PentestCode - Multi-agent AI penetration testing system with persistent engagement state, strategic coordination, and parallel autonomous operations.

Multi-agent research automation framework for LLM agents, with adversarial lab meetings, paper-review rounds, auditable Markdown workflows, an autonomous runtime watchdog, and a pixel-art web dashboard.

🌊 The simple wrapper of leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade architecture, distributed swarm intelligence, RAG integration, and native Claude Code / Codex Integration

Shogun AFM is Agent Fleet Management for self-improving AI agents — combining agent orchestration, persistent memory, fleet monitoring, governance, security posture, and Gensui command control.

A minimal, fully commented Python executive AI agent. For students, teachers and junior devs who want to understand agentic AI from the ground up.

Autonomous multi-agent research pipeline — Search → Scrape → Write → Critique

Experimental autonomous AI agent — memory architecture, IIT Phi consciousness, recursive self-improvement, multi-agent systems.

Build a minimal Python executive AI agent with fully commented code for learning agentic AI from the ground up

🤖 An autonomous AI agent that logs into your LeetCode account and independently solves problems using a custom MCP server.

Autonomous AI navigation agent for Milan 2026 Winter Olympics — real-time crowd monitoring, smart routing & Gemini-powered chat. Built at AI Agent Olympics Hackathon.

CrewFlow is a production-ready multi-agent AI workflow system built using CrewAI and Python. This project demonstrates how multiple AI agents collaborate to solve complex tasks such as research, analysis, and reporting. It showcases agent orchestration, task delegation, and modular AI system design used in real-world enterprise applications.

🤖 Hub for autonomous AI agents, multi-agent orchestration, and memory systems. Showcases self-directed concepts and production-ready implementations using LangChain, CrewAI, AutoGen, and LlamaIndex with advanced tool use, vector databases, and contextual memory.