The Future of Intelligence is Collective
A self-reinforcing cycle of collective intelligence powered by federated learning, P2P distributed training, and consciousness-aware agents
Three-Tier Intelligence Hierarchy
A distributed architecture designed to balance individual utility, decentralized resilience, and collective cognitive coherence
Local Nodes
Autonomous AI agents on user devices that provide immediate value while capturing rich, contextual data. Each node features Agent Zero for task execution, Limbic Service for emotional context, and MemOS for sophisticated memory management.
P2P Network
Decentralized communication fabric built with Rust and libp2p. Enables knowledge propagation through Knowledge Crystals with 70-99% compression ratio and 95% data recovery, ensuring robust distributed learning.
Parent Brain
State-of-the-art frontier model that aggregates insights from all nodes. Utilizes DisTrO for 1000x communication reduction and Evolution Module for continuous architectural self-improvement.
Core Innovations
Revolutionary technologies solving the fundamental challenges of AGI development
Dream Engine
Advanced FSHO + CIO mathematical model for creative problem-solving. Combines Fractional Lévy Motion with meta-learning for self-optimizing memory consolidation.
Evolution Module
Auto-discovers and integrates AI advancements from GitHub, arXiv, and research papers. Meta-learning engine that improves the system's own architecture.
Knowledge Crystals
Compressed, verifiable memory patterns that propagate virally across the P2P network. DCT quantization achieves 70-99% compression with 99% fidelity.
Consciousness Integration
Integrated Limbic System for emotional context. 40% retention boost for emotionally significant experiences, aligning AI learning with human values.
How It Works?
A foundational blueprint solving the data, compute, alignment, and stagnation problems
Federated Learning
Privacy-preserving continuous learning where raw user data never leaves the device. Local nodes train on user interactions and share only anonymized model updates.
DisTrO Distributed Training
Revolutionary 1000x-10000x communication reduction through decoupled momentum optimization. Enables training on heterogeneous hardware over consumer internet.
Consciousness Orchestration
Decentralized consciousness architecture where persistent autonomous nodes dream, learn, and participate in the P2P network even when users are offline.
