Skip to content
@jleechanorg

jleechanorg

🌐 jleechanorg

✨ This meta-repository collects shared configuration for the organization and serves as a jumping-off point for all other public projects under @jleechanorg. Explore the highlights below to quickly find the automation framework or showcase build that fits your needs.

📋 Table of Contents


🛠️ AI Development Recommendations

ai_dev_recs - Battle-Tested AI Coding Toolchain

Evidence-based AI development toolchain recommendations from production usage at WorldArchitect.AI

Based on 19,044 commits over 6 months running a production AI-powered D&D platform. This is NOT a "top 10 AI tools" listicle - it's a battle-tested toolchain extracted from actual production usage, backed by git commit evidence and real workflow patterns.

🔗 View the Recommendations →

What's Inside

  • 19 Tools - Claude Code CLI, pytest, gh CLI, Gemini, beads, tmux, Cursor, Warp, Docker, and more
  • 10 MCP Servers - Multi-agent coordination, testing, Chrome automation
  • 80+ Custom Commands - /copilot, /fixpr, /redgreen, /fake, and specialized workflows
  • Multi-Agent Orchestration - 4 AI agents (copilot, cursor, codex, claude) working autonomously
  • Automatic Quality Gates - /fake hook catches speculative code (15% catch rate, 343 checks/month)
  • 12-Step Development Workflow - Complete lifecycle from planning to deployment

Key Metrics

  • 📊 19,044 commits analyzed (6 months of production usage)
  • 🧪 17.4% test coverage (3,308 testing commits)
  • 🤖 7,950 /copilot invocations (PR automation)
  • 🔍 343 automatic code quality checks (via /fake hook)
  • 💰 $40-60/month (cost-conscious AI development)

Documentation

Who This Is For: Developers using Claude Code, Cursor, or other AI coding tools who want to see real production patterns with evidence-based recommendations.


🧠 Consensus ML

Consensus ML - Multi-Model AI Consultation Platform

Ask one question, receive synthesized analysis from 5 major AI models (Cerebras, Claude Sonnet 4, Gemini 2.5 Flash, Perplexity Sonar, Grok) with consensus, divergent perspectives, and comprehensive coverage highlighted. Research shows multi-model approaches reduce hallucinations by 60% and outperform single models.

🔗 Explore the Platform →

Core Technology Stack

  • Backend: TypeScript FastMCP HTTP/STDIO server + Express middleware
  • Frontend: React 19 + TypeScript + Vite with Tailwind CSS
  • Conversations: Dedicated MCP server for conversation persistence
  • Architecture: "MCP all the way down" - separate services communicate via Model Context Protocol
  • Infrastructure: Google Cloud Run, Firebase Auth, Firestore persistence, Secret Manager

Key Features

  • 🤝 2-Round Parallel Architecture - Round 1: All models execute in parallel (~22s), Round 2: Cerebras synthesizes insights (~8s)
  • Cost Efficiency - Cerebras synthesis at ~$0.60/M tokens vs $5-20/M for premium models
  • 📦 Published npm Packages - Reusable @ai-universe/* packages for MCP-based applications
  • 🔄 Dual Transport - FastMCP HTTP proxy (production) + STDIO transport (Claude CLI development)
  • 📊 Conversation Persistence - MCP-native conversation management with Firestore storage
  • 🛡️ Tiered Rate Limiting - Anonymous/authenticated/VIP tiers with distributed coordination

🎮 WorldAI GenAI RPG

WorldArchitect.AI - AI-Powered Tabletop RPG Platform

Your Digital D&D 5e Game Master - an AI-powered tabletop RPG platform that generates dynamic narrative content, manages game state, and provides an immersive campaign experience.

🎯 Try the Live Demo →

Core Technology Stack

  • Backend: Python 3.11 + Flask 2.x with Google Gemini AI integration
  • Database: Firebase Firestore with real-time synchronization
  • Frontend: Vanilla JavaScript + Bootstrap 5.x with multi-theme support (light/dark/fantasy/cyberpunk)
  • AI Pipeline: Advanced prompt engineering with dual-pass generation, entity tracking, and model fallback

Key Features

  • 🎭 Interactive Story Generation - Real-time AI-powered narrative with planning block enforcement
  • ⚔️ D&D 5e Mechanics - Hybrid architecture combining rule-based validation with generative content
  • 📊 State Synchronization - Explicit game state tracking with consistency validation
  • 📄 Multi-Format Export - Campaign documents in PDF/DOCX/TXT for offline play
  • 🎨 Theme System - 5 distinct visual themes with runtime switching
  • 🔧 MCP Architecture - Model Context Protocol for clean separation of concerns

🚀 Flagship Systems

  • Multi-agent coordination system via async messaging (forked from Dicklesworthstone/mcp_agent_mail).
  • 9 core enhancements removing coordination barriers: 65% token reduction via lazy loading, global agent/message lookup across projects, automatic @mention scanning in unified inbox.
  • Streamlined workflows: one-step agent registration with auto-project creation, contact-free messaging without approval gates.
  • Projects as metadata only (not boundaries), enabling seamless cross-repo agent collaboration with flexible project keys.

Automation backbone that scales Anthropic's Claude Code across heterogeneous environments.

  • 150+ purpose-built slash commands compose MCP tools, shell scripts, and remote workflows into repeatable playbooks.
  • Pipelines include queueing, rate limiting, observability hooks, and audit-friendly transcripts for full lifecycle coverage.
  • Cross-platform setup guidance ensures Linux, macOS, and WSL contributors can bootstrap consistent workspaces in minutes.

Multi-agent orchestration system for complex development tasks using tmux-based agent management:

  • Specialized Agents: Frontend, backend, testing, and task-specific agents with complete isolation
  • Intelligent Reuse: 50-80% efficiency gains through idle agent detection and strategic reuse
  • Real-time Coordination: Redis-backed coordination with progress monitoring via /orch status
  • Natural Language Commands: "Build X urgently", "connect to sonnet 1", "monitor agents"
  • Branch Isolation Protocol: Agents work in dedicated worktrees preventing context contamination

Seamless CI/CD integration with intelligent PR processing (PyPI: jleechanorg-pr-automation | source):

  • Actionable PR Detection: Only processes PRs that need attention based on commit-based tracking
  • Safety Limits: Built-in rate limiting (per-PR and global) with cross-process thread-safe persistence
  • Hook Integration: Auto-triggers after push operations with full Claude Code workflow integration
  • Email Notifications: Optional SMTP integration for automation alerts
  • TodoWrite Integration: Tracks automation tasks with comprehensive progress reporting
  • Node.js FastMCP façade with Python scraping workers for reliable traversal of the public web.
  • Translates natural-language crawl intents into structured jobs that return deduplicated Markdown in real time.
  • Built-in sanitizers strip tracking cruft and normalize typography, yielding clean corpora for downstream models.
  • Operational resilience via caching, rate limits that respect robots.txt, and resumable streams for transient failures.

💼 Portfolio Highlights

🗂️ Repository 🎯 Focus ✨ Highlights
jleechan_fun Sandbox experiments Lightweight playground for quick ideas and creative prototypes.
claude_llm_proxy Claude CLI proxying Unified installer connecting Claude Code CLI to Vast.ai, Cerebras Cloud, or local Ollama backends while preserving tool execution.
claude_misc WSL stability tooling Scripts that monitor Claude Code memory use on WSL2, auto-restart the agent, and integrate with cron for persistent protection.
snap_clone Web Snapchat clone React + Vite app rebuilding public Snapchat profile pages with metadata parsing and feature tab rendering.
snap_ios_clone iOS Snapchat clone SwiftUI + Firebase implementation covering camera UX, ephemeral messaging, stories, and MVVM architecture.

🔍 Looking for something else? Explore the full organization at github.com/jleechanorg.

Pinned Loading

  1. claude-commands claude-commands Public

    A collection of Claude commands and utilities

    Python 26 4

  2. mcp_mail mcp_mail Public

    Fork of mcp_agent_mail - A mail-like coordination layer for coding agents

    Python 9 3

Repositories

Showing 10 of 48 repositories

People

This organization has no public members. You must be a member to see who’s a part of this organization.

Top languages

Loading…

Most used topics

Loading…