--- title: "openbrowser" type: "tool" slug: "ntegrals-openbrowser" canonical_url: "https://www.graphcanon.com/tools/ntegrals-openbrowser" github_url: "https://github.com/ntegrals/openbrowser" homepage_url: null stars: 9489 forks: 865 primary_language: "TypeScript" license: "MIT" categories: ["ai-agents"] tags: ["sandbox", "claude", "playwright", "puppeteer", "automation", "ai-agents"] updated_at: "2026-07-07T18:35:02.645044+00:00" --- # openbrowser > AI-powered autonomous web browsing framework for TypeScript Open Browser is an AI agent toolkit enabling autonomous web navigation tasks in browsers. It supports multiple AI models, offers a REPL interface, and runs agents in sandboxed environments. ## Facts - Repository: https://github.com/ntegrals/openbrowser - Stars: 9,489 · Forks: 865 · Open issues: 19 · Watchers: 249 - Primary language: TypeScript - License: MIT - Last pushed: 2026-04-02T12:55:42+00:00 ## Categories - [AI Agents](/categories/ai-agents.md) ## Tags sandbox, claude, playwright, puppeteer, automation, ai-agents ## Related tools - [ECC](/tools/affaan-m-ecc.md) - The agent harness performance optimization system (★ 226,962) - [hermes-agent](/tools/nousresearch-hermes-agent.md) - The self-improving AI agent built by Nous Research (★ 210,880) - [AutoGPT](/tools/significant-gravitas-autogpt.md) - AutoGPT: Build, Deploy, and Run AI Agents (★ 185,417) - [ollama](/tools/ollama-ollama.md) - Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. (★ 175,659) - [langflow](/tools/langflow-ai-langflow.md) - Langflow is a powerful platform for building and deploying AI-powered agents and workflows. (★ 151,298) - [dify](/tools/langgenius-dify.md) - Production-ready platform for agentic workflow development (★ 148,070) - [firecrawl](/tools/firecrawl-firecrawl.md) - The API to search, scrape, and interact with the web at scale. (★ 147,117) - [langchain](/tools/langchain-ai-langchain.md) - The agent engineering platform. (★ 141,211) ## README (excerpt) ```text

Open Browser

AI-powered autonomous web browsing framework for TypeScript.

License GitHub stars

Header --- Give an AI agent a browser. It clicks, types, navigates, and extracts data — autonomously completing tasks on any website. Built on Playwright with first-class support for OpenAI, Anthropic, and Google models. > **Production-ready since v1.0.** Contributions welcome. ## Why Open Browser? - **Autonomous agents**: Describe a task in natural language, and an AI agent navigates the web to complete it — clicking, typing, scrolling, and extracting data without manual scripting - **Multi-model support**: Works with OpenAI, Anthropic, and Google out of the box via the Vercel AI SDK — swap models with a single flag - **Interactive REPL**: Drop into a live browser session and issue commands interactively — great for debugging, prototyping, and exploration - **Sandboxed execution**: Run agents in resource-limited environments with CPU/memory monitoring, timeouts, and domain restrictions - **Production-ready**: Stall detection, cost tracking, session management, replay recording, and comprehensive error handling - **Open source**: MIT licensed, fully extensible, bring your own API keys ## Quick Start ```bash # Install dependencies bun install # Set up your API keys cp .env.example .env # Edit .env with your API keys # Run an agent bun run open-browser run "Find the top story on Hacker News and summarize it" # Or open a browser interactively bun run open-browser interactive ``` ## Architecture Open Browser is a monorepo with three packages: | Package | Description | | --------------------------- | -------------------------------------------------------------------------- | | **`open-browser`** | Core library — agent logic, browser control, DOM analysis, LLM integration | | **`@open-browser/cli`** | Command-line interface for running agents and browser commands | | **`@open-browser/sandbox`** | Sandboxed execution with resource limits and monitoring | ## CLI Commands ### Run an AI Agent ```bash open-browser run [options] ``` Describe what you want done. The agent figures out the rest. ```bash # Search and extract information open-browser run "Find the price of the MacBook Pro on apple.com" # Fill out forms open-browser run "Sign up for the newsletter on example.com with test@email.com" # Multi-step workflows open-browser run "Go to GitHub, find the open-browser repo, and star it" ``` | Option | Description | | ---------------------------- | ----------------------------------------- | | `-m, --model ` | Model to use (default: `gpt-4o`) | | `-p, --provider ` | Provider: `openai`, `anthropic`, `google` | | `--headless / --no-headless` | Show or hide the browser window | | `--max-steps ` | Max agent steps (default: `25`) | | `-v, --verbose` | Show detailed step info | | `--no-cost` | Hide cost tracking | ### Browser Commands ```bash open-browser open # Open a URL open-browser click # Click an element open-browser type # Type into an input open-browser screenshot [output] # Capture a screenshot open-browser eval # Run JavaScript on the page open-browser extract # Extract content as markdown open-browser ``` --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/tools/ntegrals-openbrowser`](/api/graphcanon/tools/ntegrals-openbrowser) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_