Markdown that steers an LLM is code. Genesis is the architectural layer for designing multi-agent, multi-skill systems -- with named patterns, contracts, and substrate portability, before you write them.
Multi-agent system for software development
EOC: open-source operating system for OpenAI Codex workflows with agents, skills, hooks, rules, memory, safety gates, and cross-harness adapters.
List MCP Server configurations in your system used by AI applications like Cursor, Claude Desktop, VS Code and others
The definitive guide & configuration system for GitHub Copilot CLI — agents, skills, rules, multi-AI orchestration, and more
Samurai-inspired multi-agent system for Claude Code. Orchestrate parallel AI tasks via tmux with shogun → karo → ashigaru hierarchy.
Model Context Protocol (MCP) server that enables AI assistants to securely interact with Odoo ERP systems through standardized resources and tools for data retrieval and manipulation.
A memory system using mem0 for AI applications. Enables long-term memory for AI agents as a drop-in MCP server.
No-No Debug — Self-evolution system for AI coding assistants. 10 minutes writing code, 2 hours debugging? This skill makes your AI remember all its bugs.
Build click-through, animated system architecture diagrams as a single HTML file. Drop it into a workshop, design review, or onboarding doc and let people watch the data flow instead of reading static boxes-and-arrows.
🎨 Open-source design MCP server + shadcn/ui registry — AI design systems for Claude Code, Cursor, Codex, GitHub Copilot & any MCP client. 31 brand-grade themes (Linear, Stripe, Vercel, Notion, Apple, Supabase, Figma…) + design tokens, UI principles & WCAG rules. Install any component with one command.
AI agents and Nix: parametrable skills/instructions and tools, packaged together in a reproducible and modular fashion
The Universal AI-Optimized Project Boilerplate. A Tiered Memory System (TMS) designed to maximize AI agent performance. Includes an interactive CLI tool and a high-signal documentation standard.
Multi-agent research automation framework for LLM agents, with adversarial lab meetings, paper-review rounds, auditable Markdown workflows, an autonomous runtime watchdog, and a pixel-art web dashboard.
🪈 Intelligent orchestration system that coordinates multiple AI coding assistants (Claude, Codex, Gemini CLI, Copilot CLI) to collaborate on complex software development tasks via REPL or a Vue/Nuxt UI dashboard. Also includes an Agentic Team runtime with role-based multi-agent open communication & lead-gated final responses.
Shared skills, safe for production.
An instruction layer for AI coding agent
Portable AI agent orchestration with mechanical protocol enforcement. 186 agents, zero runtime dependencies.
Correction-first persistent memory for AI agents. MCP server + SDK + CLI. Compounds across sessions.
28 eval-informed mental models and critical-thinking skills for Claude Code, GitHub Copilot, Codex, Cursor, and other Agent Skills-compatible tools
Personal AI assistant for work inside corporate constraints, built on coding agents and the tools, sessions, and permissions you already have.
Open-source AI front-office factory for agencies serving local businesses: website, booking, intake, CRM, and agents in one workspace. Self-hostable.
🎬 Open-source animated architecture diagrams as code. Diagram-native DSL, 17 layout engines, Web Animations API, and MCP server for AI agents.
Coordinate your coding agents like a group chat — read receipts, delivery tracking, and remote ops from your phone. One pip install, zero infrastructure. A production‑minded orchestrator for 24/7 workflow