| Cursor |
AI-powered code editor that provides contextual code generation, intelligent autocomplete, and natural-language editing to accelerate exploit and tool development. |
| Claude |
Anthropic’s advanced AI assistant designed for safe, helpful, and reliable assistance, capable of code analysis, explanation, threat modeling, and documentation. |
| Windsurf |
AI coding assistant offering full-repository understanding, intelligent code completion, AI pair-programming chat, and enterprise-grade security to boost developer productivity. |
| Antigravity |
AI agent specialized in software development workflows, offering intelligent code completion, refactoring suggestions, and automated testing capabilities. |
| Continue.dev |
Open-source AI code assistant supporting multiple LLMs, providing autocomplete, code explanations, and customizable prompts directly within the IDE. |
| HexStrike AI |
Advanced MCP server that enables AI agents (Claude, GPT, Copilot, etc.) to autonomously run over 150 cybersecurity tools for automated pentesting, vulnerability discovery, bug‑bounty automation, and security research, bridging LLMs with real‑world offensive capabilities. |
| Cursor Best Practices |
Repository of best‑practice guidelines and rules for using Cursor to maximize code generation, refactoring, and automated testing efficiency. |
| awesome-cursorrules |
Curated collection of useful Cursor rules for code generation, refactoring, and testing. |
| Shannon |
Fully autonomous AI pentester that discovers real exploits in web applications, achieving a 96.15 % success rate on the hint‑free XBOW benchmark; it automates scanning, vulnerability identification, and exploit generation. |
| Darkmoon |
Open source (GPL-3.0) autonomous AI red team agent covering web, API, Active Directory and Kubernetes, usable as an MCP host for agent driven operations. |
| CS-MCP |
MCP server implementation for Cobalt Strike (based on version 4.12), providing a programmable interface to control Cobalt Strike via the MCP protocol for automation and AI‑agent integration. |
| Malicious Machine Learning Models - Moltroad |
Poisoned pretrained models. Subtle backdoors, gradient attacks, adversarial triggers. Deploy and watch systems compromise themselves. Perfect for supply chain infiltration. |
| raptor |
Raptor turns Claude Code into a general-purpose AI offensive/defensive security agent. By using Claude.md and creating rules, sub-agents, and skills, and orchestrating security tool usage, we configure the agent for adversarial thinking, and perform research or attack/defense operations. |
| ars0n-framework-v2 |
Modular bug bounty framework wrapping 50+ open-source security tools (Amass, Subfinder, Nuclei, Katana, sqlmap…) in Docker containers, enforcing a structured recon methodology with centralized scan data; ships an MCP server exposing 157 tools for AI-assisted recon, triage, and vulnerability scanning. |
| pentagi |
Fully autonomous AI Agents system capable of performing complex penetration testing tasks |
| strix |
Open-source autonomous AI pentesting agents that find and fix vulnerabilities — recon, exploitation, and real PoC validation with multi-agent orchestration; developer-first CLI, auto-fix patches, compliance-ready reports, and CI/CD integration (GitHub Actions). Runs locally with Docker plus your own LLM key, or via Strix Cloud. |
| dreadnode |
Dreadnode is a terminal-native platform for building, evaluating, and deploying offensive security agents. |
| claude-evidence |
AI-powered evidence capture and documentation framework for automated security testing and red team operations tracking. |
| Agentic-Bug-Hunter |
AI-powered bug bounty hunting toolkit covering recon → vulnerability discovery → validation (7-Question Gate) → submission-ready reporting for HackerOne, Bugcrowd, Intigriti, and Immunefi; works as a standalone CLI, Claude Code plugin, or MCP server with 9 specialized agents. |
| Pentest-Swarm-AI |
Open-source, self-hosted autonomous pentester built on a real swarm architecture — dozens of AI agents coordinate via a stigmergic blackboard to recon, classify, exploit, and report; chains attacks (BOLA/IDOR, JWT forgery, SSRF, SQLi, mass assignment) and proves vulnerabilities with captured evidence. Bring your own model (Claude, OpenAI-compatible, Ollama/LM Studio) and the ProjectDiscovery toolchain. |
| BreachWeave |
Multi-agent collaborative pentest architecture with Manager / Solver / Observer roles: the Manager orchestrates, parallel Solvers explore different attack paths, and an Observer supervises and corrects course; layered Idea/Memory state, context compression, and a dedicated pentest branch for authorized engagements (1st place, Tencent Cloud Intelligent Pentest Hackathon). |
| ARTEX |
Autonomous AI pentest orchestration system (Go + Next.js + PostgreSQL) with Planner/Worker agents, dual asset/exploration graphs for long engagements, and human-in-the-loop approval gates; bring your own LLM key (Claude, GPT, DeepSeek). Winner of Baidu’s agent+ challenge; original repo went closed-source — this is the community backup of the last open-source release. |
| CyberStrikeAI |
AI-native security operations platform in Go: Eino-powered agents with Deep/Plan-Execute/Supervisor multi-agent modes, graph workflows, 100+ curated tool recipes via MCP, RAG knowledge base, and governance features (RBAC, audit logs, human-in-the-loop approvals); includes built-in C2 and WebShell management for authorized operations. |
| PentestGPT |
Automated penetration testing agentic framework (USENIX Security 2024) — multi-stage pipeline (recon → exploit → walkthrough for CTF; asset discovery → vulnerability identification → report for pentests) that drives Claude Code or Codex autonomously; preserves the interactive human-in-the-loop legacy mode with a Pentesting Task Tree across many LLM providers. |
| Hermes Agent |
Self-improving general-purpose AI agent by Nous Research with a closed learning loop: creates and refines skills from experience, persistent cross-session memory, scheduled cron automations, subagent delegation, and a messaging gateway (Telegram, Discord, Slack…); works with any model/provider, runs locally or on remote terminal backends (SSH, Docker, Modal, Vercel Sandbox). |
| triad |
Engagement driver that chains two AI layers: Strix scans inside a Docker sandbox (no credentials), then Triad hands each finding into Cairn’s Fact/Intent graph as hints and intents for credentialled workers to exploit toward a stated goal; rules-of-engagement contracts, terminal dashboard (Rust TUI), progress telemetry, and report generation. Works standalone or as a Hermes plugin. |
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