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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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Dumbledore's Rambling

@dumbledorerambling · Post #4590 · 02/11/2026, 08:53 PM

哇从来没有从这个角度思考建筑的重要性~当然怎样的社会结构也就会催生出怎样的建筑形式 #read

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Dumbledore's Rambling

@dumbledorerambling · Post #4434 · 10/19/2025, 12:44 PM

大脑的脑补能力既是希望的来源也是痛苦的来源 (btw感觉小时候看这本书完全没看懂啊 #read

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