Starred repositories
智能渗透Agent Manager/Observer/Solver 多角色架构，基于 pi-mono SDK。
Self-evolving agent: grows skill tree from 3.3K-line seed, achieving full system control with 6x less token consumption
CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies
Pre-Built Vulnerable Environments Based on Docker-Compose
🚀Vulfocus 是一个漏洞集成平台，将漏洞环境 docker 镜像，放入即可使用，开箱即用。
A collection of DESIGN.md files inspired by popular brand design systems. Drop one into your project and let coding agents generate a matching UI.
The agent that grows with you
Codex Autoresearch Skill — A self-directed iterative system for Codex that continuously cycles through: modify, verify, retain or discard, and repeat indefinitely. Inspired by Karpathy’s autoresear…
Fast, accurate & comprehensive text measurement & layout
为 Claude Code 打造的企业级 SSH 管理工具，让远程服务器操作像本地一样简单高效
💥 Blazing fast terminal file manager written in Rust, based on async I/O.
"CLI-Anything: Making ALL Software Agent-Native" -- CLI-Hub: https://clianything.cc/
Make Any Website & Tool Your CLI. A universal CLI Hub and AI-native runtime. Transform any website, Electron app, or local binary into a standardized command-line interface. Built for AI Agents to …
Give your AI agent access to your live Chrome session — works out of the box, connects to tabs you already have open
Fully autonomous AI Agents system capable of performing complex penetration testing tasks
IronClaw is an Agent OS focused on privacy, security and extensibility
一个漏洞 PoC 知识库。A knowledge base for vulnerability PoCs(Proof of Concept), with 1k+ vulnerabilities.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
The absolute trainer to light up AI agents.
GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
Golang commandline wrapper for wkhtmltopdf
Convert HTML to PDF using Webkit (QtWebKit)
An End-to-End Infrastructure for Training and Evaluating Various LLM Agents