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WebBrain

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WebBrain is a free, open-source browser extension that brings AI agent capabilities to Chrome, Firefox, and Edge. It can read pages, extract data, and automate browser tasks using the LLM provider you choose, including local models.

WebBrain preview

Open-source browser AI for reading, extracting, and acting on web pages

WebBrain is a browser extension that adds AI agent features to your browser sidebar. It can understand pages, answer questions from the current content, extract structured data, and automate tasks such as clicking, typing, scrolling, and navigating.

The product is designed as a free, open-source alternative to proprietary browser AI tools. It supports Chrome, Firefox, and Edge, and the docs say it works with multiple LLM providers, including local models that can run entirely on your machine.

Core capabilities

Page understanding

Reads articles, docs, dashboards, and forms, then answers questions based on the current page content.

Browser action agent

Clicks, types, scrolls, navigates, and interacts with pages on your behalf for repetitive or multi-step browser work.

Structured data extraction

Extracts tables, lists, links, and form data from web pages and can work with PDFs as well.

Multi-provider LLM support

Works with local llama.cpp setups, OpenAI, Claude, and OpenRouter, so users can choose the model and deployment style they prefer.

Privacy-first operation

Supports local LLM use for reduced data leakage and is described as open-source with no telemetry, tracking, or accounts required.

Context and safety controls

Uses smart context management to reduce token overflow, starts in read-only Ask Mode by default, and asks before consequential actions.

Practical ways to use WebBrain

  • Summarize a page or article

    Open a page in the browser and ask for a summary or a direct answer from the visible content, without copying text into another tool.

  • Extract data from tables and forms

    Use natural language prompts to pull names, prices, addresses, links, or other structured fields from a page, including PDFs.

  • Automate routine browsing steps

    Let the agent click through pages, fill forms, scroll, and navigate when a workflow requires multiple browser actions.

  • Use local models for private workflows

    Run WebBrain with a local LLM when you want browser assistance without sending page content to a cloud model.

  • Handle repetitive low-stakes form entry

    Use profile autofill for saved plaintext details so the agent can move through simple sign-up flows more quickly, while keeping the feature off by default.

Pros and Cons

Pros

  • Free and open source, with the code and behavior described as auditable.
  • Supports multiple model providers, including local models and OpenAI-compatible APIs.
  • Covers both reading and action, so it can answer questions and carry out browser steps.
  • Works in Chrome, Firefox, and Edge.
  • Adds safety defaults such as read-only Ask Mode and confirmations before consequential actions.

Cons

  • Some capabilities are still limited by the chosen LLM and its context window.
  • Dry-run mode is not yet available, according to the FAQ.
  • Optional CAPTCHA solving requires a user-provided CapSolver API key and is not included by default.

FAQ

Is WebBrain free to use?

Yes. The site describes WebBrain as a free, open-source browser extension, and the FAQ says it is a free alternative to Claude's browser plugin.

Which browsers does WebBrain support?

The FAQ says WebBrain has versions for Chrome, Firefox, and Edge, with identical features across the Chrome and Firefox builds.

Which LLMs can it use?

The product page says it works with local llama.cpp models, OpenAI, Claude, and OpenRouter. The docs also say you can connect any OpenAI-compatible API or run a local model.

What kinds of tasks can it do?

It can read page content, answer questions, extract structured data, and automate browser actions such as clicking, typing, scrolling, and navigating.

Does WebBrain support local or offline use?

Yes. The site says you can run it with a local model, and the docs describe local LLM use as a privacy-oriented option that can keep data on your machine. It does not claim fully offline use for every feature in every setup, so availability depends on the model and configuration.

Quick Facts

Category
AI Browser Agent
Platform
Chrome, Firefox, Edge
License
MIT
Source domain
webbrain.one
Primary workflow
Read pages, extract data, and automate browser actions from a sidebar agent
Model support
Local llama.cpp, OpenAI, Claude, OpenRouter, and other OpenAI-compatible APIs