Meta 的生成式 AI 应用标准化接口与参考实现。
🛠️ Frameworks & SDKs
LangChain, LlamaIndex, DSPy and other frameworks for building LLM apps
All 1040🧠 Large Language Models 24🤖 AI Agents 159🧩 App Development Platforms 23📚 RAG & Knowledge Bases 47💬 Chat UIs & Clients 41🖥️ Local Inference & Deployment 87👨💻 AI Coding 97🛠️ Frameworks & SDKs 46🔌 MCP & Tool Ecosystem 36🎨 Image Generation 26🎬 Video Generation 17🎙️ Speech & Audio 45👁️ Computer Vision 26📄 Document Parsing & Scraping 25🗄️ Vector Databases 25🏋️ Training, Fine-Tuning & MLOps 71🧪 Evaluation, Observability & Safety 79🚪 API Gateways & Proxies 12🔎 Search & Deep Research 16⚙️ Deep Learning Libraries 57🏷️ Data & Annotation 32🔬 Industry & Science AI 33⚡ Productivity Tools 16
Automated Machine Learning with scikit-learn
Flower: A Friendly Federated AI Framework
Open-source framework for building agentic apps in JavaScript, Go, Dart, and Python, built and used in production by Google
Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research
The Ruby AI framework.
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-p
Fully customizable AI chatbot component for your website
Cortex - Generates interactive API documentation, typed SDKs, and MCP servers from OpenAPI, AsyncAPI, GraphQL, gRPC, OpenRPC, and Markdown.
A python library for decision tree visualization and model interpretation.
Multi-framework streaming Markdown renderers for AI apps: Vue/Nuxt, React/Next.js, Svelte, and Angular, with Mermaid, KaTeX, stream-diffs code blocks, safe HTML, and low-jitter updates.
An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety
Modular Python framework for building AI workflows with memory and tools.
An open-source framework for machine learning and other computations on decentralized data.
Extract structured data and insights from documents using LLMs and decision models
Build LLM-powered applications in Ruby
A neurosymbolic perspective on LLMs
The React library for LLMs
An autoML framework & toolkit for machine learning on graphs.
A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine
Automated modeling and machine learning framework FEDOT
Open framework for confidential AI