面向 AI 的现代列式数据格式。
AI 开源项目
精选 GitHub 上值得关注的 AI 开源项目：大模型、智能体、RAG、本地部署、图像与语音……共收录 1040 个。
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全部 1040🧠 大语言模型 25🤖 AI 智能体 160🧩 应用开发平台 23📚 RAG 与知识库 47💬 聊天界面与客户端 42🖥️ 本地推理与部署 85👨💻 AI 编程 95🛠️ 开发框架与 SDK 46🔌 MCP 与工具生态 36🎨 图像生成 25🎬 视频生成 18🎙️ 语音与音频 43👁️ 计算机视觉 27📄 文档解析与抓取 25🗄️ 向量数据库 25🏋️ 训练微调与 MLOps 76🧪 评测·观测·安全 81🚪 API 网关与代理 12🔎 搜索与深度研究 14⚙️ 深度学习基础库 57🏷️ 数据与标注 30🔬 行业与科研 AI 34⚡ 效率工具 14
Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more in
功能丰富的 AI 套件，支持多模型对话、角色与语音。
OpenVLA: An open-source vision-language-action model for robotic manipulation.
Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷
A framework for efficient model inference with omni-modality models
A framework for building agentic apps
大规模向量、文本与结构化数据实时检索引擎。
智谱 AI 开源的 GLM-4 系列对话模型，支持长上下文与工具调用。
Gemma 的轻量级 C++ 推理引擎，便于研究与嵌入。
Build your own network of agents from Claude Code, Codex and Pi: persistent teams with roles, shared context and owned work.
Self-hosted TypeScript agent runtime with durable approvals and verifiable run records. Own it, approve it, audit it.
Optimize prompts, code, and more with AI-powered Reflective Optimization
Fit interpretable models. Explain blackbox machine learning.
多智能体 AI 搜索引擎框架，上海 AI 实验室出品。
Turn your coding agents into research agents
自动化机器学习实验追踪、编排与部署平台。
Neovim 的 AI 编码伙伴，支持多种模型和聊天、行内编辑。
Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.
Superagent protects your AI applications against prompt injections, data leaks, and harmful outputs. Embed safety directly into your app and prove compliance to your customers.
AI2 的完全开放语言模型，连训练数据、代码与日志一并开源。
Open source inference engine for agents that optimizes itself for your exact hardware. Compiles and tunes its kernels on your device, so open models run up to 2x faster than llama.cpp. Works on Apple Silicon, NVIDIA, AMD
LiteRT-LM is Google's production-ready, high-performance, open-source inference framework for deploying Large Language Models on edge devices.
Efficient Triton Kernels for LLM Training