We're in the early days of agentic frameworks, like the pre-PHP web. CGI scripts and webmasters. Eventually the state-of-the-art will slow down and we'll eventually have something elegant like Rails come out.

Until then, every agent framework is completely reinvented every week due to new patterns and new models. evals, ReACT, DSPy, RLM, memory patterns, claws, dynamic context, sandbox strategies. It seems like locking in to a framework is a losing proposition for anyone trying to stay competitive. See also: LangChain trying to be the Next.js/Vercel of agents but everyone recommending building your own.

That said, Anthropic pulls a lot of weight owning the models themselves and probably an easier-to-use solution will get some adoption from those who are better served by going from nothing to something agentic, despite lock-in and the constant churn of model tech

Completely agree re: AI chatbot/RAG being just like the pre-PHP web world. There's a hundred half baked solutions floating on blogs and github but not a coherent dominant framework that puts it all together properly. Langchain is close but still feels a bit abstract and DIY.

That plus everyone is using 5 different vector DBs and reranking models from different vendors than the answer models etc.