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Source channel @githubtrending · Post #14854 · Jun 23

#vue#courses_management_system#education#frappe#javascript#learning#learning_management_system#lms#online_course_platform#online_learning#open_source#python Frappe Learning is an easy-to-use, open-source Learning Management System that helps you create and organize courses with a clear structure of courses, chapters, and lessons. It supports live Zoom classes, quizzes, assignments, and certificates to track and reward learner progress. You can host it yourself or use managed hosting for easy setup and maintenance. Its drag-and-drop course builder and pre-built lessons simplify course creation, while features like notifications and discussion sections enhance interaction. This system helps you share knowledge effectively, monitor learner progress, and provide a smooth, engaging learning experience without complicated setups or high costs. https://github.com/frappe/lms

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@githubtrending · Post #14693 · 05/10/2025, 12:00 PM

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#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