精选 | 内容总结 |
-| --- | --- |
-| [01-Agent面试题总结](https://github.com/datawhalechina/hello-agents/blob/main/Extra-Chapter/Extra01-面试问题总结.md) | Agent 岗位相关面试问题 |
-| [01-Agent面试题答案](https://github.com/datawhalechina/hello-agents/blob/main/Extra-Chapter/Extra01-参考答案.md) | 相关面试问题答案 |
-| [02-上下文工程内容补充](https://github.com/datawhalechina/hello-agents/blob/main/Extra-Chapter/Extra02-上下文工程补充知识.md) | 上下文工程内容扩展 |
+| 社区精选                                                                                                                                      | 内容总结                 |
+| --------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------ |
+| [01-Agent面试题总结](https://github.com/datawhalechina/hello-agents/blob/main/Extra-Chapter/Extra01-面试问题总结.md)                          | Agent 岗位相关面试问题   |
+| [01-Agent面试题答案](https://github.com/datawhalechina/hello-agents/blob/main/Extra-Chapter/Extra01-参考答案.md)                              | 相关面试问题答案         |
+| [02-上下文工程内容补充](https://github.com/datawhalechina/hello-agents/blob/main/Extra-Chapter/Extra02-上下文工程补充知识.md)                 | 上下文工程内容扩展       |
 | [03-Dify智能体创建保姆级教程](https://github.com/datawhalechina/hello-agents/blob/main/Extra-Chapter/Extra03-Dify智能体创建保姆级操作流程.md) | Dify智能体创建保姆级教程 |
 
 ### PDF 版本下载
@@ -152,7 +152,7 @@
 ## Star History
 
 <div align='center'>
-    <img src="./docs/images/star-history-20251117.png" alt="Datawhale" width="90%">
+    <img src="./docs/images/star-history-20251130.png" alt="Datawhale" width="90%">
 </div>
 
 <div align="center">

README_EN.md

@@ -45,41 +45,41 @@ If you wish to read locally or contribute content, please refer to the learning
 
 ## 📖 Content Navigation
 
-| Chapter | Key Content | Status |
-| --- | --- | --- |
-| [Preface](./docs/Preface.md) | Project origin, background, and reader suggestions | ✅ |
-| **Part 1: Agent and Language Model Fundamentals** |  |  |
-| [Chapter 1: Introduction to Agents](./docs/chapter1/Chapter1-Introduction-to-Agents.md) | Agent definition, types, paradigms, and applications | ✅ |
-| [Chapter 2: History of Agents](./docs/chapter2/Chapter2-History-of-Agents.md) | Evolution from symbolism to LLM-driven agents | ✅ |
-| [Chapter 3: Large Language Model Fundamentals](./docs/chapter3/Chapter3-Fundamentals-of-Large-Language-Models.md) | Transformer, prompts, mainstream LLMs and their limitations | ✅ |
-| **Part 2: Building Your LLM Agent** |  |  |
-| [Chapter 4: Classic Agent Paradigm Construction](./docs/chapter4/Chapter4-Building-Classic-Agent-Paradigms.md) | Hands-on implementation of ReAct, Plan-and-Solve, Reflection | ✅ |
-| [Chapter 5: Low-Code Platform Agent Development](./docs/chapter5/Chapter5-Building-Agents-with-Low-Code-Platforms.md) | Understanding Coze, Dify, n8n and other low-code agent platforms | ✅ |
-| [Chapter 6: Framework Development Practice](./docs/chapter6/Chapter6-Framework-Development-Practice.md) | AutoGen, AgentScope, LangGraph and other mainstream framework applications | ✅ |
-| [Chapter 7: Building Your Agent Framework](./docs/chapter7/Chapter7-Building-Your-Agent-Framework.md) | Building an agent framework from scratch | ✅ |
-| **Part 3: Advanced Knowledge Extension** |  |  |
-| [Chapter 8: Memory and Retrieval](./docs/chapter8/Chapter8-Memory-and-Retrieval.md) | Memory systems, RAG, storage | ✅ |
-| [Chapter 9: Context Engineering](./docs/chapter9/Chapter9-Context-Engineering.md) | "Contextual understanding" for continuous interaction | ✅ |
-| [Chapter 10: Agent Communication Protocols](./docs/chapter10/Chapter10-Agent-Communication-Protocols.md) | MCP, A2A, ANP and other protocol analysis | ✅ |
-| [Chapter 11: Agentic-RL](./docs/chapter11/Chapter11-Agentic-RL.md) | Practical LLM training from SFT to GRPO | ✅ |
-| [Chapter 12: Agent Performance Evaluation](./docs/chapter12/Chapter12-Agent-Performance-Evaluation.md) | Core metrics, benchmarks, and evaluation frameworks | ✅ |
-| **Part 4: Comprehensive Case Studies** |  |  |
-| [Chapter 13: Intelligent Travel Assistant](./docs/chapter13/Chapter13-Intelligent-Travel-Assistant.md) | Real-world applications of MCP and multi-agent collaboration | ✅ |
-| [Chapter 14: Automated Deep Research Agent](./docs/chapter14/Chapter14-Automated-Deep-Research-Agent.md) | DeepResearch Agent reproduction and analysis | ✅ |
-| [Chapter 15: Building a Cyber Town](./docs/chapter15/Chapter15-Building-Cyber-Town.md) | Combining agents with games, simulating social dynamics | ✅ |
-| **Part 5: Capstone Project and Future Outlook** |  |  |
-| [Chapter 16: Capstone Project](./docs/chapter16/Chapter16-Graduation-Project.md) | Build your own complete multi-agent application | ✅ |
+| Chapter                                                                                                               | Key Content                                                                | Status |
+| --------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------- | ------ |
+| [Preface](./docs/Preface.md)                                                                                          | Project origin, background, and reader suggestions                         | ✅      |
+| **Part 1: Agent and Language Model Fundamentals**                                                                     |                                                                            |        |
+| [Chapter 1: Introduction to Agents](./docs/chapter1/Chapter1-Introduction-to-Agents.md)                               | Agent definition, types, paradigms, and applications                       | ✅      |
+| [Chapter 2: History of Agents](./docs/chapter2/Chapter2-History-of-Agents.md)                                         | Evolution from symbolism to LLM-driven agents                              | ✅      |
+| [Chapter 3: Large Language Model Fundamentals](./docs/chapter3/Chapter3-Fundamentals-of-Large-Language-Models.md)     | Transformer, prompts, mainstream LLMs and their limitations                | ✅      |
+| **Part 2: Building Your LLM Agent**                                                                                   |                                                                            |        |
+| [Chapter 4: Classic Agent Paradigm Construction](./docs/chapter4/Chapter4-Building-Classic-Agent-Paradigms.md)        | Hands-on implementation of ReAct, Plan-and-Solve, Reflection               | ✅      |
+| [Chapter 5: Low-Code Platform Agent Development](./docs/chapter5/Chapter5-Building-Agents-with-Low-Code-Platforms.md) | Understanding Coze, Dify, n8n and other low-code agent platforms           | ✅      |
+| [Chapter 6: Framework Development Practice](./docs/chapter6/Chapter6-Framework-Development-Practice.md)               | AutoGen, AgentScope, LangGraph and other mainstream framework applications | ✅      |
+| [Chapter 7: Building Your Agent Framework](./docs/chapter7/Chapter7-Building-Your-Agent-Framework.md)                 | Building an agent framework from scratch                                   | ✅      |
+| **Part 3: Advanced Knowledge Extension**                                                                              |                                                                            |        |
+| [Chapter 8: Memory and Retrieval](./docs/chapter8/Chapter8-Memory-and-Retrieval.md)                                   | Memory systems, RAG, storage                                               | ✅      |
+| [Chapter 9: Context Engineering](./docs/chapter9/Chapter9-Context-Engineering.md)                                     | "Contextual understanding" for continuous interaction                      | ✅      |
+| [Chapter 10: Agent Communication Protocols](./docs/chapter10/Chapter10-Agent-Communication-Protocols.md)              | MCP, A2A, ANP and other protocol analysis                                  | ✅      |
+| [Chapter 11: Agentic-RL](./docs/chapter11/Chapter11-Agentic-RL.md)                                                    | Practical LLM training from SFT to GRPO                                    | ✅      |
+| [Chapter 12: Agent Performance Evaluation](./docs/chapter12/Chapter12-Agent-Performance-Evaluation.md)                | Core metrics, benchmarks, and evaluation frameworks                        | ✅      |
+| **Part 4: Comprehensive Case Studies**                                                                                |                                                                            |        |
+| [Chapter 13: Intelligent Travel Assistant](./docs/chapter13/Chapter13-Intelligent-Travel-Assistant.md)                | Real-world applications of MCP and multi-agent collaboration               | ✅      |
+| [Chapter 14: Automated Deep Research Agent](./docs/chapter14/Chapter14-Automated-Deep-Research-Agent.md)              | DeepResearch Agent reproduction and analysis                               | ✅      |
+| [Chapter 15: Building a Cyber Town](./docs/chapter15/Chapter15-Building-Cyber-Town.md)                                | Combining agents with games, simulating social dynamics                    | ✅      |
+| **Part 5: Capstone Project and Future Outlook**                                                                       |                                                                            |        |
+| [Chapter 16: Capstone Project](./docs/chapter16/Chapter16-Graduation-Project.md)                                      | Build your own complete multi-agent application                            | ✅      |
 
 ### Community Contributions
 
   We welcome everyone to contribute their unique insights and practical summaries from learning Hello-Agents or Agent-related technologies to the community selection in the form of PRs. If the content is independent of the main text, you can also submit it to Extra-Chapter! **Looking forward to your first contribution!**
 
-| Community Selection | Content Summary |
-| --- | --- |
-| [01-Agent Interview Questions Summary](https://github.com/datawhalechina/hello-agents/blob/main/Extra-Chapter/Extra01-面试问题总结.md) | Agent position-related interview questions |
-| [01-Agent Interview Answers](https://github.com/datawhalechina/hello-agents/blob/main/Extra-Chapter/Extra01-参考答案.md) | Answers to related interview questions |
-| [02-Context Engineering Content Supplement](https://github.com/datawhalechina/hello-agents/blob/main/Extra-Chapter/Extra02-上下文工程补充知识.md) | Context engineering content extension |
-| [03-Dify Agent Creation Step-by-Step Tutorial](https://github.com/datawhalechina/hello-agents/blob/main/Extra-Chapter/Extra03-Dify智能体创建保姆级操作流程.md) | Dify Agent Creation Step-by-Step Tutorial |
+| Community Selection                                                                                                                                            | Content Summary                            |
+| -------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------ |
+| [01-Agent Interview Questions Summary](https://github.com/datawhalechina/hello-agents/blob/main/Extra-Chapter/Extra01-面试问题总结.md)                         | Agent position-related interview questions |
+| [01-Agent Interview Answers](https://github.com/datawhalechina/hello-agents/blob/main/Extra-Chapter/Extra01-参考答案.md)                                       | Answers to related interview questions     |
+| [02-Context Engineering Content Supplement](https://github.com/datawhalechina/hello-agents/blob/main/Extra-Chapter/Extra02-上下文工程补充知识.md)              | Context engineering content extension      |
+| [03-Dify Agent Creation Step-by-Step Tutorial](https://github.com/datawhalechina/hello-agents/blob/main/Extra-Chapter/Extra03-Dify智能体创建保姆级操作流程.md) | Dify Agent Creation Step-by-Step Tutorial  |
 
 ### PDF Version Download
 
@@ -147,7 +147,7 @@ We are an open-source community and welcome any form of contribution!
 ## Star History
 
 <div align='center'>
-    <img src="./docs/images/star-history-20251117.png" alt="Datawhale" width="90%">
+    <img src="./docs/images/star-history-20251130.png" alt="Datawhale" width="90%">
 </div>
 
 <div align="center">

docs/README.md

@@ -41,40 +41,40 @@
 
 ## 📖 内容导航
 
-| 章节 | 关键内容 | 状态 |
-| --- | --- | --- |
-| [前言](./前言.md) | 项目的缘起、背景及读者建议 | ✅ |
-| <strong>第一部分：智能体与语言模型基础</strong> |  |  |
-| [第一章 初识智能体](./chapter1/第一章%20初识智能体.md) | 智能体定义、类型、范式与应用 | ✅ |
-| [第二章 智能体发展史](./chapter2/第二章%20智能体发展史.md) | 从符号主义到 LLM 驱动的智能体演进 | ✅ |
-| [第三章 大语言模型基础](./chapter3/第三章%20大语言模型基础.md) | Transformer、提示、主流 LLM 及其局限 | ✅ |
-| <strong>第二部分：构建你的大语言模型智能体</strong> |  |  |
-| [第四章 智能体经典范式构建](./chapter4/第四章%20智能体经典范式构建.md) | 手把手实现 ReAct、Plan-and-Solve、Reflection | ✅ |
-| [第五章 基于低代码平台的智能体搭建](./chapter5/第五章%20基于低代码平台的智能体搭建.md) | 了解 Coze、Dify、n8n 等低代码智能体平台使用 | ✅ |
-| [第六章 框架开发实践](./chapter6/第六章%20框架开发实践.md) | AutoGen、AgentScope、LangGraph 等主流框架应用 | ✅ |
-| [第七章 构建你的Agent框架](./chapter7/第七章%20构建你的Agent框架.md) | 从 0 开始构建智能体框架 | ✅ |
-| <strong>第三部分：高级知识扩展</strong> |  |  |
-| [第八章 记忆与检索](./chapter8/第八章%20记忆与检索.md) | 记忆系统，RAG，存储 | ✅ |
-| [第九章 上下文工程](./chapter9/第九章%20上下文工程.md) | 持续交互的"情境理解" | ✅ |
-| [第十章 智能体通信协议](./chapter10/第十章%20智能体通信协议.md) | MCP、A2A、ANP 等协议解析 | ✅ |
-| [第十一章 Agentic-RL](./chapter11/第十一章%20Agentic-RL.md) | 从 SFT 到 GRPO 的 LLM 训练实战 | ✅ |
-| [第十二章 智能体性能评估](./chapter12/第十二章%20智能体性能评估.md) | 核心指标、基准测试与评估框架 | ✅ |
-| <strong>第四部分：综合案例进阶</strong> |  |  |
-| [第十三章 智能旅行助手](./chapter13/第十三章%20智能旅行助手.md) | MCP 与多智能体协作的真实世界应用 | ✅ |
-| [第十四章 自动化深度研究智能体](./chapter14/第十四章%20自动化深度研究智能体.md) | DeepResearch Agent 复现与解析 | ✅ |
-| [第十五章 构建赛博小镇](./chapter15/第十五章%20构建赛博小镇.md) | Agent 与游戏的结合，模拟社会动态 | ✅ |
-| <strong>第五部分：毕业设计及未来展望</strong> |  |  |
-| [第十六章 毕业设计](./chapter16/第十六章%20毕业设计.md) | 构建属于你的完整多智能体应用 | ✅ |
+| 章节                                                                                   | 关键内容                                      | 状态 |
+| -------------------------------------------------------------------------------------- | --------------------------------------------- | ---- |
+| [前言](./前言.md)                                                                      | 项目的缘起、背景及读者建议                    | ✅    |
+| <strong>第一部分：智能体与语言模型基础</strong>                                        |                                               |      |
+| [第一章 初识智能体](./chapter1/第一章%20初识智能体.md)                                 | 智能体定义、类型、范式与应用                  | ✅    |
+| [第二章 智能体发展史](./chapter2/第二章%20智能体发展史.md)                             | 从符号主义到 LLM 驱动的智能体演进             | ✅    |
+| [第三章 大语言模型基础](./chapter3/第三章%20大语言模型基础.md)                         | Transformer、提示、主流 LLM 及其局限          | ✅    |
+| <strong>第二部分：构建你的大语言模型智能体</strong>                                    |                                               |      |
+| [第四章 智能体经典范式构建](./chapter4/第四章%20智能体经典范式构建.md)                 | 手把手实现 ReAct、Plan-and-Solve、Reflection  | ✅    |
+| [第五章 基于低代码平台的智能体搭建](./chapter5/第五章%20基于低代码平台的智能体搭建.md) | 了解 Coze、Dify、n8n 等低代码智能体平台使用   | ✅    |
+| [第六章 框架开发实践](./chapter6/第六章%20框架开发实践.md)                             | AutoGen、AgentScope、LangGraph 等主流框架应用 | ✅    |
+| [第七章 构建你的Agent框架](./chapter7/第七章%20构建你的Agent框架.md)                   | 从 0 开始构建智能体框架                       | ✅    |
+| <strong>第三部分：高级知识扩展</strong>                                                |                                               |      |
+| [第八章 记忆与检索](./chapter8/第八章%20记忆与检索.md)                                 | 记忆系统，RAG，存储                           | ✅    |
+| [第九章 上下文工程](./chapter9/第九章%20上下文工程.md)                                 | 持续交互的"情境理解"                          | ✅    |
+| [第十章 智能体通信协议](./chapter10/第十章%20智能体通信协议.md)                        | MCP、A2A、ANP 等协议解析                      | ✅    |
+| [第十一章 Agentic-RL](./chapter11/第十一章%20Agentic-RL.md)                            | 从 SFT 到 GRPO 的 LLM 训练实战                | ✅    |
+| [第十二章 智能体性能评估](./chapter12/第十二章%20智能体性能评估.md)                    | 核心指标、基准测试与评估框架                  | ✅    |
+| <strong>第四部分：综合案例进阶</strong>                                                |                                               |      |
+| [第十三章 智能旅行助手](./chapter13/第十三章%20智能旅行助手.md)                        | MCP 与多智能体协作的真实世界应用              | ✅    |
+| [第十四章 自动化深度研究智能体](./chapter14/第十四章%20自动化深度研究智能体.md)        | DeepResearch Agent 复现与解析                 | ✅    |
+| [第十五章 构建赛博小镇](./chapter15/第十五章%20构建赛博小镇.md)                        | Agent 与游戏的结合，模拟社会动态              | ✅    |
+| <strong>第五部分：毕业设计及未来展望</strong>                                          |                                               |      |
+| [第十六章 毕业设计](./chapter16/第十六章%20毕业设计.md)                                | 构建属于你的完整多智能体应用                  | ✅    |
 
 ### 社区贡献精选 (Community Blog)
 
 &emsp;&emsp;欢迎大家将在学习 Hello-Agents 或 Agent 相关技术中的独到见解、实践总结，以 PR 的形式贡献到社区精选。如果是独立于正文的内容，也可以投稿至 Extra-Chapter！<strong>期待你的第一次贡献！</strong>
 
-| 社区精选 | 内容总结 |
-| --- | --- |
-| [01-Agent面试题总结](https://github.com/datawhalechina/hello-agents/blob/main/Extra-Chapter/Extra01-面试问题总结.md) | Agent 岗位相关面试问题 |
-| [01-Agent面试题答案](https://github.com/datawhalechina/hello-agents/blob/main/Extra-Chapter/Extra01-参考答案.md) | 相关面试问题答案 |
-| [02-上下文工程内容补充](https://github.com/datawhalechina/hello-agents/blob/main/Extra-Chapter/Extra02-上下文工程补充知识.md) | 上下文工程内容扩展 |
+| 社区精选                                                                                                                                      | 内容总结                 |
+| --------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------ |
+| [01-Agent面试题总结](https://github.com/datawhalechina/hello-agents/blob/main/Extra-Chapter/Extra01-面试问题总结.md)                          | Agent 岗位相关面试问题   |
+| [01-Agent面试题答案](https://github.com/datawhalechina/hello-agents/blob/main/Extra-Chapter/Extra01-参考答案.md)                              | 相关面试问题答案         |
+| [02-上下文工程内容补充](https://github.com/datawhalechina/hello-agents/blob/main/Extra-Chapter/Extra02-上下文工程补充知识.md)                 | 上下文工程内容扩展       |
 | [03-Dify智能体创建保姆级教程](https://github.com/datawhalechina/hello-agents/blob/main/Extra-Chapter/Extra03-Dify智能体创建保姆级操作流程.md) | Dify智能体创建保姆级教程 |
 
 ### PDF 版本下载
@@ -144,7 +144,7 @@
 ## Star History
 
 <div align='center'>
-    <img src="./images/star-history-20251117.png" alt="Datawhale" width="90%">
+    <img src="./images/star-history-20251130.png" alt="Datawhale" width="90%">
 </div>
 
 <div align="center">

docs/README_EN.md

@@ -37,41 +37,41 @@
 
 ## 📖 Content Navigation
 
-| Chapter | Key Content | Status |
-| --- | --- | --- |
-| [Preface](./Preface.md) | Project origin, background, and reader suggestions | ✅ |
-| **Part One: Agent and Language Model Fundamentals** |  |  |
-| [Chapter 1: Introduction to Agents](./chapter1/Chapter1-Introduction-to-Agents.md) | Agent definition, types, paradigms, and applications | ✅ |
-| [Chapter 2: History of Agents](./chapter2/Chapter2-History-of-Agents.md) | Evolution from symbolism to LLM-driven agents | ✅ |
-| [Chapter 3: Large Language Model Fundamentals](./chapter3/Chapter3-Fundamentals-of-Large-Language-Models.md) | Transformer, prompts, mainstream LLMs and their limitations | ✅ |
-| **Part Two: Building Your Large Language Model Agent** |  |  |
-| [Chapter 4: Building Classic Agent Paradigms](./chapter4/Chapter4-Building-Classic-Agent-Paradigms.md) | Hands-on implementation of ReAct, Plan-and-Solve, Reflection | ✅ |
-| [Chapter 5: Agent Building Based on Low-Code Platforms](./chapter5/Chapter5-Building-Agents-with-Low-Code-Platforms.md) | Understanding the use of low-code agent platforms like Coze, Dify, n8n | ✅ |
-| [Chapter 6: Framework Development Practice](./chapter6/Chapter6-Framework-Development-Practice.md) | Application of mainstream frameworks such as AutoGen, AgentScope, LangGraph | ✅ |
-| [Chapter 7: Building Your Agent Framework](./chapter7/Chapter7-Building-Your-Agent-Framework.md) | Building an agent framework from scratch | ✅ |
-| **Part Three: Advanced Knowledge Extension** |  |  |
-| [Chapter 8: Memory and Retrieval](./chapter8/Chapter8-Memory-and-Retrieval.md) | Memory systems, RAG, storage | ✅ |
-| [Chapter 9: Context Engineering](./chapter9/Chapter9-Context-Engineering.md) | "Contextual understanding" for continuous interaction | ✅ |
-| [Chapter 10: Agent Communication Protocols](./chapter10/Chapter10-Agent-Communication-Protocols.md) | Analysis of protocols such as MCP, A2A, ANP | ✅ |
-| [Chapter 11: Agentic-RL](./chapter11/Chapter11-Agentic-RL.md) | Practical LLM training from SFT to GRPO | ✅ |
-| [Chapter 12: Agent Performance Evaluation](./chapter12/Chapter12-Agent-Performance-Evaluation.md) | Core metrics, benchmarks, and evaluation frameworks | ✅ |
-| **Part Four: Comprehensive Case Studies** |  |  |
-| [Chapter 13: Intelligent Travel Assistant](./chapter13/Chapter13-Intelligent-Travel-Assistant.md) | Real-world application of MCP and multi-agent collaboration | ✅ |
-| [Chapter 14: Automated Deep Research Agent](./chapter14/Chapter14-Automated-Deep-Research-Agent.md) | DeepResearch Agent reproduction and analysis | ✅ |
-| [Chapter 15: Building a Cyber Town](./chapter15/Chapter15-Building-Cyber-Town.md) | Combination of Agents and games, simulating social dynamics | ✅ |
-| **Part Five: Graduation Project and Future Outlook** |  |  |
-| [Chapter 16: Graduation Project](./chapter16/Chapter16-Graduation-Project.md) | Build your own complete multi-agent application | ✅ |
+| Chapter                                                                                                                 | Key Content                                                                 | Status |
+| ----------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------- | ------ |
+| [Preface](./Preface.md)                                                                                                 | Project origin, background, and reader suggestions                          | ✅      |
+| **Part One: Agent and Language Model Fundamentals**                                                                     |                                                                             |        |
+| [Chapter 1: Introduction to Agents](./chapter1/Chapter1-Introduction-to-Agents.md)                                      | Agent definition, types, paradigms, and applications                        | ✅      |
+| [Chapter 2: History of Agents](./chapter2/Chapter2-History-of-Agents.md)                                                | Evolution from symbolism to LLM-driven agents                               | ✅      |
+| [Chapter 3: Large Language Model Fundamentals](./chapter3/Chapter3-Fundamentals-of-Large-Language-Models.md)            | Transformer, prompts, mainstream LLMs and their limitations                 | ✅      |
+| **Part Two: Building Your Large Language Model Agent**                                                                  |                                                                             |        |
+| [Chapter 4: Building Classic Agent Paradigms](./chapter4/Chapter4-Building-Classic-Agent-Paradigms.md)                  | Hands-on implementation of ReAct, Plan-and-Solve, Reflection                | ✅      |
+| [Chapter 5: Agent Building Based on Low-Code Platforms](./chapter5/Chapter5-Building-Agents-with-Low-Code-Platforms.md) | Understanding the use of low-code agent platforms like Coze, Dify, n8n      | ✅      |
+| [Chapter 6: Framework Development Practice](./chapter6/Chapter6-Framework-Development-Practice.md)                      | Application of mainstream frameworks such as AutoGen, AgentScope, LangGraph | ✅      |
+| [Chapter 7: Building Your Agent Framework](./chapter7/Chapter7-Building-Your-Agent-Framework.md)                        | Building an agent framework from scratch                                    | ✅      |
+| **Part Three: Advanced Knowledge Extension**                                                                            |                                                                             |        |
+| [Chapter 8: Memory and Retrieval](./chapter8/Chapter8-Memory-and-Retrieval.md)                                          | Memory systems, RAG, storage                                                | ✅      |
+| [Chapter 9: Context Engineering](./chapter9/Chapter9-Context-Engineering.md)                                            | "Contextual understanding" for continuous interaction                       | ✅      |
+| [Chapter 10: Agent Communication Protocols](./chapter10/Chapter10-Agent-Communication-Protocols.md)                     | Analysis of protocols such as MCP, A2A, ANP                                 | ✅      |
+| [Chapter 11: Agentic-RL](./chapter11/Chapter11-Agentic-RL.md)                                                           | Practical LLM training from SFT to GRPO                                     | ✅      |
+| [Chapter 12: Agent Performance Evaluation](./chapter12/Chapter12-Agent-Performance-Evaluation.md)                       | Core metrics, benchmarks, and evaluation frameworks                         | ✅      |
+| **Part Four: Comprehensive Case Studies**                                                                               |                                                                             |        |
+| [Chapter 13: Intelligent Travel Assistant](./chapter13/Chapter13-Intelligent-Travel-Assistant.md)                       | Real-world application of MCP and multi-agent collaboration                 | ✅      |
+| [Chapter 14: Automated Deep Research Agent](./chapter14/Chapter14-Automated-Deep-Research-Agent.md)                     | DeepResearch Agent reproduction and analysis                                | ✅      |
+| [Chapter 15: Building a Cyber Town](./chapter15/Chapter15-Building-Cyber-Town.md)                                       | Combination of Agents and games, simulating social dynamics                 | ✅      |
+| **Part Five: Graduation Project and Future Outlook**                                                                    |                                                                             |        |
+| [Chapter 16: Graduation Project](./chapter16/Chapter16-Graduation-Project.md)                                           | Build your own complete multi-agent application                             | ✅      |
 
 ### Community Contribution Highlights (Community Blog)
 
   We welcome everyone to contribute their unique insights and practical summaries from learning Hello-Agents or Agent-related technologies to the community highlights in the form of PRs. If the content is independent of the main text, you can also submit it to Extra-Chapter! **Looking forward to your first contribution!**
 
-| Community Highlights | Content Summary |
-| --- | --- |
-| [01-Agent Interview Questions Summary](https://github.com/datawhalechina/hello-agents/blob/main/Extra-Chapter/Extra01-面试问题总结.md) | Agent position-related interview questions |
-| [01-Agent Interview Answers](https://github.com/datawhalechina/hello-agents/blob/main/Extra-Chapter/Extra01-参考答案.md) | Answers to related interview questions |
-| [02-Context Engineering Content Supplement](https://github.com/datawhalechina/hello-agents/blob/main/Extra-Chapter/Extra02-上下文工程补充知识.md) | Context engineering content extension |
-| [03-Dify Agent Creation Step-by-Step Tutorial](https://github.com/datawhalechina/hello-agents/blob/main/Extra-Chapter/Extra03-Dify智能体创建保姆级操作流程.md) | Dify Agent Creation Step-by-Step Tutorial |
+| Community Highlights                                                                                                                                           | Content Summary                            |
+| -------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------ |
+| [01-Agent Interview Questions Summary](https://github.com/datawhalechina/hello-agents/blob/main/Extra-Chapter/Extra01-面试问题总结.md)                         | Agent position-related interview questions |
+| [01-Agent Interview Answers](https://github.com/datawhalechina/hello-agents/blob/main/Extra-Chapter/Extra01-参考答案.md)                                       | Answers to related interview questions     |
+| [02-Context Engineering Content Supplement](https://github.com/datawhalechina/hello-agents/blob/main/Extra-Chapter/Extra02-上下文工程补充知识.md)              | Context engineering content extension      |
+| [03-Dify Agent Creation Step-by-Step Tutorial](https://github.com/datawhalechina/hello-agents/blob/main/Extra-Chapter/Extra03-Dify智能体创建保姆级操作流程.md) | Dify Agent Creation Step-by-Step Tutorial  |
 
 ### PDF Version Download
 
@@ -139,7 +139,7 @@ We are an open-source community and welcome any form of contribution!
 ## Star History
 
 <div align='center'>
-    <img src="./images/star-history-20251117.png" alt="Datawhale" width="90%">
+    <img src="./images/star-history-20251130.png" alt="Datawhale" width="90%">
 </div>
 
 <div align="center">