A Python implementation of the VETTING (Verification and Evaluation Tool for Targeting Invalid Narrative Generation) framework for LLM safety and educational applications.

AI-powered penetration testing regulatory intelligence system — LangGraph agents, dual LLM (OpenAI + local MLX), 20+ financial services jurisdictions

Multi-terminal orchestration harness for Claude Code — Generator↔Evaluator loops, Phase Completion Gates, cross-model debate (/tk, /tkc), conflict-free work distribution (/tkm), and blind-evaluator verification (/ralph). v2: enforcement architecture from 31-run analysis.

Aider Configuration Setup This repository contains configuration and scripts to easily launch Aider, with dual LLM coding assistances running simultaneously on dual browsers. Required Files config.yaml This YAML configuration file stores your API keys and settings.

Signed provenance labels and taint-tracking policy for LLM agent security. The core library behind AgentMesh.

Advanced AI Assistant with Dual-LLM Architecture