Who AI recommends, and when it changes.
Data as of Mar 25, 2026 · Based on 12 AI answers · A buyer need in LLM Agent Frameworks and Tooling. · See how Parse measures this
Recommendation share
LangChain leads at 42% of AI recommendations; AUTOGEN follows at 25%.
By platform
Platforms disagree: CrewAI leads on Google AI Overviews, LangChain on ChatGPT.
Representative prompts behind this market ranking, and how AI tends to answer.
Buyer needs that sit next to this one in the same market.
Where a different pick wins:
AI describes CrewAI as ideal for orchestrating multi-agent teams where structured human review and approval are essential. · 3 sources
AUTOGENAutoGen's conversational model lets a UserProxyAgent act as a proxy for humans, making it suitable for interactive approval flows. · 2 sources
Mastra provides durable TypeScript workflows that can suspend and resume, fitting human-in-the-loop patterns for Node.js teams. · 2 sources
LlamaIndex Agents are highlighted when agents need to perform retrieval-augmented generation with human intervention. · 1 source
Why here: Strong choice for conversational multi-agent systems where a human proxy agent can be inserted into approval flows. · 4 sources
Why here: Preferred for role-based multi-agent teams that need collaborative, structured approval processes. · 6 sources
