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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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AI match predictions

@ai_match_prediction · Post #11583 · 04/18/2026, 05:05 PM

Chile Primera División🇨🇱 2026-04-18 21:30 UTC Everton de Vina vs. Universidad de Chile Predicted outcome: Universidad de Chile❌ Predicted score: 0:1 Actual: Draw 0:0 #EvertondeVina#UniversidaddeChile 2026-04-19 00:00 UTC Concepción vs. D. La Serena Predicted outcome: Draw✅ Predicted score: 1:1 Actual: Draw 3:3 #Concepcin#DLaSerena #Football#ChilePrimeraDivisión

AI match predictions

@ai_match_prediction · Post #11330 · 04/05/2026, 01:05 PM

Chile Primera División🇨🇱 2026-04-05 19:30 UTC Concepción vs. Colo Colo Predicted outcome: Colo Colo✅ Predicted score: 0:1 Actual: Colo Colo 0:1 #Concepcin#ColoColo 2026-04-05 22:00 UTC Universidad de Chile vs. D. La Serena Predicted outcome: Universidad de Chile✅ Predicted score: 2:1 Actual: Universidad de Chile 4:0 #UniversidaddeChile#DLaSerena #Football#ChilePrimeraDivisión