webcmd
Self-learning browser infrastructure for AI agents — sites remembered, so agents stop rediscovering the web
steel-browser ist ein Open-Source-Projekt aus der Kategorie KI-Agenten von steel-dev (steel-dev/steel-browser auf GitHub). Es hat 7.753 Sterne auf GitHub und 989 Forks, wird unter der Lizenz Apache-2.0 veröffentlicht und wurde zuletzt am 6. Oktober 2026 auf GitHub aktualisiert.
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.
Self-learning browser infrastructure for AI agents — sites remembered, so agents stop rediscovering the web
Bright Data's MCP server: web search, scraping, structured data and browser automation for agents (75 tools)
The batteries-included agent harness from the LangChain team.
Open-source agentic browser your AI agents drive with your logins, plus an AI browser for humans.
Simple desktop AI assistant with knowledge bases, agents, and web search.
Qwen-AgentWorld: a language world model simulating MCP, terminal, web, and OS environments for agents.
Die anderen Projekte der Kategorie KI-Agenten mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls steel-browser nicht das Richtige ist.
A personal AI that really does things — on any OS, with your data staying yours.
An agentic skills framework & software development methodology that works.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
The agent that grows with you — a Python framework for adaptive AI agents.
DeepSeek's plugin-based agent harness where everything is a plugin.
Verwandte Projekte der Kategorie KI-Agenten im Katalog, die steel-browser bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
Flexible and powerful framework for managing multiple AI agents and handling complex conversations
Honcho — Plastic Labs' memory library for stateful agents that learn about their users over time.
ZCode — Z.ai's AI coding workspace: desktop app, browser interface and terminal agent in one open-source harness
Reef — infrastructure for continually self-improving agents: weight-training and harness-evolving deployments.
Upsonic — build autonomous AI agents in Python, with prebuilt agents, custom tools, MCP and OCR built in.
Put guardrails on LLMs: validate outputs before they reach users.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.