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๐ŸŒŸ ZK-Haiku-NanoGPT: Agentic Proof-Chaining Framework - Production-ready infrastructure for verifiable multi-agent AI collaboration using zero-knowledge proofs

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๐ŸŒŸ ZK-Haiku-NanoGPT: Agentic Proof-Chaining Framework

The world's first production-ready infrastructure for verifiable multi-agent AI collaboration using zero-knowledge proofs.

Ethereum Zero Knowledge License Deployment Status

๐ŸŽฏ Overview

This framework enables cryptographically verifiable AI agent coordination through zero-knowledge proofs, deployed on Ethereum Sepolia testnet. It provides the infrastructure for trustless multi-agent systems where AI agents can:

  • ๐Ÿ” Prove computations without revealing internal states
  • ๐Ÿ”— Chain proofs across multiple reasoning steps
  • ๐Ÿค Collaborate trustlessly with cryptographic guarantees
  • ๐Ÿ“Š Build reputation through on-chain verification history
  • โšก Scale efficiently with gas-optimized verification

๐Ÿš€ Live Deployment

All contracts are operational on Ethereum Sepolia testnet:

Architecture Contract Address Specialization
RWKV 0x52b5e61fA6Ae53BA08B9094eA077820283Dcec01 Time-mixing context preprocessing
Mamba 0x89dFdcC74Ed05bf2a76eF788b15e5cbC8Ad8C5cD Selective state space processing
xLSTM 0x52a55dEBE04124376841dF391Ef0e4eF1dd6835B Extended memory synthesis

Performance: ~45K gas per verification โ€ข Total deployment cost: 0.1257 ETH

๐Ÿ—๏ธ Architecture

Three-Layer Design

  1. ๐Ÿง  Neural Architecture Layer: Specialized verifiers for RWKV, Mamba, and xLSTM
  2. ๐Ÿ”— Proof-Chaining Layer: Cryptographic linking of multi-step computations
  3. ๐Ÿค– Agentic Coordination Layer: Delegation operads and multi-agent orchestration

Core Components

๐Ÿ“ฆ Repository Structure
โ”œโ”€โ”€ contracts/              # Production Solidity verifiers
โ”œโ”€โ”€ scripts/               # Deployment and testing scripts
โ”œโ”€โ”€ src/                  # Python implementation
โ”œโ”€โ”€ ezkl_workspace/       # Zero-knowledge model configurations
โ”œโ”€โ”€ config/              # Deployment addresses and settings
โ””โ”€โ”€ docs/               # Comprehensive documentation

โšก Quick Start

1. Setup Environment

# Install dependencies
npm install
pip install -r requirements.txt

# Configure for Sepolia testnet
cp .env.example .env
# Add your PRIVATE_KEY and SEPOLIA_URL

2. Test Deployed Contracts

# Test all three neural architectures
npm test

# Or test individual verifiers
node scripts/simple_model_test.js

3. Generate and Verify Proofs

# Generate EZKL proofs for all architectures
python src/real_model_inference.py

# Deploy to your own testnet (optional)
npx hardhat run scripts/deploy_sepolia.js --network sepolia

๐Ÿ”ฌ Technical Capabilities

Zero-Knowledge Verification

  • Plonk proving system with BN254 elliptic curve
  • Gas-optimized at ~45,660 gas per proof verification
  • Batch verification for multiple proof chains

Multi-Agent Coordination

  • Delegation operads for hierarchical agent management
  • Proof chaining with cryptographic integrity guarantees
  • Receipt generation for complete audit trails

Production Ready

  • Comprehensive testing across all neural architectures
  • Gas optimization for cost-effective verification
  • Event logging for complete transparency
  • Error handling with detailed diagnostics

๐ŸŽฏ Use Cases

AI Agent Marketplaces

// Agent proves capability without revealing internals
function proveCapability(bytes calldata proof, uint256[] calldata publicInputs) 
    external returns (bytes32 receiptId)

Trustless AI Collaboration

// Chain multiple agent computations with verification
function chainProofs(bytes32 previousReceipt, bytes calldata newProof)
    external returns (bytes32 chainedReceipt)

Verifiable Reasoning

// Multi-step reasoning with cryptographic guarantees
function verifyReasoningChain(bytes32[] calldata proofChain)
    external view returns (bool valid)

๐Ÿ“Š Performance Metrics

Metric Value Details
Verification Gas 45,660 Per proof verification
Deployment Cost 0.1257 ETH All three contracts
Proof Generation ~1-5 seconds EZKL model compilation
Contract Size ~2.1MB Optimized for mainnet

๐Ÿ› ๏ธ Development

Adding New Neural Architectures

  1. Create ONNX Model: Export your architecture to ONNX format
  2. Generate EZKL Circuit: Use our workspace templates
  3. Deploy Verifier: Run deployment scripts with new configuration
  4. Test Integration: Verify end-to-end proof generation

Extending Coordination Protocols

  1. Define Operads: Create new delegation patterns
  2. Implement Chaining: Add proof composition logic
  3. Test Scenarios: Validate multi-agent workflows
  4. Deploy Updates: Use upgrade-safe contract patterns

๐Ÿ“š Documentation

๐ŸŒ Integration Examples

MCP Server Integration

# Connect external agentic systems
from mcp_server import AgenticProofChain

chain = AgenticProofChain(
    contracts=["0x52b5e61f...", "0x89dFdcC7...", "0x52a55dEB..."],
    network="sepolia"
)

# Submit proof for verification
receipt = await chain.verify_computation(proof_data, architecture="rwkv")

Web3 Integration

// Direct contract interaction
const verifier = new ethers.Contract(CONTRACT_ADDRESS, ABI, signer);
const receipt = await verifier.verifyAndChain(proof, publicInputs, previousReceipt);

๐Ÿ”ฎ Roadmap

Phase 2: Advanced Coordination (In Progress)

  • ๐Ÿšง Agent registry and capability management
  • ๐Ÿšง Proof-chaining orchestrator deployment
  • ๐Ÿšง MCP server for external integration

Phase 3: Production Deployment (Planned)

  • ๐Ÿ“‹ Ethereum mainnet deployment
  • ๐Ÿ“‹ Economic incentive mechanisms
  • ๐Ÿ“‹ Reputation and staking systems

Phase 4: Ecosystem Expansion (Future)

  • ๐Ÿ”ฎ Multi-chain deployment (Polygon, Arbitrum, Base)
  • ๐Ÿ”ฎ Cross-chain proof verification
  • ๐Ÿ”ฎ AI agent marketplace integration

๐Ÿ’ก Contributing

We welcome contributions! See our issues for current development priorities:

  • ๐Ÿ”ง Smart Contract Optimization: Gas efficiency improvements
  • ๐Ÿง  New Neural Architectures: Additional model support
  • ๐Ÿ”— Proof-Chaining Protocols: Enhanced coordination mechanisms
  • ๐ŸŒ Integration Libraries: SDK development for popular frameworks

๐Ÿ“„ License

MIT License - see LICENSE for details.

๐Ÿ™ Acknowledgments

Built with:

  • EZKL - Zero-knowledge ML framework
  • Hardhat - Ethereum development environment
  • ethers.js - Ethereum library
  • Neural architectures: RWKV, Mamba, xLSTM communities

๐Ÿš€ The future of verifiable multi-agent AI collaboration starts here!

For questions, support, or collaboration opportunities, please open an issue or reach out to the development team.

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