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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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@JianjiaoPD · Post #10895 · 05/07/2026, 03:34 PM

✈️ TgtoDrive (TTD) | 115 / 123 资源转存后整理成网盘影视库,可自动改名、归档、出 STRM 🏷 检索标签:#TgtoDrive#TTD#115网盘#123云盘#STRM#Emby ⭐️ 详情介绍:TgtoDrive (TTD) 是原 Tgto123项目,给 115 / 123 网盘影视库玩家用的,主打资源转存后的整理。资源进盘后,它会用 TMDB 识别片名,做分类、重命名和洗版,可少掉一堆手工改文件名的活 找资源这边能接 Telegram 频道、榜单、Pansou、RevoHD、影巢这些来源,符合规则就转存到目标目录。白名单、黑名单、二次分类能管一部分乱入资源,但规则要自己慢慢调 整理完还能生成 115 / 123 STRM,支持全量和增量,字幕、NFO、封面也能同步;Emby 这边可以走反代,把播放请求改成 302 网盘直链,本地机器可以少扛流量 📞部署教程 · 📖GitHub 😌频道 |🙂群聊 |😋中文包 |☺️搜索