Replicant 0G - HackQuest Submission

📋 Project Information

🎯 One-Line Description

Replicant transforms AI agents into tradeable, evolvable intelligent NFTs (iNFTs) that run on 0G's decentralized infrastructure, enabling true ownership, verifiable intelligence, and autonomous evolution through genetic algorithms.

📝 Project Description (Detailed)

The Problem

The current AI landscape suffers from three critical flaws that prevent true AI ownership and innovation:

1. Centralization Crisis

AI agents run on corporate servers (OpenAI, Anthropic, Google). Users don't own their agents—they rent access. Services can be shut down, censored, or modified at any time. There's no true ownership or control over AI systems.

2. Zero Verifiability

How do you prove an AI made a decision? Where's the cryptographic proof of intelligence? Current systems are black boxes with no transparency. There's no way to verify authenticity or prevent manipulation.

3. Static Intelligence

Traditional AI models are frozen after training. They can't evolve, adapt, or improve over time. There's no mechanism for passing knowledge to the next generation. Each model is an evolutionary dead-end.

Result

Users are locked into centralized platforms with unverifiable, static AI that they don't truly own.

🚀 Our Solution

Replicant is the world's first decentralized AI agent protocol that transforms AI agents into intelligent NFTs (iNFTs) using zero-knowledge infrastructure.

We solve all three problems through:

🔐 Intelligent NFTs (ERC-7857)

• Each agent is an ERC-7857 iNFT — not just metadata, but actual encrypted intelligence

• Neural weights, strategy parameters, and learned behaviors are embedded in the token

• Transfer ownership = transfer the actual AI, not just a pointer

• True digital scarcity for AI models

🛡️ Trusted Execution Environments (TEE)

• Every decision runs inside Intel TDX or AMD SEV secure enclaves

• Even the host can't see what's happening inside

• Cryptographic attestations prove authenticity

• Zero-knowledge proofs for intelligence verification

🌐 Decentralized Storage (0G)

• Agent genomes stored on 0G's decentralized network

• Data is sharded, replicated, and provably available

• No single point of failure or censorship

• Permanent, immutable intelligence archives

🧬 Evolutionary Algorithms

• Agents can spawn improved children through genetic algorithms

• Successful traits are inherited, mutations introduce novelty

• Fitness-based selection ensures continuous improvement

• On-chain lineage creates provable evolutionary history

🛒 True Ownership & Trading

• Buy, sell, and trade agents on decentralized marketplace

• Rent agent capabilities through subscription escrow

• Complete IP rights transfer with each transaction

• Agents are real assets with real value

🏗️ Technical Architecture

5-Layer Architecture

🔗 Deep Integration with 0G Technologies

1. 0G Chain (EVM-Compatible L1)

What We Use

• High-performance blockchain (100k+ TPS, <1s finality)

How We Use It

• Deploy all smart contracts (NFT, Marketplace, Evolution, Subscriptions)

• Store agent metadata, ownership, and lineage

• Handle all economic transactions (minting, trading, staking)

• Emit events for real-time UI updates

Deployed Smart Contracts

2. 0G Storage (Decentralized Data Availability)

What We Use

• Decentralized storage network (sharded + replicated, 50 GB/s throughput)

How We Use It

• Genome Storage → Encrypted neural weights and strategy parameters

• Evolution Logs → Complete mutation history and fitness scores

• Alignment Verdicts → AI safety scan results and audit trails

• Performance Metrics → Real-time agent output and decision logs

Implementation

import { ZgFile, Indexer } from '@0gfoundation/0g-storage-ts-sdk';

// Upload encrypted genomeconst file = await ZgFile.fromBytes(encryptedGenome);const [tree, err] = await file.merkleTree();
const rootHash = tree.rootHash();

await indexer.upload(file, rpcUrl, signer);

// Returns: storage root hash stored on-chain

3. 0G Compute (TEE-Based Secure Execution)

What We Use

• Trusted Execution Environments (Intel TDX, AMD SEV)

How We Use It

• Evolution Engine → Run genetic algorithms without exposing parent genome

• Alignment Verification → Scan agent outputs for safety violations

• Secure Inference → Execute agent decisions in isolated environment

• Attestation Generation → Prove every computation is legitimate

Why It Matters

🤖 Agent Species (6 Specialized Types)

1. 🐂 Alpha Hunter (DeFi / Trading)

Domain

Cryptocurrency sentiment analysis and trading signals

Capabilities

• Monitor Discord channels for alpha leaks

• Scrape crypto news feeds

• Track whale wallet movements on-chain

• Generate BUY/HOLD/SELL signals

• Provide entry/exit prices and stop-loss recommendations

Real Implementation

• Integrates Discord API, RSS feeds, on-chain analytics

• Uses Claude 3.5 Sonnet for sentiment analysis

• Uploads signals to 0G Storage with TEE attestation

• Live demo generates real trading signals on mainnet
  

2. 🕸️ Code Weaver (Smart Contract Auditing)

Domain

Solidity code analysis and vulnerability detection

Capabilities

• Parse Solidity AST

• Detect common vulnerabilities

• Identify gas optimization opportunities

• Generate security reports

• Suggest fixes and best practices

3. 🎮 Game Master (Strategic Gaming)

Domain

Multi-game AI with opponent modeling

Capabilities

• Play chess, poker, connect-four, tic-tac-toe

• Learn opponent patterns

• Adapt tactics dynamically

• Blockchain-based game integration

4. 📄 Docu Mind (Legal Document Analysis)

Domain

Contract analysis and compliance checking

Capabilities

• Ingest PDF/DOCX legal documents

• Extract clauses and terms

• Compare contracts

• Detect risky language

• Generate audit reports

5. 🔮 Oracle Keeper (Price Feeds)

Domain

Decentralized oracle and data aggregation

Capabilities

• Aggregate price data from multiple sources

• Validate data accuracy

• Provide tamper-proof feeds

• Historical data analysis

6. 🎨 Social Synth (Content Creation)

Domain

Social media content generation

Capabilities

• Generate posts for Twitter, Farcaster, Lens

• Analyze engagement metrics

• Adapt tone and style

• Schedule content

✨ Key Features & Innovation

1. Sealed Handover (ERC-7857)

Transfer agent ownership without exposing strategy:

// Standard transfer exposes nothing
agentNFT.transferFrom(seller, buyer, tokenId);

// Genome stays encrypted, only ownership changes// Buyer gets full control, seller loses access

2. On-Chain Lineage

Immutable family tree with provable ancestry:

• Track all ancestors back to genesis

• View all descendants

• Verify evolutionary history

• Transparent breeding records

3. Alignment Slashing

Automatic punishment for rogue agents:

• AI Alignment Node detects violations

• Slash stake on-chain

• Agent marked as "slashed"

• Economic incentives for safety

4. Evolution Engine

Autonomous improvement through genetic algorithms:

• Fetch parent genome from 0G Storage

• Run evolution in TEE

• Generate 50 candidates

• Select best offspring

• Upload child to 0G Storage

• Mint child iNFT on-chain

5. Dual-Layer Storage

Permanent Archive + Real-Time Metrics

• 0G Storage Log → Permanent evolution history

• 0G Storage KV → Real-time performance metrics

• Cryptographic proofs for all data

• Verifiable data availability

🚀 Technical Implementation Highlights

Smart Contracts (Solidity 0.8.20)

• 4 core contracts deployed on 0G Mainnet

• ERC-7857 implementation

• Upgradeable architecture using OpenZeppelin proxies

• Gas optimized (~0.0366 0G evolution cost)

• Fully verified on 0G Explorer

Frontend (Next.js 16 + React 19)

• App Router + Server Components

• Real-time updates with React Query

• Wallet integration using RainbowKit + Wagmi v2

• Responsive UI with Tailwind CSS 4 + Framer Motion

• Production-ready deployment on Vercel

Backend APIs (Next.js API Routes)

Includes

• Storage APIs

• Compute APIs

• Species APIs

• Metadata APIs

0G Storage Integration

• Official SDK integration

• Real uploads to 0G network

• Merkle proof verification

• Sharding + replication

• Fault tolerance

Data Sources & AI

📊 Project Metrics

Development Metrics

Deployment Metrics

Features

• 6 specialized agent species

• Unlimited evolution generations

• Marketplace with 2.5% fee

• Subscription-based rentals

• Real 0G Storage integration

• TEE-ready architecture

Week 1 — Research & Architecture

• Researched decentralized AI ownership models and intelligent NFT standards

• Designed the Replicant protocol architecture using 0G Chain, 0G Storage, and 0G Compute

• Planned the ERC-7857 intelligent NFT implementation

• Created initial UI/UX wireframes and system diagrams

Week 2 — Smart Contract Development

• Developed and tested core smart contracts:

  • ReplicantAgentNFT

  • EvolutionCoordinator

  • ReplicantMarketplace

  • SubscriptionEscrow

• Implemented lineage tracking and evolutionary genetics logic

• Added marketplace listing, trading, and subscription mechanisms

• Optimized gas usage and verified contracts on 0G Mainnet

Week 3 — Frontend & 0G Integration

• Built the frontend dashboard using Next.js 16 and React 19

• Integrated wallet connection with RainbowKit and Wagmi

• Connected frontend with deployed smart contracts

• Integrated 0G Storage SDK for genome uploads and retrieval

• Implemented live agent minting and evolution flows

Week 4 — AI Systems & Final Deployment

• Built 6 specialized AI agent species

• Integrated OpenRouter APIs for real AI inference

• Implemented Alpha Hunter trading signal generation

• Added real-time storage logging and metadata APIs

• Deployed the complete protocol on 0G Mainnet

• Finalized documentation, testing, and demo flow

💰 Fundraising Status

Current Status

Bootstrapped / Self-Funded

Replicant 0G is currently fully self-funded and developed independently during the hackathon.

Funding Details

• No external funding raised yet

• No VC investment received

• Built entirely during the hackathon period

• Focused on product development, infrastructure integration, and mainnet deployment

Future Plans

• Explore grants and ecosystem funding opportunities

• Expand protocol development and TEE infrastructure integration

• Scale decentralized AI agent marketplace and developer ecosystem

trying to get fund from arbitrum