2025 AI Open Source Project Latest Active Update Ranking

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

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

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

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

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

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

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.

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 open-source machine learning framework for everyone

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

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

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

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

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.

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

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

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

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.

Unified LLM API gateway, supporting OpenAI format calls for 100+ large language model providers

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 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.

Open-source ChatGPT alternative that runs 100% offline on your computer as an AI assistant

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

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.

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

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

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

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.

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.

An MCP server based on AntV for chart generation, supporting 25+ visualization chart types.

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

A lightweight multi-agent workflow building framework that supports inter-agent collaboration, tool invocation, and process orchestration.

An open-source generative AI documentation assistant tool that helps users obtain reliable answers from knowledge bases, avoid hallucination issues, supports private deployment, and reliable information retrieval.

An easy-to-use and fast deep learning and large language model deployment toolkit that supports cloud, mobile, and edge deployment. It includes 20+ mainstream scenarios and 150+ SOTA models for image, video, text, and audio, with end-to-end optimization, multi-platform, and multi-framework support.

A no-code AI data processing tool to build, enrich, and transform datasets using AI models.

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.

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

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

The world's first full-stack open-source general AI agent capable of autonomous thinking and systematic planning, automating the entire process from requirement planning to result delivery.

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

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

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

A powerful framework for building, running, and evaluating autonomous agents based on open-source models, supporting automatic configuration generation, multi-modal tool integration, and in-depth research capabilities.

Graphlit's Model Context Protocol (MCP) server, supporting content ingestion from various data sources such as Slack, Discord, websites, Google Drive, and providing AI-powered search and retrieval capabilities.

An open-source, self-hosted personal AI note-taking tool focused on privacy, built with TypeScript

A one-stop AI agent development tool that provides a visual interface to simplify the entire process of agent creation, debugging, and deployment.