2026 AI Open Source Project Latest Active Update Ranking

YOLOv5 is a state-of-the-art, real-time object detection model based on PyTorch, supporting object detection, image segmentation, and image classification tasks.

An LLM-based intelligent knowledge base platform that provides data processing, RAG retrieval, and AI workflow orchestration capabilities.

An open-source Faircode workflow automation platform with native AI capabilities, combining visual building and custom code, supporting 400+ integrations.

A multi-agent platform based on large language models, providing developer-friendly message exchange mechanisms and distributed deployment capabilities.

A TypeScript-based AI agent framework for quickly building AI applications and features.

GitHub MCP Server is a Model Context Protocol (MCP) server designed to seamlessly integrate with the GitHub API, providing developers and tools with advanced automation and interaction capabilities.

Megatron-LM is a powerful framework for training large language models, focusing on efficient parallelization strategies, designed to support model training with hundreds of billions or even trillions of parameters.

An AI assistant development framework for React applications, quickly build production-grade AI chatbots and intelligent agents

An open-source machine learning framework for everyone

A high-performance, open-source vector database built with Rust, providing fast and scalable vector similarity search for the next generation of AI applications.

An open-source, large-scale vector database and search engine platform that supports real-time inference and AI application building.

PyTorch: Python tensor and dynamic neural network with strong GPU acceleration

Transformers provides thousands of pre-trained models to support tasks in over 100 languages across text, vision, audio, and more.

A powerful node-based GUI for Stable Diffusion workflows with graph interface for visual AI image generation pipelines

A leading data framework for building LLM-powered intelligent agents, specializing in private data augmentation.

Open-source inference serving software that provides optimized cloud and edge inference solutions.

A reinforcement learning library for training large language models, supporting advanced post-training techniques such as SFT, PPO, and DPO.

Cherry Studio is a desktop AI assistant client that supports multiple large language models and is compatible with Windows, Mac, and Linux systems.

An open-source AI orchestration framework for building customizable, production-ready LLM applications, supporting RAG, intelligent Q&A, and semantic search.

JAX is a Python library for high-performance numerical computation and machine learning. It combines the ease of use of NumPy with the power of automatic differentiation and can run on CPUs, GPUs, and TPUs.

Model Context Protocol (MCP) server for Grafana, providing AI agents with the ability to access Grafana instances and their ecosystem, supporting dashboard management, data source querying, alert rule configuration, and more.

An open-source OpenTelemetry Collector distribution with programmable pipelines and built-in Prometheus support

Open-source vector database supporting semantic search, hybrid queries, and AI model integration

An open-source LLM application development platform that integrates agent workflows, RAG pipelines, model management, and more, allowing you to quickly go from prototype to production deployment.

AutoGPT is a powerful AI automation platform that makes it easy for anyone to create, deploy, and manage continuous AI agents to automate complex workflows.

An open-source, AI-native vector embedding database designed for Retrieval Augmented Generation (RAG) solutions for large language model applications.

Scikit-learn: Machine learning library in Python, providing simple and efficient tools for data mining and data analysis.

AI-powered multi-agent builder - An open-source IDE for quickly building, deploying, and managing agent systems

PaddleOCR aims to create a rich, leading, and easy-to-use OCR toolkit to help developers train better, faster, and more accurate OCR models.

llama.cpp is a LLaMA model inference engine written in pure C/C++, designed for high performance and low resource usage.

An open-source drag-and-drop visual AI agent building platform based on LangChain technology, allowing users to quickly create custom LLM applications without programming.

A feature-rich Model Context Protocol (MCP) gateway and registry that provides unified management of tools, resources, and prompts, supports REST API to MCP protocol conversion, and features security and observability.

Production-ready platform with 250+ tool integrations for AI agents and large language models, enabling seamless connectivity through function calling.

An efficient, flexible, and full-featured toolkit for fine-tuning large language models, supporting various models and training algorithms.

The AWS MCP Server is an open-source toolkit that empowers AI code assistants with AWS best practices through the Model Context Protocol (MCP), enhancing cloud development workflows.

An open-source framework providing AI agents with memory capabilities using 5 lines of code.

Open-source personal AI assistant running locally on any OS, connecting to 100+ messaging platforms with autonomous task execution capabilities

An open-source, enterprise-grade AI search and intelligent assistant platform that connects team knowledge bases and provides ChatGPT-like internal knowledge Q&A services.

PaddlePaddle, based on the open-source deep learning platform, integrates deep learning training and inference frameworks, model libraries, tool components, and service platforms. It features leading development convenience, ultra-large-scale training capabilities, multi-end and multi-platform deployment capabilities, and full-stack technology autonomy and controllability.

OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference, supporting deep learning applications such as computer vision, automatic speech recognition, generative AI, and natural language processing.

ONNX Runtime: A cross-platform, high-performance machine learning inference and training accelerator.

XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable. It implements machine learning algorithms under the Gradient Boosting framework.

A powerful Node.js web scraping and browser automation library with JavaScript and TypeScript support, capable of extracting data for AI, LLM, RAG, etc.

Ray is a unified framework for scaling Python and AI applications. It makes it easy to transform single-machine Python code into distributed applications.

Milvus is a high-performance, cloud-native open-source vector database built for large-scale vector similarity search in AI and GenAI applications.

An open-source large language model inference optimization library developed by NVIDIA, providing state-of-the-art performance optimization for GPU inference through TensorRT technology.

An efficient library for similarity search and clustering of dense vectors

An open-source AI agent tool that automates browser workflows using LLM and computer vision technologies.

DeepSpeed is a deep learning optimization library designed to make distributed training easy, efficient, and powerful. It supports large-scale model training and provides various optimization techniques, such as ZeRO optimizer, pipeline parallelism, and tensor parallelism, to improve training speed and reduce memory footprint.

Telegram Search: A powerful Telegram chat history search tool that supports vector search and semantic matching.