Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Open-source AI agent for web automation and scraping.
| Date | Stars |
|---|---|
| 2026-07-31 | 422 |
| 2026-08-05 | 421 |
| 2026-08-06 | 421 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
# Agentic Browser
## Table of Contents
- [Overview](#overview)
- [Features](#features)
- [Architecture](#architecture)
- [Agents Workflow](#agents-workflow)
- [Quick Start](#quick-start)
- [License](#license)
- [Acknowledgements](#acknowledgements)
## 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](https://github.com/pydantic/pydantic-ai), 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`
Agentic Browser uses `uv` to manage the Python virtual environment and package dependencies.
- macOS/Linux:
```bash
curl -LsSf https://astral.sh/uv/install.sh | sh
```
- Windows:
```bash
powershell -c "irm https://astral.sh/uv/install.ps1 | iex"
```
You can install uv using pip
#### 2. Clone the repository:
git clone https://github.com/TheAgenticAI/TheAgenticBrowser
#### 3. Set up the virtual environment
Use uv to create and activate a virtual environment for the project.
uv venv --python=3.11
source .venv/bin/activate
# On Windows: .venv\Scripts\activate
#### 4. Install dependencies
uv pip install -r requirements.txt
#### 5. Install Playwright Drivers
playwright install
If you want to use your local Chrome browser over Playwright, go to chrome://version/ in Chrome, find the path to your profile, and set BROWSER_STORAGE_DIR to that path in .env
#### 6. Configure the environment
Create a .env file by copying the providedExcerpt of 6,012 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:54a8c4acaa710006, llm:description: 'Open-source AI agent for web automation and scraping.' (repository description)
matched fp:54a8c4acaa710006, llm:description: 'Open-source AI agent for web automation and scraping.' (repository description)
matched fp:54a8c4acaa710006, llm:description: 'Open-source AI agent for web automation and scraping.' (repository description)