Hanzo Improvement Proposals
Technical standards and protocols for Hanzo AI infrastructure — Model Context Protocol, Agent SDK, LLM Gateway, and services powering the next generation of AI applications.
What are HIPs?
Hanzo Improvement Proposals (HIPs) are design documents providing information about new features, standards, and processes for the Hanzo AI ecosystem.
Standards Track
Technical specifications for AI protocols, APIs, and infrastructure components that require implementation across the platform.
Meta Proposals
Process and governance proposals that define how Hanzo AI evolves, including decision-making and contribution guidelines.
Informational
Guidelines, best practices, and design recommendations for the Hanzo AI ecosystem that don't require direct implementation.
HIP Categories
14 active categories spanning 235 proposals across AI infrastructure, models, security, compute, ethics, and beyond.
Foundation & Models
Foundational specifications for Hanzo AI architecture, Hamiltonian LLMs, Jin multimodal AI, LLM Gateway, and core AI infrastructure.
Application Interfaces
Standards for chat, search, workflow, deployment, computer control, document processing, analytics, payments, and more.
Infrastructure Services
IAM, secrets management, databases, event streaming, observability, storage, CI/CD, and cloud platform standards.
Developer Tools & SDKs
Multi-language SDKs, CLI tools, vector search, inference engines, API gateways, documentation, embeddings, analytics, DID, and DNS.
Cloud Infrastructure
Edge computing, security guard, integration hub, monitoring, zero-trust, message queues, pub/sub, ML pipelines, and databases.
Platform Services
Serverless functions, notifications, scheduling, feature flags, log aggregation, backup/DR, data governance, and federated learning.
Quantum Computing
Quantum computing integration, quantum key distribution, quantum machine learning, and quantum random number generation.
Governance & Supply Chain
Software bill of materials, open source contributor payouts, and open AI protocol standards.
Robotics & Physical AI
Robotics integration, computer vision pipelines, digital twin simulation, and sensor fusion/SLAM standards.
Biotech & Life Sciences
Brain-computer interfaces, genomics pipelines, drug discovery AI, synthetic biology, and medical AI standards.
Cross-Chain Integration
Cross-chain bridge protocols and ecosystem interoperability with Lux Network and other chains.
Responsible AI & Ethics
Standards for ethical AI development, bias detection, model transparency, safety evaluation, and responsible deployment.
Impact & Sustainability
Standards for sustainable AI compute, carbon-neutral infrastructure, efficient model practices, and positive social impact.
Architecture
High-level system architecture specifications including unified MCP tools architecture.
Recent Proposals
View allHanzo Version Chronology --- 1.0 / 2.0 / 3.0 / 4.0
Canonical version timeline for the Hanzo Network from initial AI compute infrastructure through the GPU-native 4.0 activation on 2026-02-14.
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Ready to contribute?
Join the Hanzo AI community and help shape the future of AI infrastructure. Submit your own HIP or contribute to existing proposals.