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Source channel @githubtrending · Post #14693 · May 10

#jupyter_notebook#a2a#agentic_ai#dapr#dapr_pub_sub#dapr_service_invocation#dapr_sidecar#dapr_workflow#docker#kafka#kubernetes#langmem#mcp#openai#openai_agents_sdk#openai_api#postgresql_database#rabbitmq#rancher_desktop#redis#serverless_containers The Dapr Agentic Cloud Ascent (DACA) design pattern helps you build powerful, scalable AI systems that can handle millions of AI agents working together without crashing. It uses Dapr technology with Kubernetes to efficiently manage many AI agents as lightweight virtual actors, ensuring fast response, reliability, and easy scaling. You can start small using free or low-cost cloud tools and grow to planet-scale systems. The OpenAI Agents SDK is recommended for beginners because it is simple, flexible, and gives you good control to develop AI agents quickly. This approach saves costs, avoids vendor lock-in, and supports resilient, event-driven AI workflows, making it ideal for developers aiming to create advanced, cloud-native AI applications[1][2][3][4]. https://github.com/panaversity/learn-agentic-ai

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Amazing Geography 🌍

@amazingeo · Post #20 · 08/10/2025, 10:43 AM

🌍 The geographic coordinates system splits the globe into lines called latitude and longitude, allowing any spot on Earth to be pinpointed within a few meters using just two numbers. ✨ #coordinates⚡#mapping⚡#positioning⚡#geography⚡#nature⚡#earth 👉subscribe Amazing Geography🌍

Digital Marketing & AI Tools

@Digital_Marketing_strategies · Post #760 · 09/10/2025, 11:12 AM

The secret to massive Google ads scale isn't a unique product or a crazy offer. Rather, it's the ability to disrupt a market And be different form the rest This could be done with product titles, images, pricing, the product itself, or the messaging. Just pick one and do the complete opposite of your competitor's It's that simple. #GoogleAds #positioning