仓库/Skill 库

[CVPR 2026 Oral] VGGT Omega[CVPR 2026 Oral] VGGT Omega

将任意 AI 模型连接至 1200+ 集成（MCP、CLI、API）。Connect any AI model to 1200+ integrations (MCP, CLI, API)

Miso TTS：拥有 80 亿参数、表现力强的文本转语音模型。Miso TTS is an 8 billion, highly emotive text-to-speech model

汇聚每个 Agent 的模型，一站式管理。从菜单栏即可使用 DeepSeek 上的 Codex、Kimi 上的 Claude Code。Every agent's model. One place. Codex on DeepSeek, Claude Code on Kimi, from the menu bar.

用于检索与分析 arXiv 论文的 Model Context Protocol server。A Model Context Protocol server for searching and analyzing arXiv papers

MCP服务器，可将几乎任何内容转换为MarkdownA Model Context Protocol server for converting almost anything to Markdown

SOTA 低比特 LLM 量化（INT8/FP8/MXFP8/INT4/MXFP4/NVFP4）与稀疏化方案；面向 PyTorch、TensorFlow 与 ONNX Runtime 的领先模型压缩技术SOTA low-bit LLM quantization (INT8/FP8/MXFP8/INT4/MXFP4/NVFP4) & sparsity; leading model compression techniques on PyTorch, TensorFlow, and ONNX Runtime

面向终端的开源编码 Agent，由社区集体而非公司构建。自带模型，代码保留在本地，不欠任何人。An open coding agent for your terminal, built by a community collective rather than a company. Bring your own model, keep your code on your machine, and owe nothing to anyone.

全球首个开源的企业级世界模型。World's first open-source enterprise world model.

ToolHive是用于运行和管理MCP服务器的企业级平台ToolHive is an enterprise-grade platform for running and managing Model Context Protocol (MCP) servers.

面向Unity Editor的MCP连接插件，专为Cursor、Claude Code、Codex、Windsurf及其他IDE设计Model Context Protocol (MCP) plugin to connect with Unity Editor — designed for Cursor, Claude Code, Codex, Windsurf and other IDEs

潜入 Shell 的幽灵。Ante 是一个自包含的 Agent 框架，核心高度优化。体验类似 Claude Code 或 Codex，但无其依赖与模型限制。Ghost in your shell. Ante is a self-contained agent harness with a highly optimized core. It works like Claude Code or Codex, with none of their dependencies or model constraints.

开源 LLM/VLM 负载均衡器与服务平台，用于规模化自托管 LLM（和 VLM）🏓🦙 作为 llm-d、Docker Model Runner 等项目的替代方案，组件更少、部署更简单，基于 ggml 生态构建。支持 CPU 和 GPU。Open-source LLM/VLM load balancer and serving platform for self-hosting LLMs (and VLMs) at scale 🏓🦙 Alternative to projects like llm-d, Docker Model Runner, etc but with less moving parts and simple deployments built around ggml ecosystem. Runs on CPU and GPU.

本地类型化决策、对比式数据策展与模型评估。Local typed decisions, contrastive data curation, and model evaluation.

[GenAI 应用开发框架] 🚀 快速轻松构建 GenAI 应用 💬 在代码中使用结构化数据和链式调用语法与 GenAI Agent 交互 🧩 使用事件驱动的 *TriggerFlow* 管理复杂的 GenAI 业务逻辑 🔀 无需重写代码即可切换任意模型[GenAI Application Development Framework] 🚀 Build GenAI application quick and easy 💬 Easy to interact with GenAI agent in code using structure data and chained-calls syntax 🧩 Use Event-Driven Flow *TriggerFlow* to manage complex GenAI working logic 🔀 Switch to any model without rewrite application code

Open Science Desktop — 本地优先、模型无关的 AI 研究工作台，支持 macOS、Windows 与 Linux。基于 Tauri + MCP + agent skills 构建的开源 Claude Science 桌面替代方案。Open Science Desktop — local-first, model-agnostic AI research workbench for macOS, Windows & Linux. Open-source Claude Science desktop alternative built on Tauri + MCP + agent skills.

一个支持与 MySQL 数据库安全交互的 Model Context Protocol (MCP) server。A Model Context Protocol (MCP) server that enables secure interaction with MySQL databases

使用 Model Context Protocol (MCP) 和 REST API 为 TikTok、Instagram Reels 和 YouTube Shorts 创建短视频。Creates short videos for TikTok, Instagram Reels, and YouTube Shorts using the Model Context Protocol (MCP) and a REST API.

一个作为统一工具集成的桌面 MCP client，通过 Model Context Protocol (MCP) 加速 AI 采用，并支持跨厂商 LLM API 编排。A desktop MCP client designed as a tool unitary utility integration, accelerating AI adoption through the Model Context Protocol (MCP) and enabling cross-vendor LLM API orchestration.

AI 音频数据集（AI-ADS）🎵，包含语音、音乐和音效，可为 Generative AI、AIGC、AI 模型训练、智能音频工具开发及音频应用提供训练数据。AI Audio Datasets (AI-ADS) 🎵, including Speech, Music, and Sound Effects, which can provide training data for Generative AI, AIGC, AI model training, intelligent audio tool development, and audio applications.

通过统一的基于 SQL 的框架，为人类和 AI Agent 提供 Cloud、SaaS、API 和 Model Context Protocol (MCP) 资源的查询、配给与运维能力。Query, provision and operate Cloud, SaaS, API and Model Context Protocol (MCP) resources through a unified SQL-based framework for humans and AI agents.

AI 短剧制作的 skill 集合：拆角色、出设定图、排大纲 | Agent skills for AI short-drama production — character bibles, model sheets, adaptation outlines. Runs in Claude Code & codex.

本地优先、agent 原生的 ComfyUI 控制平面 —— MCP server + 侧边栏 agent,可生成图像、视频与音频,撰写并运行工作流,并以自然语言编辑实时图,兼容任意 LLM(Claude、ChatGPT、Gemini、本地 Ollama 或任何托管模型)。提供 178 个工具、36 项 AI skill、55 个安装包。支持本地、局域网、VPS 或 Comfy Cloud 部署。Local-first, agent-native control plane for ComfyUI — MCP server + sidebar agent that generates images, video & audio, authors and runs workflows, and edits your live graph in natural language on ANY LLM (Claude, ChatGPT, Gemini, offline Ollama, or any hosted model). 178 tools, 36 AI skills, 55 installer packs. Local, LAN, VPS, or Comfy Cloud.

论文"LAMBDA: A large Model Based Data Agent"的官方仓库。https://www.polyu.edu.hk/ama/cmfai/lambda.htmlThis is the offical repository of paper "LAMBDA: A large Model Based Data Agent". https://www.polyu.edu.hk/ama/cmfai/lambda.html

Pax 是一个基于 Jax 的机器学习框架，用于训练大规模模型。Pax 支持先进且完全可配置的实验与并行化，并已展现出业界领先的模型 FLOP 利用率。Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimentation and parallelization, and has demonstrated industry leading model flop utilization rates.

基于 Hermes Agent 的自主攻击性安全、漏洞悬赏与红队 Agent 框架，具备专用推理技能与多模型 LLM 编排能力。Autonomous Offensive Security, Bug Bounty & Red Teaming Agent Framework powered by Hermes Agent, specialized reasoning skills, and multi-model LLM orchestration.

x64dbg-MCP Server 是 x64dbg 的原生 MCP（Model Context Protocol）插件，通过 HTTP 暴露调试器全部功能。可连接任意兼容 MCP 的 AI 助手，以编程方式控制 x64dbg：设置断点、单步执行、读取内存、转储寄存器等。基于 Zig 构建——零依赖、单二进制输出，跨平台。x64dbg-MCP Server is a native MCP (Model Context Protocol) plugin for x64dbg that exposes the debugger's full functionality over HTTP. Connect any MCP-compatible AI assistant and control x64dbg programmatically: set breakpoints, step through code, read memory, dump registers, and more. Built with Zig — zero dependencies, single-binary output, cros

[CVPR2024 (Highlight)] RichDreamer：一种可泛化的法线-深度扩散模型，用于生成细节丰富的文本到 3D 内容。Live Demo：https://modelscope.cn/studios/Damo_XR_Lab/3D_AIGC[CVPR2024 (Highlight)] RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3D. Live Demo：https://modelscope.cn/studios/Damo_XR_Lab/3D_AIGC

AI 编码 Agent 的开源控制平面。运行一支 AI 工程团队：并行的 Claude Code、Codex 与 Gemini worker，配备共享看板、原子任务、调度、循环、来源标记消息、模型切换与自愈恢复。一个仪表盘，或一部手机即可掌控。MIT 协议，单个 Rust 二进制。Open-source control plane for AI coding agents. Run an AI engineering team: parallel Claude Code, Codex, and Gemini workers with a shared board, atomic tasks, schedules, loops, origin-stamped messaging, model switching, and self-healing recovery. One dashboard, or your phone. MIT, single Rust binary.

Smithers 是一个 Agent 工作流框架，用于在简单的 TypeScript 配置文件中定义工作流，并快速、持久且可靠地执行它们。Smithers is an agentic workflow framework for defining workflows in simple TypeScript configuration files and executing them quickly, durably, and reliably

为 Hermes agents（同时支持 Claude Code 和 Codex）提供由 Jev 驱动的模型路由、记忆、压缩、Skill 选择、计算机与浏览器使用。Jev-powered model routing, memory, compaction, skill selection, computer and browser use for Hermes agents (also Claude Code and Codex)

"OpenWAM: An Open, Modular Exploration Towards Systematic World–Action Model Pretraining" 的官方仓库。Official repository for "OpenWAM: An Open, Modular Exploration Towards Systematic World–Action Model Pretraining".

一款围绕该模型构建的、面向 Apple silicon 的本地推理引擎。A local inference engine for Apple silicon, built around the model.

基于 2x DGX Spark 与 TensorFold 的 GLM-5.3-Flash EXL3。GLM-5.3-Flash EXL3 on 2x DGX Spark with TensorFold

DeepSeek Harness 审批请求的 second-model AI 自动复核：只读复核子 Agent 返回结构化 allow/deny 判定及理由，默认 fail-closed，会话日志（approval/asked → autoReview/verdict → approval/decided）全程可审计。Second-model AI auto-review for DeepSeek Harness approval requests: a read-only reviewer subagent returns structured allow/deny verdicts with reasons, fail-closed by default, fully auditable from the session log (approval/asked -> autoReview/verdict -> approval/decided).