Latest Active Updates for AI Open Source Projects in 2025

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.

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.

A lightweight React hook library for connecting to Model Context Protocol (MCP) servers.

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.

A plugin that transforms a WordPress site into a Model Context Protocol (MCP) server, enabling AI agents and large language models to interact with WordPress functionalities via REST API.

Open-source real-time infrastructure monitoring platform providing AI-powered full-stack observability solutions.

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 open-source financial investment research platform providing comprehensive financial data analysis and investment research tools for users worldwide.

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

An advanced diffusion model library for image, video, and audio generation.

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.

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

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

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

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

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.

An open-source Retrieval-Augmented Generation engine based on deep document understanding, providing accurate and reliable question answering capabilities for businesses of all sizes.

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

An open-source framework for building MCP servers and clients in a fast, Pythonic way.

A powerful low-code AI application building platform designed for creating intelligent agents and RAG applications.

An AI-native data application development framework built on AWEL and multi-agent systems for data intelligence applications.

An open-source machine learning framework for everyone

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

An open-source enterprise-level AI knowledge base question answering system based on large language models and RAG technology, supporting workflow orchestration and MCP tool calls.

vllm is a fast and easy-to-use library for fast inference of large language models.

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

LightGBM is a gradient boosting framework that uses tree-based learning algorithms. It is designed to be distributed, efficient, and fast, suitable for ranking, classification, and other machine learning tasks.

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.

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

The Apache Doris MCP Server is a backend service based on Python and FastAPI that supports the Model Context Protocol (MCP) for connecting to the Apache Doris database, enabling Natural Language to SQL (NL2SQL), query execution, and metadata management.

A web scraping and browser automation library built specifically for Python, used to build reliable crawlers, supporting data extraction for AI, LLM, RAG, or GPT applications.

High-performance in-memory data structure server supporting vector search and real-time data structures for AI applications.

A high-performance C/C++ port of the OpenAI Whisper speech recognition model, supporting pure CPU inference and multi-platform deployment.

Ivy is an open-source machine learning code conversion tool that supports converting code between frameworks such as PyTorch, TensorFlow, JAX, and NumPy while maintaining full functionality.

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.

A tool that provides a Model Context Protocol (MCP) service for Ghidra, enabling large language models to perform reverse engineering analysis autonomously.

A cross-platform, customizable machine learning solution for real-time and streaming media processing.

A leading AI creative engine based on Stable Diffusion, providing powerful AI image generation and editing tools for professionals and artists.

A lightweight multi-agent system development framework with support for memory, knowledge, and reasoning capabilities.

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.

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

Colossal-AI: Making large model training easy, efficient, and cost-effective.

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

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

AI-based conceptual hedge fund using a multi-agent system to simulate investment decisions

An open-source, modern AI chat framework that supports multiple AI providers, knowledge base management, multimodal interaction, and more.

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.

LightRAG is a simple and fast Retrieval-Augmented Generation framework that supports multiple query modes and knowledge graph construction.

Streamlit is a Python library that allows you to create beautiful, custom web applications with pure Python code for machine learning, data science, and more.

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