autonomous-agents-system

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.

An ultra-fast AI assistant for TypeScript that never freezes, lets you instantly undo any mistake in 1 second, and is dead simple to customize with drag-and-drop

Local-first, provider-neutral AI agent platform in Go — one binary, graph-backed memory (Postgres + ArcadeDb), self-authored skills, MCP tools, and multi-channel access (CLI / Telegram / web).

Self-hosted, governed-autonomy SRE platform: an LLM agent that autonomously remediates infrastructure incidents behind a fail-closed prediction gate, mechanical verdicts, and a tamper-evident ledger. The agent can't act on a belief it hasn't checked.

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

Autonomous AI documentation engine that scans codebases, discovers undocumented features, and auto-updates READMEs with multi-provider LLM failover (Groq, GitHub Models, OpenRouter, Gemini) & real-time telemetry.

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

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

24/7 autopilot for knowledge work on Qwen Cloud — cost-aware 3-tier model routing, budget-capped, crash-safe, fully audited. ~$0.30/day, self-hosted. MIT.

一个会自己写代码、自己进化的桌面AI Agent

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

Self-funded autonomous UAV for disaster reconnaissance — ROS2, Pixhawk/MAVROS, LiDAR obstacle avoidance, YOLOv8 detection (92% human, 80% fire).

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.

Create pixel art in Aseprite using LLMs through an iterative tool-calling loop.