Awesome Opensource Ai

Agent S: an open agentic framework that uses computers like a human

Retrieval and Retrieval-augmented LLMs

Trae Agent is an LLM-based agent for general purpose software engineering tasks.

No description.

Low-code framework for building custom LLMs, neural networks, and other AI models

A PyTorch-based Speech Toolkit

The most powerful local music generation model that outperforms almost all commercial alternatives, supporting Mac, AMD, Intel, and CUDA devices.

Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Always know what to expect from your data.

A framework for building realtime voice AI agents 🤖🎙️📹

The ultimate training toolkit for finetuning diffusion models

🐍 Geometric Computer Vision Library for Spatial AI

Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.

Pocket Flow: 100-line LLM framework. Let Agents build Agents!

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

An elegant PyTorch deep reinforcement learning library.

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

Multi-Agent Harness for Production AI

Open source annotation tool for machine learning practitioners.

Official repository for LTX-Video

LMCache: Supercharge Your LLM with the Fastest KV Cache Layer

Fast and Accurate ML in 3 Lines of Code

Hackable and optimized Transformers building blocks, supporting a composable construction.

Python bindings for llama.cpp

Modin: Scale your Pandas workflows by changing a single line of code

AI Observability & Evaluation

Streamlined interface for generating images with AI in Krita. Inpaint and outpaint with optional text prompt, no tweaking required.

Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, Slurm, 20+ clouds, on-prem).

An Open-Source Asynchronous Coding Agent

Build, Manage and Deploy AI/ML Systems

Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, music, and speech generation research and development.

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

A unified framework for machine learning with time series

tiny vision language model

An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)

🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

Bayesian Modeling and Probabilistic Programming in Python

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

A python library for user-friendly forecasting and anomaly detection on time series.

Cybersecurity AI (CAI), the framework for AI Security

Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all through one unified, production-ready inference API.

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

Easily fine-tune, evaluate and deploy Gemma 4, Qwen3.5, Qwen3.6, gpt-oss, DeepSeek-R1, or any open source LLM / VLM!

AutoML library for deep learning

Kimi Code CLI is your next CLI agent.

ModelScope: bring the notion of Model-as-a-Service to life.

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge bases. It can effectively overcome the shortcomings of the traditional RAG vector similarity calculation model.

🧙 Build, run, and manage data pipelines for integrating and transforming data.

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!