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The Claude Agent SDK provides a powerful way to build AI agents that can autonomously perform tasks. By integrating the Claude Agent SDK with Kernel, you can create agents that browse the web and interact with websites using cloud-hosted browser infrastructure. This integration combines Claude’s agent capabilities with Kernel’s Playwright Execution API to enable browser automation without managing local browser infrastructure.

Quick setup with Claude Agent SDK

Get started with Claude Agent SDK and Kernel using our pre-configured app template:
Choose TypeScript or Python as the programming language. Then follow the deploy and invoke guides to deploy and run your Claude Agent SDK automation on Kernel’s infrastructure.

Prerequisites

Claude Code Installation

The Claude Agent SDK requires Claude Code to be installed. Choose one of the following methods:
See the official installation guide for Windows and other options.
When deploying to Kernel, the app automatically installs Claude Code on the remote infrastructure.

API Keys

You’ll need:

Running locally

Deploying to Kernel

Deploy and invoke the app on Kernel’s infrastructure:

How it works

  1. Browser Creation: A Kernel browser session is created with stealth mode enabled
  2. MCP Server: An in-process MCP server is created with an execute_playwright tool
  3. Agent Execution: The Claude Agent SDK runs with access to the Playwright tool
  4. Task Completion: Claude autonomously uses the tool to complete the given task
  5. Cleanup: The browser session is deleted when done

Example tasks

Benefits of using Kernel with Claude Agent SDK

  • No local browser management: Run Claude Agent SDK automations without installing or maintaining browsers locally
  • Scalability: Launch multiple browser sessions in parallel for concurrent AI agents
  • Stealth mode: Built-in anti-detection features for reliable web interactions
  • Session state: Maintain browser state across runs via Profiles
  • Live view: Debug your Claude agents with real-time browser viewing
  • Cloud infrastructure: Run computationally intensive AI agents without local resource constraints

Next steps