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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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Host Testing and evaluation

@HostEvaluate · Post #801 · 07/25/2022, 02:31 AM

#Marbell#CH Host Provider: Marbell Location: Zurich, Switzerland Specification: 2vCore | 2GB RAM | 120GB SSD | 1TB @ 1Gbps | ~$3.90 / Mo Test IP: 185.203.41.129 https://paste.red/p/eb86d0e3ca29 匿名投稿。储存空间挺大的 m247 机房机器。他们家声称保证 100% uptime.

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