How can LangGraph+CrewAI improve LLM multi-agent apps?
Exploration of LLM Multi-Agent Application Implementation Based on LangGraph+CrewAI
November 28, 2024
https://arxiv.org/pdf/2411.18241This paper explores using LangGraph and CrewAI to build multi-agent systems with large language models (LLMs). LangGraph manages workflow and communication, while CrewAI handles task allocation and agent collaboration. Key aspects for LLM-based multi-agent systems include: using LangGraph for structured workflows and precise control of LLMs, leveraging CrewAI for defining roles, automating tasks, and optimizing teamwork between LLMs, and combining these frameworks to build more efficient and scalable applications, exemplified by automatic email handling and code generation/review scenarios.