Popular GitHub Repositories for Runtime Security

Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. ?Docker-friendly.?Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Opiniated RAG for integrating GenAI in your apps ? Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: PGVector, Faiss. Any Files. Anyway you want.

This repository is primarily maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), artificial intelligence security, vulnerability research, exploit development, reverse engineering, and more.

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents

An open-source runtime for composable workflows. Great for AI agents and CI/CD.

This is a collection of tutorials for learning how to use Docker with various tools. Contributions welcome.

Secure open source cloud runtime for AI apps & AI agents

:octocat: Machine Learning for Cyber Security

Silero VAD: pre-trained enterprise-grade Voice Activity Detector

the LLM vulnerability scanner

An adversarial example library for constructing attacks, building defenses, and benchmarking both

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

? Open-Source Evaluation & Testing library for LLM Agents

HexStrike AI MCP Agents is an advanced MCP server that lets AI agents (Claude, GPT, Copilot, etc.) autonomously run 150+ cybersecurity tools for automated pentesting, vulnerability discovery, bug bounty automation, and security research. Seamlessly bridge LLMs with real-world offensive security capabilities.

? Open-Source Evaluation & Testing for AI & LLM systems

Python library for Modzy Machine Learning Operations (MLOps) Platform

a self-hosted solution for running ai-generated code in secure sandboxes

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