#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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#typescript#agent#ai#aiagent#aiimage#aiimagegenerator#aitool#aitools#canva#comfyui#flux#stable_diffusion
Jaaz.app is a free, open-source creative tool like Canva that works locally on your computer, keeping your data private. It lets you create images and videos quickly using AI by simply sketching or describing what you want, without needing to write complex prompts. You can plan scenes on an unlimited canvas, collaborate in real time, and use smart AI agents to add objects or styles. It supports offline use and works on Windows and Mac. This means you get powerful, privacy-focused design and video creation without relying on the internet or risking your data security.
https://github.com/11cafe/jaaz