1052 个
ClearML —— 以自动化 CI/CD 简化 AI 工作负载。一站式 MLOps/LLMOps 解决方案，涵盖实验管理、数据管理、pipeline、编排、调度与服务。ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
数分钟内（而非数月）将 AI Agents 部署到 Google Cloud。提供生产就绪模板，内置 CI/CD、评估和可观测性。Ship AI Agents to Google Cloud in minutes, not months. Production-ready templates with built-in CI/CD, evaluation, and observability.
用于构建 agentic apps 的开源框架，支持 JavaScript、Go、Dart 与 Python，由 Google 在生产环境中构建并使用。Open-source framework for building agentic apps in JavaScript, Go, Dart, and Python, built and used in production by Google
面向 Apple Silicon 的端侧语音 AI。On-device Speech AI for Apple Silicon
三语（繁中 / English / 简中）Agentic AI 学习路线图：从 LLM 基础到多 Agent 系统，收录 240+ 精选资源与动手示例。中文 AI agent 學習地圖。A trilingual (繁中 / English / 简中) learning roadmap for agentic AI: from LLM basics to multi-agent systems, with 240+ curated resources and hands-on examples. 中文 AI agent 學習地圖。
Mooncake 是 Moonshot AI 旗下领先 LLM 服务 Kimi 的服务平台。Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.
找到在你的硬件上真正能跑且性能最优的本地 LLM。排名基于真实且时新的基准测试，而非参数量。一条命令，即刻运行。Find the local LLM that actually runs and performs best on your hardware. Ranked by real, recency-aware benchmarks, not parameter count. One command, run it instantly.
教程、指南与 Agent Skill 目录。Tutorials, Guides and Agent Skills Directories
🧊 开源 LLM 可观测性平台，一行代码即可实现监控、评估与实验。YC W23 🍓🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓
面向全模态模型的高效推理框架。A framework for efficient model inference with omni-modality models
为开发者精选的 LLMOps 工具 awesome 列表An awesome & curated list of best LLMOps tools for developers
🐢 面向 LLM Agent 的开源评估与测试库🐢 Open-Source Evaluation & Testing library for LLM Agents
Chronos：面向时间序列预测的预训练模型Chronos: Pretrained Models for Time Series Forecasting
下一代 AI Agent 优化平台：Cozeloop 提供从开发、调试、评估到监控的全生命周期管理能力，解决 AI agent 开发中的挑战。Next-generation AI Agent Optimization Platform: Cozeloop addresses challenges in AI agent development by providing full-lifecycle management capabilities from development, debugging, and evaluation to monitoring.
Gemma 4 26B-A4B 在任意 M 系列 MacBook 上以约 2 GB 内存进行推理。Gemma 4 26B-A4B inference in ~2 GB of RAM on any M-series MacBook
用于构建复杂创新 RAG 流水线的低代码 MCP 框架A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines
用于构建 AI agent 的企业级 AI 开发框架。它提供多 provider LLM 的统一管理、具备高精度检索的安全企业知识库、可视化工作流编排与多 agent 协作。兼容主流 Agent Skill 标准，使开发者能够高效构建生产级 [原文未完整]。An enterprise AI development framework for building AI agents. It provides unified management of multi-provider LLMs, secure enterprise knowledge bases with high-precision retrieval, visual workflow orchestration and multi-agent coordination. Compatible with mainstream Agent Skill standards, it enables developers to efficiently build production-gra
Awesome Pretrained Chinese NLP Models，高质量中文预训练模型&大模型&多模态模型&大语言模型集合
ZenML 🙏：从 Pipeline 到 Agent 的一站式 AI 平台。https://zenml.ioZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
🚀 新兴模型架构的高效实现🚀 Efficient implementations for emerging model architectures
⚡️ 下一代个人 AI 助手，由 LLM、RAG 和 Agent 循环驱动，支持 computer-use、browser-use 和 coding agent，演示地址：https://demo.openagentai.org⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting computer-use, browser-use and coding agent, demo: https://demo.openagentai.org
用于高性能 AI 模型服务（vLLM、SGLang）和按需 SSH 访问 GPU 实例的 GPU 集群管理器。A GPU cluster manager for high-performance AI model serving (vLLM, SGLang) and on-demand SSH-accessible GPU instances.
OpenSquilla——token 高效的 AI Agent，同等预算，更高智能密度OpenSquilla — Token-Efficient AI Agent with same budget, higher intelligence density
5ire 是一款跨平台桌面 AI 助手与 MCP 客户端，兼容主流服务提供商，通过 model context protocol server 支持本地知识库与工具调用。5ire is a cross-platform desktop AI assistant, MCP client. It compatible with major service providers, supports local knowledge base and tools via model context protocol servers .
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
cube studio开源云原生一站式机器学习/深度学习/大模型AI平台，mlops算法链路全流程，算力租赁平台，notebook在线开发，拖拉拽任务流pipeline编排，多机多卡分布式训练，超参搜索，推理服务VGPU虚拟化，边缘计算，标注平台自动化标注，deepseek等大模型sft微调/奖励模型/强化学习训练，vllm/ollama/mindie大模型多机推理，私有知识库，AI模型市场，支持国产cpu/gpu/npu 昇腾生态，支持RDMA，支持pytorch/tf/mxnet/deepspeed/paddle/colossalai/horovod/ray/volcano等分布式
🏝️ 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.
从零开始一步步用 PyTorch 实现一个推理 LLM。Implement a reasoning LLM in PyTorch from scratch, step by step
面向 monorepo 的终极 RAG。借助 AI 与知识图谱的能力，对多语言代码库进行查询、理解与编辑。The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs
一个 2.78 万亿参数的 Kimi K3，在仅 8.24 GB 内存的单颗 CPU 上运行推理。可移植的 C99：无需 BLAS，无需框架，无需 GPU。A 2.78-trillion-parameter Kimi K3 running inference on a single CPU in 8.24 GB of RAM. Portable C99: no BLAS, no framework, no GPU.
精选的 LLM、AI 绘画等领域的教程和资源。Curated tutorials and resources for Large Language Models, AI Painting, and more.
RLHF 精选资源列表（持续更新）。A curated list of reinforcement learning with human feedback resources (continually updated)
高质量且极速的预训练深度学习模型与 demo。Pre-trained Deep Learning models and demos (high quality and extremely fast)