Drawer is being designed around readable, user-controlled context so people can inspect what is retained and move approved information between supported environments.
- Readable context
- User control
- Portability
AI keeps getting smarter, yet it still doesn't know you. Every new session, every new tool — you introduce yourself all over again, while your preferences, projects and hard-won lessons scatter across a thousand chats.
You've said "save it to Desktop, date goes first" a hundred times. You'll say it again tomorrow.
Last month's lesson gets relearned in next month's tool. Experience stays anecdote — it never becomes an asset.
When an app does remember you, the memory lives in their cloud — unreadable, unportable, revocable.
Drawer keeps durable facts and repeatable actions together. Watch one project become more useful without losing where each change came from.
01 / 03
Files, notes and preferences arrive from different places. Drawer links them to one object without flattening their sources.
Project object · owned by you
Give Drawer ordinary language. It proposes structure, separates lasting facts from repeatable work, and waits for your approval before anything is saved.
Edit the text or choose an example, then generate a reviewable object. You can approve it or change the note and try again.
Interactive local preview · edit the note, generate a proposal, then approve it to see the saved state.
Drawer appears over the tool already in front of you. Find a behavior, press Enter, and control passes straight back to your agent.
Drawer isn't another filing chore. Your drawers grow out of the work you already do with AI.
One identity through every revision
A reviewed project brief becomes one portable object with a clear owner and scope.
Drawer is being designed around readable, user-controlled context so people can inspect what is retained and move approved information between supported environments.
Drawer is designed to keep proposed attributes and behaviors as drafts until the user approves them, making lasting changes explicit instead of silent.
The intended interface appears when called, passes a selected behavior to a compatible agent, then returns control to the tool already in use.
Drawer is being designed so reviewed objects are not tied to one model. Supported formats and integrations will be published as early-access development progresses.
Bymii AI Global Limited is developing Drawer, a user-controlled memory and workflow layer for AI tools. It helps people organize projects, preferences and recurring work into portable objects they can review, retain and use across compatible AI environments.
How AI is intended to assist: Drawer is designed to extract structure from user-provided information, draft attributes and suggest reusable behaviors. Suggestions remain subject to user review and approval.
Our company, our projects, our lives — organized as objects, run with AI. Early-access development is underway. Request updates as the product progresses.
Get early access