Reviewed agent frameworks ranked by how often answers to the category's recommendation questions name or cite them, across three model APIs.
AI agent frameworks
Agent Frameworks engine disagreement by prompt
100.0%
Recommend a cloud-native agent development framework with managed deployment, identity, security controls, and model flexibility. ranks first
Cross engine brand disagreement
12
Prompts ranked
Sep 14
Snapshot recorded
2026 · Rotating schedule
3
Answers behind each row
From the OpenAI, Anthropic and Google model APIs
All 12 prompts by cross engine brand disagreement
Recommend a cloud-native agent development framework with managed deployment, identity, security controls, and model flexibility. leads at 100.0%; the middle of the board sits at 83.3%.
- Ahead of second place
- 0%
- Held by the top three
- 34%
- Middle of the board
- 83.3%
- Below half the leader
- 2 of 12
- 1Recommend a cloud-native agent development framework with managed deployment, identity, security controls, and model flexibility.100.0%
- 2Recommend a framework for role-based multi-agent teams, explicit handoffs, delegation, and human approval steps.100.0%
- 3When should an engineering team adopt an agent framework instead of building a tool-calling loop directly on a model API?100.0%
- 4Which TypeScript toolkit is best for streaming agent interfaces, tool calling, structured data, and multiple model providers?88.9%
- 5What are the best open-source frameworks for building reliable AI agents in a production application?85.7%
- 6How should a team compare AI agent frameworks for abstraction overhead, model portability, lock-in, and debugging complexity?83.3%
- 7Recommend a Python-first agent framework with typed dependencies, structured outputs, tool validation, and testability.83.3%
- 8Which agent framework is best for retrieval-heavy applications that use documents, data connectors, indexes, and citations?70.0%
- 9Which enterprise agent framework is strongest for .NET or Java teams that need plugins, governance, telemetry, and orchestration?66.7%
- 10Which reliability criteria matter when choosing an agent framework, including state, retries, tracing, and deterministic tests?66.7%
- 11What is the best framework for durable stateful agent graphs with checkpointing, retries, memory, and human-in-the-loop control?44.4%
- 12How should a company evaluate maintainer commitment, licensing, release stability, and migration risk in an agent framework?0.0%
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.
leading brand owned citation gap: 0 on 7 of 12 rows · 3 checks behind each row · 100% confidence across rows.
Compare brands
One brand against up to three competitors, answer by answer
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
| Brand | Named or cited | Against primary | Share of compared | Mentions | Answers citing it | Links to its site | Model APIs |
|---|---|---|---|---|---|---|---|
| LangGraph / Deep Agentslangchain.com | 36.1%13 of 36 | Primary | 72.2% | 22 | 10 | 12 | 3 of 3 |
| LlamaIndexllamaindex.ai | 11.1%4 of 36 | -25.0 pts | 22.2% | 12 | 1 | 1 | 3 of 3 |
| OpenAI Agents SDKopenai.com | 2.8%1 of 36 | -33.3 pts | 5.6% | 1 | 0 | 0 | 1 of 3 |
| Claude Agent SDKanthropic.com | 0.0%0 of 36 | -36.1 pts | 0.0% | 0 | 0 | 0 | 0 of 3 |
Every answer
Which compared brands each answer names
| Question | OpenAIopenai/gpt-4o-mini | Anthropicanthropic/claude-haiku-4-5 | Geminigoogle/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 sources f736fd64 | None named 0 sources a6011974 | LangGraph / Deep Agents, cited 1OpenAI Agents SDK 6 sources 30488435 |
| 02Recommend a Python-first agent framework with typed dependencies, structured outputs, tool validation, and testability.Recommendation | None named 6 sources 0a93806d | LangGraph / Deep Agents 5 sources c99bde45 | None named 5 sources 8ec5300a |
| 03Which TypeScript toolkit is best for streaming agent interfaces, tool calling, structured data, and multiple model providers?Recommendation | None named 8 sources dda87429 | None named 0 sources f09a530c | None named 7 sources aedcdcf7 |
| 04Recommend a framework for role-based multi-agent teams, explicit handoffs, delegation, and human approval steps.Recommendation | None named 8 sources 6b63d488 | None named 0 sources 84227f68 | LangGraph / Deep Agents, cited 1 8 sources 23fecae1 |
| 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 sources bab619ea | LangGraph / Deep Agents 0 sources 53e4b182 | LangGraph / Deep Agents 9 sources 3064d4a5 |
| 06Which enterprise agent framework is strongest for .NET or Java teams that need plugins, governance, telemetry, and orchestration?Recommendation | None named 5 sources 41aa6e2b | None named 0 sources 08ecea2f | None named 9 sources 56d2c0fe |
| 07Recommend a cloud-native agent development framework with managed deployment, identity, security controls, and model flexibility.Recommendation | LangGraph / Deep Agents, cited 1 5 sources 57eaa9d0 | None named 0 sources 53fb8a40 | None named 7 sources 65dc78f4 |
| 08Which agent framework is best for retrieval-heavy applications that use documents, data connectors, indexes, and citations?Recommendation | LlamaIndex 4 sources 3ee715c7 | LlamaIndex, cited 1 3 sources a818595e | LangGraph / Deep Agents, cited 1LlamaIndex 5 sources 04c14517 |
| 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 sources 9baa4355 | None named 0 sources 506d6fd4 | LangGraph / Deep Agents, cited 1LlamaIndex 6 sources 4d209a67 |
| 10Which reliability criteria matter when choosing an agent framework, including state, retries, tracing, and deterministic tests?Commercial comparison | None named 8 sources ad62cdcd | None named 0 sources d2bffe8a | LangGraph / Deep Agents, cited 1 6 sources 2b425631 |
| 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 sources 06b2ca23 | None named 0 sources dd1d48fe | None named 6 sources 548af730 |
| 12How should a company evaluate maintainer commitment, licensing, release stability, and migration risk in an agent framework?Commercial comparison | None named 4 sources cf99c3b8 | None named 0 sources 1598be49 | None named 6 sources 7caf0102 |
Sources
The sites these answers cite
| Site | Answers citing it | Distinct pages | Model APIs | Best position |
|---|---|---|---|---|
| langchain.com | 10 | 3 | 2 | 1 |
| youtube.com | 7 | 7 | 3 | 1 |
| reddit.com | 7 | 7 | 2 | 2 |
| pub.towardsai.net | 6 | 5 | 2 | 1 |
| github.com | 6 | 4 | 2 | 1 |
| langfuse.com | 5 | 1 | 2 | 2 |
| learn.microsoft.com | 4 | 4 | 2 | 1 |
| rank.ai | 4 | 4 | 2 | 1 |
| medium.com | 4 | 4 | 2 | 2 |
| mastra.ai | 4 | 3 | 2 | 1 |
| arxiv.org | 3 | 3 | 2 | 1 |
| braintrust.dev | 3 | 3 | 2 | 2 |
| arize.com | 3 | 1 | 2 | 1 |
| firecrawl.dev | 3 | 1 | 2 | 1 |
| monday.com | 3 | 1 | 2 | 4 |
| ai-sdk.dev | 2 | 3 | 2 | 1 |
| linkedin.com | 2 | 3 | 2 | 5 |
| cloud.google.com | 2 | 2 | 2 | 1 |
| dev.to | 2 | 2 | 2 | 2 |
| developersdigest.tech | 2 | 2 | 2 | 2 |
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
Recommend a framework for role-based multi-agent teams, explicit handoffs, delegation, and human approval steps. on Agent Frameworks Engine Disagreement by Prompt
Derives prompt-level brand leaders, cross-engine brand-set disagreement, and leading-brand owned-citation opportunity from the complete public Rank.ai benchmark cohort.
2
Rank on this board
100 percent
Score
3
Answers behind the score
100% confidence · 1 of 1 components evidenced
What the score is built from
1 of 1 evidencedEvery component evidenced · 1 evidence record each
| Component | Value | Contribution |
|---|---|---|
| Engine disagreement | 100 | 100 |
Unchanged since the previous snapshot
No change in rankNo component moved since the previous snapshot.
Where each number comes from
7 public recordsReviewed-brand presence eventsPresence events · observed Sep 14, 2026, 12:00 AM UTC4 presence_events100% confidence
- Source
- Rank.ai Agent Frameworks Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"promptSlug":"multi-agent-handoffs-framework","corpusVersion":"ai-agent-frameworks-2026-07-27","runArtifactIds":["057ec17c-7569-41b7-9ee3-7643bf282937","175a72eb-a027-4671-8f32-284c64fe7ba3","f198a76f-31ba-4973-b3e2-f020f688e429"],"parentSnapshotId":"17b304d1-ac2a-4eff-847c-74cdc49085bb","providerMatrixVersion":"64232fd32583"}
Distinct citation URLsCitation URLS · observed Sep 14, 2026, 12:00 AM UTC16 urls100% confidence
- Source
- Rank.ai Agent Frameworks Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"promptSlug":"multi-agent-handoffs-framework","corpusVersion":"ai-agent-frameworks-2026-07-27","runArtifactIds":["057ec17c-7569-41b7-9ee3-7643bf282937","175a72eb-a027-4671-8f32-284c64fe7ba3","f198a76f-31ba-4973-b3e2-f020f688e429"],"parentSnapshotId":"17b304d1-ac2a-4eff-847c-74cdc49085bb","providerMatrixVersion":"64232fd32583"}
Distinct reviewed brands surfacedDistinct reviewed brands · observed Sep 14, 2026, 12:00 AM UTC4 brands100% confidence
- Source
- Rank.ai Agent Frameworks Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"promptSlug":"multi-agent-handoffs-framework","corpusVersion":"ai-agent-frameworks-2026-07-27","runArtifactIds":["057ec17c-7569-41b7-9ee3-7643bf282937","175a72eb-a027-4671-8f32-284c64fe7ba3","f198a76f-31ba-4973-b3e2-f020f688e429"],"parentSnapshotId":"17b304d1-ac2a-4eff-847c-74cdc49085bb","providerMatrixVersion":"64232fd32583"}
Cross-engine brand disagreementEngine disagreement · observed Sep 14, 2026, 12:00 AM UTC100 percent100% confidence
- Source
- Rank.ai Agent Frameworks Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"promptSlug":"multi-agent-handoffs-framework","corpusVersion":"ai-agent-frameworks-2026-07-27","runArtifactIds":["057ec17c-7569-41b7-9ee3-7643bf282937","175a72eb-a027-4671-8f32-284c64fe7ba3","f198a76f-31ba-4973-b3e2-f020f688e429"],"parentSnapshotId":"17b304d1-ac2a-4eff-847c-74cdc49085bb","providerMatrixVersion":"64232fd32583"}
Leading-brand engine consensusLeading brand consensus · observed Sep 14, 2026, 12:00 AM UTC33.333 percent100% confidence
- Source
- Rank.ai Agent Frameworks Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"promptSlug":"multi-agent-handoffs-framework","corpusVersion":"ai-agent-frameworks-2026-07-27","runArtifactIds":["057ec17c-7569-41b7-9ee3-7643bf282937","175a72eb-a027-4671-8f32-284c64fe7ba3","f198a76f-31ba-4973-b3e2-f020f688e429"],"parentSnapshotId":"17b304d1-ac2a-4eff-847c-74cdc49085bb","providerMatrixVersion":"64232fd32583"}
Leading-brand owned-citation coverageLeading brand owned citation coverage · observed Sep 14, 2026, 12:00 AM UTC33.333 percent100% confidence
- Source
- Rank.ai Agent Frameworks Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"promptSlug":"multi-agent-handoffs-framework","corpusVersion":"ai-agent-frameworks-2026-07-27","runArtifactIds":["057ec17c-7569-41b7-9ee3-7643bf282937","175a72eb-a027-4671-8f32-284c64fe7ba3","f198a76f-31ba-4973-b3e2-f020f688e429"],"parentSnapshotId":"17b304d1-ac2a-4eff-847c-74cdc49085bb","providerMatrixVersion":"64232fd32583"}
Leading-brand owned-citation opportunityLeading brand owned citation gap · observed Sep 14, 2026, 12:00 AM UTC0 percentage_points100% confidence
- Source
- Rank.ai Agent Frameworks Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"promptSlug":"multi-agent-handoffs-framework","corpusVersion":"ai-agent-frameworks-2026-07-27","runArtifactIds":["057ec17c-7569-41b7-9ee3-7643bf282937","175a72eb-a027-4671-8f32-284c64fe7ba3","f198a76f-31ba-4973-b3e2-f020f688e429"],"parentSnapshotId":"17b304d1-ac2a-4eff-847c-74cdc49085bb","providerMatrixVersion":"64232fd32583"}
More in AI agent frameworks
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Reviewed frameworks ranked by the share of all the category's answers that name or cite them.
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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.