Configure, deploy, and monitor agents that run at production scale in the browser and on the desktop, with human-level accuracy.
See the screen, locate UI elements, and move through interfaces the way a person would.
Open pages, follow flows, and extract what you need from live web apps.
Control desktop environments with clicks, typing, and full session replay.
replay
We handle agent orchestration and computer-use capabilities, so you can focus on your product.
Plug into your existing infrastructure through one API surface instead of stitching together fragile point solutions as you grow.
Build agents that adapt when a real interface changes, so runs stay reliable after UI updates.
Test the same agent across browser and desktop without standing up separate infrastructure for each. One harness handles the visual actions on every one.
$ h env connect --all ✓ browser ready viewport=1440x900 ✓ desktop ready display=:1 agent bind --env browser,desktop one harness · two surfaces session sync · shared context
Build, run, and evaluate agents from a single platform instead of stitching together separate tools for each stage.
Full logs and session replays for every agent action. See exactly where and why a run failed, and keep control over sensitive tasks instead of running on trust.
14:02:11 click #submit 14:02:12 type invoice_id="48291" 14:02:14 wait network.idle 14:02:16 assert toast.contains ● Failed step 4 · selector missing replay → open frame 00:14 frame 00:15 · 00:16 · 00:17
Every agent runs on the model, inference, harness, and RL stack we own end to end. It is not a prompt wrapped around a generalist model.
AGENT · REASONING 1. locate vendor form fields 2. map values from context 3. validate required inputs 4. submit and confirm toast 5. check downstream state action click(name="Continue") confidence 0.94
MCP server, REST API, CLI, and an n8n node. It connects to Claude, Hermes, Cursor, or your own stack with one API key.
$ h auth login ✓ authenticated MCP SERVER CONNECTED n8n · CLAUDE · HERMES · CURSOR api_key sk-···8f2a
Purpose-built models cost 40% less per run than a general-purpose LLM that does the same GUI task.
Cost per GUI run
−40%
vs general LLM
SOC 2 Type II
ISO 27001
Regional data residency
Zero retention mode
Start freeRun your first agent in minutes. Free credits included every month. | Scale as you growMove to production with higher concurrency and priority infrastructure. | EnterpriseDeploy at scale with dedicated support and the highest limits available. |
|---|---|---|
Full feature access | Token-based pricing, pay for what you use | Best available rate limits |
No credit card required | Residential-grade proxy | Workflow orchestration |
Upgrade only when you need more concurrency | Top-up available anytime | Dedicated onboarding |
Configure, deploy, and monitor agents that run at production scale in the browser and on the desktop, with human-level accuracy.
Questions, bugs, feature requests: talk to the team and other builders.