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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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@dianjingtuijian01 · Post #9340 · 04/11/2026, 12:57 PM

CSGO -PGL 布加勒斯特 - 季后赛 #3DMAX 对战 TMZ BO3 2026-4-11 20:56 局2 获胜:TMZ 回合让分: TMZ-3.5(重心) 回合大小: 小于21.5 回合单双: 单

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@HBDJ168 · Post #866 · 07/24/2025, 03:56 PM

CSGO-IEM 科隆 #3DMAX 对战 NIP (BO3) 2025-07-24 23:30 局2 单局获胜: 3DMAX 回合让分: 3DMAX+2.5 回合大小: 大于21.5 (重心) 回合单双: 双

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@HBDJ168 · Post #864 · 07/24/2025, 02:50 PM

CSGO-IEM 科隆 #3DMAX 对战 NIP (BO3) 2025-07-24 23:30 局1 单局获胜: NIP 回合让分: NIP -2.5 (重心) 回合大小: 大于21.5 回合单双: 双

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@HBDJ168 · Post #695 · 07/16/2025, 10:23 AM

CSGO-FISSURE 游乐场 #3DMAX 对战 RA (BO3) 2025-07-16 17:00 局2 单局获胜: 3DMAX 回合让分: RA+4.5 回合大小: 大于21.5 回合单双: 双

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