LangChain vs LlamaIndex vs CrewAI vs AutoGen
AI Agent Framework Comparison
Comparison of the top 4 AI agent frameworks — architecture, multi-agent support, RAG integration, ease of use, and community.
LangChainLlamaIndexCrewAIAutoGen
Full Specification Comparison
| Specification | LangChain | LlamaIndex | CrewAI | AutoGen |
|---|---|---|---|---|
| Primary Focus | General LLM apps | RAG / data | Multi-agent | Multi-agent conversations |
| Multi-Agent | Via LangGraph | Limited | Native | Native |
| RAG Support | Good | Excellent | Basic | Basic |
| Learning Curve | Steep | Moderate | Easy | Moderate |
| GitHub Stars | 98K+ | 38K+ | 28K+ | 40K+ |
| LangGraph Integration | Native | No | No | No |
| Best For | Complex workflows | Data-heavy apps | Team agents | Research agents |
Expert Verdict
LangChain is the most versatile with the largest ecosystem; LlamaIndex excels at RAG pipelines; CrewAI offers the simplest multi-agent setup; AutoGen provides the most flexible agent conversations.
Subject Breakdown
LangChain
2 Category Wins
- ★ GitHub Stars: 98K+
- ★ LangGraph Integration: Native
LlamaIndex
1 Category Wins
- ★ RAG Support: Excellent
CrewAI
1 Category Wins
- ★ Learning Curve: Easy
AutoGen
1 Category Wins
- ★ Multi-Agent: Native