Lists of open-source artificial intelligence software

These lists include projects which release their software under open-source licenses and are related to artificial intelligence projects. These include software libraries, frameworks, platforms, and tools used for machine learning, deep learning, natural language processing, computer vision, reinforcement learning, artificial general intelligence, and more.

• Auto-GPT — experimental open-source autonomous GPT-based agent
• CrewAI – framework for building and orchestrating multi-agent AI workflows
• LangChain – framework for integrating LLMs into applications
• OpenClaw — autonomous task-executing AI agent framework

• llama.cpp — library that can perform inference on various LLMs such as Llama, Mistral, Gemma, DeepSeek or Qwen.¹
• SGLang – framework for structured generation and high-performance LLM inference and serving
• vLLM – high-throughput inference engine for large language models using techniques such as PagedAttention
• Ollama - a software platform that enables easy deployment and interaction with many large language models locally.

• ONNX – Open Neural Network Exchange format for interoperability between AI frameworks
• OpenVINO – Intel's toolkit for optimizing deep learning models for edge devices
• TensorRT-LLM — Nvidia toolkit for optimizing and deploying large language models on GPUs

• EDLUT – event-driven neural network simulator for large-scale spiking networks
• Emergent – cognitive modeling platform implementing neural networks
• Encog – machine learning framework for Java and C# supporting neural networks
• JOONE – Java-based neural network framework with modular architecture for learning tasks
• Nengo – Python library for building and simulating large-scale neural systems
• Neuroph – lightweight Java framework for creating neural networks
• OpenNN – C++ library for designing, training, and deploying neural networks
• SNNS – Stuttgart Neural Network Simulator, supports feedforward and recurrent neural networks

• AlexNet — pioneering CNN for image classification, won the 2012 ImageNet competition²³⁴
• VGGNet — deep CNN known for its simplicity and use of 3x3 convolution filters⁵
• Inception — CNN architecture using parallel convolutional layers of different sizes⁶

• LAION OpenAssistant
• Mycroft

• OpenCog – project that aims to build an open source artificial intelligence framework
• Soar – cognitive architecture for decision-making and learning in intelligent agents
• CLARION – Connectionist Learning with Adaptive Rule Induction On-line, hybrid connectionist/symbolic cognitive architecture.

• AForge.NET – computer vision, artificial intelligence, and robotics library for the .NET framework
• Dlib – C++ library for computer vision and image processing
• OpenCV — library of programming functions mainly for real-time computer vision
• Tesseract – optical character recognition

• BigDL – distributed deep learning library for Apache Spark
• Caffe – deep learning framework focused on speed and modularity
• Deeplearning4j – Java library for deep learning algorithms on the Java virtual machine
• DeepSpeed – deep learning optimization library developed by Microsoft
• fastai – deep learning library built on top of PyTorch
• Fast Artificial Neural Network (FANN) – C library for feedforward neural networks
• Horovod – distributed deep learning framework for TensorFlow, Keras, and PyTorch
• Keras – Python library for artificial neural networks
• Microsoft Cognitive Toolkit – deep learning framework developed by Microsoft Research
• MXNet – deep learning framework for training and deploying deep neural networks
• Neuroph – object-oriented artificial neural network framework written in Java
• OpenNN – artificial neural network library written in C++
• PlaidML – deep learning backend for neural networks and tensor computations
• PyTorch – deep learning framework developed by Meta AI
• PyTorch Lightning – high-level framework built on top of PyTorch for organizing and scaling deep learning models
• TensorFlow – end-to-end open-source platform for machine learning and deep learning developed by Google Brain
• Torch – scientific computing framework with support for machine learning and deep learning algorithms

• Apache Mahout — scalable machine learning library for big data built on Hadoop and Spark
• Apache SINGA — distributed deep learning and machine learning software
• Apache SystemDS — ML system for the end-to-end data science lifecycle
• CatBoost — machine learning library for gradient boosting on decision trees
• Caffe — Image classification and image segmentation
• Dlib — C++ machine learning and computer vision library
• ELKI — data mining and unsupervised learning software
• fastText — Word embeddings developed by Meta AI
• Flux — machine learning library for the Julia programming language
• Gensim — topic modelling and vector space model toolkit
• JAX — machine learning library for numerical computing and automatic differentiation
• H₂O — machine learning and predictive analytics platform
• Infer.NET — probabilistic programming framework for Bayesian inference
• Jubatus — online machine learning and distributed computing framework
• KNIME — modular data pipelining
• LIBSVM — library for support vector machines
• LightGBM — machine learning framework for gradient boosting
• Microsoft Cognitive Toolkit — deep learning framework developed by Microsoft Research
• MindSpore — machine learning and deep learning framework
• ML.NET — machine learning framework for .NET
• mlpack — C++ header-only machine learning library
• MXNet — deep learning framework
• Orange — machine learning, data mining, data visualization, and data analysis
• Scikit-learn — library built on top of NumPy, SciPy, and matplotlib
• Shogun — C++ library for large-scale machine learning
• Spark MLlib — machine learning library for Apache Spark
• TensorFlow — machine learning and deep learning platform
• Theano — numerical computation library for machine learning
• Vowpal Wabbit — machine learning system for fast online learning
• Weka — collection of machine learning algorithms for data mining tasks
• XGBoost — machine learning library for gradient boosting

• TPOT – tree-based pipeline optimization tool using genetic programming
• Neural Network Intelligence – Microsoft toolkit for hyperparameter tuning and neural architecture search
• MindsDB – AutoML platform that embeds machine learning into SQL databases and applications

• Apertus – Swiss National AI Initiative LLM⁷
• BERT – Google LLM
• DeepSeek – R1 and V3 models⁸
• Gemma 4 – Google LLM⁹
• GLM-4.5 and later versions – Z.ai LLMs¹⁰
• GPT-1, GPT-2, and GPT-OSS – OpenAI LLMs¹¹
• GPT-J – EleutherAI LLM
• Grok-1 – xAI LLM
• Kimi (some versions) – Moonshot AI LLMs
• Mistral (some versions)¹²
• OLMo – Allen Institute for AI LLM
• Phi – Microsoft LLMs
• Qwen (some versions) – Alibaba Cloud LLMs¹³
• Sarvam-M, Sarvam-105B and Sarvam-30B – Sarvam AI LLMs
• Step-3.5-Flash – StepFun LLM
• T5 – Google LLM
• XLNet – Google LLM

• Apache OpenNLP
• Apertium – rule-based machine translation platform.
• ChatScript – natural language engine and dialog management system
• General Architecture for Text Engineering – information extraction
• Gensim – topic modeling and document similarity analysis library
• GloVe – unsupervised learning algorithm for obtaining vector representations of words
• Mallet – Java "Machine Learning for Language Toolkit"
• MontyLingua – libraries and programs for symbolic and statistical NLP for both Python and Java
• Moses – statistical machine translation engine to train statistical models of text from a source language to a target language
• NiuTrans – statistical machine translation
• NLTK – natural Language toolkit for symbolic and statistical NLP
• Probabilistic Action Cores – interpreter for natural-language instructions for robotic applications
• spaCy – Python library
• Spark NLP – text processing library for advanced NLP for Python, Java, and Scala.
• Word2vec – obtaining vector representations of words

• CMU Sphinx
• DeepSpeech
• Whisper

• GOLOG – logic programming language, situation calculus, first-order logical language for reasoning about action and change.

• KataGo – reinforcement learning agent designed for playing the game of Go

• ArduPilot
• CoppeliaSim
• Gazebo
• Mobile Robot Programming Toolkit
• OpenRTM-aist
• Paparazzi Project
• Player Project
• Python Robotics
• Robot Operating System
• TurtleBot
• Webots

• Flux
• Stable Diffusion

• Festival Speech Synthesis System
• WaveNet
• eSpeak

• Hugging Face transformers library – Python library of pretrained transformer models for NLP, computer vision, speech, and more.¹⁴

• AlphaTensor – DeepMind reinforcement-learning system for discovering efficient matrix multiplication algorithms