The agent loop
A single server-side reasoning loop drives every task — choosing tools, reading observations, and streaming results — with step and cost ceilings as circuit breakers.
One side of the OS: an agent that works on the pages you're already on — inside your own logged-in browser. It reads, acts, researches and remembers, all approval-gated and cited.
A model answers questions. An agentic OS gets work done: it understands what you are looking at, decides which tools to use, takes action with your approval, and carries context across the apps and devices you work in.
A single server-side reasoning loop drives every task — choosing tools, reading observations, and streaming results — with step and cost ceilings as circuit breakers.
Page understanding, browser actions, research, memory, workflows, and files are tools the one agent composes — each permission-checked and classified by risk.
Hands and eyes live in the client you use — the browser extension and web app today; desktop and mobile next — while the agent and your data stay consistent across all of them.
Do a task once with the agent watching, save it as a routine, and it becomes a reusable, fill-in-the-blank recipe you can replay — one run, hundreds of rows, or on a schedule.
Each capability is a first-class tool — built to be reliable on its own and powerful in combination.
The agent reads an accessibility-first, distilled view of whatever you are looking at — web pages and PDFs alike — and answers questions grounded in the actual content, citing the exact source lines. It never dumps raw HTML and never guesses.
Point the agent at a form and it fills fields precisely using stable element references. Anything consequential — submitting, sending, paying — pauses for your explicit approval first. Sensitive fields like passwords are never read or filled silently.
The agent acts on your behalf — navigate, click, type, select, scroll — taking a fresh look at the page after every step so it stays grounded. You stay in control with a live action log and approval gates on anything irreversible.
Ask a question that spans the web and the agent opens, reads, and synthesises multiple sources into a numbered, cited report — within a per-task source budget you can extend whenever you want to go deeper.
The agent can read the tabs you already have open and open new background research tabs, then bring everything together — useful for comparing options, reconciling data, or summarising a session of reading.
Tell the agent something once and it remembers — your preferences, the people and projects you work with — recalled automatically when relevant. Memory is strictly scoped to you, refuses secrets, and is yours to search or forget at any time.
Do a task once with the agent watching, then save it as a routine. It captures the steps, auto-names them, and turns the values you typed into fill-in-the-blank inputs. Replay it later with new inputs — across hundreds of rows or on a schedule. When the site changes, it self-heals, re-finding the right element on its own, and pauses for you when it genuinely can’t — never silently skipping ahead.
Attach a document and the agent reads it, pulls out what you need, and can edit text and Word files — the edited version downloads as a new file. Your original is never overwritten.
Proofread any block of text and get a corrected version with the edits highlighted in place — spelling, grammar, and punctuation fixed, one click to copy. Re-run to refine.
The things that make an agent safe to hand real work are designed into the core.
Install the extension and run your first task in under a minute. Free to start — no card required.