Awesome Opensource Ai

The batteries-included agent harness.

Apache Flink

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

"Vibe-Trading: Your Personal Trading Agent"

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

Prefect is a workflow orchestration framework for building resilient data pipelines in Python.

Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.

A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

AI Agent Framework, the Pydantic way

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

Build reliable customer-facing AI agents with Parlant: an interaction control harness optimized for controlled, consistent, and predictable LLM interactions.

Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.

🧠 Leon is your open-source personal assistant.

Network Analysis in Python

The LLM Evaluation Framework

An orchestration platform for the development, production, and observation of data assets.

NotebookLM for Competitive Intelligence Research. Give your AI agents access to live data from Reddit, YouTube, Instagram, TikTok, Google Maps, Google Search, open web etc. Join our Discord: https://discord.gg/ejRNvftDp9

SciPy library main repository

A hyperparameter optimization framework

Parallel computing with task scheduling

Open3D: A Modern Library for 3D Data Processing

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

structured outputs for llms

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.

NumPy & SciPy for GPU

TensorZero is an open-source LLMOps platform that unifies an LLM gateway, observability, evaluation, optimization, and experimentation.

🐍 Geometric Computer Vision Library for Spatial AI

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.

Multi-Agent Harness for Production AI

Open source annotation tool for machine learning practitioners.

Fast and Accurate ML in 3 Lines of Code

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

Build, Manage and Deploy AI/ML Systems

cuDF - GPU DataFrame Library

Bayesian Modeling and Probabilistic Programming in Python

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

AutoML library for deep learning

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

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

🧙 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!

Apache Beam is a unified programming model for Batch and Streaming data processing.

Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

Build effective agents using Model Context Protocol and simple workflow patterns

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

Flexible and powerful framework for managing multiple AI agents and handling complex conversations