Security testing that runs inside the coding agent you already use. Source-available, not open source.

My Ralph Wiggum setup, an autonomous bash script that runs Claude Code, Codex, OpenCode, Cursor agent, Qwen & Droid in a loop until your PRD is complete.

Computer-Use SDK for E2E QA Testing

A lightweight agent harness you bolt onto your app so an LLM can operate it — safely, and cheaply.

Browser automation MCP server for Claude, powered by Puppeteer.

Model Context Protocol management suite/factory. An MCP that can generate and manage other local MCPs in multiple languages. Uses the official SDKs for code gen.

Real-time architectural sensor that helps AI agents close the feedback loop, enabling recursive self-improvement of code quality. Pure Rust.

Turn any repo into an agent-ready workspace for Claude Code, Codex, Cursor, and other coding agents.

Multi-language agent runtime and library for execution scope management, lifecycle events, and middleware on tool and LLM calls.

Skills for AI coding agents — Laravel, PHP, React, TypeScript, testing, security, and code quality.

Local-first workspace for Claude Code, Codex CLI, and Gemini CLI with sessions, analytics, workflows, and tools

An open-source plugin that runs inside Codex and lets you use Claude Code and Claude models for review, rescue, and tracked background workflows.

Plan-then-build AI coding for Claude Code & Codex CLI — you approve the plan before the model writes a line of code. SPEC → PLAN → TEST → CODE → REVIEW → LEARN

Codex-first Agent Skills library for premium frontend, website, motion, accessibility, QA, and handoff workflows.

LeanCTX — Context Intelligence for AI systems.

A ready-to-fork Claude Code template for academics using LaTeX/Beamer + R. Multi-agent review, quality gates, adversarial QA, and replication protocols.

MCP server for controlling a real iPhone via macOS iPhone Mirroring...and any MacOs app. Screenshot, tap, swipe, type — from any MCP client.

Claude in Chrome, reverse-engineered and open-source. No domain blocklist. Any Chromium browser. Same 18 MCP tools, same performance.

Diagnose and Fix CUDA / GPU environments compatibility issues locally, in Docker, and CI/CD. CLI + MCP server available.

The Model Context Protocol (MCP) is an open-source implementation that bridges Jenkins with AI language models following Anthropic's MCP specification. This project enables secure, contextual AI interactions with Jenkins tools while maintaining data privacy and security.

Goal-based planning and proof gate for AI coding agents

Multi-agent codebase review for PRs, CI, and downstream fork syncs.

Tamper-evident integrity monitor for the MCP config & server files your local AI agents load.

MCP server providing semantic Java code analysis for AI agents. Built on Eclipse JDT with tools for navigation, refactoring, search, and metrics.