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TranslatedFay is an agent framework that helps digital humans (2.5D, 3D, mobile, PC, web) or large language models (OpenAI-compatible, DeepSeek) connect to business systems.

Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and DeepSeek Harness support.

🤖 Multi-platform IM AI Agent for Telegram, WhatsApp, Lark, and WeChat. Connects ChatGPT / Claude / Kimi / DeepSeek / Ollama / Pi for auto-replies, community analysis, contact management, and inactive-friend detection.

A high-performance distributed file system designed to address the challenges of AI training and inference workloads.

  • distributed-file-system

A composable, cross-platform MVVM framework for .NET inspired by functional reactive programming. It moves mutable state out of the user interface, keeps each feature's logic in one readable place, and makes applications easier to test. Supports WPF, WinForms, WinUI, .NET MAUI, Avalonia, Uno Platform, Blazor and Android.

TranslatedOpen-source manuscript of 《深入理解 AI Infra:量化分析与系统设计》 (In-Depth Understanding of AI Infra: Quantitative Analysis and System Design), by 李博杰 (Li Bojie): starting from hardware constraints and model architecture, it quantitatively derives the system design of LLM inference and training. Includes the full text of the book, a PDF, and companion calculation tools and experiments

  • accelerator
  • ai-infra
  • ai-infrastructure
  • book

TranslatedDeepSeek Harness (DSH): a little whale girl who lives in the bottom-right corner of the DSH interface and keeps an eye on your DeepSeek account balance for you. Bouncy and springy (QQ弹弹), it supports drag-and-snap, flipping when snapped to the left, and a rolling-number animation. It is enabled automatically with the interface, and it is recommended to just call it over to your dsh installation

TranslatedDSH Desktop Pet: a small transparent animated desktop pet that is ready to use after installing with a single command line, supports running multiple instances, and lets you configure its size and position as you like; it also has a built-in DIY asset pipeline that lets you create your own custom pet from AI video

An implementation of tap targets from the Material Design guidelines for feature discovery.

  • material
  • feature-discovery
  • android
  • material-design

TranslatedBrings the local Wallpaper Engine wallpapers into the DSH web interface: scene wallpapers are rendered in real time with WebGL by the built-in MIT open-source engine WebWallGL (particles / puppet skeletons / SceneScript / audio reactivity / mouse interaction), and if that fails it automatically falls back to an embedded MP4 and the scene's static frame; web wallpapers run in a strict sandbox + the WE API; iOS-style liquid glass UI that is highly customizable, pause when occluded to save power, ffmpeg transcoding with a frame rate cap, system audio spectrum and Now Playing, custom upload and automatic rotation; settings are stored on the host side, with zero token overhead for the agent. Native on all three platforms: Windows / macOS / Linux (the same package, the same command).