Agentes de IA
webcmd
Self-learning browser infrastructure for AI agents — sites remembered, so agents stop rediscovering the web
★ 2,7k estrellasApache-2.0
Ver la guía →steel-browser es un proyecto de agentes de IA de código abierto de steel-dev (steel-dev/steel-browser en GitHub). Tiene 7.753 estrellas en GitHub y 989 bifurcaciones, se publica bajo la licencia Apache-2.0 y se actualizó por última vez en GitHub el 6 de octubre de 2026.
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.
Los demás proyectos de Agentes de IA con más estrellas del catálogo de LibreAI: la lista realista de alternativas si steel-browser no es lo que buscas.
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.
Proyectos de Agentes de IA cercanos en el catálogo, los más próximos en estrellas a steel-browser: sigue explorando a ambos lados.
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.
Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.