🍔 麦门运势抽签点餐 Skill——先摇今日运势(大吉到平六级签等+签诗+宜忌),再随机搭配一整套麦当劳套餐;门店/价格/热量全部来自官方 MCP 实时数据。2026 麦当劳程序员创意开发大赛参赛作品 · 使用 WorkBuddy 开发
Contact-UAN: a proprioception-based residual world model for humanoid control
Complete API layer for private AI applications on local models: RAG, skills, tools, MCP, text-to-sql, and more. Works with any OpenAI-compatible inference server.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
🚀 The fast, Pythonic way to build MCP servers and clients.
How Python does AI. Agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end.
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
Build voice agents with open-source models
NVIDIA Isaac GR00T N1.7 - A Foundation Model for Generalist Robots.
Adding guardrails to large language models.
A library of model optimization techniques (quantization, pruning, distillation, NAS, speculative decoding, sparsity) that exports compressed checkpoints for inference frameworks.
Excel MCP server: let AI (Claude, Cursor, Codex) create and edit Excel files with charts, PivotTables, slicers and formulas. No Excel required.
StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing
A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.
A python CAD programming library
Control Gmail, Google Calendar, Docs, Sheets, Slides, Chat, Forms, Tasks, Search & Drive with AI - Comprehensive Google Workspace MCP Server & CLI Tool
Contrastive Language Models (CLMs) are a new class of System One model trained with a contrastive learning objective that connects states and actions.
Cut AI token costs 95%+ on code exploration. The leading MCP server for precise, symbol-level GitHub code retrieval via tree-sitter AST. Works with Claude Code, Cursor & any MCP client. 313B+ tokens saved.
Community recipes for serving LLMs on RTX 3090/4090/5090 CUDA gpus. Multi-engine (vLLM, sglang, llama.cpp and other custom engines) and model-agnostic. Currently shipping Qwen3.8-27B Qwen3.6 35B Gemma 4 26B Gemma 4 31B configs for 1×/2×/4x/8x cards.
AssetOpsBench - Industry 4.0: A unified benchmark and framework for building, orchestrating, and evaluating domain-specific AI agents for Industry 4.0 asset operations and maintenance, with 460+ scenarios, 5 specialist agents (IoT, FMSR, TSFM, Work Order,...), and multi-agent orchestration blueprints (MetaAgent, AgentHive) over MCP.
τ-Bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains
Local typed decisions, contrastive data curation, and model evaluation.
A ComfyUI custom node designed for advanced image background removal and object, face, clothes, and fashion segmentation, utilizing multiple models including RMBG-2.0, VRMBG-3.0, FeyNoBg, Finegrain Box Segmenter, INSPYRENET, BEN, BEN2, BiRefNet, Lucida, SDMatte, SAM, SAM2, SAM3, Florence-2, YOLOv8/YOLO11, Big-Lama, and GroundingDINO.
Your iPhone helps your Mac run a 27B model: faster prompt reading and more context over a USB-C cable
Official repository for "OpenWAM: An Open, Modular Exploration Towards Systematic World–Action Model Pretraining".
Get production-ready images, video, audio, and 3D from any AI agent: skills that pick the right model, price before spending, and keep characters and brands consistent through the Scenario MCP, plus expert teams that drive Blender, Maya, ZBrush, Unreal, and Unity.
Central repository for biomolecular foundation models with shared trainers and pipeline components
Open-source AI teammates in Slack, Teams, Discord, Telegram and Mattermost. Self-host it, with any agent harness and any model.
AI data analyst for transparent, reproducible analysis. Works step by step in Python, verifies the evidence behind its reports, and supports a wide selection of models, including local open-weight models.
Use MCP and OpenAPI to safely control Proxmox VE VMs, LXCs, backups, and snapshots from LLMs and AI agents.
Devnors Data - MCP Server: MCP,Model Context Protocol,Claude,Cursor,WorkBuddy,接口,数据API,裁判文书,Legal Case,法律法规,法条,Law Article,企业工商,Company Registry,企业年报,Annual Report,税号开票,Tax Invoice,失信核查,被执行人,关键词指数,微信指数,WeChat Index,热搜榜,微博热搜,抖音热搜,快递查询,Express Tracking,统一查询,/v1/data/query,API Key,AI Agent,LLM
Composable mathematics tools for agents
Iris-3B: pixel-space generation & general vision learner. A 3B diffusion transformer that generates every pixel directly (no VAE); the same prior, fine-tuned, does monocular depth estimation and 4x image restoration. Paper, weights, training code and demo.
Official Implementation of "DiffusionART: Efficient, Stable and Scalable Reinforcement of Diffusion Models"
🔎 Username, email & phone OSINT — 9,700+ lookup checks from 19 projects, with profile enrichment, bulk searches, evidence graphs and expert-reviewed updates.
Open-source code for training and scaling up energy-based foundation models.
Agentic Language World Models
Trae CN model relay: OpenAI-compatible Chat/Responses API with tool calling, reasoning effort, multi-account polling and checkin
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
The official Python SDK for Model Context Protocol servers and clients
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.8, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM5.3, Gemma4, Llava, Phi4, ...) (AAAI 2025).
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
Enjoy the magic of Diffusion models!
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)
Bayesian Modeling and Probabilistic Programming in Python
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
👀 Train a 65M-parameter VLM from scratch in just 2h!
FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models
Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷
OpenSquilla — Token-Efficient AI Agent with same budget, higher intelligence density
FunASR-powered video transcription, subtitle generation, and LLM-assisted clipping tool with a local Gradio UI.
🚀 Efficient implementations for emerging model architectures
A GPU cluster manager for high-performance AI model serving (vLLM, SGLang) and on-demand SSH-accessible GPU instances.
The Unofficial and Awesome Home Assistant MCP Server
Curated list of the best truly open-source AI projects, models, tools, and infrastructure. Daily updated.
learn LLM inference system on Apple Silicon for systems engineers: build a tiny vLLM + Qwen