Automate anything - with free and secure AI.
Create custom AI agents that run in your browser without a single line of code.
No API costs, no maintenance, full privacy.
Pre-built workflows to get you started
Leverage templates and example use cases built by our community
Blog Post Generator
Email Thread Summarizer
LinkedIn Profile Analyzer
Select. Connect. Run.
Automate any task in seconds with an intuitive no-code workflow builder
1. Select nodes from the library
Choose from a variety of pre-built nodes designed to handle different tasks. From text and audio input, to page scraping and various file formats, we've got you covered.
2. Connect each node
Drag and drop to connect nodes and create your workflow. The visual interface makes it easy to understand and modify your automation.
3. Run your workflow
Execute your workflow with a single click. Monitor the progress in real-time and get instant results from your automation.
Why run LLMs locally in a browser?
Simply put: it's cheaper, more secure, and requires way less effort than API-based LLMs
It's much cheaper
Running LLMs locally in a browser leverages the browser's GPU, eliminating the need for per-API-call fees or cloud infrastructure costs.
It's completely private
Instead of sending data to third-party servers, every request is processed locally, eliminating the risk of exposing confidential information.
There's nothing to maintain
Since running LLMs in your browser requires no servers, API keys, or other infrastructure, there's nothing to maintain. Just build.
Download the new Browseragent Chrome extension
- Quick access to all your workflows directly from your browser toolbar
- Automatically fetch context from your current webpage
- Run any workflow with a single click, right where you need it
Built upon our open-source library BrowserAI
Powering Browseragent is BrowserAI, our open-source library that enables running AI models locally in browsers. To contribute, join our Discord and check our GitHub! We'd love for you to leave a star ⭐️
import { BrowserAI } from '@browserai/browserai'
const browserAI = new BrowserAI()
await browserAI.loadModel('llama-3.2-1b-instruct')
const response =
await browserAI.generateText('Hello, how are you?')import { BrowserAI } from '@browserai/browserai'
const browserAI = new BrowserAI()
await browserAI.loadModel('llama-3.2-1b-instruct')
const response =
await browserAI.generateText('Hello, how are you?')
