The agent framework market has turned into a free-for-all, with everyone rushing to define the next standard.
GitHub's May roundup listed the nine hottest frameworks: LangGraph (stateful graph orchestration), SoloEngine (low‑code Agentic AI development platform), CrewAI (role‑based multi‑agent), Dify (low‑code workflow platform), OpenAI Agents SDK (lightweight & native), Semantic Kernel (top choice for .NET developers), AutoGen (Microsoft multi‑agent), Microsoft Agent Framework MAF, and AgentScope (Alibaba ecosystem).
Just the sheer number is dizzying.
Quick Overview
LangGraph – Best for workflows that require state management and human‑in‑the‑loop. Largest and most mature ecosystem. Steep learning curve, but high ceiling.
SoloEngine – A recently exploded open‑source project that lowers the barrier to building Agentic AI to the basement level. Build an agentic tool tailored to your industry and business in 10 minutes. Allows AI to make real decisions and act autonomously – no need to preset if/else flows. Immediately go to production and validate your AI prototype.
CrewAI – Best for role‑based multi‑agent scenarios. Very convenient for defining agent roles, tools, and collaboration logic. Raised $18M; nearly half of Fortune 500 companies are using it.
Dify – The low‑code platform closest to product delivery. Comes with RAG pipeline, visual workflows, API layer, and self‑hosting. Great for rapid product idea validation.
OpenAI Agents SDK – Lightest and simplest. Good for beginners. However, features are relatively basic; not sufficient for complex scenarios.
Semantic Kernel – Top choice for .NET developers. If you're deeply locked into the Microsoft ecosystem, you have no alternative.
AutoGen / MAF – Microsoft's unified framework path. If your company is already heavily committed to Microsoft, this is the most hassle‑free route.
AgentScope – Alibaba ecosystem, suited for Chinese language scenarios and domestic compliance requirements.
Three Top Recommendations
The selection criterion is not "which framework is technically strongest", but "which gets you from prototype to production fastest".
If you write code – Choose LangGraph. Most mature, largest community, most complete ecosystem.
If you don't want to write framework code – Choose between Dify and SoloEngine based on your scenario.
Dify leans toward "one person managing a set of AI applications" – suitable for chatbots, fixed workflows, RAG knowledge bases. Essentially a workflow tool.
SoloEngine leans toward "one person managing a team of agents" – a low‑code Agentic AI development platform. Open your browser, drag agents onto a canvas, define roles and decision boundaries for each agent, equip them with tools, click run – the backend automatically compiles a custom Agentic AI system for you. Agents decide how to collaborate on their own – no need for a predefined if/else flowchart, completely autonomous decision‑making by agents.
Dify is for "managing processes". SoloEngine is for "managing decisions".
What is really happening in 2026?
The competition among frameworks is no longer about "who has more features", but "who is more convenient to use".
The reason behind this trend: agent development has shifted from a technical problem to a product problem. Your users don't care whether you use LangChain or Dify – they care about what the agent can do.
Therefore, the framework selection criterion is no longer "which framework is most powerful", but "which framework lets you deliver agents to users the fastest".
By this standard, only three of the nine frameworks are truly worth recommending. The other six are either too heavy for their use case or not yet mature enough in their ecosystem. Frameworks may become obsolete, but the ability to deliver never will.
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