It's the same that I've converged on: Agents are LLMs with agency, ie. can effect actions (by being connected to tools, APIs, etc). I break out the offerings into two groups: 1. those that are pre-built for specific tasks/areas (or can be no/low-code scripted using pre-built bits), 2. those that can be custom built to connect to you specific API/actions.
Another version of Agents is described in the paper "Agent Hospital: A Simulacrum of Hospital with Evolvable Medical Agents"[0] where instead of having one LLM prompted context, you create many that specialize in different areas, and have them communicate to distribute a task. The effect is that the outcome is higher quality than trying to use a single automated LLM.