Data as of Oct 5, 2026A question buyers ask in LLM Agent Frameworks and Tooling.
Reviewed by Dimitry Apollonsky ·
CrewAI leads AI recommendations for multi-agent orchestration, holding 40.7% share and appearing as the default answer for role-based teams and fast prototyping. Microsoft AutoGen and LangChain follow as the main alternatives for conversational collaboration and complex stateful workflows respectively. AI consistently frames this buyer's decision around three questions: simplicity of setup, how much conversation the agents need, and whether the workflow requires human-in-the-loop or deterministic control.
We ask the same underlying question in different ways.
AI answers with a split depending on complexity: CrewAI for fast, role-based teams, Microsoft AutoGen for conversational stateful interactions, and LangGraph for deterministic workflows.
Google AI Overviews names Microsoft AutoGen for conversational collaboration and LangGraph for structured stateful DAG-based workflows, with CrewAI and LangGraph also appearing as leading solutions.
