Introducing idapt: Your AI Workspace

I built idapt because I wanted AI that works with my files, not a chatbot with an upload button.

Every AI app I used had the same shape: ask a question, get an answer, close the tab. The answer is gone. The files live somewhere else. The next conversation starts from zero. The models kept getting smarter and the workflow stayed a dead end.

A workspace, not a chat window

idapt is where your models, files, agents, and computers work as one system:

200+ AI models: GPT, Claude, Gemini, Grok, DeepSeek, and the rest of the catalog. Switch mid-conversation, run one prompt across several models and compare, or let the auto-router pick.
Drive: real files and folders that persist across every chat. The AI reads them, writes them, organizes them; nothing evaporates when the tab closes.
Agents: configure instructions, tools, and Knowledge once, then hand work over. An agent can search the web, edit files, and report back.
Cloud computers: full machines the AI can operate from chat. Install packages, run servers, deploy code.
Knowledge that persists: what you teach the workspace stays taught, across conversations and across models.

Each model has strengths: one for analysis, one for creative work, one for speed. In most apps, using more than one means paying twice and pasting context between tabs. Here they share one history, one Drive, one workspace.

AI that does things

If you have watched an AI agent read files, write code, and execute it, you know the difference between chatting and working. That power mostly lives in developer tools that assume a terminal and a dev setup.

idapt puts it in the browser. Web search with citations, image generation, file operations, code running on a real computer: no setup, one tab.

Get started

Start your free trial. Two things worth doing in your first five minutes:

Import your ChatGPT history: one ZIP upload brings every conversation, branches included.
Ask one question across three models and compare the answers on the models page.