Kernel
kernel.sh- Category
- Developer Tools
- Rank
- No. 1086Tools index
- Listed in
- #14 Control a browser
- Type
- TOOL
- Use case
- Workflow Automation
- Interfaces
- API · Client SDK
- Date
About
Kernel provides managed browser infrastructure for AI agents and web automation. It offers reusable sessions, fast browser startup, anti-bot handling, and autoscaling browser fleets through a hosted SDK and API.
What it does
Its site describes Kernel as giving web agents isolated cloud browsers for tasks that need a real website rather than a purpose built API, supporting headless or headful Chromium sessions accessed through CDP, WebDriver BiDi, Playwright, or screenshot driven computer controls.
Stated on the product site
- Session access methods
- CDP, WebDriver BiDi, Playwright, or computer-use screenshot control
- SDK languages
- TypeScript, Python, and Go SDKs exposing a shared public API
- Integration entry points
- OpenAPI specification, a hosted MCP server, or an official CLI
- Managed authentication
- Keeps user-approved login state available to agents without exposing passwords or MFA codes
- Session profiles
- Preserve browser state between sessions
Not stated on the site
- The page doesn't show pricing or plan tiers for using Kernel's hosted browsers.
- The page doesn't show details on data retention or how long session recordings and logs are kept.
- The page doesn't show which regions or cloud providers host the browser infrastructure.
Written from the product site at kernel.sh.
What it can do
Bypass anti-bot detection systems
Web requests from AI agents or automation scripts → Successful web page access without bot blocking
Create reusable browser sessions
Web automation workflow requirements → Persistent browser session that can be reused across multiple requests
Spin up browser instances rapidly
Browser initialization request → Ready-to-use browser instance
Autoscale browser resources
Variable web automation workload demand → Dynamically adjusted browser capacity to match demand
Provide browser infrastructure for AI agents
AI agent web interaction requirements → Managed browser environment for AI agent operations
Enable web automation systems
Web scraping or automation tasks → Reliable web automation execution environment
Intel on Kernel
- SemiAnalysis: GPU kernel gains are worth hundreds of millions at OpenAI's scale
- CUDA-Harness: Harnessing Agentic CUDA Kernel Generation and Optimization from Natural Language
- KernelArc: A Multi-Agent Framework for GPU Kernel Optimization
- RealisticTritonBench: A Benchmark for Triton-Kernel Generation in Real-World AI Frameworks
- Kernel lessons transfer between different sparse attentions
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