Sandbox, Security & Governance tools for Local / Ollama

Multi-agent offensive-security meta-harness (July 2026) that turns the coding agent you already run — Claude Code, Codex, OpenCode, or a fully offline Ollama/vLLM model — into an autonomous kill-chain hunter (recon → exploit → report) across web apps, CTFs, smart contracts, and source code. The key harness insight is keyless composition: your existing agent is the brain, and the harness bolts coor

AI jailbreaks: 35 paste-ready AI jailbreak prompts for 25+ frontier and open-weight models - system prompts, AGENTS.md specs, and Ollama Modelfiles. Built for AI security research and red-team testing.

This project is a multi-agent security framework that utilizes multiple LLM models to analyze and generate comprehensive security briefs

On-premises PII and sensitive-data detection and masking for LLM and RAG workflows, combining regex, NER, and optional local LLMs with reversible masking