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AgentKit Browser Automation

by tmahesh

A sophisticated browser automation framework built with AgentKit, featuring a multi-agent system for intelligent web navigation and task execution. It implements a multi-agent system where different agents work together to plan, navigate, execute, and validate web tasks.

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What is AgentKit Browser Automation?

This project is a multi-agent system for browser automation. It uses specialized agents to plan tasks, navigate web pages, execute browser actions, and validate results.

How to use AgentKit Browser Automation?

To use this project, clone the repository, install dependencies using npm, set up environment variables including your OpenAI API key, and then run the specified commands in separate terminals: npx @playwright/mcp@latest --port 8931, npx tsx index.ts, and npx inngest-cli@latest dev --no-discovery -u http://localhost:3000/api/inngest -v.

Key features of AgentKit Browser Automation

  • Intelligent Task Planning

  • State Management

  • Error Handling

  • Event System

  • Flexible Action System

  • Validation Framework

  • Memory Management

Use cases of AgentKit Browser Automation

  • Automated web testing

  • Data extraction from websites

  • Web scraping

  • Automated form filling

FAQ from AgentKit Browser Automation

What is the Planning Agent responsible for?

The Planning Agent breaks down tasks into actionable steps, creates execution plans, and determines task completion criteria.

What does the Navigator Agent do?

The Navigator Agent determines the next actions to take, manages state transitions, handles action execution, and provides detailed logging and feedback.

What is the role of the Browser Agent?

The Browser Agent executes browser automation actions, interacts with web elements, handles page navigation, and manages browser state.

What does the Validation Agent do?

The Validation Agent validates task completion, verifies results, handles error cases, and provides feedback on success/failure.

What are the prerequisites for using this project?

The prerequisites are Node.js (v14 or higher), npm or yarn, and an OpenAI API key.