Search results for "vulnerability"
A tool for scanning Python environments for known vulnerabilities
Pytest plugin for measuring coverage.
High-level concurrency and networking framework on top of asyncio or Trio
Droid LLM Hunter is a tool to scan for vulnerabilities in Android applications using Large Language Models (LLMs).
423 plugins, 2,849 skills, 177 agents for Claude Code. Open-source marketplace at tonsofskills.com with the ccpi CLI package manager.
Give any AI agent a full desktop — it sees the screen, clicks, types, and runs apps like a human. Automate anything with a UI: browsers, legacy software, internal tools. No API needed. One Docker comm
SmarterRouter: An intelligent LLM gateway and VRAM-aware router for Ollama, llama.cpp, and OpenAI. Features semantic caching, model profiling, and automatic failover for local AI labs.
AI-first security scanner with 76 analyzers, 9,600+ detection rules, and repo poisoning detection for AI/ML, LLM agents, and MCP servers. Scan any GitHub repo with: medusa scan --git user/repo
AI observability platform for production LLM and agent systems.
Enterprise-ready MCP Gateway & Registry that centralizes AI development tools with secure OAuth authentication, dynamic tool discovery, and unified access for both autonomous AI agents and AI coding a
🛡⚔️AI-Powered Penetration Testing Framework with automated vulnerability scanning, multi-agent system, and compliance reporting🛡⚔️
MCP Server for Computer Use in Windows
Production ready. AI Agent Workflow System for Claude Code
AI-powered bug bounty hunting from your terminal - recon, 20 vuln classes, autonomous hunting, and report generation. All inside Claude Code.
754 structured cybersecurity skills for AI agents · Mapped to 5 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND & NIST AI RMF · agentskills.io standard · Works with Claude Code, GitHub Cop
Observal is an AI agent registry with first in class observabilty and eval framework
Memory library for building stateful agents
A curated list of products, benchmarks, and research papers on autonomous code agents. Beyond coding — they're redefining how software changes the world.
Autonomous Offensive Security Intelligence AI-powered multi-agent penetration testing
Automated security investigation tool using Microsoft MCP Servers, GitHub Copilot, Python Modules and custom copilot-instructions.
Zero-dependency browser automation CLI. 70+ commands, 10 test assertions, smart commands (click/fill by text — no LLM needed). MCP server for AI agents with 500x fewer tokens. Extract, observe, script
LLM-powered Agent Runtime with Dynamic DAG Planning & Concurrent Execution
Claude Code skills, architectural principles, and alternative approaches for AI-assisted development
MCP Server for Simplenote integration with Claude Desktop
Watchtower is a simple AI-powered penetration testing automation CLI tool that leverages LLMs and LangGraph to orchestrate agentic workflows that you can use to test your websites locally. Generate us
Local AI server with persistent memory, RAG, and multi-backend inference (MLX / llama.cpp / Ollama). Runs entirely on your machine — zero data sent to external services.
Claude Code plugin for Ruby, Rails, Grape, PostgreSQL, Redis, and Sidekiq development
A self-improving AI agent that learns from experience. Runs entirely on a local 9B model. Security by absence — dangerous capabilities were never built.
Project CodeGuard is an open-source, model-agnostic security framework that embeds secure-by-default practices into AI coding agent workflows. It provides comprehensive security rules that guide AI as
Autonomous VAPT platform. Give it a target (FQDN, IP, CIDR) — it hunts, it reports. Inspired by the Obsidian Order.
🛠️ Automate penetration testing with SploitGPT, an AI agent using Kali Linux tools for efficient security assessments and minimal user input.
Automatically Update LLM-Agent Papers Daily using Github Actions (Update Every 12th hours)
Autonomous coding agent with web research (Recon), adversarial plan debate, 5-tier cognitive memory, multi-model routing (Gemini + DeepSeek + Ollama), 24/7 loops, and $0 local mode. Apache 2.0.
A Model Context Protocol server that provides task orchestration capabilities for AI assistants
🪈 Intelligent orchestration system that coordinates multiple AI coding assistants (Claude, Codex, Gemini CLI, Copilot CLI) to collaborate on complex software development tasks via REPL or a Vue/Nuxt
🔍 Automate penetration testing with an intelligent agent that organizes security assessments, leveraging local LLMs and Kali Linux for effective exploitation.
Automate red teaming by using AI to plan attacks, run security tools, move laterally, and escalate privileges in network environments.
🔍 Enable AI-driven network security scanning with a production-ready Nmap MCP server supporting diverse tools, scan types, and timing templates.
🦾 A production‑ready research outreach AI agent that plans, discovers, reasons, uses tools, auto‑builds cited briefings, and drafts tailored emails with tool‑chaining, memory, tests, and turnkey Dock
Intelligent Model Context Protocol (MCP) server for AI-assisted API development. Generate mock servers from OpenAPI specs with advanced logging, performance analytics, and server discovery. Optimized