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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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@cosplayuploadtest2 · Post #102194 · 03/23/2025, 03:05 AM

Title: Mai_Nanashima_七嶋舞,_PRESTIGE_ヌード写真集_DX_Edition_Set.04 Authors: #None Tags: #None#Mai_Nanashima_七嶋舞#プレステージ出版_PRESTIGE_Digital_Book_Series#Mai#Nanashima#七嶋舞#PRESTIGE#ヌード写真集#DX#Edition#Set #04 recommendation: None TelegraphLinks:page-0-49

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@cosplayuploadtest2 · Post #102147 · 03/23/2025, 03:02 AM

Title: Mai_Nanashima_七嶋舞,_PRESTIGE_ヌード写真集_DX_Edition_Set.03 Authors: #None Tags: #None#Mai_Nanashima_七嶋舞#プレステージ出版_PRESTIGE_Digital_Book_Series#Mai#Nanashima#七嶋舞#PRESTIGE#ヌード写真集#DX#Edition#Set #03 recommendation: None TelegraphLinks:page-0-49