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Curated list of the best truly open-source AI projects, models, tools, and infrastructure. Daily updated.
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The Agentic Framework of the PHP ecosystem to build production-ready AI driven applications. Connect components (LLMs, Tools, vector DBs, memory) to agents that interact with your data and UI.
An implementation of chunked, compressed, N-dimensional arrays for Python.
Toward High-Accuracy Open-Source Biomolecular Structure Prediction.
Developer Asset Hub for NVIDIA Nemotron — A one-stop resource for training recipes, usage cookbooks, datasets, and full end-to-end reference examples to build with Nemotron models
Enforce the output format (JSON Schema, Regex etc) of a language model
Agentic RL Training at Scale
Scalable toolkit for efficient model reinforcement
Manages Unified Access to Generative AI Services built on Envoy Gateway
:robot: MoveIt for ROS 2
Build LLM-powered applications in Ruby
ContextGem: Effortless LLM extraction from documents
Agentic LLM Vulnerability Scanner / AI red teaming kit 🧪
[ICLR & NeurIPS 2025] Repository for Show-o series, One Single Transformer to Unify Multimodal Understanding and Generation.
Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. Tracing · Evals · Simulations · Datasets · Gateway · Guardrails. Self-hostable. Apache 2.0.
[CVPR 2025] Magma: A Foundation Model for Multimodal AI Agents
A Julia machine learning framework
The leading open-source AI copilot for JetBrains. Connect to any model in any environment, and customize your coding experience in any way you like.
A vector indexing library to bring fast, fresh and filtered search to your database
Code Editor for the AI Agents Era. Run multiple Claude Code and Codex agents across projects on your machine.
Fast, Flexible and Portable Structured Generation
Exploratory analysis of Bayesian models with Python
🤖 Autonomous agent framework for Elixir. Built for distributed, autonomous behavior and dynamic workflows.
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.
Dive is an open-source MCP Host Desktop Application that seamlessly integrates with any LLMs supporting function calling capabilities. ✨
Practical course about Large Language Models.
Scalable, fast, and disk-friendly vector search in Postgres, the successor of pgvecto.rs.
Interpretability and explainability of data and machine learning models
Large-scale LLM inference engine
Reference implementations of MLPerf® training benchmarks
JVector: the most advanced embedded vector search engine
MLE-bench is a benchmark for measuring how well AI agents perform at machine learning engineering
Synthetic data curation for post-training and structured data extraction
The good ol' Forge WebUI, now updated with new features~
Lightweight and extensible compatibility layer between dataframe libraries!
OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
Automated Machine Learning on Kubernetes
MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.
Apache Solr open-source search software
Draw datasets from within Python notebooks.
MMaDA - Open-Sourced Multimodal Large Diffusion Language Models (dLLMs with block diffusion, mixed-CoT, unified RL)
An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
Machine learning with dataframes
A fast and lightweight framework for creating decentralized agents with ease.
A lightweight, low-dependency, unified API to use all common reranking and cross-encoder models.
Code repo for "WebArena: A Realistic Web Environment for Building Autonomous Agents"
Reference implementations of MLPerf® inference benchmarks
Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback
Fast Multimodal LLM on Mobile Devices
🛰️ An approximate nearest-neighbor search library for Python and Java with a focus on ease of use, simplicity, and deployability.
A Data Streaming Library for Efficient Neural Network Training