BrowserAgent is a no-code platform that lets you create AI agents running entirely inside your web browser. Using a visual drag-and-drop workflow builder, you connect pre-built nodes to automate tasks like web scraping, email summarization, blog post generation, and LinkedIn profile analysis. Because it runs large language models locally on your browser's GPU, your data never leaves your device. Built by Cloud Code AI, it offers unlimited agent executions at a fixed monthly cost with no per-run API fees.
BrowserAgent is a no-code platform for building AI-powered automation agents that run entirely inside your web browser. It uses your browser's local GPU to process AI tasks, meaning your data stays on your device and you avoid per-call API costs.
No. BrowserAgent provides a visual drag-and-drop workflow builder and pre-built templates for common tasks. You can describe steps in plain English and the tool converts them into executable workflows. However, developers who want deeper customization can use the BrowserAI SDK with JavaScript or TypeScript.
BrowserAgent is designed primarily for Chrome and Chromium-based browsers. It relies on WebAssembly and WebGPU for local AI processing. Support for Firefox and Safari is limited or not available.
Yes. All AI processing happens locally on your device. BrowserAgent does not send data to external servers or third-party APIs. The developer discloses that user data is not sold or transferred for purposes outside the tool's core functionality.
BrowserAgent offers a free tier with limited cloud calls (50 per month). Paid plans start at approximately $20/month and include unlimited agent executions, visual builder access, and collaboration features.
Common use cases include web scraping, email summarization, LinkedIn profile analysis, blog post generation, form filling, and data extraction. Pre-built templates help you get started quickly with these workflows.
Yes. Because agents run inside your actual browser session, they operate within your existing authenticated state. This means they can interact with sites where you're already logged in without needing separate credentials.
You need a modern Chromium-based browser with WebGPU support. A device with a capable GPU will provide the best performance for local AI model execution. Older hardware may experience slower processing speeds.
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