Laravel Loop is a powerful Model Context Protocol (MCP) server designed specifically for Laravel applications. It connects your Laravel application with AI assistants using the MCP protocol.

Use cultivar to test your Agent Skills, run them in sandboxes, and across different agents.

The one and only agent harness for complex codebases. Project memory, planning, execution, and verified completion inside Codex.

The full-stack TypeScript framework to build, test, and deploy production-ready MCP servers and AI-native apps.

Containment for AI agents - user isolation, sandboxed execution, network controls, backup/rollback. TLA+ verified.

An atelier for your Agent: spec-driven workflows, deep thinking, and code quality.

The definitive guide & configuration system for GitHub Copilot CLI — agents, skills, rules, multi-AI orchestration, and more

🏄🏼‍♂️ The blackboard for coding agents - agentic development environment for claude code, codex, cursor, opencode, grok and more.

Zero-config React with built-in SSR, automated quality gates, and AI-ready project structure - ship clean code whether you write it yourself or with an AI assistant.

The environment engine for agent worktrees - zero-config dep sync + port/DB/compose isolation

A self-evolving Claude Code plugin. Context routing, memory bootup, smart delegation, self-correction — out of the box.

Production-ready Git workflow skills, agents, hooks, reviews, releases, and notifications for Claude Code and Codex.

Model Context Protocol (MCP) plugin to connect with Unity Editor — designed for Cursor, Claude Code, Codex, Windsurf and other IDEs

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

Poirot is a deep research agent kernel built for those who care about how agents are architected.

Codex-first Ultracode skill for dynamic coding workflows

Automated quality checks that nudge AI coding agents toward better habits

Deletion-first Agent Skill for removing test bloat, verification theater, and speculative fallbacks while preserving behavior.

Rails Engine with MCP compliant Spec.

Multi-agent orchestration for Claude Code with 15-30% token optimization, self-improving agents, and automatic verification

The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

🐙 ADLC Team Skills — Agentic SDLC for Engineering Teams

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

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.