Our Cloud Browser: The Hosted Runtime for AI Web Agents

# Our Cloud Browser: The Hosted Runtime for AI Web Agents

When your AI agent needs to browse the web, a local Chrome instance is rarely the right answer. Our cloud browser — the Remote Browser runtime — provides hosted Chromium sessions designed specifically for AI agents and browser-use workflows. Instead of managing browser binaries, fighting with sandbox permissions, or scaling headless instances yourself, you get a production-grade browser runtime accessible via API.

This post explains what our cloud browser actually does, how it fits into your agent stack, and why hosted Chromium beats local setup for anything beyond a quick prototype.

What Is Our Cloud Browser?

Remote Browser is a browser API and runtime. It gives you a real Chromium browser running in the cloud, accessible over the network. You control it through standard protocols: Chrome DevTools Protocol (CDP), Playwright, Puppeteer, or Selenium.

The core idea is simple: treat the browser as infrastructure. You don't install Chrome, you don't manage Xvfb, you don't worry about zombie processes. You request a session, run your automation, and tear it down when done.

For AI agents, this matters because the browser is not the product — it's the tool your agent uses to interact with the web. Our cloud browser removes the operational overhead so you can focus on agent logic.

Why AI Agents Need a Hosted Browser Runtime

Local browser setups fail for AI agents in predictable ways. Here's what you run into:

• Resource contention: A single Chromium instance can consume 500MB+ RAM. Running multiple agents locally means running multiple browsers, which quickly exhausts memory.
• Sandbox issues: Running Chrome as root in a container requires --no-sandbox, which is a security risk. Proper sandboxing is complex.
• Session persistence: When your agent needs to log in, maintain cookies, or keep state across runs, local ephemeral browsers lose everything on exit.
• Network constraints: Local browsers use your IP address. For tasks that require different IPs or specific geographic locations, you need proxy support built into the browser layer.
• Scaling: Spinning up 50 browser instances locally is impractical. In the cloud, it's an API call.

Our cloud browser addresses all of these. Each session runs in an isolated Chromium instance with configurable browser settings, persistent profiles, and network controls.

Core Features of the Remote Browser Runtime

Hosted Chromium Sessions

Every session is a full Chromium browser running in our infrastructure. You get a real browser engine — not a simulation, not a DOM emulator. This matters for compatibility. Sites that detect headless browsers or use complex JavaScript will behave the same way they do for a regular user.

CDP Access

The Chrome DevTools Protocol is the native way to control Chromium. Our cloud browser exposes CDP endpoints directly, so you can use any tool that speaks CDP. This includes Playwright and Puppeteer, which wrap CDP with higher-level APIs.

import { chromium } from 'playwright';

// Connect to a Remote Browser session via CDP
const browser = await chromium.connectOverCDP('wss://remote-browser.dev/cdp/session/your-session-id');

const page = await browser.newPage();
await page.goto('https://example.com');

// Run your agent logic here
const title = await page.title();
console.log(`Page title: ${title}`);

await browser.close();

This code connects Playwright to a hosted Chromium session. No local browser installation required.

Live Viewer

Debugging an AI agent that browses the web is painful when you can't see what's happening. The live viewer gives you a real-time view of the browser session. You can watch your agent navigate, fill forms, and handle popups. This is invaluable for development and troubleshooting.

Persistent Profiles

Many web automation tasks require authentication. Our cloud browser supports persistent profiles, so your agent can log in once and reuse that session across multiple runs. Cookies, localStorage, and other browser state are preserved.

Configurable Browser Settings

Different tasks require different browser configurations. Our cloud browser lets you set:

• Viewport size: Match desktop or mobile layouts.
• User agent: Override the default Chromium user agent.
• Proxy settings: Route traffic through specific proxies for IP diversity.
• Timezone and locale: Simulate users in different regions.

These settings are configurable per session, giving you fine-grained control without spinning up custom infrastructure.

Session Isolation

Each session is isolated from others. A crash in one browser doesn't affect another. This is critical for production workloads where a single failing agent shouldn't take down the whole fleet.

Usage Controls

For teams running agents at scale, usage controls prevent runaway costs. You can set limits on session duration, concurrent sessions, and total browser hours. This keeps spending predictable.

Our Cloud Browser vs. Local Setup

The table above shows the practical differences. For development, local browsers are fine. For production AI agents, the hosted runtime wins on every operational dimension.

Browser-Use Workflows on Our Cloud Browser

The browser-use library is a popular open-source tool for AI web agents. It provides a high-level API for tasks like "search for X and extract Y." Our cloud browser integrates with browser-use workflows by providing the underlying browser runtime.

Here's how a typical browser-use workflow runs on our cloud browser:

1. Agent receives a task — e.g., "Log into the dashboard and download the monthly report."
2. Agent requests a browser session — via our API, with the appropriate profile and proxy settings.
3. Agent executes browser-use actions — navigating, clicking, typing, extracting data.
4. Agent completes the task — and either keeps the session for future use or tears it down.

The key advantage is that the agent doesn't care about browser infrastructure. It just needs a reliable browser to drive.

Open-Source Web Agent Compatibility

Our cloud browser is protocol-compatible with the tools you already use. If your agent stack uses Playwright, Puppeteer, or Selenium, it can connect to our hosted Chromium without code changes beyond the connection string.

This compatibility extends to open-source web agent frameworks. Many of these frameworks assume a local browser. With our cloud browser, you can point them at a hosted session instead. The result is the same agent logic, but with the reliability and scalability of cloud infrastructure.

When to Use Our Cloud Browser

Production AI Agents

If your agent runs in production, handling real user requests, you need reliability. Local browsers crash, leak memory, and require constant babysitting. Our cloud browser provides the stability you need for 24/7 operation.

Multi-Agent Systems

When you have multiple agents running concurrently, each needing its own browser session, the cloud runtime is the only practical option. You can spin up and tear down sessions on demand, matching your workload.

Tasks Requiring Persistent State

Agents that need to stay logged in, maintain shopping carts, or preserve session state across runs benefit from persistent profiles. Our cloud browser makes this trivial.

Geographic Distribution

If your agents need to appear from different locations, our proxy support lets you route traffic through different IPs. This is essential for tasks like price comparison, content verification, or regional testing.

Security and Compliance Considerations

Running browsers in the cloud raises legitimate security questions. Here's how our cloud browser addresses them:

• Isolation: Each session runs in its own isolated environment. No data leakage between sessions.
• Network controls: You control proxy settings and can restrict outbound traffic.
• Session lifecycle: Sessions can be configured to auto-terminate after a set duration.
• No persistent storage by default: Unless you enable persistent profiles, session data is ephemeral.

For compliance-sensitive workloads, you can configure sessions to meet your specific requirements. The documentation covers these options in detail.

Pricing Model

Our cloud browser uses a browser-hour pricing model. You pay for the time your browser sessions are active, not for idle infrastructure. This aligns cost with actual usage.

For current pricing details, including any free tier or volume discounts, check the pricing page. We don't require long-term commitments, so you can scale up or down based on demand.

Getting Started with Our Cloud Browser

The fastest way to understand our cloud browser is to try it. Here's a minimal workflow:

1. Create an account on remote-browser.dev.
2. Get your API key from the dashboard.
3. Create a session via the API or SDK.
4. Connect your agent using Playwright, Puppeteer, or raw CDP.
5. Run your automation and monitor it via the live viewer.

The developer guide walks through this process in detail, including code examples and best practices.

Real-World Use Cases

E-commerce Monitoring

An agent that checks competitor prices daily needs a reliable browser. Our cloud browser provides persistent profiles for login state and proxy support for geographic diversity. The agent runs on a schedule, collects data, and reports back — no local infrastructure required.

Form Automation

Agents that fill out forms, submit applications, or manage accounts benefit from persistent sessions. Once logged in, the session can be reused across multiple tasks, reducing friction and improving success rates.

Content Verification

For agents that verify content across different regions, our proxy support is essential. Each session can use a different IP, giving you accurate regional views without managing a proxy fleet.

Data Extraction

Web scraping at scale requires many concurrent browser sessions. Our cloud browser handles this gracefully, with session isolation ensuring that one failed extraction doesn't affect others.

Limitations and Honest Assessment

No tool is perfect for every use case. Here's an honest look at where our cloud browser might not be the best fit:

• Ultra-low latency requirements: If your agent needs sub-millisecond browser responses, a local browser might be faster. Network round-trips add latency.
• Very high bandwidth tasks: Downloading large files through a cloud browser uses network bandwidth. For massive downloads, local infrastructure might be more efficient.
• Offline environments: If your agents run in air-gapped environments, a cloud browser won't work. You'd need an on-premises solution.

For most AI agent workloads, these limitations are minor. The benefits of managed infrastructure outweigh the latency costs.

The Future of Cloud Browsers for AI

The trend is clear: AI agents are becoming more capable, and their browser needs are growing. Local browsers can't keep up with the scale, reliability, and diversity requirements of production agents.

Our cloud browser is designed for this future. It provides the runtime layer that agents need to interact with the web reliably. As agent frameworks evolve, the browser runtime becomes more critical, not less.

We're committed to keeping our cloud browser compatible with the latest tools and protocols. If you're building with Playwright, check the Playwright CDP documentation to understand how connection works. For deeper CDP knowledge, the Chrome DevTools Protocol documentation is the authoritative source.

Conclusion

Our cloud browser solves the operational problems that plague AI web agents. It provides hosted Chromium sessions with CDP access, persistent profiles, proxy support, and session isolation — all accessible via standard protocols.

For production workloads, the hosted runtime is not a luxury; it's a necessity. Local browsers are fine for development, but they fail at scale. Our cloud browser gives you the reliability, scalability, and control you need.

Ready to move your agents to a hosted runtime? Start with the cloud browser overview or dive into the technical documentation. If you're evaluating alternatives, our comparison guide covers what to look for. And for a practical look at driving browsers remotely, see the remote control browser guide.

The browser is the interface between your agent and the web. Make sure it's running on infrastructure you can trust.