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How to give a coding agent a fast local browser for page tasks with Fast Browser Use

Let Claude Code, Codex or Cursor handle planning while a local engine handles clicks, selects and scrolls.

Authorization notice. Fast Browser Use is dual-use. Only use it on software, sites and systems you own or have explicit permission to test.

Who it is forA developer using an AI coding agent who needs it to navigate a website or docs page during a task and wants low latency with no cloud inference.

The problemCloud browser agents add seconds per step and send full pages or screenshots to a remote service.

The outcomeThe host agent plans the task and calls the local engine for page actions, then checks the final page state against ground truth.

What you need first

  • Linux, Windows or macOS with Python 3.12+
  • uv (https://docs.astral.sh/uv/getting-started/installation/)
  • Local Qwen3.5-9B or Qwen3.5-35B-A3B model weights, run through MLX or PyTorch (CUDA or CPU)
  • Optional: Node
  • Host agent such as Claude Code, Codex, or Cursor, if you want the agent skill

Steps

  1. Clone the repo with git clone https://github.com/APUS-AI-Lab/fast-browser-use (inferred, check the README)
  2. Install Python 3.12+ and uv, then set up the local Qwen3.5 model as described in the README Quickstart.
  3. Install the skill for your host by following the Agent Skill Setup section, which covers Claude Code and Codex.
  4. Ask the host agent to hand page steps to the engine and keep planning and code analysis in the host.
  5. Review the returned execution trace and confirm the final URL or title with an external check.

Prompt for your agent

Using the fast-browser-use skill in <repo path>, complete the browser task <task description> on <start URL>. Return the step-by-step execution trace and the final page URL and title. Verify the final URL matches <expected URL> before marking the task done.

Caveat. The README names Claude Code, Codex and Cursor as hosts, but the exact skill install commands are not in the excerpt, so verify them in the full README.

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