Find the signal.
Read sources, compare findings, and turn an open question into a useful brief.
Give AI a computer with your context, an independent workspace, and room to finish the job.
For Claude, ChatGPT, Codex, and the agents you build.
{
"source": "main_snapshot",
"include": [
"work.example.com",
"docs.example.com"
],
"sync_back": false,
"computer": "independent"
}Conceptual configuration, not an API schema. No browser data is read or uploaded.
Read sources, compare findings, and turn an open question into a useful brief.
Write code, run tools, and iterate in a workspace dedicated to the task.
Same authorized starting context. Separate workspaces. No automatic write-back.
The product vision, illustrated. Try the domain controls to shape the example context.
Your agents should spend their time on the work, with the context and tools they need already in place.
Connect your browser and choose what comes along. Keep an up-to-date starting snapshot of the context you authorize, with visibility into what’s included.
Start each computer from that snapshot or a clean base. Let agents browse, use files, and run tools in workspaces that evolve independently.
Let longer tasks run, pause when idle, and return to the same computer. Bring back files and results when the work is ready.
Each new computer begins with its own copy. Changes stay with that computer, without syncing back to your device or across your other computers.
You choose the context, grant access, and decide when a computer’s work is done.
Connected websites are still real accounts. Actions taken there affect those accounts.
No sync between computers. No automatic merge.
Stay with the AI you already use. Give it a computer to carry out browser and file tasks, then pick up the results in your conversation.
One computer service, connected through MCP. Your assistant supplies the reasoning.
Computer infrastructure for the applications you’re building. Bring your own model and agent loop; give every user a workspace with the context they authorize.
A computer as a building block.
Provision and control computers from your application. Keep your own reasoning layer and let the service handle the computer lifecycle.
Let users connect supported browser sessions through a hosted flow, with recovery when a site needs them to sign in again.
Scope access to projects and users. Manage retention, quotas, and costs alongside the artifacts your agents produce.
From the assistant you use to the agent you build.