Starred repositories
SGLang is a high-performance serving framework for large language models and multimodal models.
A high-throughput and memory-efficient inference and serving engine for LLMs
The official Python library for the OpenAI API
🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
Build resilient language agents as graphs.
Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.
Samples for Azure Synapse Analytics
LangChain4j is an open-source Java library that simplifies the integration of LLMs into Java applications through a unified API, providing access to popular LLMs and vector databases. It makes impl…
Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and…
InstantID: Zero-shot Identity-Preserving Generation in Seconds 🔥
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
Shared data types for building collaborative software
A high performance scripting language hosted on the JVM.
Havenask is a large-scale distributed information search system widely used within Alibaba Group
PDF GPT allows you to chat with the contents of your PDF file by using GPT capabilities. The most effective open source solution to turn your pdf files in a chatbot!
fastHan是基于fastNLP与pytorch实现的中文自然语言处理工具，像spacy一样调用方便。
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
🦜🔗 The platform for reliable agents.
A graph database that supports more than 100+ billion data, high performance and scalability (Include OLTP Engine & REST-API & Backends)
Essential metrics for a healthy site.
A framework helps you quickly build AI Native IDE products. MCP Client, supports Model Context Protocol (MCP) tools via MCP server.
