Awesome Opensource Ai

Lightning ⚡️ fast forecasting with statistical and econometric models.

On-device AI across mobile, embedded and edge for PyTorch

Minimal CLI coding agent by Mistral

Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

Agenta is a workspace where you and your team build agents and automations.

A compact implementation of SGLang, designed to demystify the complexities of modern LLM serving systems.

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.

Fast inference engine for Transformer models

Reliable Multi-Agent Orchestration Framework

A fast multimodal LLM for real-time voice

A light-weight, flexible, and expressive statistical data testing library

Your agent in your terminal, equipped with local tools: writes code, uses the terminal, browses the web. Make your own persistent autonomous agent on top!

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

A full-stack AI Red Teaming platform securing AI ecosystems via OpenClaw Security Scan, Agent Scan, Skills Scan, MCP scan, AI Infra scan and LLM jailbreak evaluation.

Optimizing inference proxy for LLMs

The Python Risk Identification Tool for generative AI (PyRIT) is an open source framework built to empower security professionals and engineers to proactively identify risks in generative AI systems.

🦛 CHONK docs with Chonkie ✨ — The lightweight ingestion library for fast, efficient and robust RAG pipelines

AdalFlow: The library to build & auto-optimize LLM applications.

An AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified endpoint with centralized discovery, guardrails and management. Optimizes Agent & Tool calling, and supports plugins.

Machine Learning Pipelines for Kubeflow

Official repository for the Boltz biomolecular interaction models

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

Harness LLMs with Multi-Agent Programming

A system for agentic LLM-powered data processing and ETL

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

OpenAgents - AI Agent Networks for Open Collaboration

A minimal Python framework for building custom AI inference servers with full control over logic, batching, and scaling.

Simple RL training for reasoning

A retargetable MLIR-based machine learning compiler and runtime toolkit.

VILA is a family of state-of-the-art vision language models (VLMs) for diverse multimodal AI tasks across the edge, data center, and cloud.

Simple, safe way to store and distribute tensors

Framework for evaluating and improving agents

A flexible, high-performance 3D simulator for Embodied AI research.

Superfast AI decision making and intelligent processing of multi-modal data.

Open-source security automation platform for teams and AI agents

A library for mechanistic interpretability of GPT-style language models

Open-source multimodal retrieval engine (Morphik Core). By Morphik — AI back office for skilled nursing & senior living (morphik.ai).

Quickly and accurately render even the largest data.

Synthetic data generation for tabular data

DeepResearchAgent is a hierarchical multi-agent system designed not only for deep research tasks but also for general-purpose task solving. The framework leverages a top-level planning agent to coordinate multiple specialized lower-level agents, enabling automated task decomposition and efficient execution across diverse and complex domains.

Evaluation and Tracking for LLM Experiments and AI Agents

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

II-Agent: a new open-source framework to build and deploy intelligent agents

A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed.

Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.

Build production-ready AI agents in both Python and Typescript.

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.

The Security Toolkit for LLM Interactions