feat(examples): add 2 LangChain Deep Agents cookbooks

.github/CODEOWNERS

@@ -0,0 +1 @@
+* @browserbase/gtm

.github/PULL_REQUEST_TEMPLATE.md

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+## Summary
+
+<!-- Provide a brief description of what this PR does and why -->
+
+## Type of Change
+
+<!-- Mark relevant option with an "x" -->
+
+- [ ] Bug fix (non-breaking change that fixes an issue)
+- [ ] New feature (non-breaking change that adds functionality)
+- [ ] Breaking change (fix or feature that would cause existing functionality to not work as expected)
+- [ ] Documentation update
+- [ ] Performance improvement
+- [ ] Refactoring (no functional changes)

.github/dependabot.yml

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+version: 2
+updates:
+  # Enable version updates for npm
+  - package-ecosystem: "npm"
+    directory: "/"
+    schedule:
+      interval: "weekly"
+    open-pull-requests-limit: 5
+    commit-message:
+      prefix: "chore(deps):"
+      include: "scope"

.gitignore

@@ -123,4 +123,22 @@ temp/
 
 # Test artifacts
 test-results/
-playwright-report/ 
+playwright-report/ 
+
+# Claude Code
+.claude/
+
+# venv
+venv/
+.venv/
+
+# Python
+__pycache__/
+*.py[cod]
+*$py.class
+*.so
+.Python
+*.egg-info/
+.pytest_cache/
+.mypy_cache/
+.ruff_cache/

README.md

@@ -1,121 +1,77 @@
 # Browserbase Integrations
 
-**A comprehensive monorepo of production-ready integrations for Browserbase - the headless browser infrastructure for AI agents and web automation.**
+**Production-ready integrations for Browserbase -- the complete platform to build and deploy agents that browse and interact with the web like humans.**
 
-Browserbase provides scalable, reliable browser infrastructure that powers the next generation of AI applications. This repository contains officially maintained integrations with popular frameworks, libraries, and platforms to help you build powerful web automation and AI agent solutions.
+Browserbase provides the infrastructure and developer primitives to power the next generation of browser agents. This repository contains officially maintained integrations with popular frameworks, libraries, and platforms.
 
-## 🚀 What is Browserbase?
+## What is Browserbase?
 
-Browserbase is headless browser infrastructure designed specifically for AI agents and web automation at scale. It provides:
+Browserbase is the browser agent platform -- one API key, everything your agent needs to browse the web:
 
-- **Browser sessions** that scale automatically
-- **Anti-detection capabilities** to bypass bot protection
-- **Visual debugging** with session recordings and screenshots  
-- **Global infrastructure** for low-latency access worldwide
-- **Stealth technology** to ensure reliable web interaction
+- **Headless Browsers**: programmatic access to fleets of headless browsers at scale with globally distributed infrastructure, isolated sessions, and rich observability
+- **Fetch and Search APIs**: agents can quickly search and fetch LLM context from the web for fast, token-efficient decisions
+- **Agent Identity**: enable agents to access any website through strategic partnerships and a dedicated research team
+- **Functions**: deploy and run agents on Browserbase for faster, more secure execution
+- **Model Gateway**: access major models via Stagehand with unified billing under your Browserbase API key
+- **Stagehand**: the AI SDK for browser agents -- replaces rigid selectors with natural language browser interactions that self-heal when pages change
 
-## 📦 Available Integrations
-
-Our integrations are organized by platform and use case, each with comprehensive documentation and examples:
-
-### 🤖 AI Agent Frameworks
-
-#### [**CrewAI Integration**](./examples/integrations/crewai/README.md)
-Enable your CrewAI agents to browse the web like humans with the `BrowserbaseLoadTool`. Perfect for creating intelligent agent crews that need to gather real-time web data, extract content from complex pages, and interact with modern web applications.
-
-**Key Features:**
-- Extract text from JavaScript-heavy websites
-- Capture screenshots and visual content  
-- Bypass anti-bot mechanisms
-- Seamless integration with CrewAI's tool ecosystem
-
-#### [**AgentKit Integration**](./examples/integrations/agentkit/)
-Powerful integrations for AgentKit workflows with both Browserbase and Stagehand implementations:
-
-- **[Browserbase Implementation](./examples/integrations/agentkit/browserbase/README.md)** - Direct Browserbase integration for AgentKit
-- **[Stagehand Implementation](./examples/integrations/agentkit/stagehand/README.md)** - AI-powered web automation using Stagehand
-
-#### [**LangChain Integration**](./examples/integrations/langchain/README.md)  
-Integrate Browserbase with LangChain's ecosystem for advanced AI applications. Build chains that can browse, extract, and interact with web content as part of larger AI workflows.
-
-#### [**Browser-Use Integration**](./examples/integrations/browser-use/README.md)
-Streamlined browser automation for AI applications with a focus on simplicity and reliability.
-
-### 🏗️ Development & Deployment Platforms
-
-#### [**Vercel AI Integration**](./examples/integrations/vercel/README.md)
-Enhance your Vercel applications with web-browsing capabilities. Build Generative User Interfaces that can access real-time web data and create dynamic, AI-powered experiences.
-
-**Examples Include:**
-- **BrowseGPT** - A chat interface with real-time web search capabilities
-- **Vercel + Puppeteer** - Server-side browser automation on Fluid Compute
-
-### 💳 E-commerce & Payments
-
-#### [**Stripe Integration**](./examples/integrations/stripe/README.md)
-**Agentic Credit Card Automation** - Create virtual cards with Stripe Issuing and automate online purchases with Browserbase. Perfect for programmatic commerce, testing payment flows, and building AI shopping agents.
-
-**Capabilities:**
-- Create virtual cards with spending controls
-- Automate secure online purchases
-- Available in Node.js, Python, and Stagehand implementations
-- Production-ready with comprehensive examples
-
-### 📊 Evaluation & Testing
-
-#### [**Braintrust Integration**](./examples/integrations/braintrust/)
-Integrate Browserbase with Braintrust for evaluation and testing of AI agent performance in web environments. Monitor, measure, and improve your browser automation workflows.
-
-## 🏗️ Monorepo Structure
+## Monorepo Structure
 
 ```
 integrations/
 ├── examples/
-|   |
-│   └── community/               # WIP
+│   ├── community/                # Community-contributed examples
 │   └── integrations/
-│       ├── crewai/              # CrewAI framework integration
-│       ├── vercel/              # Vercel AI SDK integration  
-│       ├── stripe/              # Stripe Issuing + automation
-│       ├── langchain/           # LangChain framework integration
-│       ├── browser-use/         # Simplified browser automation
-│       ├── braintrust/          # Evaluation and testing tools
-│       └── agentkit/            # AgentKit implementations
-└── README.md                    # This file
+│       ├── agentkit/             # AgentKit implementations
+│       ├── agno/                 # Agno agent framework integration
+│       ├── braintrust/           # Evaluation and testing tools
+│       ├── browser-use/          # Browser Use automation
+│       ├── cartesia/             # Cartesia integration
+│       ├── cloudflare/           # Cloudflare integration
+│       ├── crewai/               # CrewAI framework integration
+│       ├── langchain/            # LangChain framework integration
+│       ├── logs/                 # Logging utilities
+│       ├── mastra/               # Mastra AI agent integration
+│       ├── mongodb/              # MongoDB data extraction & storage
+│       ├── stripe/               # Stripe Issuing + automation
+│       ├── temporal/             # Temporal workflow orchestration
+│       ├── trigger/              # Trigger.dev background jobs & automation
+│       └── vercel/               # Vercel integrations
+└── README.md
 ```
 
-## 🚀 Getting Started
+## Getting Started
 
 1. **Choose your integration** based on your framework or use case
 2. **Navigate to the specific integration directory** for detailed setup instructions
 3. **Follow the README** in each integration for environment setup and examples
 4. **Review the code samples** to understand implementation patterns
 
 Each integration includes:
-- ✅ Complete setup instructions
-- ✅ Environment configuration guides  
-- ✅ Working code examples
-- ✅ Best practices and tips
-- ✅ Troubleshooting guides
+- Complete setup instructions
+- Environment configuration guides
+- Working code examples
+- Best practices and tips
+- Troubleshooting guides
 
-## 🔧 Prerequisites
+## Prerequisites
 
 Most integrations require:
 - A [Browserbase account](https://browserbase.com) and API key
 - Node.js 18+ or Python 3.8+ (depending on implementation)
 - Framework-specific dependencies (detailed in each integration)
 
-## 📖 Documentation
+## Documentation
 
 For comprehensive documentation, tutorials, and API references, visit:
 
-**🔗 [Official Browserbase Documentation](https://docs.browserbase.com)**
+[Official Browserbase Documentation](https://docs.browserbase.com)
 
-## 🤝 Community & Support
+## Community & Support
 
 ### Get Help
-- **📧 Email Support**: [support@browserbase.com](mailto:support@browserbase.com)
-- **📚 Documentation**: [docs.browserbase.com](https://docs.browserbase.com)
+- **Email Support**: [support@browserbase.com](mailto:support@browserbase.com)
+- **Documentation**: [docs.browserbase.com](https://docs.browserbase.com)
 
 ### Contributing
 We welcome contributions! Each integration has its own contribution guidelines. Feel free to:
@@ -124,7 +80,7 @@ We welcome contributions! Each integration has its own contribution guidelines.
 - Share your own integration examples
 - Help improve documentation
 
-## 📄 License
+## License
 
 This project is licensed under the MIT License. See individual integration directories for any additional licensing information.
 

examples/integrations/agentkit/README.md

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+# AgentKit
+
+## Using AgentKit with Browserbase
+
+Develop AI Agents that can browse the web autonomously using Browserbase and AgentKit (by inngest).
+
+## Overview
+
+By the end of this guide, you'll have an AI agent built with AgentKit that can browse the web using Browserbase.
+
+### You'll learn how to:
+
+- Create AgentKit tools that leverage Browserbase's managed headless browsers
+- Build autonomous web browsing agents that can search, extract data, and interact with websites 
+- Use Stagehand, Browserbase's AI-powered browser automation library, to create resilient web agents
+
+### This integration is useful for:
+
+- Building AI agents that can fetch real-time information from the web
+- Creating autonomous browsing capabilities within your agents
+- Developing resilient web scraping and interaction systems
+- Enabling your agents to perform complex web-based tasks
+
+### Integration Approaches
+
+There are two approaches to using Browserbase with AgentKit:
+
+1. **Create custom Browserbase tools**: Ideal for simple actions on webpages with manual browser control
+2. **Use Stagehand library as tools**: Better for autonomous browsing and resilient web scraping
+
+### Prerequisites
+
+Before you start, make sure you have:
+
+- AgentKit installed
+- Browserbase Project ID & API key  
+- (Optional) LLM API key of your choice to use with Stagehand
+
+Next, let's dive into building web browsing agents with AgentKit and Browserbase.