The AGI Manual
A comprehensive handbook for AGI research, development, and implementation
The AGI Manual
A comprehensive engineering handbook for understanding and building Artificial General Intelligence systems.
What You'll Learn
This manual provides structured, practical knowledge for computer science students and AGI researchers. It covers foundational concepts, modern architectures, and cutting-edge frameworks like Hyperon, PRIMUS, and MeTTa.
Quick Navigation
Foundations
Core concepts, mathematics, and theoretical foundations for AGI
Architectures
Modern AI architectures and system design patterns
Hyperon
OpenCog Hyperon framework for scalable AGI
PRIMUS
Pattern Recognition and Integration Multi-Unit System
MeTTa
Meta Type Talk language for AGI programming
Roadmaps
Development paths and implementation strategies
Experiments
Practical experiments and benchmarks
Notes
Research notes and additional resources
Philosophy
This manual emphasizes:
- Practical Engineering: Real implementations over theory alone
- Clarity: Technical precision without unnecessary jargon
- Progression: Logical learning paths from basics to advanced topics
- Research-Driven: Based on current AGI research and frameworks
Start with Foundations if you're new to AGI, or jump directly to any section relevant to your work.