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Nanobrowser - AI Agent Applications Tool

Overview

Nanobrowser is an open-source browser extension that provides multi-agent, on-device web automation and navigation. According to the project's GitHub repository (https://github.com/nanobrowser/nanobrowser), Nanobrowser runs agents inside the browser extension environment so automation and browsing decisions can be performed locally, with each agent able to be configured to use a specific LLM. The project is oriented toward coordinated agent workflows for tasks such as automated form filling, multi-step web navigation, data extraction, and scripted interactions with web pages. Nanobrowser emphasizes privacy and extensibility: because agents run on-device (within the browser extension context) it reduces the amount of browsing data that must be sent to external services. The design described in the repository focuses on multiple cooperating agents, configurable LLM backends per agent, and integration hooks that let developers tailor agents to particular web tasks. The README and examples show typical use cases (task automation, multi-agent collaboration, and prototyping agent-driven workflows) and outline developer-facing configuration and extension points.

Installation

Install via npm:

git clone https://github.com/nanobrowser/nanobrowser.git
cd nanobrowser
npm install
npm run build
Load the built extension into your browser as an unpacked extension (browser-specific step)

Key Features

  • Multi-agent architecture for coordinating multiple autonomous browser agents
  • On-device execution inside a browser extension to limit external data exposure
  • Configurable LLM per agent so agents can use different models or backends
  • Web automation primitives for navigation, form interaction, and DOM querying
  • Extension hooks and configuration files to customize agent behavior and workflows

Community

Nanobrowser is developed as an open-source project on GitHub (issues, pull requests, and discussions are the primary engagement channels). Contributors and users interact via the repository; roadmap, examples, and contribution guidelines are maintained in the repo README and associated docs.

Last Refreshed: 2026-01-09

Key Information

  • Category: Agent Applications
  • Type: AI Agent Applications Tool
Visit Official Website

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