Stars
WorkForge is a Windows MCP gateway that lets ChatGPT inspect files, resume Git work, make SHA-guarded edits, read images, and run supervised PowerShell jobs.
🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://discord.gg/jP8KfhDhyN
Code for "FlashWorld: High-quality 3D Scene Generation within Seconds" (ICLR 2026 Oral)
Orca is the ADE for working with a fleet of parallel agents. Run any coding agent with your own subscription. Available on desktop, mobile and VPS.
Agent skills for designers and builders using Codex, Claude, Cursor, and other AI coding agents
Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use.
Use Garry Tan's exact Claude Code setup: 23 opinionated tools that serve as CEO, Designer, Eng Manager, Release Manager, Doc Engineer, and QA
AI agent toolkit: unified LLM API, agent loop, TUI, coding agent CLI
TIPSv2 (CVPR'26) and TIPS (ICLR'25)
reimplementation of diffusiondet https://arxiv.org/abs/2211.09788
BitDance & UniWeTok: Open-source autoregressive model with binary visual tokens. A research project for building powerful multimodal autoregressive model.
FAIL: Flow Matching Adversarial Imitation Learning for Image Generation
Official Repository for "Finding NeMO: A Geometry-Aware Representation of Template Views for Few-Shot Perception"
Official implementation of ViT-5: Vision Transformers for The Mid-2020s
PaperBanana: Automating Academic Illustration For AI Scientists
[ICML 2026] Multimodal deep-research MLLM and benchmark. The first long-horizon multimodal deep-research MLLM, extending the number of reasoning turns to dozens and the number of search-engine inte…
[ICLR '26 Oral] Official repository of the paper "AnyUp: Universal Feature Upsampling".
omo/lazycodex: The coding agent for tokenmaxxers;the one and only agent harness for complex codebases. For your Codex, for your OpenCode
TurboDiffusion: 100–200× Acceleration for Video Diffusion Models
PyTorch implementation of JiT https://arxiv.org/abs/2511.13720