This week half my feed is people switching AI models. A new one drops, the old one gets throttled, everyone re-evaluates their setup. It happens every few weeks now.
Watch those threads long enough and you notice the real complaint underneath. It is not the model. It is that switching costs you everything you had built up: your rules, your context, what the last agent figured out. All of it lived inside one tool, and now you are rebuilding it somewhere else.
That is not a model problem. It is a workspace problem.
Think about what an AI coding setup actually is today. You have a chat window. You have your codebase. Maybe a terminal, maybe an IDE extension. And that is it. Nothing sits above them holding the work together.
So where do your decisions live? The reasons you chose one approach over another? What you already tried that did not work? What another agent, in another window, concluded an hour ago? Nowhere durable. It is scattered across chat histories that each tool keeps to itself, and most of it is gone the moment you close the tab.
Your files are shared already. Claude Code and Codex can both read them. But your files are only the code. They are not the thinking around the code, and the thinking is the part that is expensive to rebuild.
This is why a better model never quite fixes it. A smarter agent is still an agent working alone, with no idea what the others did. Give it your whole repo and it still opens cold on everything that is not in the repo.
What would help is a workspace. Not a chat window. A place the work lives, that every agent reads from and writes to. Concretely, that means a few things.
One shared memory. What one agent learns, the next already knows, even on a different model. You stop re-explaining your project every time you open a new chat.
Visible work. Every task, decision and change is something you can see, not something buried in a chat transcript you will never scroll back through.
Many agents, one project. Claude, Claude Code, ChatGPT and Codex working from the same source of truth, so they stop redoing each other's work.
Continuity. Close your laptop, come back tomorrow, and it picks up exactly where you left off.
None of that is about the model. It sits above the model, which is exactly why no model release touches it.
This is what we are building Memeri to be. Not another memory tool. The workspace your AI coding agents never had, so the next time you switch models, or run three agents at once, the work comes with you instead of starting over.
The model you use will keep changing. Your workspace should not have to.