Context Engineering: Build Consistent, Accurate, Predictable AI Systems

Project management skill system for Agents that uses GitHub Issues and Git worktrees for parallel agent execution.

AI-powered software development system that automates the entire lifecycle from requirements analysis to code delivery through specialized agent collaboration.

On-demand design systems from any URL. Five surfaces, one agent: web, API, CLI, TypeScript SDK, and a portable agent skill that runs inside Claude Code, Codex, and Cursor.

Your AI Chief of Staff — a personal operating system starter kit that adapts to your role. No coding required.

Multi-agent harness that runs Claude Code and Codex together as one system

Multi-agent systems, memory, planning, reasoning loops

Agent Skills for working UX designers. Challenge ideas, find blind spots, use the real design system, preserve evidence and decisions, and carry UX intent into engineering.

Independently authored prompt templates for AI coding agents — system prompts, tool prompts, agent delegation, memory management, and multi-agent coordination. Informed by studying Claude Code.

Zotero AI plugin Research assistant for Zotero 9. Chat with your library, run federated scholarly search, RAG, OCR, systematic reviews, and manage cloud storage. Includes standalone MCP, Agentic capabilities, and skills library.

A task management system designed for AI development

Claude Code, Codex, and multi-agent configuration system: principles, hooks, skills, and workflow patterns for AI-assisted development

🥷 A code-first, strongly-typed build automation system for Deno.

InnoShop is an AI-powered open source e-commerce system built on Laravel 13. It supports multiple AI models and native MCP (Model Context Protocol) for intelligent automation, with multi-language and multi-currency out of the box. Modular architecture and flexible plugin/theme system make it highly adaptable to diverse business needs.

Plik is a temporary file upload system (Wetransfer like) in Go.

50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.

Claude powered advisor system for option traders

Top Autonomous Research Multi-Agent System for 2026 Lab Experiments

A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, and observability.

🗂️🤖 Airtable Model Context Protocol Server, for allowing AI systems to interact with your Airtable bases

Markdown and OFM SDK w/ MCP server that transforms your Obsidian vault into an intelligent knowledge system

🦜✨ Chat system, MCP server, and reusable components to improve LLMs capabilities when generating SPARQL queries

MCPify is an AI enablement compiler that transforms existing applications into AI-native, agent-operable systems.

Runtime intelligence system that makes MCP servers debuggable, testable, and safe to run in production.