# Chapter 14 Overview of Other Major Frameworks

> 🧭 *"Frameworks are just tools; understanding the principles is what matters. This chapter gives a quick tour of major Agent frameworks to help you make informed technology choices."*

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## Chapter Overview

The Agent framework ecosystem is evolving rapidly. Beyond LangChain/LangGraph, there are frameworks like AutoGPT, CrewAI, and AutoGen, each with distinct characteristics, as well as low-code platforms like Dify and Coze. Understanding their design philosophies and applicable scenarios helps you choose the most suitable tool for different projects.

## Chapter Goals

After completing this chapter, you will be able to:

- ✅ Understand the core ideas of early pioneering projects like AutoGPT and BabyAGI
- ✅ Understand CrewAI's role-playing multi-Agent collaboration design pattern
- ✅ Master the characteristics of AutoGen's conversation-driven Agent framework
- ✅ Understand the advantages and limitations of low-code Agent platforms
- ✅ Choose the appropriate framework based on project requirements

## Chapter Structure

| Section | Content | Difficulty |
|---------|---------|------------|
| 14.1 Lessons from AutoGPT and BabyAGI | Design philosophy of pioneering projects | ⭐⭐ |
| 14.2 CrewAI: Role-Playing Framework | A concise solution for multi-Agent collaboration | ⭐⭐⭐ |
| 14.3 AutoGen: Microsoft's Conversation Framework | Conversation-driven Agent design | ⭐⭐⭐ |
| 14.4 Low-Code Agent Platforms | Visual tools like Dify and Coze | ⭐⭐ |
| 14.5 How to Choose a Framework? | Decision matrix | ⭐⭐ |

## ⏱️ Estimated Study Time

Approximately **60–90 minutes**

## 💡 Prerequisites

- Completed Chapters 12–13 on LangChain/LangGraph
- Basic understanding of core Agent concepts

## 🔗 Learning Path

> **Prerequisites**: [Chapter 12 LangChain](../chapter_langchain/README.md), [Chapter 13 LangGraph](../chapter_langgraph/README.md)
>
> **Recommended Next**:
> - 👉 [Chapter 16 Multi-Agent Collaboration](../chapter_multi_agent/README.md) — deep dive into multi-Agent architecture design
> - 👉 [Chapter 18 Evaluation and Optimization](../chapter_evaluation/README.md) — evaluate the real-world performance of different frameworks

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*Next section: [14.1 Lessons from AutoGPT and BabyAGI](./01_autogpt_babyagi.md)*
