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AI agent frameworks

Agent Frameworks engine breadth

16 companies ranked by how many AI engines name them.
Recorded Sep 14, 2026Rotating scheduleSource: Rank.ai's prompt benchmark: fixed buying questions put to the OpenAI, Anthropic and Google model APIs, with Rank.ai's web searchHow this board is measuredCSV / JSON

3 engines

LangGraph / Deep Agents ranks first

Engine breadth

16

Companies ranked

Sep 14

Snapshot recorded

2026 · Rotating schedule

3

Answers behind each row

From the OpenAI, Anthropic and Google model APIs

Follow changes

All 16 companies by engine breadth

LangGraph / Deep Agents leads at 3 engines; the middle of the board sits at 2.

Ahead of second place
0
Held by the top three
35%
Middle of the board
2
Below half the leader
7 of 16
Rank, name and engine breadthMiddle 2
  1. 1LangGraph / Deep Agents3 engines
  2. 2CrewAI3 engines
  3. 3LlamaIndex3 engines
  4. 4Pydantic AI3 engines
  5. 5Mastra2 engines
  6. 6Microsoft Agent Framework2 engines
  7. 7Haystack2 engines
  8. 8Vercel AI SDK2 engines
  9. 9Google Agent Development Kit2 engines
  10. 10DSPy1 engines
  11. 11OpenAI Agents SDK1 engines
  12. 12Hugging Face smolagents1 engines
  13. 13Strands Agents1 engines
  14. 14Agno0 engines
  15. 15BeeAI Framework0 engines
  16. 16Claude Agent SDK0 engines

The prompt boards are re-run in rotation, about one category a day, so each board refreshes every few weeks and shows the date of its snapshot.

3 checks behind each row · 100% confidence across rows.

Agent Frameworks engine breadth current rankings
RankNameEngine breadthMention coverageShare of namesCited as sourceChangeWhy
01LangGraph / Deep Agents3 engines36.11% · 13 / 3625.49% · 13 / 5136.36% · 12 / 33 This rankMy rank
02CrewAI3 engines22.22% · 8 / 3615.69% · 8 / 510% · 0 / 33 This rankMy rank
03LlamaIndex3 engines11.11% · 4 / 367.84% · 4 / 513.03% · 1 / 33 This rankMy rank
04Pydantic AI3 engines8.33% · 3 / 365.88% · 3 / 516.06% · 2 / 33 3This rankMy rank
05Mastra2 engines16.67% · 6 / 3611.76% · 6 / 5112.12% · 4 / 33 1This rankMy rank
06Microsoft Agent Framework2 engines13.89% · 5 / 369.8% · 5 / 5118.18% · 6 / 33 2This rankMy rank
07Haystack2 engines11.11% · 4 / 367.84% · 4 / 510% · 0 / 33 3This rankMy rank
08Vercel AI SDK2 engines5.56% · 2 / 363.92% · 2 / 5118.18% · 6 / 33 3This rankMy rank
09Google Agent Development Kit2 engines5.56% · 2 / 363.92% · 2 / 516.06% · 2 / 33 1This rankMy rank
10DSPy1 engines2.78% · 1 / 361.96% · 1 / 510% · 0 / 33 2This rankMy rank
11OpenAI Agents SDK1 engines2.78% · 1 / 361.96% · 1 / 510% · 0 / 33 2This rankMy rank
12Hugging Face smolagents1 engines2.78% · 1 / 361.96% · 1 / 510% · 0 / 33 1This rankMy rank
13Strands Agents1 engines2.78% · 1 / 361.96% · 1 / 510% · 0 / 33 3This rankMy rank
14Agno0 engines0% · 0 / 360% · 0 / 510% · 0 / 33 1This rankMy rank
15BeeAI Framework0 engines0% · 0 / 360% · 0 / 510% · 0 / 33 1This rankMy rank
16Claude Agent SDK0 engines0% · 0 / 360% · 0 / 510% · 0 / 33 1ShowingMy rank

Compare brands

One brand against up to three competitors, answer by answer

Run a question live
Compared 4 of 4

36.1%

of these answers name or cite LangGraph / Deep Agents

13 of 36 answers

72.2%

Its share of the compared brands' appearances

10

Answers citing its own site

12 links to its domains

3 of 3

Model APIs that name it

The compared brands across the filtered answers
BrandNamed or citedAgainst primaryShare of comparedMentionsAnswers citing itLinks to its siteModel APIs
LangGraph / Deep Agentslangchain.com36.1%13 of 36Primary72.2%2210123 of 3
LlamaIndexllamaindex.ai11.1%4 of 36-25.0 pts22.2%12113 of 3
OpenAI Agents SDKopenai.com2.8%1 of 36-33.3 pts5.6%1001 of 3
Claude Agent SDKanthropic.com0.0%0 of 36-36.1 pts0.0%0000 of 3

Every answer

Which compared brands each answer names

Compared brands named in each answer, by question and model API
QuestionOpenAIopenai/gpt-4o-miniAnthropicanthropic/claude-haiku-4-5Geminigoogle/gemini-2.5-flash
01What are the best open-source frameworks for building reliable AI agents in a production application?Recommendation
LangGraph / Deep Agents, cited 1
4 sourcesf736fd64
None named
0 sourcesa6011974
LangGraph / Deep Agents, cited 1OpenAI Agents SDK
6 sources30488435
02Recommend a Python-first agent framework with typed dependencies, structured outputs, tool validation, and testability.Recommendation
None named
6 sources0a93806d
LangGraph / Deep Agents
5 sourcesc99bde45
None named
5 sources8ec5300a
03Which TypeScript toolkit is best for streaming agent interfaces, tool calling, structured data, and multiple model providers?Recommendation
None named
8 sourcesdda87429
None named
0 sourcesf09a530c
None named
7 sourcesaedcdcf7
04Recommend a framework for role-based multi-agent teams, explicit handoffs, delegation, and human approval steps.Recommendation
None named
8 sources6b63d488
None named
0 sources84227f68
LangGraph / Deep Agents, cited 1
8 sources23fecae1
05What is the best framework for durable stateful agent graphs with checkpointing, retries, memory, and human-in-the-loop control?Recommendation
LangGraph / Deep Agents, cited 3
9 sourcesbab619ea
LangGraph / Deep Agents
0 sources53e4b182
LangGraph / Deep Agents
9 sources3064d4a5
06Which enterprise agent framework is strongest for .NET or Java teams that need plugins, governance, telemetry, and orchestration?Recommendation
None named
5 sources41aa6e2b
None named
0 sources08ecea2f
None named
9 sources56d2c0fe
07Recommend a cloud-native agent development framework with managed deployment, identity, security controls, and model flexibility.Recommendation
LangGraph / Deep Agents, cited 1
5 sources57eaa9d0
None named
0 sources53fb8a40
None named
7 sources65dc78f4
08Which agent framework is best for retrieval-heavy applications that use documents, data connectors, indexes, and citations?Recommendation
LlamaIndex
4 sources3ee715c7
LlamaIndex, cited 1
3 sourcesa818595e
LangGraph / Deep Agents, cited 1LlamaIndex
5 sources04c14517
09How should a team compare AI agent frameworks for abstraction overhead, model portability, lock-in, and debugging complexity?Commercial comparison
LangGraph / Deep Agents, cited 1
9 sources9baa4355
None named
0 sources506d6fd4
LangGraph / Deep Agents, cited 1LlamaIndex
6 sources4d209a67
10Which reliability criteria matter when choosing an agent framework, including state, retries, tracing, and deterministic tests?Commercial comparison
None named
8 sourcesad62cdcd
None named
0 sourcesd2bffe8a
LangGraph / Deep Agents, cited 1
6 sources2b425631
11When should an engineering team adopt an agent framework instead of building a tool-calling loop directly on a model API?Commercial comparison
LangGraph / Deep Agents, cited 1
7 sources06b2ca23
None named
0 sourcesdd1d48fe
None named
6 sources548af730
12How should a company evaluate maintainer commitment, licensing, release stability, and migration risk in an agent framework?Commercial comparison
None named
4 sourcescf99c3b8
None named
0 sources1598be49
None named
6 sources7caf0102

Sources

The sites these answers cite

Sites cited in the filtered answers
SiteAnswers citing itDistinct pagesModel APIsBest position
langchain.com10321
youtube.com7731
reddit.com7722
pub.towardsai.net6521
github.com6421
langfuse.com5122
learn.microsoft.com4421
rank.ai4421
medium.com4422
mastra.ai4321
arxiv.org3321
braintrust.dev3322
arize.com3121
firecrawl.dev3121
monday.com3124
ai-sdk.dev2321
linkedin.com2325
cloud.google.com2221
dev.to2222
developersdigest.tech2222

What this report publishesThe public buying questions, the brands each answer names, the sources it cites and a fingerprint of each answer. Answer text is not published, and no customer data is in it.ai-agent-frameworks-2026-07-27 / 4-ai-agent-frameworks-2026-07-27-models-64232fd32583

Why this rank

Claude Agent SDK on Agent Frameworks Engine Breadth

Ranks a reviewed Agent Frameworks brand universe using a fixed, public set of neutral commercial prompts across 3 AI providers.

16

Rank on this board

0 percent

Score

3

Answers behind the score

100% confidence · 1 of 1 components evidenced

What the score is built from

1 of 1 evidenced

Every component evidenced · 1 evidence record each

Components of Claude Agent SDK's score
ComponentValueContribution
Engine breadth00

Moved down since the previous snapshot

-1 places

No component moved since the previous snapshot.

Where each number comes from

14 public records
  • Anthropic citation shareAnthropic brand citation share · observed Sep 14, 2026, 12:00 AM UTC0 percent100% confidence
    Source
    Rank.ai Agent Frameworks Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"corpusVersion":"ai-agent-frameworks-2026-07-27","runArtifactIds":["00935126-cf75-4970-b977-139c88a1a5c6","24522e51-8016-486f-b23f-d72b74bad970","982c3734-1f95-4160-a637-e03963be627b","e17daee9-963d-48a0-b5cb-f6bbdab448ad","3f9cd4b4-e3c5-477d-b268-f757997743bb","e5d9a9a6-5e82-4ed8-9479-30afd3bafa0f","9dceceba-1851-4a82-93da-42108895d880","7d48d3aa-1727-493a-a389-1f36f85e934f","e3725791-c297-45b1-b914-be373119a1ff","f198a76f-31ba-4973-b3e2-f020f688e429","057ec17c-7569-41b7-9ee3-7643bf282937","175a72eb-a027-4671-8f32-284c64fe7ba3","26b8e485-78ea-4b07-a5c5-b16dbfe83ba1","5b565155-69e7-42ad-ba77-79315acb0cb4","e1704759-5657-4ef3-a8f4-281e79dd9605","4f79351f-cf02-4dab-a278-f7befa532f80","38739c63-6914-4688-bfc2-37ae341c1165","2ee07ad9-ff9e-4726-b481-d02fb6dde7b1","59732202-e76a-4026-8f27-c904babcf11e","99e7248e-4a37-4a5d-a4a4-9309fc661ce8","d8ca45c8-82f4-4a72-9ca2-dc2796515884","7e683b37-ac45-414a-9e8b-33da4a465b50","045aa07c-0cd9-4a1f-b3ac-5ecbf2864b33","f2a4473b-7c6c-49b7-a092-1dc5474d0d11","0552e42d-7c0d-4619-8187-265d7c819ba4","fca4dc03-beaf-4529-891e-67d8516cd66d","dcb53fa1-77e7-44c6-884a-9f322601a592","4613ce01-b922-4c91-90c8-8ef25d1fb953","7f940397-f2cb-4aa5-85d7-23d0d5e9c663","5c9ef716-3432-4aad-9c25-93f9d440696d","e93789f6-73c1-4f43-b683-46d0e2772258","da91d6b2-fd20-4823-8a39-38cb32f680ac","726fbad1-9302-4ccc-80d8-9891aabac876","4d342f0b-7a6f-4c38-b511-32373edbb743","298fe4b4-73a7-4ce2-8dc1-50cfe331ac90","cf05659a-2fab-4d8b-865b-45f35ba1ea60"],"benchmarkVersion":"4-ai-agent-frameworks-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
    Open the source
  • Anthropic mention coverageAnthropic brand mention coverage · observed Sep 14, 2026, 12:00 AM UTC0 percent100% confidence
    Source
    Rank.ai Agent Frameworks Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"corpusVersion":"ai-agent-frameworks-2026-07-27","runArtifactIds":["00935126-cf75-4970-b977-139c88a1a5c6","24522e51-8016-486f-b23f-d72b74bad970","982c3734-1f95-4160-a637-e03963be627b","e17daee9-963d-48a0-b5cb-f6bbdab448ad","3f9cd4b4-e3c5-477d-b268-f757997743bb","e5d9a9a6-5e82-4ed8-9479-30afd3bafa0f","9dceceba-1851-4a82-93da-42108895d880","7d48d3aa-1727-493a-a389-1f36f85e934f","e3725791-c297-45b1-b914-be373119a1ff","f198a76f-31ba-4973-b3e2-f020f688e429","057ec17c-7569-41b7-9ee3-7643bf282937","175a72eb-a027-4671-8f32-284c64fe7ba3","26b8e485-78ea-4b07-a5c5-b16dbfe83ba1","5b565155-69e7-42ad-ba77-79315acb0cb4","e1704759-5657-4ef3-a8f4-281e79dd9605","4f79351f-cf02-4dab-a278-f7befa532f80","38739c63-6914-4688-bfc2-37ae341c1165","2ee07ad9-ff9e-4726-b481-d02fb6dde7b1","59732202-e76a-4026-8f27-c904babcf11e","99e7248e-4a37-4a5d-a4a4-9309fc661ce8","d8ca45c8-82f4-4a72-9ca2-dc2796515884","7e683b37-ac45-414a-9e8b-33da4a465b50","045aa07c-0cd9-4a1f-b3ac-5ecbf2864b33","f2a4473b-7c6c-49b7-a092-1dc5474d0d11","0552e42d-7c0d-4619-8187-265d7c819ba4","fca4dc03-beaf-4529-891e-67d8516cd66d","dcb53fa1-77e7-44c6-884a-9f322601a592","4613ce01-b922-4c91-90c8-8ef25d1fb953","7f940397-f2cb-4aa5-85d7-23d0d5e9c663","5c9ef716-3432-4aad-9c25-93f9d440696d","e93789f6-73c1-4f43-b683-46d0e2772258","da91d6b2-fd20-4823-8a39-38cb32f680ac","726fbad1-9302-4ccc-80d8-9891aabac876","4d342f0b-7a6f-4c38-b511-32373edbb743","298fe4b4-73a7-4ce2-8dc1-50cfe331ac90","cf05659a-2fab-4d8b-865b-45f35ba1ea60"],"benchmarkVersion":"4-ai-agent-frameworks-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
    Open the source
  • Anthropic recommendation-prompt presenceAnthropic brand recommendation presence · observed Sep 14, 2026, 12:00 AM UTC0 percent100% confidence
    Source
    Rank.ai Agent Frameworks Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"corpusVersion":"ai-agent-frameworks-2026-07-27","runArtifactIds":["00935126-cf75-4970-b977-139c88a1a5c6","24522e51-8016-486f-b23f-d72b74bad970","982c3734-1f95-4160-a637-e03963be627b","e17daee9-963d-48a0-b5cb-f6bbdab448ad","3f9cd4b4-e3c5-477d-b268-f757997743bb","e5d9a9a6-5e82-4ed8-9479-30afd3bafa0f","9dceceba-1851-4a82-93da-42108895d880","7d48d3aa-1727-493a-a389-1f36f85e934f","e3725791-c297-45b1-b914-be373119a1ff","f198a76f-31ba-4973-b3e2-f020f688e429","057ec17c-7569-41b7-9ee3-7643bf282937","175a72eb-a027-4671-8f32-284c64fe7ba3","26b8e485-78ea-4b07-a5c5-b16dbfe83ba1","5b565155-69e7-42ad-ba77-79315acb0cb4","e1704759-5657-4ef3-a8f4-281e79dd9605","4f79351f-cf02-4dab-a278-f7befa532f80","38739c63-6914-4688-bfc2-37ae341c1165","2ee07ad9-ff9e-4726-b481-d02fb6dde7b1","59732202-e76a-4026-8f27-c904babcf11e","99e7248e-4a37-4a5d-a4a4-9309fc661ce8","d8ca45c8-82f4-4a72-9ca2-dc2796515884","7e683b37-ac45-414a-9e8b-33da4a465b50","045aa07c-0cd9-4a1f-b3ac-5ecbf2864b33","f2a4473b-7c6c-49b7-a092-1dc5474d0d11","0552e42d-7c0d-4619-8187-265d7c819ba4","fca4dc03-beaf-4529-891e-67d8516cd66d","dcb53fa1-77e7-44c6-884a-9f322601a592","4613ce01-b922-4c91-90c8-8ef25d1fb953","7f940397-f2cb-4aa5-85d7-23d0d5e9c663","5c9ef716-3432-4aad-9c25-93f9d440696d","e93789f6-73c1-4f43-b683-46d0e2772258","da91d6b2-fd20-4823-8a39-38cb32f680ac","726fbad1-9302-4ccc-80d8-9891aabac876","4d342f0b-7a6f-4c38-b511-32373edbb743","298fe4b4-73a7-4ce2-8dc1-50cfe331ac90","cf05659a-2fab-4d8b-865b-45f35ba1ea60"],"benchmarkVersion":"4-ai-agent-frameworks-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
    Open the source
  • Citation shareCitation share · observed Sep 14, 2026, 12:00 AM UTC0 percent100% confidence
    Source
    Rank.ai Agent Frameworks Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"corpusVersion":"ai-agent-frameworks-2026-07-27","runArtifactIds":["00935126-cf75-4970-b977-139c88a1a5c6","24522e51-8016-486f-b23f-d72b74bad970","982c3734-1f95-4160-a637-e03963be627b","e17daee9-963d-48a0-b5cb-f6bbdab448ad","3f9cd4b4-e3c5-477d-b268-f757997743bb","e5d9a9a6-5e82-4ed8-9479-30afd3bafa0f","9dceceba-1851-4a82-93da-42108895d880","7d48d3aa-1727-493a-a389-1f36f85e934f","e3725791-c297-45b1-b914-be373119a1ff","f198a76f-31ba-4973-b3e2-f020f688e429","057ec17c-7569-41b7-9ee3-7643bf282937","175a72eb-a027-4671-8f32-284c64fe7ba3","26b8e485-78ea-4b07-a5c5-b16dbfe83ba1","5b565155-69e7-42ad-ba77-79315acb0cb4","e1704759-5657-4ef3-a8f4-281e79dd9605","4f79351f-cf02-4dab-a278-f7befa532f80","38739c63-6914-4688-bfc2-37ae341c1165","2ee07ad9-ff9e-4726-b481-d02fb6dde7b1","59732202-e76a-4026-8f27-c904babcf11e","99e7248e-4a37-4a5d-a4a4-9309fc661ce8","d8ca45c8-82f4-4a72-9ca2-dc2796515884","7e683b37-ac45-414a-9e8b-33da4a465b50","045aa07c-0cd9-4a1f-b3ac-5ecbf2864b33","f2a4473b-7c6c-49b7-a092-1dc5474d0d11","0552e42d-7c0d-4619-8187-265d7c819ba4","fca4dc03-beaf-4529-891e-67d8516cd66d","dcb53fa1-77e7-44c6-884a-9f322601a592","4613ce01-b922-4c91-90c8-8ef25d1fb953","7f940397-f2cb-4aa5-85d7-23d0d5e9c663","5c9ef716-3432-4aad-9c25-93f9d440696d","e93789f6-73c1-4f43-b683-46d0e2772258","da91d6b2-fd20-4823-8a39-38cb32f680ac","726fbad1-9302-4ccc-80d8-9891aabac876","4d342f0b-7a6f-4c38-b511-32373edbb743","298fe4b4-73a7-4ce2-8dc1-50cfe331ac90","cf05659a-2fab-4d8b-865b-45f35ba1ea60"],"benchmarkVersion":"4-ai-agent-frameworks-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
    Open the source
  • Engine breadthEngine breadth · observed Sep 14, 2026, 12:00 AM UTC0 engines100% confidence
    Source
    Rank.ai Agent Frameworks Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"corpusVersion":"ai-agent-frameworks-2026-07-27","runArtifactIds":["00935126-cf75-4970-b977-139c88a1a5c6","24522e51-8016-486f-b23f-d72b74bad970","982c3734-1f95-4160-a637-e03963be627b","e17daee9-963d-48a0-b5cb-f6bbdab448ad","3f9cd4b4-e3c5-477d-b268-f757997743bb","e5d9a9a6-5e82-4ed8-9479-30afd3bafa0f","9dceceba-1851-4a82-93da-42108895d880","7d48d3aa-1727-493a-a389-1f36f85e934f","e3725791-c297-45b1-b914-be373119a1ff","f198a76f-31ba-4973-b3e2-f020f688e429","057ec17c-7569-41b7-9ee3-7643bf282937","175a72eb-a027-4671-8f32-284c64fe7ba3","26b8e485-78ea-4b07-a5c5-b16dbfe83ba1","5b565155-69e7-42ad-ba77-79315acb0cb4","e1704759-5657-4ef3-a8f4-281e79dd9605","4f79351f-cf02-4dab-a278-f7befa532f80","38739c63-6914-4688-bfc2-37ae341c1165","2ee07ad9-ff9e-4726-b481-d02fb6dde7b1","59732202-e76a-4026-8f27-c904babcf11e","99e7248e-4a37-4a5d-a4a4-9309fc661ce8","d8ca45c8-82f4-4a72-9ca2-dc2796515884","7e683b37-ac45-414a-9e8b-33da4a465b50","045aa07c-0cd9-4a1f-b3ac-5ecbf2864b33","f2a4473b-7c6c-49b7-a092-1dc5474d0d11","0552e42d-7c0d-4619-8187-265d7c819ba4","fca4dc03-beaf-4529-891e-67d8516cd66d","dcb53fa1-77e7-44c6-884a-9f322601a592","4613ce01-b922-4c91-90c8-8ef25d1fb953","7f940397-f2cb-4aa5-85d7-23d0d5e9c663","5c9ef716-3432-4aad-9c25-93f9d440696d","e93789f6-73c1-4f43-b683-46d0e2772258","da91d6b2-fd20-4823-8a39-38cb32f680ac","726fbad1-9302-4ccc-80d8-9891aabac876","4d342f0b-7a6f-4c38-b511-32373edbb743","298fe4b4-73a7-4ce2-8dc1-50cfe331ac90","cf05659a-2fab-4d8b-865b-45f35ba1ea60"],"benchmarkVersion":"4-ai-agent-frameworks-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
    Open the source
  • Mention coverageMention coverage · observed Sep 14, 2026, 12:00 AM UTC0 percent100% confidence
    Source
    Rank.ai Agent Frameworks Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"corpusVersion":"ai-agent-frameworks-2026-07-27","runArtifactIds":["00935126-cf75-4970-b977-139c88a1a5c6","24522e51-8016-486f-b23f-d72b74bad970","982c3734-1f95-4160-a637-e03963be627b","e17daee9-963d-48a0-b5cb-f6bbdab448ad","3f9cd4b4-e3c5-477d-b268-f757997743bb","e5d9a9a6-5e82-4ed8-9479-30afd3bafa0f","9dceceba-1851-4a82-93da-42108895d880","7d48d3aa-1727-493a-a389-1f36f85e934f","e3725791-c297-45b1-b914-be373119a1ff","f198a76f-31ba-4973-b3e2-f020f688e429","057ec17c-7569-41b7-9ee3-7643bf282937","175a72eb-a027-4671-8f32-284c64fe7ba3","26b8e485-78ea-4b07-a5c5-b16dbfe83ba1","5b565155-69e7-42ad-ba77-79315acb0cb4","e1704759-5657-4ef3-a8f4-281e79dd9605","4f79351f-cf02-4dab-a278-f7befa532f80","38739c63-6914-4688-bfc2-37ae341c1165","2ee07ad9-ff9e-4726-b481-d02fb6dde7b1","59732202-e76a-4026-8f27-c904babcf11e","99e7248e-4a37-4a5d-a4a4-9309fc661ce8","d8ca45c8-82f4-4a72-9ca2-dc2796515884","7e683b37-ac45-414a-9e8b-33da4a465b50","045aa07c-0cd9-4a1f-b3ac-5ecbf2864b33","f2a4473b-7c6c-49b7-a092-1dc5474d0d11","0552e42d-7c0d-4619-8187-265d7c819ba4","fca4dc03-beaf-4529-891e-67d8516cd66d","dcb53fa1-77e7-44c6-884a-9f322601a592","4613ce01-b922-4c91-90c8-8ef25d1fb953","7f940397-f2cb-4aa5-85d7-23d0d5e9c663","5c9ef716-3432-4aad-9c25-93f9d440696d","e93789f6-73c1-4f43-b683-46d0e2772258","da91d6b2-fd20-4823-8a39-38cb32f680ac","726fbad1-9302-4ccc-80d8-9891aabac876","4d342f0b-7a6f-4c38-b511-32373edbb743","298fe4b4-73a7-4ce2-8dc1-50cfe331ac90","cf05659a-2fab-4d8b-865b-45f35ba1ea60"],"benchmarkVersion":"4-ai-agent-frameworks-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
    Open the source
  • Reviewed-brand presence shareMention share · observed Sep 14, 2026, 12:00 AM UTC0 percent100% confidence
    Source
    Rank.ai Agent Frameworks Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"corpusVersion":"ai-agent-frameworks-2026-07-27","runArtifactIds":["00935126-cf75-4970-b977-139c88a1a5c6","24522e51-8016-486f-b23f-d72b74bad970","982c3734-1f95-4160-a637-e03963be627b","e17daee9-963d-48a0-b5cb-f6bbdab448ad","3f9cd4b4-e3c5-477d-b268-f757997743bb","e5d9a9a6-5e82-4ed8-9479-30afd3bafa0f","9dceceba-1851-4a82-93da-42108895d880","7d48d3aa-1727-493a-a389-1f36f85e934f","e3725791-c297-45b1-b914-be373119a1ff","f198a76f-31ba-4973-b3e2-f020f688e429","057ec17c-7569-41b7-9ee3-7643bf282937","175a72eb-a027-4671-8f32-284c64fe7ba3","26b8e485-78ea-4b07-a5c5-b16dbfe83ba1","5b565155-69e7-42ad-ba77-79315acb0cb4","e1704759-5657-4ef3-a8f4-281e79dd9605","4f79351f-cf02-4dab-a278-f7befa532f80","38739c63-6914-4688-bfc2-37ae341c1165","2ee07ad9-ff9e-4726-b481-d02fb6dde7b1","59732202-e76a-4026-8f27-c904babcf11e","99e7248e-4a37-4a5d-a4a4-9309fc661ce8","d8ca45c8-82f4-4a72-9ca2-dc2796515884","7e683b37-ac45-414a-9e8b-33da4a465b50","045aa07c-0cd9-4a1f-b3ac-5ecbf2864b33","f2a4473b-7c6c-49b7-a092-1dc5474d0d11","0552e42d-7c0d-4619-8187-265d7c819ba4","fca4dc03-beaf-4529-891e-67d8516cd66d","dcb53fa1-77e7-44c6-884a-9f322601a592","4613ce01-b922-4c91-90c8-8ef25d1fb953","7f940397-f2cb-4aa5-85d7-23d0d5e9c663","5c9ef716-3432-4aad-9c25-93f9d440696d","e93789f6-73c1-4f43-b683-46d0e2772258","da91d6b2-fd20-4823-8a39-38cb32f680ac","726fbad1-9302-4ccc-80d8-9891aabac876","4d342f0b-7a6f-4c38-b511-32373edbb743","298fe4b4-73a7-4ce2-8dc1-50cfe331ac90","cf05659a-2fab-4d8b-865b-45f35ba1ea60"],"benchmarkVersion":"4-ai-agent-frameworks-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
    Open the source
  • Recommendation-prompt presenceRecommendation presence · observed Sep 14, 2026, 12:00 AM UTC0 percent100% confidence
    Source
    Rank.ai Agent Frameworks Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"corpusVersion":"ai-agent-frameworks-2026-07-27","runArtifactIds":["00935126-cf75-4970-b977-139c88a1a5c6","24522e51-8016-486f-b23f-d72b74bad970","982c3734-1f95-4160-a637-e03963be627b","e17daee9-963d-48a0-b5cb-f6bbdab448ad","3f9cd4b4-e3c5-477d-b268-f757997743bb","e5d9a9a6-5e82-4ed8-9479-30afd3bafa0f","9dceceba-1851-4a82-93da-42108895d880","7d48d3aa-1727-493a-a389-1f36f85e934f","e3725791-c297-45b1-b914-be373119a1ff","f198a76f-31ba-4973-b3e2-f020f688e429","057ec17c-7569-41b7-9ee3-7643bf282937","175a72eb-a027-4671-8f32-284c64fe7ba3","26b8e485-78ea-4b07-a5c5-b16dbfe83ba1","5b565155-69e7-42ad-ba77-79315acb0cb4","e1704759-5657-4ef3-a8f4-281e79dd9605","4f79351f-cf02-4dab-a278-f7befa532f80","38739c63-6914-4688-bfc2-37ae341c1165","2ee07ad9-ff9e-4726-b481-d02fb6dde7b1","59732202-e76a-4026-8f27-c904babcf11e","99e7248e-4a37-4a5d-a4a4-9309fc661ce8","d8ca45c8-82f4-4a72-9ca2-dc2796515884","7e683b37-ac45-414a-9e8b-33da4a465b50","045aa07c-0cd9-4a1f-b3ac-5ecbf2864b33","f2a4473b-7c6c-49b7-a092-1dc5474d0d11","0552e42d-7c0d-4619-8187-265d7c819ba4","fca4dc03-beaf-4529-891e-67d8516cd66d","dcb53fa1-77e7-44c6-884a-9f322601a592","4613ce01-b922-4c91-90c8-8ef25d1fb953","7f940397-f2cb-4aa5-85d7-23d0d5e9c663","5c9ef716-3432-4aad-9c25-93f9d440696d","e93789f6-73c1-4f43-b683-46d0e2772258","da91d6b2-fd20-4823-8a39-38cb32f680ac","726fbad1-9302-4ccc-80d8-9891aabac876","4d342f0b-7a6f-4c38-b511-32373edbb743","298fe4b4-73a7-4ce2-8dc1-50cfe331ac90","cf05659a-2fab-4d8b-865b-45f35ba1ea60"],"benchmarkVersion":"4-ai-agent-frameworks-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
    Open the source
  • Gemini citation shareGemini brand citation share · observed Sep 14, 2026, 12:00 AM UTC0 percent100% confidence
    Source
    Rank.ai Agent Frameworks Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"corpusVersion":"ai-agent-frameworks-2026-07-27","runArtifactIds":["00935126-cf75-4970-b977-139c88a1a5c6","24522e51-8016-486f-b23f-d72b74bad970","982c3734-1f95-4160-a637-e03963be627b","e17daee9-963d-48a0-b5cb-f6bbdab448ad","3f9cd4b4-e3c5-477d-b268-f757997743bb","e5d9a9a6-5e82-4ed8-9479-30afd3bafa0f","9dceceba-1851-4a82-93da-42108895d880","7d48d3aa-1727-493a-a389-1f36f85e934f","e3725791-c297-45b1-b914-be373119a1ff","f198a76f-31ba-4973-b3e2-f020f688e429","057ec17c-7569-41b7-9ee3-7643bf282937","175a72eb-a027-4671-8f32-284c64fe7ba3","26b8e485-78ea-4b07-a5c5-b16dbfe83ba1","5b565155-69e7-42ad-ba77-79315acb0cb4","e1704759-5657-4ef3-a8f4-281e79dd9605","4f79351f-cf02-4dab-a278-f7befa532f80","38739c63-6914-4688-bfc2-37ae341c1165","2ee07ad9-ff9e-4726-b481-d02fb6dde7b1","59732202-e76a-4026-8f27-c904babcf11e","99e7248e-4a37-4a5d-a4a4-9309fc661ce8","d8ca45c8-82f4-4a72-9ca2-dc2796515884","7e683b37-ac45-414a-9e8b-33da4a465b50","045aa07c-0cd9-4a1f-b3ac-5ecbf2864b33","f2a4473b-7c6c-49b7-a092-1dc5474d0d11","0552e42d-7c0d-4619-8187-265d7c819ba4","fca4dc03-beaf-4529-891e-67d8516cd66d","dcb53fa1-77e7-44c6-884a-9f322601a592","4613ce01-b922-4c91-90c8-8ef25d1fb953","7f940397-f2cb-4aa5-85d7-23d0d5e9c663","5c9ef716-3432-4aad-9c25-93f9d440696d","e93789f6-73c1-4f43-b683-46d0e2772258","da91d6b2-fd20-4823-8a39-38cb32f680ac","726fbad1-9302-4ccc-80d8-9891aabac876","4d342f0b-7a6f-4c38-b511-32373edbb743","298fe4b4-73a7-4ce2-8dc1-50cfe331ac90","cf05659a-2fab-4d8b-865b-45f35ba1ea60"],"benchmarkVersion":"4-ai-agent-frameworks-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
    Open the source
  • Gemini mention coverageGemini brand mention coverage · observed Sep 14, 2026, 12:00 AM UTC0 percent100% confidence
    Source
    Rank.ai Agent Frameworks Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"corpusVersion":"ai-agent-frameworks-2026-07-27","runArtifactIds":["00935126-cf75-4970-b977-139c88a1a5c6","24522e51-8016-486f-b23f-d72b74bad970","982c3734-1f95-4160-a637-e03963be627b","e17daee9-963d-48a0-b5cb-f6bbdab448ad","3f9cd4b4-e3c5-477d-b268-f757997743bb","e5d9a9a6-5e82-4ed8-9479-30afd3bafa0f","9dceceba-1851-4a82-93da-42108895d880","7d48d3aa-1727-493a-a389-1f36f85e934f","e3725791-c297-45b1-b914-be373119a1ff","f198a76f-31ba-4973-b3e2-f020f688e429","057ec17c-7569-41b7-9ee3-7643bf282937","175a72eb-a027-4671-8f32-284c64fe7ba3","26b8e485-78ea-4b07-a5c5-b16dbfe83ba1","5b565155-69e7-42ad-ba77-79315acb0cb4","e1704759-5657-4ef3-a8f4-281e79dd9605","4f79351f-cf02-4dab-a278-f7befa532f80","38739c63-6914-4688-bfc2-37ae341c1165","2ee07ad9-ff9e-4726-b481-d02fb6dde7b1","59732202-e76a-4026-8f27-c904babcf11e","99e7248e-4a37-4a5d-a4a4-9309fc661ce8","d8ca45c8-82f4-4a72-9ca2-dc2796515884","7e683b37-ac45-414a-9e8b-33da4a465b50","045aa07c-0cd9-4a1f-b3ac-5ecbf2864b33","f2a4473b-7c6c-49b7-a092-1dc5474d0d11","0552e42d-7c0d-4619-8187-265d7c819ba4","fca4dc03-beaf-4529-891e-67d8516cd66d","dcb53fa1-77e7-44c6-884a-9f322601a592","4613ce01-b922-4c91-90c8-8ef25d1fb953","7f940397-f2cb-4aa5-85d7-23d0d5e9c663","5c9ef716-3432-4aad-9c25-93f9d440696d","e93789f6-73c1-4f43-b683-46d0e2772258","da91d6b2-fd20-4823-8a39-38cb32f680ac","726fbad1-9302-4ccc-80d8-9891aabac876","4d342f0b-7a6f-4c38-b511-32373edbb743","298fe4b4-73a7-4ce2-8dc1-50cfe331ac90","cf05659a-2fab-4d8b-865b-45f35ba1ea60"],"benchmarkVersion":"4-ai-agent-frameworks-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
    Open the source
  • Gemini recommendation-prompt presenceGemini brand recommendation presence · observed Sep 14, 2026, 12:00 AM UTC0 percent100% confidence
    Source
    Rank.ai Agent Frameworks Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"corpusVersion":"ai-agent-frameworks-2026-07-27","runArtifactIds":["00935126-cf75-4970-b977-139c88a1a5c6","24522e51-8016-486f-b23f-d72b74bad970","982c3734-1f95-4160-a637-e03963be627b","e17daee9-963d-48a0-b5cb-f6bbdab448ad","3f9cd4b4-e3c5-477d-b268-f757997743bb","e5d9a9a6-5e82-4ed8-9479-30afd3bafa0f","9dceceba-1851-4a82-93da-42108895d880","7d48d3aa-1727-493a-a389-1f36f85e934f","e3725791-c297-45b1-b914-be373119a1ff","f198a76f-31ba-4973-b3e2-f020f688e429","057ec17c-7569-41b7-9ee3-7643bf282937","175a72eb-a027-4671-8f32-284c64fe7ba3","26b8e485-78ea-4b07-a5c5-b16dbfe83ba1","5b565155-69e7-42ad-ba77-79315acb0cb4","e1704759-5657-4ef3-a8f4-281e79dd9605","4f79351f-cf02-4dab-a278-f7befa532f80","38739c63-6914-4688-bfc2-37ae341c1165","2ee07ad9-ff9e-4726-b481-d02fb6dde7b1","59732202-e76a-4026-8f27-c904babcf11e","99e7248e-4a37-4a5d-a4a4-9309fc661ce8","d8ca45c8-82f4-4a72-9ca2-dc2796515884","7e683b37-ac45-414a-9e8b-33da4a465b50","045aa07c-0cd9-4a1f-b3ac-5ecbf2864b33","f2a4473b-7c6c-49b7-a092-1dc5474d0d11","0552e42d-7c0d-4619-8187-265d7c819ba4","fca4dc03-beaf-4529-891e-67d8516cd66d","dcb53fa1-77e7-44c6-884a-9f322601a592","4613ce01-b922-4c91-90c8-8ef25d1fb953","7f940397-f2cb-4aa5-85d7-23d0d5e9c663","5c9ef716-3432-4aad-9c25-93f9d440696d","e93789f6-73c1-4f43-b683-46d0e2772258","da91d6b2-fd20-4823-8a39-38cb32f680ac","726fbad1-9302-4ccc-80d8-9891aabac876","4d342f0b-7a6f-4c38-b511-32373edbb743","298fe4b4-73a7-4ce2-8dc1-50cfe331ac90","cf05659a-2fab-4d8b-865b-45f35ba1ea60"],"benchmarkVersion":"4-ai-agent-frameworks-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
    Open the source
  • OpenAI citation shareOpenAI brand citation share · observed Sep 14, 2026, 12:00 AM UTC0 percent100% confidence
    Source
    Rank.ai Agent Frameworks Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"corpusVersion":"ai-agent-frameworks-2026-07-27","runArtifactIds":["00935126-cf75-4970-b977-139c88a1a5c6","24522e51-8016-486f-b23f-d72b74bad970","982c3734-1f95-4160-a637-e03963be627b","e17daee9-963d-48a0-b5cb-f6bbdab448ad","3f9cd4b4-e3c5-477d-b268-f757997743bb","e5d9a9a6-5e82-4ed8-9479-30afd3bafa0f","9dceceba-1851-4a82-93da-42108895d880","7d48d3aa-1727-493a-a389-1f36f85e934f","e3725791-c297-45b1-b914-be373119a1ff","f198a76f-31ba-4973-b3e2-f020f688e429","057ec17c-7569-41b7-9ee3-7643bf282937","175a72eb-a027-4671-8f32-284c64fe7ba3","26b8e485-78ea-4b07-a5c5-b16dbfe83ba1","5b565155-69e7-42ad-ba77-79315acb0cb4","e1704759-5657-4ef3-a8f4-281e79dd9605","4f79351f-cf02-4dab-a278-f7befa532f80","38739c63-6914-4688-bfc2-37ae341c1165","2ee07ad9-ff9e-4726-b481-d02fb6dde7b1","59732202-e76a-4026-8f27-c904babcf11e","99e7248e-4a37-4a5d-a4a4-9309fc661ce8","d8ca45c8-82f4-4a72-9ca2-dc2796515884","7e683b37-ac45-414a-9e8b-33da4a465b50","045aa07c-0cd9-4a1f-b3ac-5ecbf2864b33","f2a4473b-7c6c-49b7-a092-1dc5474d0d11","0552e42d-7c0d-4619-8187-265d7c819ba4","fca4dc03-beaf-4529-891e-67d8516cd66d","dcb53fa1-77e7-44c6-884a-9f322601a592","4613ce01-b922-4c91-90c8-8ef25d1fb953","7f940397-f2cb-4aa5-85d7-23d0d5e9c663","5c9ef716-3432-4aad-9c25-93f9d440696d","e93789f6-73c1-4f43-b683-46d0e2772258","da91d6b2-fd20-4823-8a39-38cb32f680ac","726fbad1-9302-4ccc-80d8-9891aabac876","4d342f0b-7a6f-4c38-b511-32373edbb743","298fe4b4-73a7-4ce2-8dc1-50cfe331ac90","cf05659a-2fab-4d8b-865b-45f35ba1ea60"],"benchmarkVersion":"4-ai-agent-frameworks-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
    Open the source
  • OpenAI mention coverageOpenAI brand mention coverage · observed Sep 14, 2026, 12:00 AM UTC0 percent100% confidence
    Source
    Rank.ai Agent Frameworks Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"corpusVersion":"ai-agent-frameworks-2026-07-27","runArtifactIds":["00935126-cf75-4970-b977-139c88a1a5c6","24522e51-8016-486f-b23f-d72b74bad970","982c3734-1f95-4160-a637-e03963be627b","e17daee9-963d-48a0-b5cb-f6bbdab448ad","3f9cd4b4-e3c5-477d-b268-f757997743bb","e5d9a9a6-5e82-4ed8-9479-30afd3bafa0f","9dceceba-1851-4a82-93da-42108895d880","7d48d3aa-1727-493a-a389-1f36f85e934f","e3725791-c297-45b1-b914-be373119a1ff","f198a76f-31ba-4973-b3e2-f020f688e429","057ec17c-7569-41b7-9ee3-7643bf282937","175a72eb-a027-4671-8f32-284c64fe7ba3","26b8e485-78ea-4b07-a5c5-b16dbfe83ba1","5b565155-69e7-42ad-ba77-79315acb0cb4","e1704759-5657-4ef3-a8f4-281e79dd9605","4f79351f-cf02-4dab-a278-f7befa532f80","38739c63-6914-4688-bfc2-37ae341c1165","2ee07ad9-ff9e-4726-b481-d02fb6dde7b1","59732202-e76a-4026-8f27-c904babcf11e","99e7248e-4a37-4a5d-a4a4-9309fc661ce8","d8ca45c8-82f4-4a72-9ca2-dc2796515884","7e683b37-ac45-414a-9e8b-33da4a465b50","045aa07c-0cd9-4a1f-b3ac-5ecbf2864b33","f2a4473b-7c6c-49b7-a092-1dc5474d0d11","0552e42d-7c0d-4619-8187-265d7c819ba4","fca4dc03-beaf-4529-891e-67d8516cd66d","dcb53fa1-77e7-44c6-884a-9f322601a592","4613ce01-b922-4c91-90c8-8ef25d1fb953","7f940397-f2cb-4aa5-85d7-23d0d5e9c663","5c9ef716-3432-4aad-9c25-93f9d440696d","e93789f6-73c1-4f43-b683-46d0e2772258","da91d6b2-fd20-4823-8a39-38cb32f680ac","726fbad1-9302-4ccc-80d8-9891aabac876","4d342f0b-7a6f-4c38-b511-32373edbb743","298fe4b4-73a7-4ce2-8dc1-50cfe331ac90","cf05659a-2fab-4d8b-865b-45f35ba1ea60"],"benchmarkVersion":"4-ai-agent-frameworks-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
    Open the source
  • OpenAI recommendation-prompt presenceOpenAI brand recommendation presence · observed Sep 14, 2026, 12:00 AM UTC0 percent100% confidence
    Source
    Rank.ai Agent Frameworks Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
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    Open the source
Public Agent Frameworks brand benchmark, version 4-ai-agent-frameworks-2026-07-27-models-64232fd32583224 observations · 1 source · quality passed
Snapshot
f47e6ebc-6fe2-4e44-9b44-b458dfefec3f
Data hash
1cc8a0b5c797a9c24c5e0ff5fb7cbb5b7e8d1492700f1079c999d04710db78f9
Method hash
d8821847eb7a050e8892c5756bf22e21adb363440c28cbdcdbf1007658088c13

More in AI agent frameworks

Open source and vendor backed agent frameworks ranked across a fixed engineering buying corpus, with brand, prompt, engine and citation source views.

3 boards
AI agent framework rank

Reviewed agent frameworks ranked by how often answers to the category's recommendation questions name or cite them, across three model APIs.

Enter your website. In about two minutes, Rank.ai asks ChatGPT, Claude and Gemini 12 questions your customers ask and grades how often they name you.

  • Your grade out of 100How often AI names you, cites your site, and how high it ranks you.
  • Who gets namedEvery competitor in the answers, most named first.
  • The pages AI readsThe sources behind each answer.
  • Three fixesWhat to fix first, with a brief for the first article.