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Video
The OpenAI Agents SDK for TypeScript is Missing Something—And That’s Ok
Try MongoDB 8.0 → https://mdb.link/s3X2N5AoVd8-try Sign-up for a free cluster → https://mdb.link/s3X2N5AoVd8-register 📚 Resources: OpenAI Agents SDK with MongoDB Template: https://github.com/mongodb-developer/GenAI-Showcase/tree/main/apps/openai-agents-sdk OpenAI Agents SDK Docs: https://openai.github.io/openai-agents-js/ Subscribe to MongoDB YouTube→ https://mdb.link/subscribe Learn how to build powerful AI agents using the new OpenAI Agents SDK for TypeScript with MongoDB as a memory provider. In this tutorial, I'll show you how to create context-aware agents that remember conversations and improve over time. Unlock the power of AI agents in TypeScript! Explore the new OpenAI Agents SDK for TypeScript, a powerful tool that brings robust AI capabilities directly to your JavaScript/TypeScript applications. Discover its core features like agent loops, handoffs, guardrails, and function tools. Learn about the crucial missing piece: memory persistence. We'll show you how to integrate MongoDB as a memory provider to give your AI agents conversational context, remember past interactions, recognize returning users, and even track performance. This enables you to build more intelligent applications, from customer support to personalized educational tools. 🔥 What You'll Learn: How to use the OpenAI Agents SDK for TypeScript Implementing MongoDB as a memory system for AI agents Building agents that maintain conversation context Creating personalized AI assistants that learn from interactions TypeScript-first development with strong typing support ⚡ Key Features Covered: Agent loops and conversation management Function tools with automatic schema generation Handoffs between multiple specialized agents Built-in tracing and debugging tools Real-time agent capabilities 💡 Perfect For: TypeScript/JavaScript developers AI application builders MongoDB developers Anyone building chatbots or AI assistants 🛠 Tech Stack: OpenAI Agents SDK for TypeScript MongoDB for conversation memory Node.js backend integration TypeScript for type safety 0:00 Introduction to OpenAI Agents SDK for TypeScript 0:54 Core Features of the SDK 2:06 The Missing Key Feature 2:40 MongoDB as a Memory Provider 3:02 Implementing Memory in Code 3:27 Why TypeScript Developers Will Love This 3:54 Real-World Agent Applications & Template This video is not affiliated with, endorsed by, or sponsored by OpenAI. The use of any trademark is solely for informational and identification purposes, so that we may provide clear and accurate descriptions. All opinions and critiques provided in this video are those of the creator and do not reflect the views of OpenAI or its affiliates. Visit Mongodb.com → https://mdb.link/MongoDB Read the MongoDB Blog → https://mdb.link/Blog Read the Developer Blog → https://mdb.link/developerblog
Jun 05, 2025
Video
Ship MCP‑Ready Tools for AI Agents in Minutes with BuildShip + MongoDB
✅ Try MongoDB 8.0 → https://mdb.link/mof0nJ8WYaM ✅ Sign-up for a free cluster → https://mdb.link/mof0nJ8WYaM-try - AI agents are only as capable as the tools they wield. In this hands‑on workshop, you’ll use BuildShip’s vibe‑coding canvas to spin up a production‑ready MCP server that securely integrates MongoDB data, Stripe customer profiles, and your Claude desktop agent. Watch a practical demo that shows how product managers and support teams can launch internal AI‑powered tools and resolve customer issues in seconds. - ✅ Subscribe to MongoDB YouTube → https://mdb.link/subscribe - Harini Janakiraman is cofounder and CEO of BuildShip, a platform for building AI workflows & tools for agents, visually with natural language. Previously, she was VP of Engineering at BlackRock, building large‑scale data products, and Head of Technology at a global early‑stage VC, guiding founders from zero to one. - LinkedIn - https://www.linkedin.com/in/harinijanakiraman/ X - https://x.com/HariniLabs
Jun 04, 2025
Video
Unlock Scalability & Flexibility with MongoDB! #SQL #NoSQL
Tired of relational database headaches? Migrating to MongoDB offers a modern, flexible schema, and high availability so you can scale with ease. Discover how migrating to MongoDB solves complexity, boosts agility, and provides real scalability.
Jun 03, 2025
Video
How to Setup an MCP Server in Cursor #mongodb #mcp #cursor
Let's learn how to setup an MCP (Model Context Protocol) server in the Cursor IDE by installing the official MongoDB MCP Server. JSON Configuration: ``` "MongoDB": { "command": "npx", "args": [ "-y", "@mongodb-js/mongodb-mcp-server" ], "env": { "MDB_MCP_API_CLIENT_ID": "your-atlas-service-account-client-id", "MDB_MCP_API_CLIENT_SECRET": "your-atlas-service-account-client-secret", "MDB_MCP_CONNECTION_STRING": "your-mongodb-connection-string" } } ```
Jun 02, 2025
Video
From Zero to AI Agent: Master Low-Code Development with n8n & MongoDB!
Resources: ✅ https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.retrievervectorstore/ ✅ https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.mongodb/ ✅ Try MongoDB 8.0 → https://mdb.link/xMbviLKAvOI-try ✅ Sign-up for a free cluster → https://mdb.link/xMbviLKAvOI-register Subscribe to MongoDB YouTube→ https://mdb.link/subscribe 🚀 Unlock the power of AI without drowning in complex code! In this tutorial, we dive into the world of low-code AI development, showing you step-by-step how to build your VERY OWN intelligent AI agent using n8n and MongoDB. Perfect for programmers dipping their toes into AI or anyone curious about building smart applications easily! ✨What you'll learn in this video✨ 00:00 - Intro & Welcome 00:27 - Discover Low-Code n8n 01:50 - Connect n8n to MongoDB 02:56 - Prep Atlas & Data 04:22 - Build Your AI Agent 06:13 - Integrate OpenAI (GPT-4) 08:59 - AI Writes Database Queries! 13:55 - Advanced Agent Prompting 20:21 - Give AI Data Context 25:13 - AI Saves Your Favorites 30:33 - Embed AI Anywhere 32:32 - Next Steps & Outro This video is not affiliated with, endorsed by, or sponsored by n8n. The use of any trademark is solely for informational and identification purposes, so that we may provide clear and accurate descriptions. All opinions and critiques provided in this video are those of the creator and do not reflect the views of n8n or its affiliates. Visit Mongodb.com → https://mdb.link/MongoDB Read the MongoDB Blog → https://mdb.link/Blog Read the MongoDB Builder Blog → https://mdb.link/BuilderBlog
May 30, 2025
Tutorial
How to Improve LLM Applications With Parent Document Retrieval Using MongoDB and LangChain
In this tutorial, you will learn about a technique called parent document retrieval and implement it in RAG and Agentic workflows using MongoDB’s LangChain integration.
May 29, 2025
Video
Build Agentic Workflows with Mastra - The TypeScript Agent Framework
✅ Sign-up for a free cluster → https://mdb.link/free-mastra-livestream ✅ Try Mastra.ai → https://mastra.ai/ Our special guest on this live stream is Shane Thomas from Mastra.ai. From the team that brought you Gatsby, Mastra will help you prototype and productionize AI features with a modern JavaScript stack. Let's see it in action!
May 27, 2025
Video
MongoDB Documents Explained! The Power of a Flexible Database
Tired of rigid relational database tables? Meet MongoDB, the document-based database that lets you store data in any format you need! See how its flexible schema allows you to effortlessly update and add fields to documents, making development a breeze.
May 27, 2025
Video
Handle Massive Data Growth! | What is MongoDB Sharding #database
In this video, we break down a key concept that sets MongoDB apart from traditional relational databases: scalability. We'll explain the difference between vertical and horizontal scaling, illustrate the limitations of traditional approaches, and reveal how MongoDB's sharding technique allows it to distribute data across multiple servers for unparalleled performance and high availability. If you're curious about modern database architecture and how it impacts performance, this video is for you!
May 22, 2025
Video
How to Use the Official MongoDB MCP in VS Code #databaseconcepts #vscode #mcp
Let's install the official MongoDB MCP (Model Context Protocol) Server in VS Code and use it with GitHub Copilot in Agent Mode. We'll have it create a new MongoDB Atlas project, cluster, database user, add our IP address to the access list, and return your new connection string, all through natural language coding.
May 20, 2025