Who AI recommends for AI agent framework.

Updated 9 October 2026Google AI Overview on 10 October 2026 added

We ask AI assistants GeminiAI Overview which AI agent framework they’d recommend, with live web search on. Here’s who they name.

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Ask AI yourself:

Who gets recommended.

Products named for AI agent framework, by share of 80 answers
#ProductShare of answers
1
89%
71/80 answers —
2
85%
68/80 answers —
3
OpenAI Agents SDKDR 86platform.openai.com
70%
56/80 answers —
4
44%
35/80 answers —
5
Microsoft Agent FrameworkDR 95github.com
41%
33/80 answers —
6
39%
31/80 answers —
7
33%
26/80 answers —
8
31%
25/80 answers —
9
Google ADKDR 98google.com
18%
14/80 answers —
10
Microsoft AutoGenDR 94microsoft.com
15%
12/80 answers —
11
SmolagentsDR 95github.com
15%
12/80 answers —
12
LlamaIndex WorkflowsDR 71llamaindex.ai
14%
11/80 answers —
13
13%
10/80 answers —
14
AutoGenDR 95github.com
13%
10/80 answers —
15
Semantic KernelDR 94microsoft.com
9%
7/80 answers —
16
8%
6/80 answers —
17
Google Agent Development Kit (ADK)DR 80google.github.io
8%
6/80 answers —
18
8%
6/80 answers —
19
Claude Agent SDKDR 86anthropic.com
6%
5/80 answers —
20
5%
4/80 answers —
21
AutoGen (AG2)DR 95github.com
5%
4/80 answers —
21
5%
4/80 answers —
23
4%
3/80 answers —
24
Anthropic Python SDKDR 95github.com
4%
3/80 answers —
25
Auto-GPTDR 95github.com
4%
3/80 answers —
26
4%
3/80 answers —
26
4%
3/80 answers —
28
Microsoft Semantic KernelDR 92learn.microsoft.com
3%
2/80 answers —
28
Hugging FaceDR 95github.com
3%
2/80 answers —
30
Microsoft AutoGen (AG2)DR 95github.com
3%
2/80 answers —
30
3%
2/80 answers —
32
Google Agent Development KitDR 80google.github.io
3%
2/80 answers —
33
3%
2/80 answers —
34
3%
2/80 answers —
35
DifyDR 95github.com
3%
2/80 answers —
36
3%
2/80 answers —
36
AgentForgeDR 91arxiv.org
3%
2/80 answers —
38
3%
2/80 answers —
39
Microsoft Agent Framework (AutoGen + Semantic Kernel)DR 79microsoft.github.io
1%
1/80 answers —
39
CrewAI EnterpriseDR 71crewai.com
1%
1/80 answers —
39
OpenAI Agents SDK (Python)DR 66openai.github.io
1%
1/80 answers —
42
Deep Agents
1%
1/80 answers —
42
Haystack (deepset)DR 56haystack.deepset.ai
1%
1/80 answers —
42
1%
1/80 answers —
42
1%
1/80 answers —
46
Ray Serve (Ray)DR 67docs.ray.io
1%
1/80 answers —
46
1%
1/80 answers —
46
1%
1/80 answers —
46
OpenAI Agents SDK / AgentKitDR 86platform.openai.com
1%
1/80 answers —
46
OpenAI Swarm
1%
1/80 answers —
51
AutoGPTDR 95github.com
1%
1/80 answers —
51
1%
1/80 answers —
51
Hugging Face AgentsDR 88huggingface.co
1%
1/80 answers —
51
LlamaIndex AgentsDR 95github.com
1%
1/80 answers —
51
Amazon Bedrock AgentsDR 92aws.amazon.com
1%
1/80 answers —
51
Agents SDK
1%
1/80 answers —
58
AutoGen (Microsoft)DR 79microsoft.github.io
1%
1/80 answers —
58
Google ADK (Agent Development Kit)DR 95github.com
1%
1/80 answers —
58
1%
1/80 answers —
58
Rasa (Open Source)DR 69rasa.com
1%
1/80 answers —
62
Vercel AI SDKDR 85vercel.com
1%
1/80 answers —
62
1%
1/80 answers —
64
Azure AI FoundryDR 94microsoft.com
1%
1/80 answers —
64
1%
1/80 answers —
66
1%
1/80 answers —
67
1%
1/80 answers —

Prompt by prompt.

Each prompt, the engines whose answers named its most mentioned product, and how many of the planned answers came back. Open a prompt for its own ranking, sources, searches and every answer.

Every prompt, the product its answers named most, and how many answers came back
#PromptAnswers
1LangGraph 15/1616/16
2OpenAI Agents SDK 15/1616/16
3LangGraph 15/1616/16
4LangGraph 15/1616/16
5LangChain 12/1616/16

Recommendations by engine.

Each cell is the share of that engine’s answers naming the product. Engines differ, and this is where it shows.

Share of each engine’s answers naming each product; open a cell for its answers
ProductChatGPTClaudePerplexityGeminiGeminiGrokAI OverviewAI Overview
LangGraph
CrewAI
OpenAI Agents SDK
Mastra
Microsoft Agent Framework
LangChain
LlamaIndex
Pydantic AI
Google ADK
Microsoft AutoGen
Smolagents
LlamaIndex Workflows
PydanticAI
AutoGen
Semantic Kernel

Where the answers looked.

Sites the answers cited, by the share of answers citing each one.

  1. 1langchain.com50%40/80
  2. 2ayautomate.com40%32/80
  3. 3alicelabs.ai18%14/80
  4. 4firecrawl.dev18%14/80
  5. 5github.com16%13/80
  6. 6aitecharchive.com15%12/80
  7. 7dev.to15%12/80
  8. 8agentmail.to14%11/80
  9. 9kdnuggets.com14%11/80
  10. 10toolradar.com14%11/80
  11. 11browser-use.com13%10/80
  12. 12medium.com13%10/80

In their own words.

Lines from the answers that name the product, word for word, with the engine and the day it answered.

What the engines say about

  • “What is the best framework for building AI agents?”

    7. CrewAI / LangGraph (emerging orchestration frameworks) — https://crew.ai (CrewAI) / https://langgraph.ai (LangGraph)

    ChatGPT9 Oct 2026

  • “What is the best framework for building AI agents?”

    2. LangGraph -

    Claude9 Oct 2026

  • “What is the best framework for building AI agents?”

    1. LangGraph — https://www.langchain.com/langgraph — Best overall for production agents requiring explicit state, controllable workflows, persistence, and human approval; it is widely identified as a leading choice for complex agent orchestration.[1][3]

    Perplexity9 Oct 2026

  • “What is the best framework for building AI agents?”

    1. LangGraph

    GeminiGemini9 Oct 2026

  • “What is the best framework for building AI agents?”

    1. LangGraph

    Grok9 Oct 2026

  • “What is the best framework for building AI agents?”

    The best AI agent framework depends on your specific goal, with LangGraph ranking as the top choice for complex, deterministic production systems, and CrewAI leading for fast, role-based multi-agent prototypes.[[1]](https://pub.towardsai.net/top-ai-agent-frameworks-in-2026-a-production-ready…

    AI OverviewAI Overview10 Oct 2026

How this was measured.

  • Measured on 9 October 2026.

    5 buyer questions, on ChatGPT, Claude, Perplexity, Gemini, Grok and AI Overview.

  • Asked more than once.

    Each question went to each engine several times (Google AI Overview once), so the tables show rates, not one list.

  • Gaps stay gaps.

    An answer that failed is left out of every count, never read as one that named nobody.

  • Every answer is here.

    Quoted word for word, and in the CSV and JSON.

Not affiliated with or endorsed by OpenAI, Anthropic, Perplexity, Google and xAI. How it works · More AI rankings

Show your count on your site.

If your product was named in at least 40 of the 80 answers, you can say so on your site. The badge shows your own count and the month it was measured, and links to your row here.

It is drawn from the latest ranking. When the ranking is checked again, the badge shows the new count; if your product is no longer on the list or falls below the bar, the badge stops showing a claim.

Your product
LangGraph: named in 71 of 80 AI answers for AI agent framework — recomention, October 2026LangGraph: named in 71 of 80 answers from ChatGPT, Claude, Perplexity, Gemini, Grok and AI Overview for AI agent framework — recomention, October 2026
<a href="http://localhost:3000/ai-rankings/ai-agent-framework#named-langgraph" target="_blank" rel="noopener"><img src="http://localhost:3000/ai-rankings/ai-agent-framework/badge.svg?product=named-langgraph&amp;v=3" alt="LangGraph: named in 71 of 80 AI answers for AI agent framework — recomention, October 2026" title="LangGraph: named in 71 of 80 answers from ChatGPT, Claude, Perplexity, Gemini, Grok and AI Overview for AI agent framework — recomention, October 2026" width="220" height="74" /></a>

Both themes make the same claim. The badge links to your product’s row in this ranking, where the answers are.

Other categories.

Not on this list? Check your brand.

A Quick report asks 15 questions a buyer would ask in your category, with your name left out of every one, 2 times each on ChatGPT, Perplexity and Gemini. It shows how often you are named, who is named instead, and where the engines look. One payment, no subscription.