My goal is to create a customer service agent that can handle complex, multi-turn conversations. What's the best framework for conversational AI agents? | Parse

My goal is to create a customer service agent that can handle complex, multi-turn conversations. What's the best framework for conversational AI agents? | Parse

LangChain LangGraph holds a clear lead for building conversational agent frameworks with complex flows. However, LangChain serves as the usual answer when buyers focus specifically on multi-turn customer service agents.

Which brands AI mentions

#BrandHow often mentioned

1LangChain LangGraphMentioned in most answers

custom programmable conversational agents requiring graph-based execution logic and complex workflows

2CrewAIMentioned in most answers

multi-agent task distribution and collaborative agent workflows

3OpenAI Agents SDKMentioned often

building conversational agents within the OpenAI ecosystem

4Microsoft Agent FrameworkMentioned often

enterprise agent development across Microsoft infrastructure

5Microsoft Semantic KernelRarely mentioned

integrating AI agents into existing enterprise applications

See 86 more brands

We ask the same underlying question in different ways.

My goal is to create a customer service agent that can handle complex, multi-turn conversations. What's the best framework for conversational AI agents?
What are the top frameworks for developing conversational AI agents that excel at handling complex, multi-turn interactions?
What are the standard tools and frameworks for developing conversational AI agents and handling their orchestration?

By platform

ChatGPT

1LangChain
2