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About
Agentic Browser
Table of Contents
Overview
Agentic Browser is an agent-based system designed to automate browser interactions using a natural language interface. Built upon the PydanticAI Python agent framework, Agentic Browser allows users to automate tasks such as form filling, product searches on e-commerce platforms, content retrieval, media interaction, and project management on various platforms.
Features
Browser Automation
- Web Research and Analysis: Intelligent web research across academic papers, travel sites & code repositories with natural language queries.
- Data Extraction: Extracts and compiles data of various types such as sports data, historical data, stock market and currencies.
- E-commerce Information: Scrapes information like price, specifications, availaibility of a product on various e-commerce websites.
- Web Traversal: Smart cross-domain navigation with context-aware website traversal & data correlation.
Architecture
Agentic Browser uses three specialized agents working in harmony:
- Planner Agent: The strategist that breaks down user requests into clear, executable steps. It creates and adapts plans based on feedback and progress.
- Browser Agent: The executor that directly interacts with web pages. It performs actions like clicking, typing, navigating, and extracting information using browser automation tools.
- Critique Agent: The quality controller that analyzes actions, verifies results, and guides the workflow. It determines if tasks are complete or need refinement.
The agents work in a feedback loop to ensure that actions are taken correctly and tasks are completed effectively.
Agents Workflow
Step 1: Planning Phase
- The Planner Agent receives a user request
- Analyzes the task requirements
- Creates a step-by-step execution plan
- Determines the first action to take
Step 2: Execution Phase
- The Browser Agent receives the current step
- Executes precise browser actions (navigation, clicks, text entry)
- Uses tools like DOM inspection and screenshot analysis
- Reports action results
Step 3: Evaluation Phase
- The Critique Agent reviews the execution
- Analyzes screenshots and DOM changes
- Verifies if the step was successful
- Decides whether to:
- Complete the task and return results to user
- Continue to next step in plan
- Request plan modification from Planner Agent
This cycle continues until the task is successfully completed or a terminal condition is reached.
Quick Start
Setup
To get started with Agentic Browser, follow the steps below to install dependencies and configure your environment.
#### 1. Install uv
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a-gnt's Take
Our honest review
Open-source AI agent for web automation and scraping. Best for anyone looking to make their AI assistant more capable in search & web. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
Heads up: this needs an API key to work. You'll get one from the service's website (usually free). The setup guide tells you exactly where.
What's New
Imported from GitHub
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