PAI - Personal AI Infrastructure

Open-source personal AI infrastructure for orchestrating your life and work

🔌 This is the Claude Code plugin version of PAI

Install with one command to get the full Personal AI Infrastructure. For advanced setup or the standalone version, visit the main PAI repository.

---

🎯 What is PAI?

Core Mission: Augment humans with AI capabilities so they can survive and thrive in a world full of AI.

It doesn't matter how powerful AI becomes if it's not accessible to everyone.

Right now, AI is trapped behind corporate APIs, expensive subscriptions, and complex interfaces that only developers can use. Meanwhile, billions of people who could benefit from AI augmentation—artists, teachers, small business owners, researchers, parents—are left behind.

PAI exists to solve this. This project's goal is to give the most powerful AI capabilities, in the form of a complete platform, to everyone on Earth.

What You Get

PAI is your personal AI that actually knows you—all your projects, your style, your data—and can handle anything you throw at it. Whether you're an artist transitioning to independence, a founder building a company, or someone managing complex life needs, PAI becomes whatever you need it to be.

PAI is an open-source, full personal AI platform that's completely agnostic to who you are and what you're trying to accomplish.

Real Capabilities

💼 Professional Content Creation Write blog posts in your style Publish directly to production Enhance existing content Business Analytics Newsletter metrics tracking Website performance analysis Client deliverables generation Development Code analysis and review Browser automation setup API infrastructure management

🏠 Personal Life Financial Intelligence Analyze bank statements Track spending patterns Parse PDFs for bills/expenses Memory & Conversations Search recorded meetings Query conversation history Find event discussions Health Tracking Monitor wellness metrics Track medical records Analyze sleep/fitness data

🔬 Research & Learning Knowledge Capture Extract insights from content Document learnings Deep web investigations Communication Automated email outreach SMS notifications Team messaging integration Productivity Task management Idea visualization Context-aware information access

---

🚀 Quick Start (Plugin Installation)

Prerequisites

1. Get Claude Code

Visit https://claude.ai/code to get Claude Code (Anthropic's official AI CLI).

2. Install Bun Runtime

brew install oven-sh/bun/bun

Install PAI Plugin

Option 1: One-Command Install (Easiest)

claude-code plugin install github:danielmiessler/PAIPlugin

Option 2: Manual Install

# Clone the plugin
git clone https://github.com/danielmiessler/PAIPlugin.git ~/.claude/plugins/PAI

# Run setup
cd ~/.claude/plugins/PAI
./setup.sh

Configure

# Create environment file
cp ~/.claude/.env.example ~/.claude/.env

# Add your API keys (optional - for research agents)
vim ~/.claude/.env

Launch

Open Claude Code and start using your Personal AI Infrastructure!

claude

---

🌟 Why PAI is Different

This system is designed from the very beginning to be available to anybody and to grow and scale with you throughout your life.

• 🔓 Open Framework: No vendor lock-in, complete transparency, you own everything
• 🌍 Universal: Works for anyone, anywhere, in any profession or life situation
• 🤖 Platform Independent: Core structure works with Claude, GPT, Gemini, or any AI platform
• 🧠 Persistent Memory: Your AI remembers every context, project, and conversation
• 🎯 Task Agnostic: From writing a blog to tracking medical data to running a business
• 📁 Plain Text: All configuration in human-readable files you can edit and understand
• 🔌 Extensible: Add your own skills, agents, and integrations

---

🏗️ Architecture

PAI is built on four core primitives that work together:

💡 Skills - Meta-containers for domain expertise

• Package workflows, knowledge, and procedural guidance
• Auto-load based on natural language triggers
• Progressive disclosure prevents context bloat

⚡ Workflows - Discrete task workflows within Skills

• Self-contained, step-by-step workflows in workflows/ subdirectories
• Auto-selected by natural language or invoked explicitly
• Like "exported functions" from a Skill module

🤖 Agents - Orchestration workers for parallelization

• Enable parallel execution of independent tasks
• Primarily invoke Skills/Workflows (not standalone knowledge bases)
• Best for background work where results are logged

🔌 MCPs vs Direct Code - Implementation flexibility

• Use MCPs for standardized platform services
• Use direct API code for domain-specific integrations

How They Work Together

User Intent → Natural Language Trigger
    ↓
SKILL (Container for Domain)
    ↓
WORKFLOW (Specific Task)
    ↓
Implementation (Direct Code or MCPs)
    ↑
Invoked by AGENTS (for parallelization)

Example:

You: "Do extensive research on AI agent planning"
  ↓
Research Skill loads
  ↓
workflows/extensive-research.md selected
  ↓
Launches 24 parallel researcher agents
  ↓
Results consolidated and saved

📖 Read the full architecture documentation

---

📚 Included Skills

Skill	What It Does	Example Usage
🔍 research	Multi-source research with parallel agents	"Research quantum computing trends"
🧵 fabric	242+ AI patterns (threat modeling, summarization, extraction)	"Create a threat model for our API"
💻 development	Full-stack development with architect and engineer agents	"Build a meditation timer app"
🎨 design	UX/UI design with shadcn/ui and Figma integration	"Design a dashboard for analytics"
🔒 ffuf	Web fuzzing for penetration testing	"Test this API for vulnerabilities"
📊 alex-hormozi-pitch	Create irresistible offers using $100M Offers framework	"Create a pitch for my SaaS product"
🌐 web-scraping	Extract data from websites (BrightData + Apify)	"Scrape product listings from this site"
📖 ref-documentation	Search technical docs (React, Next.js, 100+ frameworks)	"How do I use React hooks?"
▶️ youtube-extraction	Extract transcripts and content from YouTube videos	"Summarize this YouTube video"
🎭 webapp-testing	Browser automation and visual testing	"Test the login flow"

---

📖 Documentation

Guide	Purpose	Time
Architecture	Understand how PAI works	15 min
Migration Guide	Upgrade to v1.2.0	10 min
Full PAI README	Complete documentation	20 min

---

🚀 Recent Updates

[!IMPORTANT] 🔥 v1.2.0 - Skills-as-Containers Migration - Complete architectural upgrade

📅 Click to see recent updates

Latest Changes

• ✨ Oct 31, 2025: v1.2.0 - Skills-as-Containers Migration - Complete architectural upgrade
• ✨ Oct 19: Session-start hook now loads CORE skill - improved Skills system bootstrap
• ✨ Oct 18: Major repo cleanup - fixed missing files, hooks, settings
• ✨ v0.5.0: Skills-based architecture with 92.5% token reduction

v1.2.0 Highlights

What Changed:

• Moved 73 commands into skill-specific workflows/ subdirectories
• Enhanced 21 skills with proper workflow organization
• Created example-skill demonstration
• Renamed PAI skill → CORE skill

Architecture Benefits:

• ✅ Domain knowledge colocated with workflows
• ✅ Clear ownership and responsibility
• ✅ Natural language routing: Skills → Workflows
• ✅ Easier discovery of related capabilities
• ✅ Better encapsulation of domain context

Migration Stats:

• 73 commands migrated to skill workflows
• 21 skills enhanced with workflows/ directories
• Zero errors, 100% QA pass rate
• Complete in ~25 minutes using parallel agents

📖 See MIGRATION.md for complete upgrade guide

---

🤝 Community

Get Help

• 🐛 Report Issues: https://github.com/danielmiessler/Personal_AI_Infrastructure/issues
• 💬 Discussions: https://github.com/danielmiessler/Personal_AI_Infrastructure/discussions
• 📖 Full Documentation: https://github.com/danielmiessler/Personal_AI_Infrastructure

Contribute

⭐ Star the repos to stay updated:

• PAI Main Repository
• PAI Plugin

---

🙏 Acknowledgments

Special thanks to contributors who have enhanced PAI:

• Joseph Thacker (@rez0) - FFUF skill with comprehensive web fuzzing guidance

---

📄 License

PAI is MIT licensed. See LICENSE for details.

---

🌍 The Path to Human 3.0

"Humans are what matter. AI is only as useful as it is to people. A system like this is needed to level the field with AI and help us get to Human 3.0."

Created by Daniel Miessler

📧 Newsletter • 📝 Blog • 💼 LinkedIn • 🎬 YouTube

---

Questions? See the full PAI documentation for comprehensive guides, examples, and architecture details.