LangChain surged past 110,000 GitHub stars. AutoGen, CrewAI, LangGraph, and AutoGPT compete for developer mindshare. No clear winner. Each framework offers different architectural approaches, different trade-offs, different opinions about what agent orchestration should look like.
The horizontal fragmentation is doing exactly what vertical platforms need it to do: absorbing all the hard, messy, uncertain work of figuring out which agent capabilities actually matter. When patterns emerge from that chaos, vertical platforms can simply adopt them without having taken any of the risk.
We build enterprise web agent infrastructure at TinyFish. When we're operating agents that monitor thousands of external sites, we're stress-testing which orchestration patterns actually work at scale. Which state management approaches handle failures gracefully. Which coordination primitives matter for multi-agent workflows.
Expensive, uncertain work. No guarantee any particular approach will prove out.
Vertical platforms don't need to do this work. They can wait. Watch which horizontal frameworks gain traction. See which architectural patterns developers actually adopt in production. Then integrate the proven approaches without having invested in the experimentation phase.
LangGraph's stateful graphs emerged because developers discovered that linear chains don't work for complex agent workflows. That's valuable learning—and it came from thousands of developers trying different approaches, failing, iterating. ServiceNow didn't need to fund that research. The horizontal ecosystem did it for them. Now ServiceNow can look at LangGraph's adoption and decide whether stateful graphs matter enough to integrate.
Horizontal frameworks absorb experimentation risk and generate learning. Vertical platforms observe which patterns prove out and integrate them selectively.
Every framework competing for developer mindshare is generating learning about what works and what doesn't. Vertical platforms observe this learning without participating in the risk. They get to see which bets pay off before placing their own.
Horizontal frameworks bear the cost of experimentation. They invest in architectural approaches that might not prove out. They build capabilities that might not find product-market fit. They take technical risk trying to solve problems that might not be worth solving.
Vertical platforms avoid all that risk. They operate within known workflow boundaries where requirements are well-understood. They can deploy agents to existing customers without experimenting with novel orchestration patterns. And when horizontal frameworks discover genuinely valuable capabilities, vertical platforms can integrate them selectively—taking only the proven approaches and leaving the failed experiments behind.
When we're building infrastructure that operates across external systems, we're part of this experimentation. We're discovering that authentication across regional variations requires constant adaptation. That bot detection breaks workflows in ways you can't predict. That session management at scale needs careful state tracking. These learnings inform which infrastructure capabilities actually matter—and vertical platforms can observe these patterns without having built them.
Horizontal frameworks absorb experimentation risk and generate learning. Vertical platforms observe which patterns prove out and integrate them selectively. The fragmentation isn't market failure—it's a distributed research project that vertical platforms benefit from without funding.
ServiceNow and Salesforce aren't worried about horizontal competition. They're not competing with LangChain or AutoGen. They're watching them. Waiting to see which architectural approaches gain real traction. Then integrating the proven patterns when the market has already validated them.
The horizontal chaos serves vertical platforms by doing the hard work of discovery. Every framework that gains developer adoption reveals something about which agent capabilities matter. Every framework that fades away reveals something about which problems weren't worth solving. Vertical platforms learn from both outcomes without having invested in either.
Vertical platforms win by letting horizontal frameworks take experimentation risk, then integrating proven approaches once the market has validated them. The fragmentation isn't a bug in the agent ecosystem—it's a feature that benefits vertical platforms more than anyone else.

