AI Agent Framework Comparison

AutoGen vs CrewAI vs LangGraph vs LangChain vs Semantic Kernel. Find the best framework for your project.

CrewAI

crewai.com • Open Source

Multi-agent orchestration using role-based agent teams. Most intuitive for business automation.

⭐ 25K GitHub stars

Role-basedBeginner-friendlyMulti-agent

LangGraph

langchain.com • Open Source

Graph-based state machines for complex agentic workflows. Best for production agentic systems.

⭐ 8K GitHub stars

StatefulComplex workflowsProduction

AutoGen

microsoft.github.io • Open Source

Microsoft's multi-agent conversation framework. Strong for research and code generation.

⭐ 35K GitHub stars

ConversationalMicrosoftResearch

Semantic Kernel

microsoft.com • Open Source

Microsoft's enterprise agent SDK. Deep Azure/OpenAI integration. Best for .NET shops.

⭐ 18K GitHub stars

Enterprise.NETAzure

Mastra

mastra.ai • Open Source

TypeScript-first agent framework. Built for modern web developers. Strong dev experience.

⭐ 12K GitHub stars

TypeScriptModernDX-focused

LlamaIndex

llamaindex.ai • Open Source

Data framework for LLM apps. Best for RAG and knowledge-augmented agents.

⭐ 32K GitHub stars

RAGKnowledgeData

🏆 Our Recommendation

Start with CrewAI if you want the fastest path to multi-agent systems. Use LangGraph if you need complex, production-grade workflows. Use Semantic Kernel if you're in the Microsoft/Enterprise ecosystem.

Framework	Language	Difficulty	Multi-Agent	Tool Use	Memory	Production Ready	Best For	Score
CrewAI	Python	Easy	✓✓✓	✓✓✓	✓✓	✓✓✓	Business automation, rapid prototyping	9.0
LangGraph	Python	Hard	✓✓✓	✓✓✓	✓✓✓	✓✓✓	Complex workflows, research systems	8.5
AutoGen	Python	Medium	✓✓✓	✓✓	✓	✓✓	Research, code generation	7.5
Semantic Kernel	C# / Python	Medium	✓✓	✓✓✓	✓✓✓	✓✓✓	Enterprise, Azure, .NET	7.0
Mastra	TypeScript	Easy	✓✓	✓✓	✓✓	✓✓	Web developers, TypeScript projects	8.0
LlamaIndex	Python	Medium	✓	✓✓	✓✓✓	✓✓✓	RAG, knowledge agents	8.0

🤖 AI Agent Framework Comparison

🏆 Our Recommendation