Key Takeaways
- Anchor Browser combines managed browser fleets, enterprise authentication, persistent identities, and repeatable browser workflows for production AI agents.
- A cloud browser is not necessarily an autonomous agent. Some providers supply execution infrastructure, while others add reasoning, extraction, or workflow orchestration.
- Teams should evaluate successful task completion, session reliability, security requirements, and recovery behavior rather than browser capacity alone.
AI agents are moving beyond retrieving information from websites. They increasingly perform multi‑step tasks inside customer portals, administrative dashboards, financial applications, and other systems where browser interaction remains essential. These workflows require a browser environment that can preserve authentication, maintain state, and support reliable execution across changing interfaces.
10 Best Cloud Browser Providers for AI Agents in 2027
1. Anchor Browser: Best Cloud Browser Provider
Anchor Browser is a managed cloud browser platform built for AI agents that need to interact with websites and business applications at production scale. It provides isolated Chromium environments alongside authentication management, network controls, browser automation interfaces, and fleet orchestration.
The platform supports developers building agents that must navigate dynamic websites, complete forms, retrieve documents, and operate applications without suitable APIs. Its browser environments can be controlled through REST APIs, the Chrome DevTools Protocol (CDP), Playwright, Puppeteer, and MCP integrations.
A central capability is OmniConnect, Anchor Browser's authentication infrastructure. Rather than requiring agents to repeatedly navigate login screens, it allows organizations to manage application identities and reuse authenticated browser state. Its supported authentication workflows include common verification methods such as one‑time codes and TOTP, helping agents interact with applications that require more than a password.
This becomes particularly important when agents perform tasks across multiple sessions. An agent retrieving records from an authenticated portal may need to continue after an interruption or return to the same account later. Managing the account identity separately from the individual browser session makes those workflows easier to coordinate.
Anchor Browser also addresses the execution overhead associated with repeated AI reasoning. Its Web Action Cache can turn successful interactions into reusable deterministic actions. Agents can follow established steps for familiar workflows while reserving model reasoning for situations that require additional interpretation.
Key Features:
- Managed Chromium environments: Provides isolated cloud browsers controlled through APIs, CDP, Playwright, Puppeteer, and MCP.
- OmniConnect authentication: Manages application identities, authenticated profiles, and supported login and verification workflows.
- Web Action Cache: Converts successful browser interactions into repeatable actions to reduce unnecessary agent reasoning.
- Scalable browser fleets: Supports batch session provisioning and coordinated execution across large automation workloads.
2. Browserbase
Browserbase provides cloud browser infrastructure for developers building AI agents, automated workflows, and browser‑based applications. Its managed sessions can be controlled through Playwright, Puppeteer, Selenium, and CDP, allowing existing automation code to operate remotely.
The company also develops Stagehand, an AI browser automation SDK that supports natural‑language actions, page observation, and structured extraction. Browserbase provides persistent contexts, session recordings, live debugging, and tools for managing agent execution. Its broader platform includes services for search, content retrieval, and agent infrastructure, making it relevant to teams building applications that combine browser automation with AI‑driven web interactions.
Key Features:
- Persistent contexts: Supports reuse of browser state across compatible sessions.
- Execution observability: Provides recordings, live inspection, logs, and debugging information.
- Developer integrations: Supports established automation frameworks and agent development tools.
3. Kernel
Kernel provides managed browser environments for AI agents, emphasizing fast session provisioning, isolated execution, and developer‑oriented browser APIs. Its infrastructure is designed for applications that create browser sessions on demand and connect them to automated tasks.
Kernel supports persistent profiles, managed authentication, proxy configuration, session replay, and live browser access. Developers can connect through CDP and supported automation frameworks while using Kernel's APIs to manage session lifecycles. The platform also supports environments where agents need to execute code alongside browser interactions, making it relevant to workflows combining web navigation with local processing and application logic.
Key Features:
- Managed authentication: Provides tools for connecting accounts and maintaining browser identities.
- Live inspection and replay: Helps developers investigate browser execution and failures.
- Agent integrations: Supports CDP‑based automation, computer‑use systems, and developer frameworks.
4. Browserless
Browserless provides hosted and self‑deployable browser automation infrastructure for applications using Playwright, Puppeteer, Selenium, and browser APIs. Its services handle browser provisioning and execution while exposing interfaces for common automation tasks.
The platform includes BrowserQL, a browser automation query interface, alongside APIs for screenshots, PDF generation, content extraction, and scripted browser operations. Browserless also provides MCP integrations for AI agents and supports debugging, session management, and human‑assisted workflows. Its deployment flexibility is relevant to organizations that want managed browsers but may also require dedicated or self‑hosted environments.
Key Features:
- BrowserQL: Provides a structured interface for browser interaction and extraction.
- Automation APIs: Supports screenshots, PDFs, scraping, and programmatic browser tasks.
- Deployment flexibility: Offers cloud, dedicated, and self‑hosted options.
5. Steel
Steel is an open‑source browser infrastructure platform that provides hosted and self‑managed browser environments for AI agents. Its architecture allows developers to use managed cloud browsers or deploy the underlying browser infrastructure within their own systems.
The platform supports persistent profiles, browser session APIs, credential management, CAPTCHA handling, and execution observability. It also integrates with AI computer‑use systems and agent frameworks, making it suitable for applications that combine model reasoning with browser control. Steel's open‑source foundation gives engineering teams additional flexibility over deployment and customization, although self‑hosting introduces responsibility for infrastructure maintenance.
Key Features:
- Persistent profiles: Maintains supported browser state across workflows.
- Agent observability: Includes live viewing, replay, and debugging capabilities.
- Computer‑use integrations: Connects browser infrastructure with compatible AI agent systems.
6. Browser Use
Browser Use combines an open‑source AI browser agent framework with managed cloud browser infrastructure. Its Python framework allows developers to build agents that interpret websites and execute tasks using language models and browser controls.
Browser Use Cloud adds hosted browser sessions, persistent profiles, proxy support, and managed execution. Developers can use its cloud browsers with the Browser Use agent framework or connect compatible automation tools directly. This separation between browser hosting and agent execution gives teams flexibility when deciding how much reasoning and task orchestration they want the platform to handle.
Key Features:
- Persistent browser profiles: Maintains authentication and session information for recurring workflows.
- Managed agent execution: Supports autonomous browser tasks using hosted agent capabilities.
- Browser access features: Includes proxy options and automated handling of supported website challenges.
7. Cloudflare Browser Run
Cloudflare Browser Run provides headless browser execution on Cloudflare's global infrastructure. It allows developers to control Chromium through Playwright, Puppeteer, CDP, and browser APIs without maintaining browser servers.
The platform supports both direct browser sessions and predefined operations, including screenshots, PDFs, web scraping, and structured data extraction. Developers can integrate Browser Run with Cloudflare Workers, Durable Objects, and the Agents SDK to build stateful applications. Its session reuse and live‑view capabilities support automated workflows that need to preserve browser state or allow human intervention during execution.
Key Features:
- Browser session reuse: Allows compatible sessions to remain available across requests.
- Agent integrations: Connects with Cloudflare Workers, Durable Objects, and agent tools.
- Content processing APIs: Provides screenshots, PDF generation, extraction, and crawling capabilities.
8. Bright Data
Bright Data offers browser automation infrastructure through its Scraping Browser product. The service provides hosted browsers that developers can control using established automation frameworks while accessing Bright Data's proxy and web data infrastructure.
Its primary focus is collecting information from dynamic websites, including pages requiring JavaScript rendering and interactive navigation. The service supports browser‑based extraction and network configuration for workloads involving many external websites. Bright Data also offers additional web data APIs, making it relevant to AI systems that require frequent retrieval of information from public web sources rather than long‑running authenticated business workflows.
Key Features:
- JavaScript rendering: Processes websites that require browser execution to display content.
- Proxy infrastructure: Provides network routing and location‑related access options.
- Web data services: Connects browser automation with broader extraction and collection tools.
9. Apify
Apify provides a cloud platform for executing automated web tasks through serverless programs called Actors. These programs can run browser automation, scraping, data extraction, and other workflows using Playwright, Puppeteer, and related technologies.
Unlike providers focused primarily on renting individual browser sessions, Apify emphasizes packaged and repeatable automation workloads. Developers can build Actors, configure their inputs, run them through APIs or schedules, and store results in managed datasets. Apify Store also provides reusable automation programs. For AI agents, the platform offers a way to invoke established browser workflows as tools rather than controlling every browser interaction directly.
Key Features:
- Cloud automation Actors: Executes packaged browser and data‑processing programs.
- Browser framework support: Enables browser automation using Playwright and related tools.
- Scheduled execution: Runs recurring automation tasks through the platform.
10. ZenRows
ZenRows provides a managed browser service for automating and extracting information from dynamic websites. Its ZenRows Browser allows developers to connect existing Playwright or Puppeteer scripts to remote browser environments through a WebSocket endpoint.
The service combines browser execution with residential proxy infrastructure, geographic targeting, and tools for interacting with JavaScript‑heavy pages. It is primarily oriented toward web data collection rather than persistent enterprise application sessions. Teams can use it to automate page navigation, retrieve dynamically rendered information, and feed extracted data into AI applications or downstream processing systems.
Key Features:
- Dynamic content extraction: Handles JavaScript‑rendered websites and interactive pages.
- Geographic targeting: Provides configurable network locations for supported workflows.
- Residential proxy integration: Includes proxy rotation and network access infrastructure.
What Does a Cloud Browser Really Cost per Completed Task?
Browser infrastructure expenses are often compared using browser‑hour rates. That measurement is useful, but it does not capture the full cost of an AI agent workflow.
A completed task can consume resources across several categories:
- Browser execution: The duration and number of active sessions.
- Network traffic: Proxy bandwidth and related network services.
- AI reasoning: Model tokens used to interpret pages and determine actions.
- Recovery attempts: Additional execution required after failures.
- Operational support: Engineering effort spent investigating failed or inconsistent workflows.
A more useful measure is cost per successfully completed task.
For example, consider two hypothetical browser configurations. One costs $0.04 in direct execution resources per attempt but successfully completes only 70% of tasks. Another costs $0.06 per attempt and completes 95%.
Assuming independent attempts, the expected direct execution cost per successful completion is approximately $0.057 for the first configuration and $0.063 for the second.
The lower‑priced configuration remains slightly cheaper in this simplified example, but it requires more retries and may create additional delays or support work.
For workflows involving sensitive records, irreversible submissions, or customer‑facing operations, reliability and recovery costs may outweigh small differences in browser pricing.
The appropriate measurement depends on the business outcome, not simply how cheaply an individual browser launches.
Frequently Asked Questions
What is a cloud browser for AI agents?
A cloud browser is a remotely hosted browser environment that AI agents or automation programs can control through APIs, browser protocols, or agent frameworks. It allows applications to navigate websites, interact with forms, retrieve information, and perform authorized tasks without running browsers locally. Managed providers may also supply session persistence, authentication tools, monitoring, networking, and execution infrastructure.
Which cloud browser provider is best for enterprise AI agents?
Anchor Browser is a strong option for enterprises operating agents across authenticated web applications. It combines managed browser infrastructure, identity management, reusable browser workflows, fleet orchestration, and enterprise deployment options. Browserbase offers a developer‑oriented platform with Stagehand, while Kernel emphasizes managed browser execution and persistent profiles. The appropriate choice depends on authentication requirements, workload characteristics, and operational controls.
What is the difference between a cloud browser and a browser agent?
A cloud browser supplies the environment used to open and interact with websites. A browser agent provides the reasoning and decision‑making needed to accomplish tasks through that environment. Some providers offer both components, while others focus on infrastructure alone. Developers can combine a cloud browser with an independent AI model, agent framework, or deterministic automation script.
Can cloud browsers maintain login sessions between agent tasks?
Many cloud browser providers support persistent profiles or session reuse, allowing authentication information to remain available across compatible tasks. However, persistence does not guarantee that every login will remain valid indefinitely. Websites can expire sessions, require additional verification, or revoke access. Teams should examine how each provider handles authentication recovery, credential protection, and session expiration before deployment.