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Browser Operator [Chromium DevTools with Agentic Framework]

Chromium browser with an user interface to run multi-agent workflows directly on the browser using a stateful, orchestration framework.

Live Demo

Quick Start

Download the Agentic Browser for MacOS

Or

Set up the chromium dev tools with Agent framework on your system

Note: Read this document to know more about the build

Key Capabilities

  • Built in Agent Framework for running tasks / workflows.
  • Ability to perform actions such as: Navigate URLs, Perform Actions (Clicks, Fill Form, Scroll).
  • The agent can autonmously plan and execute tasks on behalf of user, such as
    • Summarize content
    • Deep research topics
    • Literature reviews
    • Product comparisons
    • Shopping assistance
    • Advanced search
    • And many more
  • Integrates with 100+ LLM Models
    • OpenAI GPT-4.1, O4-Mini
    • Claude 4, 3.7, 3.5
    • Google Gemeni
    • Llama
    • Deepseek
    • Qwen
    • And many more
  • Integrates with LiteLLM which supports ability to use multiple providers
    • Huggingface
    • Groq
    • Azure
    • AWS
    • OpenRouter
    • vLLM
    • Ollama
    • And many more
  • Customize workflows or agent behavior with config changes.

Architecture Flow

Demos

Watch Browser Operator in action with our demo videos:

Deep Research

Browser Operator seamlessly integrates public web data with your private documents and knowledge bases, creating comprehensive research without switching between tools.

Deep.Research.PSPs.mp4

Product Discovery & Comparison

Streamline your shopping research by automatically gathering specifications, user ratings, and availability across retailers, to help you make confident purchasing decisions.

Amazon.Product.Search.mp4

Professional Talent Search

Efficiently discover and evaluate potential candidates based on skills, experience, and portfolio quality, creating detailed profiles for recruitment decision-making.

Finding.a.consultant.in.Upwork.mp4

Quick Roadmap

Features Status
Multi-Agent Workflow Completed (Initial Release)
OpenAI LLM Completed (Initial Release)
Local LLM Completed (May 22)
MCP Planned
Customize System Prompts in UI Planned
Customize Agents in UI Planned
Customize Workflow Graphs in UI Planned
Eval Management Planned
Memory Planned
A2A Protocol Planned

DevTools Documentation

Agentic Framework Documentation

Setup LiteLLM Configuration

LiteLLM_Demo.mp4
  1. Click on the setting config inside the chat panel
  2. Select LiteLLM Provider
  3. Input the LiteLLM URL and API key
  4. Click on fetch models to test the configuration
  5. Click save to update the configuration

Contributing

Found a bug 🐛 or have a feature idea ✨? Please create issues here

Join Us

If you like this project, don't hesitate to ⭐ star this repository. For those who'd like to contribute code or just hang out with the community please join our Discord.

Discord X (Twitter)

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  • TypeScript 89.9%
  • JavaScript 4.2%
  • CSS 3.0%
  • HTML 1.3%
  • Python 0.7%
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