hip-0000

HIP-0: Hanzo AI Architecture & Framework. Status Draft. Hanzo's own standard — read this before implementing against it.

HIP-0000: Hanzo AI Architecture & Framework

Abstract

This document outlines the Hanzo AI architecture, development framework, and the Hanzo Improvement Proposal (HIP) process. It serves as the foundational reference for understanding Hanzo's AI infrastructure, multimodal capabilities, and community governance model.

Hanzo AI Overview

Evolution: From Web2.0 to Blockchain AI

Hanzo began as hanzo.ai in the Web2.0 era, pioneering AI infrastructure and services. We've now evolved to hanzo.network, launching initially as L2 on Lux Network with a clear path to sovereign L1 status, bringing our AI expertise to the blockchain ecosystem.

Timeline:

Web2.0 Era (hanzo.ai): AI infrastructure, enterprise services, and foundational model development
Blockchain Launch (hanzo.network): Initial L2 deployment on Lux Network
Sovereignty Upgrade: Forthcoming transition to full sovereign L1
Current Architecture: Hybrid web2/web3 with progressive decentralization

Current Architecture

Hanzo operates as an L2 on Lux Network with a sovereign L1 upgrade path:

Phase 1 (Live Now):

L2 EVM chain deployed on Lux Network
AI infrastructure and $AI tokenomics active
Integration with Lux infrastructure services

Phase 2 (Next):

HMM chain launch with native DEX functionality
Sovereign L1 upgrade maintaining Lux integration

Key Components:

Blockchain: L2 on Lux Network → Sovereign L1 (next)
HMM DEX: Native exchange for AI compute resources
AI Models: Multimodal (text/vision/audio/3D)
Ownership: Per-user model forks as assets
Security: Quantum-safe via Lux Q-Chain rollups
Token: $AI for governance, compute, training

Lux Infrastructure (see Lux LIPs):

Wallet: Multi-sig via Lux Safe (LIP-1)
Exchange: $AI trading on lux.exchange (LIP-2)
Bridge: Cross-chain via Lux Bridge (LIP-3)
Identity: SSO via Lux ID (LIP-4)
Consensus: Quasar photonic selection (LIP-5)

Technical Architecture

Current Status: L2 EVM chain on Lux Network (Live)
Next Phase: HMM chain launch with sovereign L1 upgrade
Consensus: Proof of Compute (PoC) - miners provide compute
Block Time: 2 seconds
Finality: Instant (single-slot)
Validators: Compute providers with GPU resources
Native Token: $AI
Quantum Safety: Lux Network Q-Chain quantum rollups
Compute DEX: HMM (Hanzo Market Maker) for AI resources

Upgrade Path:
  Phase 1 (Live): L2 EVM chain on Lux
  Phase 2 (Next): HMM chain + Sovereign L1

Proof of Compute (PoC) Consensus

Hanzo uses Proof of Compute where miners provide AI compute resources to secure the network:

PoC Protocol:
  - Compute Mining: Miners provide GPU/TPU resources for AI tasks
  - Work Validation: Cryptographic proof of computation performed
  - Rewards: $AI tokens for validated compute contributions
  - Quality Metrics: Performance-based reward adjustments
  - Resource Types:
    - Model training compute
    - Inference serving
    - Fine-tuning operations
    - Embedding generation

Quantum Safety via Q-Chain

Hanzo achieves full quantum safety through Lux Network's Q-Chain quantum rollups:

Q-Chain Integration:
  - Quantum Rollups: All transactions quantum-resistant
  - PQC Algorithms: NIST-approved ML-KEM/ML-DSA
  - Cross-Chain Security: Quantum safety across EVM and HMM chains
  - Future-Proof: Ready for quantum computing era
  - Zero-Knowledge: Optional ZK proofs for privacy

HMM Native DEX

The HMM (Hanzo Market Maker) is our native decentralized exchange specifically designed for AI compute resources:

HMM Features:
  - Compute Resource Trading: Buy/sell GPU time, model inference, training slots
  - Dynamic Pricing: Market-based pricing for AI compute
  - Resource Pools: Liquidity pools for different compute types
  - Instant Settlement: Sub-second compute allocation
  - Quality Metrics: Performance-based pricing adjustments
  - Cross-Chain Bridge: Access compute from Lux, Ethereum, and other chains
  - Quantum-Safe: All transactions protected by Q-Chain

Architecture Components

Core Infrastructure

hanzo/
├── llm/              # LLM gateway and routing
├── agent/            # Agent SDK and orchestration
├── mcp/              # Model Context Protocol
├── jin/              # Multimodal framework
├── search/           # AI-powered search
├── platform/         # PaaS infrastructure
└── node/             # Hanzo Node with PQC

Hanzo Multimodal Models (HMMs)

Hanzo's proprietary multimodal AI models supporting:

Text: Natural language understanding and generation
Vision: Image understanding and generation
Audio: Speech recognition and synthesis
3D: Spatial understanding and generation
Cross-modal: Unified representations across modalities

Agent Framework

Autonomous Agents: Self-directed task completion
Tool Use: Integration with external tools and APIs
Memory Systems: Long-term and working memory
Planning: Multi-step reasoning and execution
Collaboration: Multi-agent coordination

Security Infrastructure

Post-Quantum Cryptography: NIST-compliant ML-KEM/ML-DSA
TEE Integration: Secure enclaves for sensitive operations
Privacy Tiers: Adaptive security levels
Key Management: Hanzo KBS for secure key handling

HIP Process

Proposal Lifecycle

Idea: Community discussion and refinement
Draft: Formal proposal creation
Review: Technical and community review
Last Call: Final review period (14 days)
Final: Accepted and ready for implementation
Superseded: Replaced by newer proposal

Proposal Types

Standards Track: Technical specifications
Meta: Process and governance
Informational: Best practices and guidelines

Numbering Convention

0-99: Core infrastructure and governance
100-199: AI models and architectures
200-299: Agent frameworks
300-399: Tools and integrations
400-499: Security and privacy
500+: Application standards

Development Principles

AI-First Design

Every component designed for AI workloads
Optimized for inference and training
Multimodal by default

Scalability

Horizontal scaling for inference
Distributed training support
Edge to cloud deployment

Interoperability

Open standards (MCP, OpenAI API)
Multiple model provider support
Cross-platform compatibility

Security

Quantum-resistant by design
Defense in depth
Privacy-preserving computation

Community Governance

Decision Making

Rough consensus model
Technical merit primary consideration
Community input via forums and discussions

Roles

Authors: Propose and maintain HIPs
Editors: Review and merge proposals
Implementers: Build HIP specifications
Community: Provide feedback and consensus

Communication Channels

GitHub: Code and proposals
Forum: Long-form discussions
Discord: Real-time chat
Twitter: Announcements

Implementation Requirements

For HIP Authors

Clear problem statement
Detailed specification
Security considerations
Test cases
Reference implementation (when applicable)