AIエージェント
webcmd
Self-learning browser infrastructure for AI agents — sites remembered, so agents stop rediscovering the web
★ 2.7k スターApache-2.0
ガイドを見る →steel-browserは、steel-devが公開しているオープンソースのAIエージェントプロジェクトです（GitHub: steel-dev/steel-browser）。GitHubスターは7,753、フォークは989で、Apache-2.0ライセンスの下で公開されています。GitHubでの最終更新は2026年10月6日です。
A batteries-included browser API so agents can automate the web.
Decide what you want the project to do before installing anything.
Grab the source and skim the README for setup requirements.
Install dependencies and add any API keys or settings it needs.
Launch it and follow the example workflow from the docs.
Controllable browsers on demand.
Sessions, proxies, and infra handled.
Isolated browser environments.
Designed for AI workloads.
Apache-2.0, self-hostable.
Pushed in October 2026.
Download the source and move into the project folder.
git clone https://github.com/steel-dev/steel-browser.git
cd steel-browserPull in the Node packages the project needs.
npm installTreat these as starting points - the README documents the exact commands.
npm run buildIt is an open-source project at steel-dev/steel-browser with 989 forks. Check the repo's contributors and recent commits to judge how active maintenance is.
Yes - it is Apache-2.0 licensed, so it is free for commercial use with attribution.
Browser control runs locally and is free; you only pay if you pair it with a hosted model API.
Steel is a browser API/sandbox you call; browser-use is a Python library you embed; agent-browser is a CLI you shell out to. Choose by integration style: API, library, or command line.
Clone the repo, read the README's quickstart, and run the provided example - most projects get you to a first result in minutes.
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