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What EVERYONE is Missing with AI Agents - Memory + Tools that Scale

8.0K views· 353 likes· 2:39· Jul 30, 2025

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- Get started with Arcade.dev to build AI agents that can actually DO things: https://arcade.dev.plug.dev/cBZAr2D - Here is the GitHub repo for the Arcade + LangGraph agent built in the long form video: https://github.com/coleam00/arcade-ai-agent ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Most AI agents are demos that work for one user - you. But what happens when you need to scale to thousands or millions of users, and the agent needs personalized memory and tools for every user? You can’t build personalized AI agents that scale by connecting it to a single Gmail/Asana/Slack account, a single RAG knowledge base, etc. Your agent needs authorization to access user accounts and store memories for individual users. In this video, I'll show you how to build production-ready personalized AI agents that scale using LangGraph and Arcade.dev - the platform that solves the authentication and scaling nightmare that breaks every other approach. This is what MCP wish it had - with Arcade, we can build agents that dynamically request user account access with OAuth on-demand and then cache the credentials going forward for a super smooth user experience. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Artificial Intelligence is no doubt the future of not just software development but the whole world. And I'm on a mission to master it - focusing first on mastering AI Agents. Join me as I push the limits of what is possible with AI. I'll be uploading videos weekly - at least every Wednesday at 7:00 PM CDT!

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