TL;DR: When a weekly limit stops one AI account, serious users switch - and the context stays behind. Handoff files in git are the community's fix, and they work. A context layer is the portable version: your context stored once, outside every account, read by all of them.
A thread on r/codex lit up over paid usage resets, and the top comment tells you more about how people use AI in 2026 than any pricing page: "I have three $200 subscriptions."
Serious users spread their work across Claude, Codex, local models, and sometimes a second account on the same service. When one account hits its limit mid-task, they switch to another. The problem: the new session knows nothing. Not the task. Not the project. Not you.
What does a context layer do?
Your context is everything an AI needs to know to be useful to you: who you are, how you work, what you are working on. Today, each AI account keeps its own copy of that - or no copy at all. So every switch starts from zero.
A context layer stores your context once, outside all of your accounts. Every AI you connect reads the same one.
Every account keeps its own memory.
- Claude #1 knows you. The rest start blank.
- Every switch starts from zero.
- You cannot move it between accounts.
Your context, stored once, read by all.
- Claude, ChatGPT and Codex read the same one.
- Switch accounts - it follows you.
- You own it, edit it, revoke it.
What changed with Codex weekly limits?
Codex has a weekly usage limit that refills on its own about every seven days. The new part, users report, is that you can now pay to reset it early. Around $8 on some Plus accounts. $80 for a full weekly reset on the $200 Pro plan. We could not find these prices in OpenAI's published documentation, so treat them as user reports. The mechanism itself is documented: a reset refills your usage and moves your next weekly reset about seven days out - a moved anchor, not a bonus week. Buying ordinary credits, per OpenAI's docs, does not reset the window.
Compute costs real money. Fair enough. The interesting part is what the frustration in that thread reveals: how these people actually work.
What is the AI handoff file the community uses?
People in that thread solve it with files in git: handoff notes written at session end, hooks that keep a running context.md fresh, Claude Code /export zips, and "an append only shared task folder for multi account continuity." It works - the state lives in files the user owns.
Where does it strain?
A handoff file carries the task, not you. Who you are, how you work, which documents matter - pasted into every tool again, and invisible to any tool that cannot read files. Our founder ran six AI accounts: "Had started to lose my mind in .md files on my base repo."
How do you switch between ChatGPT and Claude without losing context?
Give every tool the same place to read. UseMyContext.ai stores your profile, facts and files once; any AI that speaks MCP reads them - Claude, ChatGPT, Gemini, Perplexity, and the account you switch to next. One commenter who runs this setup: "Usemycontext.ai would be a good addition to those as well. And it works across all my current subs."
Keep your handoff files - they carry the task. Put the lasting part in a context you own, split into projects, and connect each AI once.
He is honest about the limits too: "trash in, trash out and multi account connection." A context layer fixes the second outright. The first is on you - but one clean copy beats five stale ones.
The limit decides when you switch. Your context should not care.
FAQ
Does paying for a Codex reset restore my context?
No. A paid reset gives you more usage on that one account. Your context - the task, your preferences, your files - is a separate problem, and a reset does not touch it.
Can multiple AI subscriptions share one context?
Yes. UseMyContext serves your profile, facts and files over MCP. Every client you connect - across services, and across accounts on the same service - reads the same context, which you own and edit in one place.