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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 #610 · 02/25/2020, 12:32 PM

来自群友 @ilemonrain 的投稿 HostProvider: Netfront(HongKong) Specification: 4 vCore | 4096M RAM | 128G SAN HDD Network: 1T @ 96Mbps Looking glass: 202.81.237.1 Price: 80HKD/Month #HK#Netfront#HKIX Proxmox虚拟化架构,实际virt-what检测结果为 hyperv+qemu https://paste.ubuntu.com/p/Vb8JWjxYfs/