HexStrike AI MCP Agents v6.0 is a powerful AI-driven cybersecurity automation framework designed for penetration testers, bug bounty hunters, ethical hackers, security researchers, red teams, and CTF players. The platform combines autonomous AI agents with 150+ professional security tools to automate reconnaissance, vulnerability assessment, exploit analysis, cloud security auditing, reverse engineering, and web application testing. Built on the MCP ecosystem, HexStrike AI integrates directly with modern AI clients such as Cursor, Claude Desktop, Roo Code, VS Code Copilot, and other MCP-compatible environments. The system intelligently selects tools, optimizes attack workflows, correlates vulnerabilities, and adapts testing strategies in real time using AI-powered decision engines. HexStrike AI significantly reduces manual effort in penetration testing by automating repetitive security tasks while maintaining flexibility for advanced researchers and professional security teams. Key Features AI-powered penetration testing automation 150+ integrated cybersecurity and reconnaissance tools 12+ autonomous AI agents for security workflows Intelligent tool selection and parameter optimization Automated vulnerability discovery and attack-chain analysis AI exploit generation and vulnerability correlation Real-time dashboards and monitoring systems Browser automation with Selenium and headless Chrome Web application security testing framework API security assessment for REST, GraphQL, and JWT Cloud security auditing for AWS, Azure, and GCP Container and Kubernetes security testing Binary analysis and reverse engineering toolkit OSINT automation and intelligence gathering Smart caching and process management system Fault-tolerant architecture with graceful recovery Compatible with modern MCP AI ecosystems Advanced Security Modules Web Application Security HexStrike AI includes advanced web security tooling for: SQL Injection Testing XSS Detection Directory Enumeration API Fuzzing JWT Security Testing WAF Fingerprinting Parameter Discovery SSL/TLS Analysis WordPress Security Auditing Automated Browser-Based Testing Integrated tools include: Nuclei, SQLMap, FFuf, Gobuster, Dirsearch, Dalfox, Wafw00f, Nikto, Katana, HTTPx, WPScan, and more. Network Reconnaissance & Infrastructure Testing Features include: High-speed port scanning Service enumeration DNS reconnaissance SMB enumeration Active and passive asset discovery Automated network mapping Integrated tools include: Nmap, Rustscan, Masscan, Amass, Subfinder, AutoRecon, Fierce, DNSenum, Enum4linux-ng, NetExec, and others. Cloud & Container Security Supports advanced security auditing for: AWS Azure Google Cloud Kubernetes Docker Infrastructure-as-Code environments Integrated tools include: Prowler, Scout Suite, Trivy, Kube-Hunter, Kube-Bench, Docker Bench Security, Checkov, Terrascan, and Falco. Reverse Engineering & Binary Analysis HexStrike AI provides professional-grade reverse engineering support with: Static analysis Dynamic analysis Exploit development Memory forensics Firmware extraction ROP gadget analysis Integrated tools include: Ghidra, Radare2, GDB, Pwntools, Angr, Binwalk, Volatility, Ropper, and One-Gadget. AI Agents Included The framework contains specialized AI agents for: Bug bounty automation Vulnerability intelligence CTF solving Exploit generation Workflow orchestration Technology detection Attack chain correlation Failure recovery Performance optimization Adaptive security analysis These agents collaborate dynamically to automate complex security operations and improve testing efficiency. Use Cases HexStrike AI is suitable for: Authorized penetration testing Bug bounty hunting Security research Red team operations CTF competitions Vulnerability assessment API security testing Cloud security auditing Reverse engineering workflows Security automation pipelines AI-assisted cybersecurity operations Installation & Setup Quick Installation git clone https://github.com/0x4m4/hexstrike-ai.git cd hexstrike-ai python3 -m venv hexstrike-env source hexstrike-env/bin/activate pip3 install -r requirements.txt Start the MCP Server python3 hexstrike_server.py Debug Mode python3 hexstrike_server.py --debug Health Check curl http://localhost:8888/health Supported AI Clients HexStrike AI works with: Cursor Claude Desktop VS Code Copilot Roo Code 5ire MCP-compatible AI agents Performance Benefits Compared to traditional manual workflows, HexStrike AI can: Accelerate reconnaissance workflows Reduce vulnerability scanning time Improve attack coverage Automate repetitive security operations Increase efficiency for bug bounty and red team engagements Generate reports and intelligence faster using AI automation Why HexStrike AI? Most traditional security frameworks only automate individual tools. HexStrike AI introduces autonomous AI-driven workflow orchestration where intelligent agents analyze targets, select optimal tools, adapt attack strategies, and coordinate multi-stage assessments automatically. This makes HexStrike AI more than a penetration testing toolkit — it becomes a complete AI cybersecurity automation platform designed for modern offensive security operations.

The ultimate desktop manager for AI coding tools like Claude Code, Codex, Gemini CLI, OpenCode, OpenClaw, and Hermes Agent. CC Switch gives developers a clean and powerful way to manage multiple AI coding providers, MCP servers, prompts, skills, sessions, and proxy configurations — all from one modern desktop app. No more editing JSON, TOML, or ".env" files manually. Built with React, Rust, Tauri 2, SQLite, and TypeScript, CC Switch is designed for developers, vibe coders, AI power users, and engineering teams who constantly switch between Claude, OpenAI Codex, Gemini, OpenClaw, and custom API providers. Key Features: Manage Claude Code, Codex, Gemini CLI, OpenCode & OpenClaw from one app 50+ built-in AI provider presets Unified MCP server management with bidirectional sync System tray quick switching Local proxy mode with failover & hot switching Prompt management with Markdown sync Skills installer from GitHub & ZIP files Session history manager across AI tools Cloud sync support (Dropbox, OneDrive, iCloud, WebDAV) Usage dashboard with token & cost tracking Cross-platform support for Windows, macOS & Linux Atomic config writes & automatic backups Dark mode, multilingual UI, deep link support & plugin sync Built For: AI Developers Vibe Coders Claude Code Users OpenAI Codex Users Gemini CLI Users AI Agent Builders MCP Power Users Full Stack Developers DevOps Engineers Productivity Enthusiasts Tech Stack: React 18 TypeScript Tauri 2 Rust SQLite TailwindCSS TanStack Query shadcn/ui Vitest ·MSW Why Developers Love CC Switch CC Switch solves one of the biggest problems in modern AI coding workflows: switching providers and managing multiple AI CLI tools without breaking configs. Instead of manually editing configuration files every time you change providers, CC Switch lets you switch instantly with a visual UI, built-in presets, proxy failover, and unified management for MCP servers, prompts, skills, and sessions. Perfect for developers using Claude Code, Gemini CLI, Codex, OpenClaw, and AI agent workflows daily. Included Features: ✔ Provider Switching ✔ MCP Management ✔ Prompt Sync ✔ Skills Installer ✔ Proxy & Failover ✔ Usage Tracking ✔ Session Restore ✔ Workspace Editor ✔ Cloud Backup & Sync ✔ Universal Provider Configs ✔ Deep Link Import ✔ Multi-Platform Support

CodeNomad is a next-generation AI coding workspace built for developers who spend hours inside AI-assisted coding sessions and need speed, organization, and full control over their workflow. Instead of using OpenCode only from the terminal, CodeNomad gives you a complete desktop cockpit experience with multi-session management, remote access, voice interaction, file browsing, SideCars, and developer productivity tools — all inside one modern interface. Perfect for: AI developers OpenCode users Remote developers Indie hackers Full-stack engineers Productivity-focused programmers Terminal power users AI coding workflow enthusiasts Core Features Multi-instance AI coding workspace Premium desktop interface for OpenCode Remote browser-based access Session management system Voice input & speech features Git worktree integration Rich chat & message experience SideCars support for local tools File system browser Command palette Notifications system Secure authentication Custom themes Internationalization support Desktop & Server Support CodeNomad works both as: Desktop application (Electron & Tauri) Local development server Remote browser-accessible workspace Supports: Windows macOS Linux ARM64 & x64 architectures SideCars Support Open your favorite local development tools directly inside CodeNomad tabs: VSCode / OpenVSCode Server Terminal with ttyd Local dashboards Internal developer tools AI utilities Developer Stack Built using modern technologies: SolidJS Electron Tauri Node.js Monorepo architecture OpenCode integration Why Developers Love CodeNomad Turns OpenCode into a premium desktop experience Better organization for long AI coding sessions Ideal for remote development workflows Faster context switching Built specifically for AI-assisted programming Powerful workspace management Clean and modern UI Productivity-focused developer tooling Best Use Cases AI coding workflows OpenCode power users Remote coding environments Multi-project AI development AI pair programming Full-stack development Coding productivity setup Developer workstation enhancement If OpenCode is the engine, CodeNomad is the full cockpit built for serious developers.

Stop wasting time searching for the best free AI coding model. Free Coding Models CLI helps developers instantly find the fastest and most reliable free AI models for coding, debugging, code generation, automation, and developer workflows. This powerful open-source CLI tracks 170+ free or free-limited coding models across trusted AI providers in real time and automatically connects them to your favorite AI coding tools. Perfect for: Developers AI engineers Indie hackers Open-source contributors Startup builders AI coding enthusiasts Key Features 170+ free AI coding models Real-time latency & stability tracking Smart AI model recommendation system Local OpenAI-compatible AI router Automatic failover between models CLI dashboard with live monitoring One-click integration with coding tools OpenCode Zen support Multi-provider AI support Fast terminal UI experience JSON API output for automation Smart filtering by tier, provider, and tool Supported AI Providers NVIDIA NIM Groq Cerebras Google AI Studio OpenRouter GitHub Models Cloudflare Workers AI SambaNova Mistral Alibaba DashScope Gemini CLI OpenCode Zen And more Compatible Tools OpenCode OpenClaw Goose Aider Continue Cline Qwen Code OpenHands Gemini CLI Copilot CLI Hermes Amp Xcode Intelligence Rovo Dev CLI Why Developers Love It No credit card required for many providers Quickly compare AI coding models Works directly from terminal Great for AI coding workflows Perfect for self-hosted AI setups Saves time choosing models manually Built for productivity and speed Best Use Cases AI coding assistant setup Free ChatGPT alternatives for coding AI-powered development workflow Code generation and debugging Terminal-based AI productivity Multi-model AI routing Developer automation Open-source AI tooling If you want the easiest way to use free AI coding models inside your favorite coding tools, this package is a game changer.

Description Tired of Apple locking premium AirPods features to only iPhone and Mac users? LibrePods breaks that barrier and gives Android and Linux users access to the real AirPods experience. LibrePods is a powerful open-source companion app that unlocks advanced AirPods controls and premium features on non-Apple devices. From Noise Cancellation and Adaptive Transparency to Ear Detection, Battery Monitoring, Hearing Aid settings, Head Gestures, and Multi-Device Connectivity — everything works in one clean and developer-friendly solution. Whether you're an Android power user, Linux enthusiast, developer, reverse engineering learner, or someone who simply wants full control over their AirPods, LibrePods delivers a next-level wireless audio experience without being trapped inside Apple’s ecosystem. Key Features Switch between Noise Cancellation, Transparency, and Adaptive modes Real-time AirPods battery monitoring Automatic ear detection and smart audio switching Head gesture support for calls and controls Hearing Aid and Accessibility customization Transparency Mode tuning and sound amplification Multi-device connectivity support Customize long-press actions and AirPods settings Works with Android and Linux environments Open-source and community-driven project Best For Android users using AirPods Pro or AirPods Max Linux desktop users wanting native AirPods support Developers learning Bluetooth communication and reverse engineering Open-source enthusiasts Users wanting Apple-like AirPods controls outside the Apple ecosystem Power users who love customization and advanced audio controls Use Cases Use AirPods Pro features on Android phones Manage AirPods settings directly from Linux Create custom workflows for audio switching Improve accessibility and hearing configurations Monitor battery and connection status in real time

Stop wasting time maintaining outdated AI context files manually. Caliber is an advanced AI developer toolkit that automatically generates, scores, refreshes, and synchronizes AI coding configuration files like CLAUDE.md , .cursor/rules , AGENTS.md , copilot-instructions.md , MCP configs, and reusable AI skills across your entire codebase. Built for modern developers using Claude Code, Cursor, Codex, OpenCode, and GitHub Copilot, Caliber keeps your AI assistant aligned with your real project structure, dependencies, architecture, and coding conventions as your code evolves. Unlike static hand-written AI instructions that become outdated after every refactor, Caliber continuously audits your repository and updates AI configuration files automatically with deterministic scoring and smart refresh hooks. Key Features: Auto generate CLAUDE.md , AGENTS.md , Cursor Rules, and Copilot Instructions Works with Claude Code, Cursor, Codex, OpenCode, and GitHub Copilot Deterministic AI config scoring system with project accuracy checks Auto-refresh AI docs on every commit using Git hooks MCP server auto-discovery and configuration Session learning system for smarter AI coding workflows AI skill generation using OpenSkills format Backup and undo system before every modification Cross-platform support including Windows, macOS, and Linux Monorepo compatible Supports TypeScript, Python, Go, Rust, Java, Ruby, Terraform, and more Local-first workflow with privacy-focused architecture Perfect for: AI coding workflows Cursor IDE users Claude Code developers OpenAI Codex users GitHub Copilot teams Startup engineering teams Full-stack developers Monorepo management AI agent automation Developer productivity optimization Why developers love Caliber: Eliminates stale AI instructions Keeps AI coding assistants context-aware Improves AI-generated code accuracy Reduces hallucinated file paths and architecture mistakes Streamlines onboarding for engineering teams Makes AI-assisted development scalable Installation: npx @rely-ai/caliber bootstrap Requirements: Node.js 20+ Git repository Any supported AI coding assistant Best Use Cases: AI-assisted software development Automated AI documentation generation AI context synchronization Multi-agent coding environments Team AI workflow standardization Intelligent codebase configuration management This project is ideal for developers building serious AI-powered engineering workflows and looking to maximize productivity with modern coding agents.

CAI (Cybersecurity AI) is an advanced AI-powered cybersecurity framework built for penetration testing, ethical hacking, and security automation . It allows developers and security professionals to create intelligent agents that can perform vulnerability scanning, exploit testing, and red team operations using modern LLMs. Designed for both offensive and defensive security, CAI supports AI-driven pentesting workflows, bug bounty automation, and digital security analysis , making it a powerful tool for scaling cybersecurity operations. With its modular architecture and support for OpenAI, local LLMs, and automation pipelines , CAI is ideal for building next-generation AI security tools and autonomous hacking systems . Key Features AI Security Agents Build autonomous agents for pentesting & security automation Perform offensive (attack) & defensive (detection) operations Supports multi-step reasoning workflows Cybersecurity Automation Automate bug bounty, vulnerability scanning, exploit testing Reduce manual effort in security assessments Scale testing across systems LLM Integration Works with OpenAI, local models (Ollama), and other APIs Enables intelligent decision-making using AI Modular Framework Plug-and-play architecture Add custom tools, scripts, and workflows Highly extensible for research & enterprise use Offensive + Defensive Security Red teaming (attacks, exploits) Blue teaming (monitoring, detection) Full security lifecycle support Installation git clone https://github.com/aliasrobotics/cai.git cd cai # install dependencies pip install -r requirements.txt 👉 You’ll also need API keys (like OpenAI / local LLM setup via Ollama) Usage Run CAI cai Configure Environment export OPENAI_API_KEY=your_key_here Run with Local Model (Example) export OLLAMA_API_BASE=http://localhost:11434 Best For Ethical Hackers & Penetration Testers Red Team / Blue Team Professionals Bug Bounty Hunters Cybersecurity Researchers CTF Players AI + Security Developers

StegoForge is a powerful AI-powered steganography tool designed for hiding, extracting, and detecting secret data inside images, audio, and video files. Built for modern cybersecurity, ethical hacking, and digital forensics workflows , it combines advanced data hiding techniques with AES-256 encryption and machine learning-based steganalysis . This toolkit supports multiple formats and methods including LSB steganography, frequency-domain encoding, and automated forensic analysis , making it a complete solution for both offensive and defensive security use cases . Whether you're working on CTF challenges, malware analysis, secure communication systems, or forensic investigations , StegoForge delivers a scalable and developer-friendly solution. Key Features Advanced Steganography Hide secret data in images, audio, and video files Supports LSB (Least Significant Bit) & advanced encoding techniques Multi-format support for real-world use AI-Based Detection Detect hidden data using machine learning steganalysis Identify anomalies in suspicious media files Perfect for digital forensics & threat detection Military-Grade Encryption Integrated AES-256 encryption Secure data before embedding Ensures privacy and protection Developer Friendly Built with Python (modular architecture) Easy integration into custom tools & pipelines Extendable for research and experimentation Digital Forensics Toolkit Analyze and scan files for hidden payloads Extract encoded data efficiently Automate forensic workflows 🛠️ Installation git clone https://github.com/Nour833/StegoForge.git cd StegoForge pip install -r requirements.txt Usage Embed Secret Data python main.py embed -i input.png -o output.png -d "secret message" Extract Hidden Data python main.py extract -i output.png Analyze Suspicious Files python main.py analyze -i suspicious.pn Best For Cybersecurity Professionals Ethical Hackers & Penetration Testers Digital Forensics Experts CTF Players & Security Learners Developers building security tools

Why are you still managing API keys… when you already have Claude logged in? OpenCode Claude Auth is a self-contained authentication plugin that lets you use Claude inside OpenCode using your existing Claude Code credentials — no API keys, no manual setup, no extra login. It works by directly reading your authenticated Claude session and automatically handling everything behind the scenes. You don’t configure anything. You don’t manage tokens. You just run OpenCode — and Claude works. What Makes This Different Most AI tools require: API keys Billing setup Environment variables Manual configuration This does none of that. It simply reuses your existing Claude Code login and plugs it into OpenCode automatically. How It Works (Simplified) Reads your Claude credentials from: macOS Keychain or ~/.claude/.credentials.json (Linux/Windows) Injects authentication into Anthropic API requests Automatically refreshes tokens when needed Syncs credentials in the background Falls back safely if anything fails Everything runs silently in the background. Installation & Setup (Actual Plug & Play) Step 1: Add Plugin Open your OpenCode config: ~/.config/opencode/opencode.json Add this: { "plugin": ["opencode-claude-auth"] } Step 2: Run OpenCode opencode Step 3: Done Claude is automatically connected No API key needed No login required That’s it. Literally plug and play. Prerequisites Claude Code installed and logged in ( claude run at least once) OpenCode installed Best For Developers using OpenCode CLI Claude Pro / Max users Terminal-first workflows Indie hackers and builders Developers who hate setup friction Real Power Features Zero-config authentication Automatic token refresh (no usage cost) Multi-account support (macOS) Background credential sync Works across macOS, Linux, Windows Supports multiple Claude models Advanced Capability (Hidden Gem) Enables 1M token context (if your plan supports it) Smart retry system for API failures Debug logging for deep troubleshooting Full OAuth lifecycle handled internally Why This Matters This isn’t just a plugin. It removes one of the biggest bottlenecks in AI dev workflows: authentication friction Less setup = faster builds = more shipping. What You Get Seamless Claude integration inside OpenCode Zero API key dependency Fully automated auth system Clean developer experience

Stop wasting hours writing boilerplate code. Let AI handle the boring stuff while you focus on building real products. What is OpenCode? OpenCode is a next-generation AI coding agent that runs directly in your terminal and integrates with your workflow. It helps you generate, debug, and automate code using top AI models like OpenAI, Claude, Gemini, and even local LLMs. Unlike typical AI tools, OpenCode gives you full control, flexibility, and zero vendor lock-in . Why Developers Love OpenCode Works directly in your terminal (no heavy UI needed) Supports multiple AI providers (OpenAI, Claude, Gemini, Ollama) Automates coding, debugging, and workflows Open-source and fully customizable Perfect for fast prototyping and real-world projects Key Features AI code generation from natural language Smart debugging and refactoring Multi-language support (JS, Python, TS, etc.) CLI-based workflow for speed and control GitHub integration for automation Local model support for privacy Installation & Setup (Beginner Friendly) 1. Install OpenCode curl -fsSL https://opencode.ai/install | bash or npm install -g opencode-ai 2. Start OpenCode opencode 3. Connect AI Provider Inside the CLI: /connect Choose your provider (OpenAI, Claude, Gemini, etc.) 4. Start Using opencode run "build a full-stack app with authentication" Best For Developers who want faster coding workflows Indie hackers and startup builders SaaS and MVP development Automation and scripting Developers who prefer terminal tools Real Use Cases Generate full APIs in seconds Fix bugs instantly Automate repetitive coding tasks Build MVPs faster Manage GitHub workflows with AI Why This Beats Other Tools Feature OpenCode Others Open Source Yes Mostly No Multi-Model Support Yes Limited Terminal-Based Yes No Customization High Low Vendor Lock-in None High What You Get Full OpenCode setup guide Ready-to-use AI coding workflow Multi-model integration support GitHub automation capability

Hermes Agent is a powerful open-source autonomous AI agent built by Nous Research that doesn’t just respond — it learns, remembers, and evolves over time . Unlike typical AI tools, Hermes runs locally on your system/server and builds its own skills from experience using a built-in learning loop , making it smarter the more you use it. It acts like your personal AI teammate — capable of automation, multi-platform communication, and advanced reasoning. Key Features 🧠 Self-Learning AI Agent – Automatically creates & improves skills from experience 💾 Persistent Memory – Remembers past conversations and tasks 🔄 Continuous Improvement Loop – Gets smarter over time (not static AI) 🌐 Multi-Platform Support – Works with CLI, Telegram, Discord, Slack, WhatsApp 🧩 Model Agnostic – Works with OpenAI, OpenRouter, Nous, or custom models 🤖 Autonomous Task Execution – Can plan and execute tasks independently ⚡ Fast Local Setup – Runs locally with full control & privacy 🔍 Advanced Tooling – Web browsing, file search, automation & more Installation (Simple Setup) Quick Install (Recommended) curl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash After Installation source ~/.bashrc # or ~/.zshrc hermes setup # Configure API keys hermes # Start using the agent Requirements Git installed Works on Linux / macOS / WSL2 (Windows) Other packges install automatically (Python, Node, ffmpeg etc.) How It Works Hermes Agent runs as a persistent AI system on your machine that: Learns from tasks Stores knowledge Creates reusable skills Improves performance over time Basically → ChatGPT + AutoGPT + Memory + Evolution = Hermes Agent Use Cases AI automation workflows Developer productivity assistant Personal AI assistant with memory Multi-platform chatbot Research & task execution agent Startup AI backend systems

OmniRoute is a powerful AI gateway that lets you connect and manage multiple AI models (LLMs) through a single OpenAI-compatible API endpoint. Instead of integrating different AI providers separately, OmniRoute acts as a smart proxy that routes your requests across multiple providers automatically. It is designed for developers who use AI tools like coding assistants, chatbots, or automation systems and want a reliable, cost-efficient, and scalable way to handle multiple AI APIs without complexity. With built-in smart routing, load balancing, retry mechanisms, and multi-level fallback, OmniRoute ensures your application never stops working—even if a provider fails or limits are reached. This tool is especially useful for developers using AI-powered IDEs or CLI tools like Claude Code, Codex, Gemini CLI, Cursor, and more, allowing them to connect all models through a single unified endpoint. Key Features OpenAI-compatible API (drop-in replacement) Smart routing between multiple AI providers Automatic fallback (subscription → API → cheap → free) Load balancing & retry system Multi-provider support (30+ AI services) Cost optimization using free & low-cost models Works with AI coding tools, CLI tools & apps Built-in dashboard for managing providers Supports chat, embeddings, images, audio & more Installation & Setup (Clean + Real Flow) Start using OmniRoute in just a few steps: 1. Install Globally npm install -g omniroute 2. Start the Server omniroute 👉 This will automatically open a dashboard in your browser (Default: http://localhost:20128 ) 3. Connect AI Providers Open Dashboard Go to Providers section Login / add API keys (Claude, Gemini, etc.) 4. Use in Your App or Tool Set your API endpoint like this: http://localhost:20128/v1 Now use it exactly like OpenAI API — no code changes needed 🔥 5. (Optional) Run from Source cp .env.example .env npm install npm run dev Why This Tool is Powerful No more API switching headache Never hit limits → automatic fallback Save money using free/cheap models One endpoint = unlimited AI models Perfect for AI SaaS, dev tools & automation Best For AI SaaS builders Developers using multiple LLM APIs AI coding tools & agents Chatbot & automation apps Startups building AI products