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Universal AIGP (AI Governance Protocol) client — consent-based runtime AI governance

ATP Protocol is a payment-gated agent execution API that makes agent-to-agent payments and “pay to unlock results” easy on Solana, with a simple client integration (two endpoints + a Solana payment).

AgentSecure SDK — LLM DLP proxy for Python

Polymorphic Prompt Assembler to protect LLM agents from prompt injection and prompt leak

Vercel AI SDK tools for Darkmoon: let an AI agent launch autonomous pentest campaigns, list campaigns and read findings (Darkmoon Pro REST API).

Zero-trust credential manager for AI agents — Python SDK

An AI agent interrogation framework for identifying attack surface.

Catch risky code before your Claude Code agent ships it. Reviews every edit and shell command with full context.

agentguard

Read-only reliability and safety auditor for AI agent repositories

Official Python SDK for Auth Agent - OAuth 2.1 authentication for websites and AI agents. Includes client SDK for Python backends (Flask/FastAPI) and agent SDK for browser automation with browser-use integration.

Reusable Codex workflow kit and project generator for spec-driven agentic development.

SENTINEL — Drop-in LLM Trust & Safety SDK. 19-agent parallel mesh: prompt injection, PII, jailbreak pattern detection, DAN attacks, cost anomaly detection, agentic loop breaking, hallucination, and compliance routing.

Model Context Protocol (MCP) server in Go for ThreatBook TDP (微步在线威胁检测平台): 105 OpenAPI endpoints + 4 diagnostics as typed MCP tools - alert triage, incident forensics, log hunting, threat intel & SOC automation.

A team of AI agents that reviews and improves your code automatically

Sistema de agentes especializados para Next.js + Supabase com validação automática de qualidade, segurança e arquitetura

Real-time quality guardrails for AI coding agents

AgentMesh trust layer for OpenAI Agents SDK — trust-gated function calling and handoff verification

Autonomous LLM agent that investigates Microsoft Defender XDR and Sentinel alerts, with a Training Lab benchmark of 14 known-answer scenarios to score your own agent

Drop Tulip's control runtime (admit() gate + tamper-evident audit) into the agent framework you already use — LangChain, LangGraph, CrewAI, the OpenAI Agents SDK, LlamaIndex.