PentestCode - Multi-agent AI penetration testing system with persistent engagement state, strategic coordination, and parallel autonomous operations.
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Updated
Aug 21, 2026 - TypeScript
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.
Experimental autonomous AI agent — memory architecture, IIT Phi consciousness, recursive self-improvement, multi-agent systems.
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
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.
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).
Autonomous multi-agent research pipeline — Search → Scrape → Write → Critique
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.
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.
Local-first AI software engineering team that turns product ideas into tested, reviewed code through multi-agent planning, development, QA, and human approval.
Autonomous AI navigation agent for Milan 2026 Winter Olympics — real-time crowd monitoring, smart routing & Gemini-powered chat. Built at AI Agent Olympics Hackathon.
🤖 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).
Open-source MCP-native runtime for autonomous data analysis, experimentation, validation, and data-change intelligence.
一个会自己写代码、自己进化的桌面AI Agent
Create pixel art in Aseprite using LLMs through an iterative tool-calling loop.
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