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Source channel @githubtrending · Post #15401 · Jan 8

#python#agent#agentic_ai#agentic_framework#agentic_workflow#ai#ai_agents#ai_companion#ai_roleplay#benchmark#framework#llm#mcp#memory#open_source#python#sandbox MemU lets AI systems take in conversations, documents, and media, turn them into structured memories, and store them in a clear three-layer file system. It offers both fast embedding search and deeper LLM-based retrieval, works with many data types, and supports cloud or self-hosted setups with simple APIs. This helps you build AI agents that truly remember past interactions, retrieve the right context when needed, and improve over time, making your applications more accurate, personal, and efficient. https://github.com/NevaMind-AI/memU

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djangoproject

@djangoproject · Post #598 · 04/24/2018, 02:56 AM

https://github.com/Djeact/Djeact-RoadMap What is Djeact? The name of Djeact comes from the combination of Django and React. Django is a python web framework and React is a javascript library for building user interfaces. Djeact is a set of libraries which the backend is written by django and the UI is written with react. Following libraries have been written so far: Why #Djeact started? Why #Django was chosen for #backend? Why #React was chosen for #frontend? Why #MIT#License?