PAI is not a chatbot. It is a Reasoning-Centric Operating System designed to bridge the gap between local compute and AGI. By utilizing Intelligence-Amplification Scaffolding (IAS), PAI enables smaller, self-hosted models (8B-32B) to perform with the accuracy and reasoning depth of 70B+ frontier models.
Built for the year 2030, PAI transforms your local machine into a sovereign node in a global agentic economy.
PAI's 70+ modular skills are organized into 12 strategic pillars designed for maximum autonomy, privacy, and revenue:
- Core: The fundamental OS and IAS reasoning loop (Think Twice, Act Once).
- Revenue: Lead qualification via
Alpha predatorand closing viaCloser. - Cyber: OSINT (
Ghost), scanning (Specter), and hardening (Bastion). - Economy:
Bargainglobal arbitrage andStoryIP registration. - Senses: Vision (
Iris), local audio (Voice), and environmental ingestion (Echo). - Autonomy: Proactive
Oraclesuggestions andHiveparallel orchestration. - Sovereign: Privacy audits (
Sovereign) andSanctumisolated execution. - Strategy: Temporal knowledge
Graphand recursiveFoldcompression. - Spatial: Unreal Engine 5
DojoandArchitectworld-state management. - Physical: IoT
ActuateandFabricatehardware synthesis. - Mesh: Decentralized L2 identity (
Protocol) andWalletarbitrage. - Intelligence: Local 1.58-bit (BitNet) management via
Nodes setup.
1. Clone the Infrastructure
git clone https://github.com/matt-fell-ai/PAI.git ~/PAI
cd ~/PAI2. Initialize the Node Run the 2030 onboarding wizard to configure your VAI (Verified Agent Identity) and local inference engine.
./bin/pai-init3. Launch the Gateway Interact with PAI from any model (Claude Desktop, Cursor, Droid) via the high-efficiency MCP Gateway.
./bin/pai-omniPAI includes a comprehensive test suite to ensure all 70+ modules are 100% operational in your environment.
./bin/pai-test