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🌿 Mossland AI Research

Research at the intersection of AI and Web3 — decentralized governance, autonomous agents, sustainable infrastructure, and the token economy of the Mossland ecosystem.

Research Areas Docs Focus Updated Contact

Welcome to the Mossland AI Research repository. As of mid-2026, our work spans six pillars — from AI tooling for DAO governance and autonomous on-chain agents, to sustainable/green AI, digital twins, stablecoins, character AI, and blockchain network infrastructure. Each study is grounded in the Mossland ecosystem (MOC / Mosscoin utility, DAO governance, and the metaverse) and most are published in both Korean and English.


🗺️ Research Map

flowchart LR
    ROOT(("🌿 Mossland<br/>AI Research"))
    ROOT --> A["🏛️ AI for DAO Governance"]
    ROOT --> B["🤖 Agents, Protocols &amp; Trust"]
    ROOT --> C["🌱 Sustainable AI &amp; Energy"]
    ROOT --> D["💴 Stablecoins &amp; Finance"]
    ROOT --> E["🎭 Character AI &amp; Content"]
    ROOT --> F["🌐 Networks &amp; Infrastructure"]
    A --> A1["Profiling · Summaries · Proposal Gen · GovRisk"]
    B --> B1["MCP · Agentic Payments · Agent Identity · Verifiable AI"]
    C --> C1["EcoAI · GreenLedger · Digital Twin · AI×DePIN"]
    D --> D1["KRW-Pegged Stablecoin"]
    E --> E1["Character AI Platforms · On-chain Character IP"]
    F --> F1["Luniverse ↔ Ethereum · Gasless ERC-20"]
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✨ New in 2026

Four new research tracks explore the emerging agentic stack — how autonomous AI agents transact, prove their work, and carry identity on-chain:

New Track In one line Docs
Agentic Payments Autonomous agent payments via MCP × x402/AP2 × stablecoins, settled in MOC KR · EN
AI × DePIN Token-incentivized physical infrastructure for Mossland's AI & energy systems KR · EN
Verifiable AI TEE · zkML · opML · C2PA proofs so on-chain AI outputs are machine-checkable KR · EN
Onchain Agent Identity ERC-8004 identity, reputation & scoped delegation for AI agents KR · EN

🏛️ AI for DAO Governance

AI tooling that makes decentralized governance more legible, participatory, and efficient.

Topic Focus Docs
User Profiling & DAO Summary Personalized summaries from voting behavior and preferences KR · EN
Recent DAO AI Case Study How AI has been integrated into real DAO decision-making KR · EN
User-Centric Proposal Summarization Tailored summaries of proposals and forum debate Folder
AI Agent ↔ DAO Interface Conversational, adaptive UIs for governance Interface · Use Cases
Multi-Document Summarization Consolidating on-chain records + community text Design
DAO User Scenario Flows Flow diagrams of AI-driven governance journeys Diagrams
AI Crypto Analyst System Automated market/token analysis for DAO participants Report
AI-Driven Proposal Generation Drafting proposals from trends, sentiment & on-chain signals System
AI-GovRisk Predicting proposal risk & success, with improvement suggestions KR · EN

🤖 AI Agents, Protocols & Trust

The infrastructure for autonomous AI agents — how they connect to tools, pay, prove, and identify themselves.

Topic Focus Docs
Model Context Protocol (MCP) Open standard connecting AI models to tools, data & context Research
Agentic Payments Autonomous agent payments (MCP × x402/AP2 × stablecoins), settled in MOC KR · EN
Onchain Agent Identity ERC-8004 identity, reputation & scoped ERC-4337/EIP-7702 delegation KR · EN
Verifiable AI TEE attestation, zkML/opML proofs & C2PA provenance for on-chain AI KR · EN
AI Agent ↔ Smart Contracts Efficient on-chain query, execution & contract design for agents Access · Interaction

🌱 Sustainable AI, Digital Twin & Energy

Green AI infrastructure and physical-world systems, tied to verifiable on-chain incentives.

Topic Focus Docs
EcoAI Energy-optimized, sustainability-aware AI infrastructure (RL scheduling, Green Proof) KR · EN
GreenLedger Blockchain-verified energy traceability + tokenized Eco Credits (with Aetherion Co.) KR · EN
Digital Twin & HVAC Digital-twin foundations for buildings and energy systems Folder · HVAC Primer
AI × DePIN Token-incentivized physical infrastructure (compute, sensors, energy) for AI KR · EN

💴 Stablecoins & On-Chain Finance

Feasibility, regulation, and design for a KRW-pegged stablecoin in the Mossland economy.

Topic Focus Docs
KRW-Pegged Stablecoin Structure, Korean/global regulation (as of 2026), and Mossland integration Index · Design · Overview · Applications · Leverage · CBDC vs. SC

🎭 Character AI & Web3 Content

Persona-driven AI as interactive content, intellectual property, and Web3-native assets.

Topic Focus Docs
Character AI Platform Research Architecture, ecosystem & future of character-based AI chatbots Research
On-chain Character AI Integrations Decentralized identity, monetization & ownership for character AI Ideas

🌐 Blockchain Networks & Infrastructure

The networks and on-chain plumbing underneath Mossland's applications.

Topic Focus Docs
Luniverse ↔ Ethereum Luniverse network overview and Ethereum transition considerations Overview: KR · EN — Transition: KR · EN
Gasless ERC-20 (Gas Sponsorship PoC) Gasless token transfers on Sepolia (Alchemy Account Kit + Gas Manager) Overview · Env Setup · PoC

🔗 Ecosystem Integration

Cross-cutting threads that tie the research areas together:

  • AI & Metaverse Applications — innovating user experiences within Mossland's virtual environments.
  • Mosscoin (MOC) Utility Expansion — AI agents that grow the practical use of MOC, from tokenized AI prompts to agent-settled machine-to-machine payments.
  • Verifiable, Sustainable, Autonomous — the 2026 agenda: agents that can prove their work (Verifiable AI), pay for it (Agentic Payments), identify themselves (Agent Identity), and run on accountable green infrastructure (EcoAI, GreenLedger, AI × DePIN).

📚 Previous AI Research Initiatives

A rich history of pioneering projects:


🤝 Get Involved

We welcome contributions from developers, researchers, and enthusiasts passionate about decentralized AI innovation. For collaboration or inquiries, contact lab@moss.land.

Let's build the future of decentralized AI together!

About

This repository contains AI research and development resources for the Mossland project. Focus areas include computer vision, natural language processing, and data analytics to improve virtual experiences. The repo includes prototypes, tools, and documentation for AI integration within the Mossland ecosystem. Contributions are welcome.

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