Oya Browser logo

Oya Browser

Organization
OyadotAI
oya-browser

Drive real Chrome browsers through Oya Browser. Start a browser on Oya Cloud, Browserbase, Steel, Anchor or Browser Use under a persistent persona, read pages as markdown with numbered elements, click and type, solve CAPTCHAs and MFA, and hand off to a human when needed. Use when the user asks to browse a site, automate a web task, fill a form, log in somewhere, scrape, or run several browsers at once. Works through the @oya-ai/browser SDK (which signs itself up and pairs the user's desktop browser with their logins), the Oya MCP tools, or the `oya` CLI.

Overview

PublisherOyadotAI
Repositoryoya-browser
Skill nameoya-browser
Stars
351
Forks
281
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by OyadotAI on GitHub. Read the source before you install it.

Installation

Install the Oya Browser AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/OyadotAI/oya-browser/tree/main/skills/oya-browser
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/OyadotAI/oya-browser.git /tmp/oya-browser
mkdir -p .claude/skills
cp -r /tmp/oya-browser/skills/oya-browser .claude/skills/oya-browser
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Oya Browser in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Oya Browser on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Oya Browser is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Oya Browser

Oya gives you real Chrome browsers behind one API. Each browser runs as a persona: a fingerprint, cookie jar and proxy that stay the same across runs, so a site sees the same device every time. You drive it by page structure, not selectors: read the page as markdown with numbered elements, then act on the numbers.

Setup (once)

Prefer the SDK (Node 22.3+). It needs nothing from the user but their email:

ts
import { Oya } from "@oya-ai/browser"; // npm install @oya-ai/browser

// No OYA_API_KEY and nothing in ~/.oya/config.json? Get a key of your own (saved there).
const { claimUrl } = await Oya.signup({ email: "<the user's email>" });

const oya = new Oya();
const browser = await oya.desktop.connect(); // the user's own browser, with their logins

desktop.connect() pairs the Oya desktop app when it is not connected yet: tell the user to click Connect in the Oya window and keep "Also import my logins" ticked (on macOS, allow "Chrome Safe Storage"). If the app is missing, the error gives the download link. claimUrl matters only for Oya Cloud browsers: send it to the user then.

MCP tools, when the user already set them up, work too: claude mcp add --transport http oya https://oyabrowser.com/mcp/pool --header "Authorization: Bearer $OYA_API_KEY". The CLI is npm install -g @oya-ai/cli.

Over MCP

  1. start_browser, starts a browser and makes every other tool drive it. Optional: persona ("auto", "default" or an id), provider, url.
  2. navigate(url), then analyze_page().
  3. Act: click(element_id), type(element_id, text), press_key(key), scroll(direction, amount?).
  4. analyze_page() again after anything that changes the page. Element ids are reassigned on every analysis.
  5. stop_browser() when you are done. A running browser costs money.

Also available: screenshot, wait(selector), click_coordinates(x, y), mouse_move(x, y), double_click, keyboard_type(text), drag, pool_status.

Faster ways through a page:

  • find(query) returns just the elements matching a description ("search box", "next page") instead of the whole page.
  • run_script(script) reads the page with JavaScript and returns data: every row of a table, all prices in a list. It only reads; act with click and type.
  • wait_for(text?, url?, network_idle?) waits for results that load in the background instead of re-analyzing in a loop.
  • select_option(element_id, option) for native dropdowns, hover(element_id) for hover menus, go_back, go_forward, reload.
  • list_playbooks and run_playbook(name, variables) replay a saved flow without a model; run_task(task) hands a whole task to Oya's own agent and returns its report.

Native dialogs. An alert() or beforeunload is answered for you and its text comes back on the next tool result, read it: it usually says why the last action did not do what you expected. A confirm() or prompt() holds the page: every other command fails immediately with the dialog's message until you call handle_dialog(accept, prompt_text?). Accept only what the task asks for, a confirm is often guarding something destructive.

If a tool says no browser is running, call start_browser. If pool_status already lists browsers (the user's desktop app, say), you can drive those without starting one.

Over the CLI

bash
oya start --persona auto          # prints the browser id
oya goto https://example.com      # newest browser; --id <id> picks one
oya ask "Find the pricing page and summarize the plans"   # needs a model, set with `oya init`
oya status                        # health and recent commands
oya open                          # the live view, for a human
oya rm <id>                       # stop it; `oya rm --all` stops everything

Add --json to any command for machine-readable output.

In code (SDK)

ts
import { Oya } from "@oya-ai/browser";

const oya = new Oya(); // reads OYA_API_KEY
const browser = await oya.browser.start({ persona: "auto", captcha: "auto" });
try {
  await browser.goto("https://example.com");
  const { markdown, elements } = await browser.analyze();
  const link = elements.find((e) => e.visible && e.text?.includes("More information"));
  if (link) await browser.click(link.id);
} finally {
  await browser.stop();
}

browser.cdpUrl connects Playwright or Puppeteer: chromium.connectOverCDP(browser.cdpUrl).

Reading analyze_page

A header (url, title, viewport, scroll position, element counts), the page as markdown with elements inline, then an index split into visible and off-screen:

[#9 input:text placeholder="Search"]   → type(9, "query")
[#13 button "Search"]                  → click(13)
[#4 link "Pricing" → /pricing]         → click(4)

Off-screen elements need a scroll first. While a modal is open, the analysis is scoped to it.

Patterns

  • Forms: type into each field, click submit, then analyze to confirm it worked.
  • Dropdowns: click to open, analyze, click the option.
  • Infinite scroll: scroll("down", 800) returns a fresh analysis.
  • Nothing clickable by id: take a screenshot, then click_coordinates(x, y). Hover with mouse_move to reveal menus.

Personas

  • "auto" picks the least recently used persona under its concurrency cap; "default" is the key's own.
  • A persona's device never changes. Don't try to refresh a fingerprint; for another device of the same kind, clone the persona (oya personas clone <id>).
  • Logged-in state lives on the persona. If the user signed in through the Oya desktop app, start on that persona and the site is already logged in.

CAPTCHA, MFA and humans

  • captcha: "auto" (SDK) solves CAPTCHAs as they appear; browser.solveCaptcha() solves one on demand. Over MCP: solve_captcha.
  • Over MCP, sign_in fills a login form with the persona's stored credentials for the site and complete_mfa enters a one-time code; you never see either.
  • browser.completeMfa() enters a code when the persona has a factor sealed: a TOTP seed, or a mailbox (Gmail / Microsoft 365) the code is read from. The code is extracted from the email by the configured LLM, not a regex, so a portal rewriting its template does not break it. If it returns a liveViewUrl, a person has to approve (push, passkey): give the user that URL and wait.
  • Portal sign-ins happen on their own. When a persona has credentials stored for a site, a run that meets that site's login page fills and submits it, asks for the code if the portal has a separate request step, and carries on, with no tool call from you. A factor and a credential are filed per site, so one persona can drive several portals.
  • If the site refuses the stored password, the run stops and asks for a person. Do not retry it and do not type a password you were not given for that site. These portals lock accounts after a few attempts, and a locked clinical account is a support ticket, not a retry.
  • CLI takeover: oya takeover <id>, the human works in oya open --id <id>, then oya release <id> and oya resume <id>.
  • Never type the user's passwords or codes into a page unless they gave them to you for that site.

Rules

  1. Analyze before acting; never guess an element id.
  2. Re-analyze after every page change.
  3. Navigate straight to URLs instead of clicking through menus.
  4. Stop every browser you start.
  5. "Every persona is at its concurrency cap" (429): stop a browser or ask the user to raise the cap. Don't retry in a loop.
  6. "Element not found": the ids are stale, analyze again. A page that won't load: retry navigate once, then wait for a selector or take a screenshot.

Docs: https://oyabrowser.com/docs · For agents: https://oyabrowser.com/llms.txt

Frequently asked questions

What does the Oya Browser AI skill do?

Drive real Chrome browsers through Oya Browser. Start a browser on Oya Cloud, Browserbase, Steel, Anchor or Browser Use under a persistent persona, read pages as markdown with numbered elements, click and type, solve CAPTCHAs and MFA, and hand off to a human when needed. Use when the user asks to browse a site, automate a web task, fill a form, log in somewhere, scrape, or run several browsers at once. Works through the @oya-ai/browser SDK (which signs itself up and pairs the user's desktop browser with their logins), the Oya MCP tools, or the `oya` CLI.

Why use Oya Browser on TypingMind?

Because you install it once and use it with any model. Oya Browser is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Oya Browser in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/OyadotAI/oya-browser/tree/main/skills/oya-browser. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Oya Browser?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Oya Browser?

As many as you like. As long as a model supports skills, you can use Oya Browser with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Oya Browser AI skill free?

It is published on GitHub by OyadotAI. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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