Stars
LLaDA2.0 is the diffusion language model series developed by InclusionAI team, Ant Group.
Programmable datacenter-scale infrastructure for Agents.
A powerful tool for creating datasets for LLM fine-tuning 、RAG and Eval
[Lumina具身智能社区] 具身智能技术指南 Embodied-AI-Guide
GPT-Image-2 PPT Generator Skill for Creating Image-Based PowerPoint Presentations in Codex and Other Skill-Compatible Agents
FuzzBench - Fuzzer benchmarking as a service.
Multimodal RL training framework for diffusion & omni models
专注于绚丽的歌词动画效果的本地音乐/navidrome/第三方网易云播放器
LLM 驱动的多市场股票智能分析系统：多源行情、实时新闻、决策看板与自动推送，支持零成本定时运行。 LLM-powered multi-market stock analysis system with multi-source market data, real-time news, decision dashboard, automated notifications, and cost…
OSWorld 2.0: Benchmarking Computer Use Agents on Long-Horizon Real-World Tasks
Official Repository for "Glyph: Scaling Context Windows via Visual-Text Compression"
Benchmark for proactive personal assistant agents in long-horizon workflows.
ToolCUA: Towards Optimal GUI-Tool Path Orchestration for Computer Use Agents
A benchmark for LLMs on complicated tasks in the terminal
Official Repo of "Flow-OPD: On-Policy Distillation for Flow Matching Models"
[ICLR 2026] On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification.
Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe
👾 Open Computer Use – Open-Source Alternative to Codex Computer Use
分享AI Infra知识&代码练习：PyTorch、vLLM/SGLang、slime/vime框架入门⚡️、性能加速🚀、大模型基础🧠、AI软硬件🔧等
An agent-managed museum exhibit, built in Rust with Gajae-Code / LazyCodex — developed and maintained with no human intervention.
An in-the-wild benchmark for AI agents in the OpenClaw Environment.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
AI agents running research on single-GPU nanochat training automatically
Official Repository of "ρ-𝙴𝙾𝚂: Training-free Bidirectional Variable-Length Control for Masked Diffusion LLMs"