Is there no need for "Little Crayfish"? Codex is the ultimate solution?

Yesterday, I finally asked a friend to help me install and use Little Crayfish, and he asked me: Do you have Codex? I said yes, in GPT.
He told me to download it, and after logging in, I realized—this is just a GPT version app? The more I learned, the more excited I became, unstoppable. Codex seems to completely cover most of Little Crayfish's functions—when truly immersed in collaboration with AI, I finally felt the kind of excitement and thrill that everyone describes.
Another group member was even more intense: The expert said Codex is the most okay tool, and you've already reached the endgame with this step. Huh? Curiosity prompted me to research the differences between OpenClaw and Codex:

If OpenClaw is a "clone," then Codex is your "another brain"👇
Codex is essentially a large model responsible for thinking, coding, and decision-making,
OpenClaw is more like an execution framework, responsible for clicking buttons and running processes.
The problem is: if the brain isn't strong enough, even the best body just flails around. Many people say OpenClaw isn't good, but it's not that it doesn't work; it's that most people are using "ordinary models," resulting in automation being automated, but also messing things up, and debugging costs rising.
With a powerful model like Codex, many complex tasks don't even require an agent—just one step to completion. The model's capability determines the ceiling~
As long as you learn slowly, there's still value in the saying "No need to learn if you can learn slowly"😄