# Frameworks in Focus: LangGraph, CrewAI, OpenAI Agents SDK and the Orchestration Order

> AI agent frameworks get ranked three ways, by downloads, by GitHub stars and by production deployments, and the three rankings disagree; here is what the June 2026 data says about LangGraph, CrewAI, the OpenAI Agents SDK and the platforms closing in on them.

- Canonical: https://aiagentinfra.com/articles/ai-agent-frameworks-langgraph-crewai-agents-sdk
- Author: Ryan Elliott Dennis
- Category: Orchestration & Runtime
- Kind: Reference article
- Last verified: 2026-09-04
- Keywords: AI agent frameworks, LangGraph, CrewAI, OpenAI Agents SDK, Google ADK, Microsoft Agent Framework, best agent framework 2026, LangGraph vs CrewAI, agent orchestration

> "everything you need to build, deploy, and optimize agent workflows with way less friction" — Sam Altman, CEO of OpenAI, introducing AgentKit at DevDay (TechCrunch, Oct. 6, 2025)

Thirty-four and a half million monthly downloads for LangGraph against 10.3 million for the OpenAI Agents SDK: that was the count in Firecrawl's June 5, 2026, survey of open-source agent frameworks, eight months after Sam Altman introduced AgentKit at DevDay on Oct. 6, 2025, as "everything you need to build, deploy, and optimize agent workflows with way less friction," according to TechCrunch. The gap between the promise and the download ledger is the subject here. AI agent frameworks are ranked three ways, by downloads, by GitHub stars and by production deployments, and the three rankings name three different leaders, which tells buyers more about the market than any single scoreboard does. This article sets the June 2026 numbers side by side, reads them against LangChain's 1,340-respondent production survey, tracks the platform entrants from OpenAI, Google, Microsoft and AWS, and argues that orchestration is commoditizing around a small set of primitives that still separate the frameworks worth paying for.

## AI Agent Frameworks by the Numbers: Downloads, Stars and Deployments

Firecrawl's Bex Tuychiev compiled the figures below from package registries and GitHub in a piece updated June 5, 2026. Three leaders emerge. LangGraph leads on downloads and enterprise deployment, Dify leads on stars, and AutoGen holds the second-largest star count with under 1 million monthly downloads, a ratio that says its audience reads more than it ships.

| Framework | GitHub stars | Monthly downloads | Signal |
|---|---|---|---|
| LangGraph (LangChain) | 33.9K | 34.5M | About 400 companies on LangGraph Platform, including Cisco, Uber, LinkedIn, BlackRock and JPMorgan |
| OpenAI Agents SDK | 26.9K | 10.3M | Built on the Responses API; AgentKit tooling layered above it |
| CrewAI | 52.8K | 5.2M | A2A support listed by the Linux Foundation, April 9, 2026 |
| Google ADK | 20K | 3.3M | v1.0 stable in Python, Go and Java, April 22, 2026 |
| AutoGen (Microsoft) | 58.7K | 856K | Merging with Semantic Kernel (28.1K stars) into Microsoft Agent Framework |
| Smolagents (Hugging Face) | 27.7K | About 2.5M | Minimal codebase, model-agnostic |
| Mastra (TypeScript) | 24.8K | 1.77M via npm | $13M seed; Replit and Marsh McLennan deployments reported by Firecrawl |
| Haystack (deepset) | 25.5K | About 1.5M | Pipeline-first design from the RAG era |
| Dify | 144K | Docker-distributed; PyPI count outside the dataset | Star leader with a visual builder |

Stars measure curiosity. Downloads measure CI pipelines and production images pulling a dependency every build, which is why the two rankings diverge by an order of magnitude for AutoGen and converge for LangGraph. Exploding Topics estimates 201,000 monthly searches for "LangGraph," up 533%, a proprietary figure useful as an ordinal signal that search demand attaches to framework brand names and to the category term itself far less.

## LangGraph vs CrewAI vs OpenAI Agents SDK: What Production Evidence Shows

LangChain's "State of Agent Engineering" survey, fielded Nov. 18 to Dec. 2, 2025, with 1,340 respondents, found 57% of teams running agents in production, rising to 67% at organizations with 10,000-plus employees. Quality was the top barrier at 33%, latency second at 20%, and security was cited by 24.9% of enterprises above 2,000 employees. More than two-thirds used OpenAI models, 75%-plus used multiple models, and 57% skipped fine-tuning. The survey is vendor-run and its respondents skew toward LangChain's own community, so the 57% production figure describes early adopters and sits well above Menlo Ventures' Dec. 9, 2025, finding that 16% of enterprise deployments qualify as true agents, most being fixed-sequence workflows. McKinsey's Aug. 25, 2026, global survey of 1,719 respondents put agent scaling at 40% of enterprises above $1 billion in revenue against 22% of smaller organizations. Three surveys, three denominators.

The same survey exposed an instrumentation gap. Eighty-nine percent of respondents had observability in place and 62% detailed tracing, while 52.4% ran offline evaluations and 37.3% ran online ones, a 37-point spread between watching agents and testing them that O'Reilly's June 8, 2026, stack piece singled out as the defining weakness of the tooling layer. Frameworks that ship evaluation hooks therefore sell into a known deficit. Model choice compounds the picture: Menlo Ventures put enterprise LLM API share at Anthropic 40%, OpenAI 27% and Google 21% in December 2025, so a framework welded to one vendor's models addresses at most 40% of enterprise API spend, and the survey's 75%-plus multi-model figure explains why every framework in the table advertises model neutrality. Neutrality is table stakes. Distribution decides.

Capital followed the download leader. LangChain raised $125 million at a $1.25 billion valuation on Oct. 21, 2025, in a Series B led by IVP with CapitalG, Sapphire, Sequoia, Benchmark and Amplify, with 118,000 GitHub stars across its projects and revenue for LangGraph Platform and LangSmith kept private, per TechCrunch. CrewAI's 52.8K stars outrank LangGraph's 33.9K while its downloads trail 6.6 to 1, the cleanest illustration in the dataset that a star is a bookmark and a download is a build. The OpenAI Agents SDK sits between them with 10.3 million downloads and a structural advantage beyond its rivals' reach: it ships from the vendor whose models more than two-thirds of surveyed teams already call.

## Platform Plays: AgentKit, Google ADK 1.0 and the Microsoft Agent Framework

AgentKit bundled Agent Builder, ChatKit, Evals for Agents and a Connector Registry on top of the Responses API, which Altman said hundreds of thousands of developers already used, on the day OpenAI reported 800 million weekly ChatGPT users; an OpenAI engineer built a two-agent workflow on stage in under eight minutes. Google's Agent Development Kit reached stable v1.0 across Python, Go and Java at Cloud Next on April 22, 2026, with TypeScript available, alongside the Gemini Enterprise Agent Platform, a Workspace Studio visual builder, managed MCP servers and general availability for Agent Engine Sessions and Memory Bank, according to The Next Web. AutoGen and Semantic Kernel are being folded into the Microsoft Agent Framework; coverage of its general availability runs through mid-2026, and the exact GA date stands outside what this article could verify against a primary source. Microsoft said on July 29, 2026, that Azure AI Foundry had passed 100,000 customers with revenue more than doubling year over year. AWS made Bedrock AgentCore generally available on Oct. 13, 2025, with Runtime, Memory, Gateway, Identity and Observability modules, nine regions and support for both A2A and MCP.

Each platform framework arrives welded to a runtime, a model catalog and a billing meter. That is the competitive move. An open-source framework sells convenience and charges for the managed platform behind it; a hyperscaler framework gives the convenience away and charges for everything the agent touches.

## The Orchestration Order: Why Frameworks Commoditize and What Still Differentiates

Primitives AI argued on March 6, 2026, that orchestration is becoming a commodity, and the download table supports the claim in one respect: nine frameworks now offer the same loop of plan, call tools, observe, repeat, and the loop itself has stopped being a moat. O'Reilly's June 8, 2026, stack analysis added the technical reason, observing that reasoning models moved agents "from multistep chains to single-call solutions," so a growing share of what frameworks once orchestrated now happens inside one model invocation. Four primitives resist commoditization. Durable execution, the ability to checkpoint a long-running agent and resume it after a crash or a week-long approval wait, separates LangGraph's platform pitch from a bare SDK. State persistence across turns, which Google made a managed product with Memory Bank, decides whether an agent remembers the user it served yesterday. Human-in-the-loop primitives, interrupts and approvals with an audit trail, address the quality barrier that 33% of LangChain's respondents named first. Protocol support, A2A and MCP as first-class citizens, decides whether an agent built today can talk to the 150-plus A2A organizations and 10,000-plus MCP servers already deployed; the Linux Foundation listed LangGraph and CrewAI among the A2A-supporting platforms on April 9, 2026.

Framework choice is therefore a runtime choice in disguise. Teams asking which is the best agent framework in 2026 are asking where state lives, who bills for idle time and which protocols the gateway speaks, and the frameworks that answer those questions with managed services will keep converting downloads into revenue while the rest convert stars into forks.

## What to Watch

Firecrawl's next refresh will show whether the OpenAI Agents SDK closes the download gap with LangGraph, which would confirm that model-vendor distribution beats framework neutrality. Microsoft's general-availability date for the Agent Framework, once published, will mark the moment AutoGen's 58.7K stars migrate or decay. LangChain's next survey should be read for the production figure at organizations below 2,000 employees, where the 57% headline hides most of the variance. The revenue question stays open: LangChain's platform revenue remains private, and the first disclosure of LangGraph Platform pricing at scale will price durable execution as a category. Watch the adjacent commoditization signal too, the point at which the four primitives above appear inside ADK, AgentCore and Foundry as default settings, because that is when the orchestration order finishes collapsing into the runtime layer beneath it.

## By the numbers

- LangGraph monthly downloads: 34.5M — Against 33.9K GitHub stars and about 400 companies on LangGraph Platform; Firecrawl, June 5, 2026 [1]
- OpenAI Agents SDK monthly downloads: 10.3M — 26.9K GitHub stars; Firecrawl, June 5, 2026 [1]
- CrewAI GitHub stars: 52.8K — 5.2M monthly downloads; stars outrank LangGraph, downloads trail it 6.6 to 1 [1]
- Teams with agents in production: 57% — LangChain State of Agent Engineering survey, 1,340 respondents, Nov. 18 to Dec. 2, 2025 [4]
- LangChain valuation: $1.25B — $125M Series B led by IVP, Oct. 21, 2025 [3]

## Sources

1. Bex Tuychiev, "The best open source frameworks for building AI agents in 2026," Firecrawl, June 5, 2026. https://www.firecrawl.dev/blog/best-open-source-agent-frameworks
2. "OpenAI launches AgentKit to help developers build and ship AI agents," TechCrunch, Oct. 6, 2025. https://techcrunch.com/2025/10/06/openai-launches-agentkit-to-help-developers-build-and-ship-ai-agents
3. "Open source agentic startup LangChain hits $1.25B valuation," TechCrunch, Oct. 21, 2025. https://techcrunch.com/2025/10/21/open-source-agentic-startup-langchain-hits-1-25b-valuation
4. "State of Agent Engineering," LangChain, Survey fielded Nov. 18 to Dec. 2, 2025. https://www.langchain.com/state-of-agent-engineering
5. Alina Maria Stan, "Google just launched its agentic enterprise play, and it runs from chip to inbox," The Next Web, April 22, 2026. https://thenextweb.com/news/google-cloud-next-ai-agents-agentic-era
6. "A2A Protocol Surpasses 150 Organizations, Lands in Major Cloud Platforms, and Sees Enterprise Production Use in First Year," Linux Foundation, April 9, 2026. https://www.linuxfoundation.org/press/a2a-protocol-surpasses-150-organizations-lands-in-major-cloud-platforms-and-sees-enterprise-production-use-in-first-year
7. "The AI Agent Infrastructure Stack: Who's Building the Picks & Shovels," Primitives AI, March 6, 2026. https://primitivesai.substack.com/p/the-ai-agent-infrastructure-stack
8. Paolo Perrone, "The AI Agents Stack (2026 Edition)," O'Reilly Radar, June 8, 2026. https://www.oreilly.com/radar/the-ai-agents-stack-2026-edition/
9. "LangGraph," Exploding Topics, Accessed Sept. 4, 2026. https://explodingtopics.com/topic/langgraph
10. "Microsoft Fiscal Year 2026 Fourth Quarter Earnings," Microsoft Investor Relations, July 29, 2026. https://www.microsoft.com/en-us/investor/events/fy-2026/earnings-fy-2026-q4
11. "Amazon Bedrock AgentCore is now generally available," AWS What's New, Oct. 13, 2025. https://aws.amazon.com/about-aws/whats-new/2025/10/amazon-bedrock-agentcore-available
12. "Menlo Ventures 2025 State of Generative AI Report: Enterprise Investment Hit $37B in 2025, Tripling in One Year," GlobeNewswire, Dec. 9, 2025. https://www.globenewswire.com/news-release/2025/12/09/3202258/0/en/Menlo-Ventures-2025-State-of-Generative-AI-Report-Enterprise-Investment-Hit-37B-in-2025-Tripling-in-One-Year.html
13. "The State of AI: Global Survey 2026," McKinsey, Aug. 25, 2026. https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai