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AI agent frameworks

Most cited domains in Agent Frameworks answers

88 sites ranked by how often AI answers cite 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

27.8%

langchain.com ranks first

Cited answer coverage

88

Sites ranked

Sep 14

Snapshot recorded

2026 · Rotating schedule

36

Answers behind each row

From the OpenAI, Anthropic and Google model APIs

Follow changes

All 88 sites by cited answer coverage

langchain.com leads at 27.8%; the middle of the board sits at 2.8%.

Ahead of second place
8.3%
Held by the top three
15%
Middle of the board
2.8%
Below half the leader
82 of 88
Highest 27.8%Middle 2.8%
1. langchain.com: 27.8%2. youtube.com: 19.4%3. reddit.com: 19.4%4. github.com: 16.7%5. pub.towardsai.net: 16.7%6. langfuse.com: 13.9%7. rank.ai: 11.1%8. learn.microsoft.com: 11.1%9. mastra.ai: 11.1%10. medium.com: 11.1%11. arxiv.org: 8.3%12. arize.com: 8.3%13. firecrawl.dev: 8.3%14. braintrust.dev: 8.3%15. monday.com: 8.3%16. ai-sdk.dev: 5.6%17. dev.to: 5.6%18. dataaspirant.com: 5.6%19. cloud.google.com: 5.6%20. cncf.io: 5.6%21. myengineeringpath.dev: 5.6%22. developersdigest.tech: 5.6%23. levelup.gitconnected.com: 5.6%24. pydantic.dev: 5.6%25. zylos.ai: 5.6%26. linkedin.com: 5.6%27. preciofishbone.com: 5.6%28. kanerika.com: 5.6%29. cloudsecurityalliance.org: 2.8%30. graphlit.com: 2.8%31. kagent.dev: 2.8%32. layer3labs.io: 2.8%33. olostep.com: 2.8%34. snyk.io: 2.8%35. victordibia.com: 2.8%36. aembit.io: 2.8%37. ankursnewsletter.com: 2.8%38. blogs.oracle.com: 2.8%39. cekuma.com: 2.8%40. cmu.edu: 2.8%41. datagrid.com: 2.8%42. mabl.com: 2.8%43. machinelearningmastery.com: 2.8%44. nhimg.org: 2.8%45. pecollective.com: 2.8%46. speakeasy.com: 2.8%47. devblogs.microsoft.com: 2.8%48. blog.metamirror.io: 2.8%49. bravent.net: 2.8%50. chatbot.com: 2.8%51. iternal.ai: 2.8%52. jamesqquick.com: 2.8%53. jido.run: 2.8%54. leanix.net: 2.8%55. llamaindex.ai: 2.8%56. luxananda.medium.com: 2.8%57. zenml.io: 2.8%58. armosec.io: 2.8%59. ayautomate.com: 2.8%60. deepchecks.com: 2.8%61. domo.com: 2.8%62. instaclustr.com: 2.8%63. keystone.com: 2.8%64. lindy.ai: 2.8%65. media.mit.edu: 2.8%66. opensource.org: 2.8%67. algolia.com: 2.8%68. augmentcode.com: 2.8%69. cycode.com: 2.8%70. memu.pro: 2.8%71. mindstudio.ai: 2.8%72. salesforce.com: 2.8%73. sim.ai: 2.8%74. vercel.com: 2.8%75. wiz.io: 2.8%76. choosealicense.com: 2.8%77. datanorth.ai: 2.8%78. galileo.ai: 2.8%79. metaltoad.com: 2.8%80. truefoundry.com: 2.8%81. vadim.blog: 2.8%82. databricks.com: 2.8%83. fast.io: 2.8%84. towardsdatascience.com: 2.8%85. codecademy.com: 2.8%86. community.deeplearning.ai: 2.8%87. designveloper.com: 2.8%88. docs.langchain.com: 2.8%
Rank 1One bar per published rowRank 88

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.

answers citing it: 1 on 60 of 88 rows · engines: 1 on 61 of 88 rows · 36 checks behind each row.

Most cited domains in Agent Frameworks answers current rankings
RankNameCited answer coverageBest positionTypical positionChangeWhy
01langchain.com27.8%13 2This rank
02youtube.com19.4%17 4This rank
03reddit.com19.4%24.5 2This rank
04github.com16.7%11.5 2This rank
05pub.towardsai.net16.7%14 7This rank
06langfuse.com13.9%23—This rank
07rank.ai11.1%11 7This rank
08learn.microsoft.com11.1%13.5 1This rank
09mastra.ai11.1%14—This rank
10medium.com11.1%26 6This rank
11arxiv.org8.3%11 1This rank
12arize.com8.3%13 5This rank
13firecrawl.dev8.3%13 48This rank
14braintrust.dev8.3%23—This rank
15monday.com8.3%45 57This rank
16ai-sdk.dev5.6%12 6This rank
17dev.to5.6%22.5 43This rank
18dataaspirant.com5.6%13—This rank
19cloud.google.com5.6%14 4This rank
20cncf.io5.6%24 62This rank
21myengineeringpath.dev5.6%44 58This rank
22developersdigest.tech5.6%24.5—This rank
23levelup.gitconnected.com5.6%44.5—This rank
24pydantic.dev5.6%34.5—This rank
25zylos.ai5.6%44.5 14This rank
26linkedin.com5.6%55 18This rank
27preciofishbone.com5.6%55.5 26This rank
28kanerika.com5.6%22—This rank
29cloudsecurityalliance.org2.8%11 29This rank
30graphlit.com2.8%11—This rank
31kagent.dev2.8%11—This rank
32layer3labs.io2.8%11—This rank
33olostep.com2.8%11 30This rank
34snyk.io2.8%11—This rank
35victordibia.com2.8%11—This rank
36aembit.io2.8%22 30This rank
37ankursnewsletter.com2.8%22 22This rank
38blogs.oracle.com2.8%22—This rank
39cekuma.com2.8%22 23This rank
40cmu.edu2.8%22—This rank
41datagrid.com2.8%22—This rank
42mabl.com2.8%22—This rank
43machinelearningmastery.com2.8%22 30This rank
44nhimg.org2.8%22—This rank
45pecollective.com2.8%22—This rank
46speakeasy.com2.8%22—This rank
47devblogs.microsoft.com2.8%22.5—This rank
48blog.metamirror.io2.8%33—This rank
49bravent.net2.8%33 16This rank
50chatbot.com2.8%33—Showing
51iternal.ai2.8%33—This rank
52jamesqquick.com2.8%33—This rank
53jido.run2.8%33—This rank
54leanix.net2.8%33—This rank
55llamaindex.ai2.8%33 18This rank
56luxananda.medium.com2.8%33—This rank
57zenml.io2.8%33—This rank
58armosec.io2.8%44 12This rank
59ayautomate.com2.8%44 52This rank
60deepchecks.com2.8%44 1This rank
61domo.com2.8%44—This rank
62instaclustr.com2.8%44 44This rank
63keystone.com2.8%44—This rank
64lindy.ai2.8%44 20This rank
65media.mit.edu2.8%44—This rank
66opensource.org2.8%44—This rank
67algolia.com2.8%55 22This rank
68augmentcode.com2.8%55—This rank
69cycode.com2.8%55—This rank
70memu.pro2.8%55 32This rank
71mindstudio.ai2.8%55 23This rank
72salesforce.com2.8%55 30This rank
73sim.ai2.8%55—This rank
74vercel.com2.8%45—This rank
75wiz.io2.8%55 6This rank
76choosealicense.com2.8%66—This rank
77datanorth.ai2.8%66—This rank
78galileo.ai2.8%66 59This rank
79metaltoad.com2.8%66—This rank
80truefoundry.com2.8%66—This rank
81vadim.blog2.8%66—This rank
82databricks.com2.8%77 62This rank
83fast.io2.8%77—This rank
84towardsdatascience.com2.8%77 29This rank
85codecademy.com2.8%88—This rank
86community.deeplearning.ai2.8%88—This rank
87designveloper.com2.8%88—This rank
88docs.langchain.com2.8%99 53This rank

Compare brands

One brand against up to three competitors, answer by answer

12 questions × 3 model APIs · recorded Sep 14, 2026
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

12 questions · 36 answers · a blank cell names none of the compared brands
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

Each site is read from the cited address itself.
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

chatbot.com on Most-cited domains in Agent Frameworks answers

Snapshot of Sep 14, 2026, 12:00 AM UTC · Link to this snapshot

Some explanation inputs are unavailable. Not published: the evidence frozen with this snapshot, comparable prior ranking.

Ranks URL-derived citation hostnames in the complete public prompt benchmark without additional provider calls.

50

Rank on this board

2.778 percent

Score

36

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 chatbot.com's score
ComponentValueContribution
Answer coverage2.7777782.778

New in this snapshot

No change in rank

entity_not_ranked_in_prior_snapshot

No component moved since the previous snapshot.

Where each number comes from

7 public records
  • Cited-answer coverageAnswer coverage · observed Sep 14, 2026, 12:00 AM UTC2.778 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
  • Best citation positionBest position · observed Sep 14, 2026, 12:00 AM UTC3 position100% 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
  • Cited answersCited answer · observed Sep 14, 2026, 12:00 AM UTC1 answers100% 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
  • Distinct citation URLsDistinct URL · observed Sep 14, 2026, 12:00 AM UTC1 URLs100% 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 UTC1 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
  • Mean citation positionMean position · observed Sep 14, 2026, 12:00 AM UTC3 position100% 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
  • Median citation positionMedian position · observed Sep 14, 2026, 12:00 AM UTC3 position100% 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
Public Agent Frameworks answer source visibility, version 2-parent-b391f18dce56ed52616 observations · 1 source · quality passed
Snapshot
973e00cb-d495-45ea-b1b4-f1dba3f87394
Data hash
79a9153ced2f9843b284df52e6f5a80efa7c3d19622b7a315e783d868e13eef4
Method hash
90c6f013c1db4c4ca8782d98279cf408fd1f47221be1e73460ab9ed6a3b8b6b9

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.

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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.

See how often AI names you.

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.