Awesome Opensource Ai

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.

A nearly-live implementation of OpenAI's Whisper.

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.

Official repository for the Boltz biomolecular interaction models

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

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.

Harness LLMs with Multi-Agent Programming

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.

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

OpenAgents - AI Agent Networks for Open Collaboration

A system for agentic LLM-powered data processing and ETL

Simple RL training for reasoning

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.

Generative models for conditional audio generation

The official Python client for the Hugging Face Hub.

Open-source security automation platform for teams and AI agents

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

The best OSS video generation models, created by Genmo

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).

A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)

Quickly and accurately render even the largest data.

Synthetic data generation for tabular data

⚡FlashRAG: A Python Toolkit for Efficient RAG Research (WWW2025 Resource)

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.

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools

Evaluation and Tracking for LLM Experiments and AI Agents

Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

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

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

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.

JAX-based neural network library

Dead simple FLUX LoRA training UI with LOW VRAM support

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.

Scalable and efficient data transformation framework - backwards compatible with dbt.

The Security Toolkit for LLM Interactions

Framework for evaluating and improving agents

Skywork-R1V is an advanced multimodal AI model series developed by Skywork AI, specializing in vision-language reasoning.

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

Visualize and compare datasets, target values and associations, with one line of code.

OneTrainer is a one-stop solution for all your Diffusion training needs.

Fast, Accurate, Lightweight Python library to make State of the Art Embedding

A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).

A framework for prompt tuning using Intent-based Prompt Calibration

RamaLama is an open-source developer tool that simplifies the local serving of AI models from any source and facilitates their use for inference in production, all through the familiar language of containers.

Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/