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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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TMONK Announcements

@tmonkannouncements · Post #15 · 03/25/2024, 10:54 PM

Announcing Partnership the $TMONK • After a while, #TMONK is a good team, They have a strategy for long-term development on #TON • #DashApe Will work and develop with the team, the team's goal is at the lowest level of 5M, there are many more features to be released soon • You can feel free to buy $TMONK now, as they will soon reach 500K this month • Mc 45k is low now, Buy and hold for long term TG : https://t.me/Tg_Monk Chart : https://www.geckoterminal.com/ton/pools/EQDOfAMeJVkC1Q0F1SofSqKf4YLxaj41YumJ4tnER7RTH_GH