仓库/Skill 库

原子化构建 AI AgentBuilding AI agents, atomically

AI Agent 治理工具包 —— 提供策略执行、零信任身份、运行沙箱与可靠性工程，覆盖 OWASP Agentic Top 10 全部 10 项。AI Agent Governance Toolkit — Policy enforcement, zero-trust identity, execution sandboxing, and reliability engineering for autonomous AI agents. Covers 10/10 OWASP Agentic Top 10.

Chronos：面向时间序列预测的预训练模型Chronos: Pretrained Models for Time Series Forecasting

LLM 实战指南：从基础到使用 LLMOps 最佳实践将 LLM 和 RAG 应用部署到 AWSThe LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices

面向常驻 Agent 的开源个人云操作系统。Open-Source Personal Cloud OS for Always-On Agents

🏝️ OASIS：基于一百万 Agent 的开放社交交互仿真。🏝️ OASIS: Open Agent Social Interaction Simulations with One Million Agents.

Transformer 模型的高速推理引擎。Fast inference engine for Transformer models

终端中的 Agent，配备本地工具：编写代码、使用终端、浏览网页。在其之上构建你自己的持久化自主 Agent。Your agent in your terminal, equipped with local tools: writes code, uses the terminal, browses the web. Make your own persistent autonomous agent on top!

免费学习如何使用 LLMOps 最佳实践构建端到端生产级 LLM & RAG 系统：源码 + 12 个实操课程。🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴

面向 AI Agent 的开发者控制平面Developer Control Plane for your AI Agents

【三年面试五年模拟】AIGC/LLM/AI Agent算法工程师面试秘籍。涵盖AIGC、LLM大模型、AI Agent、具身智能、传统深度学习、自动驾驶、机器学习、计算机视觉、自然语言处理、强化学习、大数据挖掘、世界模型、元宇宙、AGI等AI行业面试笔试干货经验与核心知识。

为 LLM 优化推理代理Optimizing inference proxy for LLMs

在 Kubernetes 上借助现代加速器实现 SOTA 推理性能。Achieve state of the art inference performance with modern accelerators on Kubernetes

可扩展至上千个微调 LLM 的 Multi-LoRA 推理服务器Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs

作为记忆层的 Agent SkillsAgent Skills as a Memory Layer

⚡FlashRAG：面向高效 RAG 研究的 Python 工具包（WWW2025 Resource）⚡FlashRAG: A Python Toolkit for Efficient RAG Research (WWW2025 Resource)

面向 LLM 实验和 AI Agent 的评估与追踪Evaluation and Tracking for LLM Experiments and AI Agents

ReMe：面向 Agent 的记忆管理工具包——Remember Me, Refine Me.ReMe: Memory Management Kit for Agents - Remember Me, Refine Me.

面向编码 Agent 的通用 Playwright 自动化。General-purpose Playwright automation for coding agents

PyTorch 原生的量化和稀疏化方案，支持训练与推理PyTorch native quantization and sparsity for training and inference

学习使用 LLM、agent、RAG、微调、LLMOps 和 AI 系统技术构建你的 Second Brain AI 助手。Learn to build your Second Brain AI assistant with LLMs, agents, RAG, fine-tuning, LLMOps and AI systems techniques.

缺失的开源 Kubernetes UI，内置 MCP 服务器，面向 AI Agent。可查看故障、原因及变更。Issues、Topology、事件时间线、Helm、GitOps、实时服务流量和集群审计——全部打包在一个 Go 二进制文件中。The missing open-source Kubernetes UI with a built-in MCP server for AI agents. See what's broken, why, and what changed. Issues, Topology, event timeline, Helm, GitOps, live service traffic, and cluster audits - all in one Go binary.

开源推理服务器与生产级集群，支持 Agent 所需的全部模型Open-source inference server and production cluster for all the models your agent needs.

为 vLLM 在 Ascend 上的社区维护硬件插件Community maintained hardware plugin for vLLM on Ascend

构建可自主决策的应用（chatbot、agent、simulation 等）。支持在你的基础设施上进行监控、追踪、持久化与执行。Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.

基于 Rust 的 ONNX 模型快速 ML 推理与训练Fast ML inference & training for ONNX models in Rust

高效的浮点神经网络推理算子，覆盖移动端、服务端和 WebHigh-efficiency floating-point neural network inference operators for mobile, server, and Web

将任意电脑或边缘设备打造为计算机视觉项目的指挥中心Turn any computer or edge device into a command center for your computer vision projects.

Bionic 是 ChatGPT 的本地化部署替代方案，在保持严格数据机密性的同时提供生成式 AI 的能力Bionic is an on-premise replacement for ChatGPT, offering the advantages of Generative AI while maintaining strict data confidentiality

🏕️ 为开发者和 Agent 提供可复现的开发环境🏕️ Reproducible development environment for humans and agents

厂商无关的训练、推理与 Agent 负载编排，覆盖 NVIDIA、AMD、TPU 和 Tenstorrent，部署在云端、Kubernetes 和裸金属环境上Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.

统一管理 MCP Server 的应用（MCP Manager）。A Unified MCP Server Management App (MCP Manager).

WFGY 正迈向 WFGY 5.0 Polaris Protocol，面向 AI reasoning、RAG、agents 与真实工作流的重要开源版本，包含 Problem Map、Global Debug Card、WFGY 4.0 与 CFV Easter EggWFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.

超快速 serverless GPU 推理、沙箱和后台任务Ultrafast serverless GPU inference, sandboxes, and background jobs

高性能 AI 模型推理引擎A high-performance inference engine for AI models

构建 Agent 的更高标准Standards for building agents, better