AI Agent">AI agent frameworks moved from research to production in 2026. The choice is betweenorchestration-heavy(LangChain/LangGraph),multi-agent collaboration(CrewAI/AutoGen), andRAG (Retrieval-Augmented Generation)">RAG-focused(Haystack).
Quick Picks
- General-purpose orchestration→LangChain+ LangGraph
- Multi-agent crews→CrewAI
- Conversational multi-agent→AutoGen(Microsoft)
- RAG + search-first→Haystack
What Each Wins At
LangChain + LangGraph
LangChain remains the de facto agent framework with the largest ecosystem. LangGraph adds graph-based workflow orchestration with state management. Best for: production agent systems, complex workflows.
CrewAI
CrewAI focuses on agent crews — multiple specialized agents collaborating on complex tasks (researcher + writer + reviewer). Best for: marketing automation, content production, research assistants.
AutoGen
AutoGen (Microsoft Research) emphasizes conversational multi-agent patterns. Strong for code generation use cases. Best for: code assistants, debate-style problem solving.
Haystack
Haystack (deepset) leads on RAG and search. Production-grade pipelines for question answering. Best for: knowledge base assistants, semantic search.