// agents · agentrhq/webcmd

webcmd

webcmd é um projeto de agentes de IA de código aberto de agentrhq (agentrhq/webcmd no GitHub). Tem 2.665 estrelas no GitHub e 1.542 forks, é publicado sob a licença Apache-2.0 e foi atualizado pela última vez no GitHub em 25 de setembro de 2026.

Self-learning browser infrastructure for AI agents — sites remembered, so agents stop rediscovering the web

★ 2,7 mil estrelas⑂ 1,5 mil forksApache-2.0atualizado set 2026

Ver no GitHub ↗Official site ↗

▦ visual: o README deste projeto não inclui nenhuma captura incorporável,
então aqui vai um marcador. O guia abaixo está completo mesmo assim.

// dados do projeto

Dados do projeto

Repositório: agentrhq/webcmd
Estrelas no GitHub: 2.665
Forks: 1.542
Licença: Apache-2.0
Última atualização no GitHub: 25 de setembro de 2026
Categoria: Agentes de IA
Tipo de ficha: Guia de instalação completo
Site oficial: Official site

// como funciona

Como funciona

Clarify your goal
Name the outcome you want from the web — research with source links, data from a logged-in site, a price/availability check — in one prompt.
Get Webcmd
Install the npm package globally (Node.js 20.6+ required).
Install the skill
Run webcmd skills add and choose your harness (Claude, Codex, another supported harness, or a custom path).
Run your first task
Tag the webcmd-browser skill for live browser work and describe the outcome; Webcmd works in a real browser and quietly retains navigation context for next time.

// recursos

Por que as pessoas gostam tanto

Live browser control

Agents inspect, click, type, extract and capture network calls in a real browser to complete tasks on unfamiliar sites.

Sitemap memory

For familiar sites, Webcmd keeps an agent-facing sitemap of observed pages, states, actions, workflows, APIs, pitfalls and fallback paths.

Logged-in profiles

Profiles are cookie jars for authenticated sessions (e.g. a 'work' or 'social' profile); sessions are independent browser windows within a profile, so parallel agents can work safely.

Sandboxed browser programs

For multi-step local exploration, agents can send one Playwright-style program to an explicit browser session via webcmd browser run.

Learning stays local and quiet

After an optional first-access cloud seed, subsequent learning stays local; learning never blocks the task and the live browser is always the truth.

Broad site coverage

Used across research/community sites, social and professional networks, AI tools, shopping and booking products — the README stresses the same workflow works on other sites too.

// execute você mesmo

Execute você mesmo

Clone the repo
Clone webcmd if you want the source; the normal install is the npm package in step 2.
```
git clone https://github.com/agentrhq/webcmd.git
cd webcmd
```
Install Webcmd
Install globally and add the browser skill to your harness, as the quick start shows.
```
npm install -g @agentrhq/webcmd
webcmd skills add
```
Run a browser session
Create a named session in a profile, inspect its tabs, and close it when done (raw browser commands need an explicit session ID).
```
webcmd --profile work session create "Work Project" -f json
webcmd --profile work session close work-project-k7
```

// casos de uso

O que você pode criar

Research across Hacker News, Reddit or PubMed with source links returned
Collecting your own bookmarks or messages from logged-in sites
Checking part prices and stock across supplier sites
Combining data from two authenticated tools into one summary

// perguntas frequentes

Perguntas frequentes

Who maintains Webcmd?

agentrhq (AgentR) maintains it; docs are at webcmd.dev.

Is Webcmd free?

The package is Apache-2.0 licensed open source. Webcmd Cloud (hosted sessions) is described as in active development and not yet stable.

Does it need a paid API key?

Webcmd is browser infrastructure your agent drives; model costs belong to the harness (Claude, Codex, etc.) you connect it to.

How does it compare to a plain Playwright script or browser MCP?

Those start from zero on every run. Webcmd adds a persistent, self-learning memory of how sites work, so repeat tasks skip rediscovery.

How do I get started?

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Baixe o webcmd

Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.

Ver no GitHub ↗← Mais ferramentas de Agentes de IA