Android ADB CLI tool including integrated MCP Server with common adb actions used during development

Installable agent skills for browser automation, local knowledge, skill management, external CLI workflows, and session handoffs.

ADR secures enterprise AI agents through observability, security benchmarking, and threat detection. Deployed at Uber.

Agent Skill evaluation harness for paired variants, trace artifacts, and runner adapters

An open-source, code-first Go toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

Multi-Agent Harness for Production AI

Agent Skills for optimizing web quality based on Lighthouse and Core Web Vitals.

MCP server for Android device control via ADB and scrcpy — gives AI agents vision and control over Android devices

Rust MCP server and CLI for serial/UART devices, with JSON macro automation and agent skills for repeatable timed workflows.

MCP server + CLI + Codex/Claude skill for embedded debugging via probe-rs or OpenOCD — ARM Cortex-M, RISC-V, and Xtensa (ESP32), with AI crash diagnosis

GitHub-style CLI for Jenkins — manage contexts, runs, logs, and admin tasks from your terminal.

Open-source adversary emulation for AI agents and MCP servers.

Open source software factory infrastructure for advanced AI coding workflows

Advanced MCP Server ROS 2 bridging AI agents straight into robotics

Launch and manage anti-detect browsers with unique real-device fingerprints for multi-account operations, web scraping, ad verification, and AI agent automation.

An agent skill focused entirely on Swift Testing, helping you write better tests, migrate from XCTest, improve test architecture, and adopt modern Swift testing patterns with confidence.

Add expert Swift Concurrency guidance to your AI coding tool (Agent Skills open format): safe concurrency, performance optimization, and Swift 6 migration.

Paused Codex App auth-split proxy experiment; future work would need a Responses-to-Chat-Completions adapter.

A Model Context Protocol (MCP) server that provides file system context to Large Language Models (LLMs). This server enables LLMs to read, search, and analyze code files with advanced caching and real-time file watching capabilities.

A MCP (Model Context Protocol) server that provides tools for controlling and interacting with Android devices using uiautomator2.

Run Claude Code, Codex & Gemini in parallel on Windows & macOS — git worktree fan-out with atomic hunk adoption, approval gates, reboot-surviving sessions

Practical patterns, starters & CLI tools for loop engineering with AI coding agents. Design systems that prompt and orchestrate agents (inspired by Addy Osmani and Boris Cherny). Includes loop-audit, loop-init, loop-cost.

MCP Toolkit for Flutter AI Agent Driven Development (MCP/CLI + custom client side tools) - via closed feedback loop (visual & semantic snapshot) and high client side customization adaptable for any Flutter app. Nowadays it is often called as agentic harness.

CoCo Super Intelligence is the orchestration layer that turns Claude Code, Cursor, or Codex into an engineering department: a routed advisory board, 185 skills, 280 commands, persistent state. Local. Open-core — MIT core; Super Intelligence is proprietary, own-use.