AgentKit
Using AgentKit with Browserbase
Develop AI Agents that can browse the web autonomously using Browserbase and AgentKit (by inngest).
Overview
By the end of this guide, you’ll have an AI agent built with AgentKit that can browse the web using Browserbase.
You’ll learn how to:
- Create AgentKit tools that leverage Browserbase’s managed headless browsers
- Build autonomous web browsing agents that can search, extract data, and interact with websites
- Use Stagehand, Browserbase’s AI-powered browser automation library, to create resilient web agents
This integration is useful for:
- Building AI agents that can fetch real-time information from the web
- Creating autonomous browsing capabilities within your agents
- Developing resilient web scraping and interaction systems
- Enabling your agents to perform complex web-based tasks
There are two approaches to using Browserbase with AgentKit:
- Create custom Browserbase tools: Ideal for simple actions on webpages with manual browser control.
- Use Stagehand library as tools: Better for autonomous browsing and resilient web scraping.
Prerequisites
Before you start, make sure you have:
- AgentKit installed
- Browserbase Project ID & API key
- (Optional) LLM API key of your choice to use with Stagehand
Next, let’s dive into building web browsing agents with AgentKit and Browserbase.
Quickstart Guides
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