2025 AI Open Source Project Latest Active Update Ranking

An AI-powered task management system designed for developers collaborating with Claude AI, seamlessly integrating with IDE environments like Cursor and Windsurf.

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.

Gemini CLI is Google's official open-source AI command-line tool that integrates Gemini AI capabilities directly into the terminal.

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

A multi-agent LLM-based Chinese financial trading decision-making framework that utilizes a team of professional analysts to collaborate on stock analysis and investment decisions.

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 machine learning framework for everyone

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.

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

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.

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

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.

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

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

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

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.

Ollama: Run, create, and share large language models locally.

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

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

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.

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.

Meta's open-source multilingual speech recognition system supporting over 1,600 languages

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.

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

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

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

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

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

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

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.

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

Open-source, high-performance web crawler and data extraction tool optimized for LLMs and AI agents.

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

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.

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.

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

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.

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.

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

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.

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

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

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.

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

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

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

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.