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Curated list of the best truly open-source AI projects, models, tools, and infrastructure. Daily updated.
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A query and indexing engine for Redis, providing secondary indexing, full-text search, vector similarity search and aggregations.
The 100 line AI agent that solves GitHub issues or helps you in your command line. Radically simple, no huge configs, no giant monorepo—but scores >74% on SWE-bench verified!
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
🐬DeepChat - A smart assistant that connects powerful AI to your personal world
an ambient intelligence library
A scikit-learn compatible neural network library that wraps PyTorch
🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓
Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.
FlashInfer: Kernel Library for LLM Serving
LiteRT-LM is Google's production-ready, high-performance, open-source inference framework for deploying Large Language Models on edge devices.
A system for quickly generating training data with weak supervision
Optimize prompts, code, and more with AI-powered Reflective Optimization
A simple SWE style browser agent framework that achieves SOTA results on long horizon web tasks.
A model-driven approach to building AI agents in just a few lines of code.
Open-source scientific and technical publishing system built on Pandoc.
An automated document analyzer for Paperless-ngx using OpenAI API, Ollama, Deepseek-r1, Azure and all OpenAI API compatible Services to automatically analyze and tag your documents.
A treasure chest for visual classification and recognition powered by PaddlePaddle
Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and CamelAI
PyTorch native post-training library
Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
Local-first session search, analytics, insights, and token use statistics for coding agents, supporting Claude Code, Codex, and more than 20 other agents.
Democratizing Reinforcement Learning for LLMs
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
🐢 Open-Source Evaluation & Testing library for LLM Agents
⚡ Pure-Rust WebGPU inference engine — OpenAI-API compatible, GGUF native, runs on any GPU. No Python. No llama.cpp. Single binary.
HelixDB is an OLTP graph-vector database built in Rust on Object Storage.
Model interpretability and understanding for PyTorch
A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines
Chronos: Pretrained Models for Time Series Forecasting
Robust recipes to align language models with human and AI preferences
Gemma open-weight LLM library, from Google DeepMind
⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting computer-use, browser-use and coding agent, demo: https://demo.openagentai.org
A PyTorch native platform for training generative AI models
AI Agent Governance Toolkit — Policy enforcement, zero-trust identity, execution sandboxing, and reliability engineering for autonomous AI agents. Covers 10/10 OWASP Agentic Top 10.
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
SWE-bench: Can Language Models Resolve Real-world Github Issues?
A GPU cluster manager for high-performance AI model serving (vLLM, SGLang) and on-demand SSH-accessible GPU instances.
Supercharge Your Model Training
CUDA accelerated rasterization of gaussian splatting
lakeFS - Data version control for your data lake | Git for data
The CLI and skills that turn any coding assistant into an expert at creating, evaluating, and deploying AI agents on Google Cloud.
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
Header-only C++/python library for fast approximate nearest neighbors
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2026 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
Astronomy and astrophysics core library
Reliable model swapping for any local OpenAI/Anthropic compatible server - llama.cpp, vllm, etc
cuML - RAPIDS Machine Learning Library
Simple and Distributed Machine Learning
Probabilistic time series modeling in Python
Visualizer for pandas data structures