Are LangGraph agents and other agent frameworks becoming obsolete?

Hi all, Over the last 2 years, I’ve built around 10-15 LangGraph agents for very specific tasks in our company. But lately, it feels like all that work isn’t really maintainable for a single AI/agent engineer. Plus, with the new gen models, a lot of these agents feel obsolete—like most of these tasks could just be handled by a single agentic LLM in a simple loop. Sure, breaking out of a task is harder with frameworks like LangGraph, where you have predefined paths, but for small, low-risk tasks—like "check all tickets created in the last 2 hours, look for relevant info in Confluence, and add it as a comment"—I don’t see why you’d need a full LangGraph or CrewAI agent. It seems way more mature to just have one open agent with some MCP tools. This single agent could handle so many different tasks. I’m not saying you should let the agent do *everything* you throw at it (prompt injection and context overload are real risks), but an "IT-managed agent" where *we* define the system prompts, pre-check inputs with another LLM, and only expose the agent via a controlled endpoint for certain users… I don’t see many downsides compared to those complex, predefined LangGraph agents.