#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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🚀#4-USDT - 154% profit
✅✅Net Profit = 264% Profit
👇🏻Signals Summary
➕Total Signals Sent out - 02
✔️Profitable Signals - 02
✖️Total Signals Lost - 00
◼️Trade cancelled without being executed - 00
✅✅Net Profit - 264% Profit
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