AI product Open source

Fast Browser Use

Fast Browser Use is a local-first browser automation engine and agent skill for Claude Code, Codex, Cursor, and Python workflows. It runs Qwen3.5 models locally through MLX or PyTorch on Apple Silicon, CUDA GPUs, or CPUs, without cloud inference.

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Overview

The engine scans the rendered page for visible, interactable controls and converts them into bounded action candidates such as click, select, type, and done. It maps those candidates to single vocabulary tokens, scores them with one forward pass, and dispatches the selected browser action instead of generating CSS selectors, XPath expressions, or Playwright code. Text generation is used specifically for typing into fields, while structural actions use discrete logits scoring. The runtime also includes page-settling waits, visibility and occlusion checks, DOM-freshness checks, read-only protection, immutable execution traces, and external URL, title, and text assertions for outcome verification.

The project provides a command-line interface, a Python API, and installable agent-skill integration, using Playwright Chromium for browser execution. It supports offline model operation after local weights are downloaded and is released under the MIT License.

What Fast Browser Use is used for

1 use taken from transcripts — each links to the moment in the video.

  • A browser automation agent that scans controls actually visible on a page and uses a local model to select among them. It can navigate sites and fill forms, while leaving an inspectable execution trace.

Videos mentioning Fast Browser Use

1 in the library.