2025 AI Open Source Project Latest Active Update Ranking

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

A general-purpose LLM-based intelligent agent for software engineering, supporting the execution of complex development tasks with natural language instructions.

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

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

An open-source machine learning framework for everyone

Desktop Commander MCP is an MCP server designed for Claude, giving it terminal control, file system search, and diff file editing capabilities.

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.

Unsloth: Efficient fine-tuning and reinforcement learning tool for large language models - 2x faster training, 70% less memory usage

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.

A lightweight AI agent framework that automates intelligent tasks through Python code execution.

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

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

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

An intelligent web agent system developed by Alibaba Tongyi Lab, comprising three components: WebWalker, WebDancer, and WebSailor, focusing on autonomous information search and web navigation tasks.

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 tool for post-training AI models, supporting various training methods such as fine-tuning, LoRA, and QLoRA.

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

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

A large-scale machine learning model deployment platform based on Kubernetes, used for packaging, deploying, monitoring, and managing thousands of production-grade machine learning models.

Flax is a neural network library designed for high-performance machine learning research, built on JAX.

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

A one-stop AI agent development tool that provides a visual interface to simplify the entire process of agent creation, debugging, and 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 OpenTelemetry Collector distribution with programmable pipelines and built-in Prometheus support

🤗 PEFT is an advanced Parameter-Efficient Fine-Tuning library developed by Hugging Face, enabling low-cost fine-tuning of large models through techniques like LoRA and AdaLoRA.

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.

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

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.

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.

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

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.

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

Implementation of the Model Context Protocol (MCP) server for Apify Actors, enabling AI applications to use any Apify Actor as a tool for tasks like data extraction and web scraping.

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

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

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.

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

A general-purpose LLM-based intelligent agent for software engineering, supporting the execution of complex development tasks with natural language instructions.

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

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 AI agent tool that automates browser workflows using LLM and computer vision technologies.

MCP Database Toolbox is an open-source MCP server designed to simplify database tool development, providing features like connection pooling and authentication.

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

A scalable generative AI framework built for researchers and developers, focusing on large language models, multi-modal AI, and speech AI (automatic speech recognition and text-to-speech)

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

CosyVoice: A multilingual large-scale speech generation model providing full-stack capabilities for inference, training, and deployment.

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

Serena is a powerful coding agent toolkit that transforms large language models (LLMs) into a fully functional agent, working directly on your codebase.

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.