Webcmd

Self-learning browser infra for AI agents.

Webcmd learns the navigational context of websites as agents use them, then compiles that knowledge into deterministic commands for faster, cheaper, more reliable browser automation. The goal is simple: stop making agents rediscover the same sites on every run and cut browser-agent token spend by up to 90%.

On top of live browser control, Webcmd adds 3 layers of learnings. Each layer collapses cost and variance for the layer above it.

Layer	Scenario	What Webcmd Helps With
0. Live browser control	The site is unfamiliar.	Use `webcmd browser` to inspect, click, type, extract, capture network calls, and complete the task in a real browser.
1. Sitemap memory	The site is familiar, but the action space is not fully known.	Capture an agent-facing sitemap of observed pages, states, actions, workflows, APIs, pitfalls, and fallback paths.
2. CLI authoring	The action space is known, but the path is still too variable for one fixed sequence.	Explicitly author a reusable `webcmd <site>` adapter with structured output, so future agents spend tokens on the task instead of navigation.
3. Extend existing CLIs	The workflow is deterministic enough to stop browsing.	Extend the `webcmd <site>` adapter with a tailored command so the workflow runs instantly with the least amount of tokens.

For local, multi-step browser exploration, agents can send one sandboxed Playwright-style program to an explicit browser session:

webcmd session create -f json
webcmd --session session_abc browser run --file explore.js
printf 'return await page.title();' \
  | webcmd --session session_abc browser run --stdin
webcmd session close session_abc

Profiles are cookie jars; Sessions are independent browser windows within a profile, so parallel agents should create separate Sessions. Adapter commands use an adapter-default Session unless --session intentionally routes them to an explicit one.

Demo

https://github.com/user-attachments/assets/04eceadc-d398-4303-984d-ae3197bfa664

Quick Start

Agent prompt

Fetch and follow https://raw.githubusercontent.com/agentrhq/webcmd/main/start.md to set up Webcmd end to end.

Manual

Webcmd requires Node.js 20.6+.

npm install -g @agentrhq/webcmd

The npm package ships the Webcmd core and browser commands, but no site adapters. Search the plugin catalog and explicitly install the adapter you need:

webcmd plugin search <site> -f json
webcmd plugin install <installSource-from-search>

webcmd skills add

When prompted, choose Claude, Codex, another supported harness, or a custom skills path.

In your agent harness, load or tag webcmd-usage, then describe the outcome you want.

Use webcmd to research the latest discussions about browser automation across Hacker News and Reddit, then return a concise comparison with source links.

What You Can Ask

“Use webcmd to research agentic browser automation on PubMed and return the title, authors, publication date, abstract, and URL for each result.”
“Use webcmd to find active AI infrastructure companies in the YC company directory and return the company, batch, description, location, profile URL, and source links. Keep it read-only.”
“Use webcmd to look up parts on Grainger by part number and return price, stock, minimum order quantity, lead time, and product URL.”
“Use webcmd with my logged-in work profile to summarize unread LinkedIn messages from the last seven days and return the sender, subject or opening text, received time, and conversation URL.”
“Repair webcmd reddit popular --limit 10 and keep returning the title, subreddit, score, comment count, and URL.”
“Use webcmd to check Grainger part prices and SAP Ariba purchase-order status, then return a combined summary.”

See It in Action: X → CLI

Use webcmd with my logged-in `social` profile to collect my recent X bookmarks and return the author, text, and URL.

The agent explores the X workflow once using the logged-in profile. It creates a stable command that returns the requested bookmark fields. Later agents reuse that command instead of repeating browser exploration; learn the pattern in X → CLI.

Where Webcmd Works

Beyond website adapters, Webcmd can work through authenticated browser sessions, APIs, desktop apps, and local tools.

Group	Supported surfaces	Representative outcomes
research and communities	Hacker News, Reddit, PubMed	Compare current discussions, find primary research, and return concise summaries with source links.
social and professional	X/Twitter, LinkedIn, TikTok	Collect bookmarks, monitor public posts, or research people and creators with a named profile when needed.
AI tools	ChatGPT, Claude, Gemini, NotebookLM	Retrieve conversations, research outputs, notebooks, and generated materials from the tools you already use.
shopping and bookings	Amazon, Blinkit, Zepto, BigBasket, District, Practo	Compare products, availability, prices, appointments, events, and delivery options.

This list is illustrative; availability comes from installed plugins. Ask your agent to search and install the relevant plugin when a site is not installed.

Learn More

Webcmd Cloud can run supported commands and browser sessions on hosted infrastructure. It is in active development and is not yet stable.

Community

Community plugins

Plugin	Description	Author
`omnisearch`	No-login research across Hacker News, Stack Overflow, GitHub, arXiv, Dev.to, Lobsters, and Bluesky	Rishet Mehra
`pypi`	Inspect public Python package metadata, downloads, and releases from PyPI	Kemal Kaya
`skyscanner`	Skyscanner flight search commands for Webcmd	Rishabh

Contributing

See CONTRIBUTING.md.

License

Released under the terms in LICENSE.