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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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Alain Soral Officiel

@AlainSoral · Post #1228 · 04/15/2026, 05:28 PM

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Alain Soral Officiel

@AlainSoral · Post #1241 · 05/04/2026, 04:58 PM

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Alain Soral Officiel

@alainsoral · Post #1174 · 03/10/2026, 07:10 AM

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Arthur Sapaudia

@arthursapaudia · Post #3744 · 03/09/2026, 05:07 PM

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E&R Rhône-Alpes

@ergrenoble · Post #209 · 03/17/2026, 11:59 AM

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