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Scale computer-use 2.0 with open-source drivers, cross-OS sandboxes, and benchmarks for training, evaluation, and data generation.

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

🥧 Savoury implementation of the QUIC transport protocol and HTTP/3

Probabilistic language based on pattern matching and constraint propagation, 153 examples

NanoGPT (124M) in 90 seconds

A simple SWE-style browser+desktop agent framework that achieves SOTA results on long-horizon CUA tasks

🤖 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.

Hard Drive S.M.A.R.T Monitoring, Historical Trends & Real World Failure Thresholds

An efficient, small mobile key-value storage framework developed by WeChat. Works on Android, iOS, macOS, Windows, POSIX, and OHOS.

High-speed Large Language Model Serving for Local Deployment

Incredibly fast JavaScript runtime, bundler, test runner, and package manager – all in one

The Free Software Media System - Server Backend & API

Primer is GitHub's design system. This is the CSS implementation

📋 A list of open LLMs available for commercial use.

Native MLX runtime for Laya typed decision models — 7–14 ms short decisions on M3 Max. No text generation, PyTorch, or cloud API.

Jev-like family of decision models built on top of Qwen3.5/3.8 you can train and run on your own