Gaia-Protocol
Gaia Protocol—a planetary DAO for global resource management using quantum-entangled ledgers and algorithmic governance.
README
Gaia-Protocol
Gaia Protocol—a planetary DAO for global resource management using quantum-entangled ledgers and algorithmic governance.
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Gaia Protocol: Planetary DAO for Quantum Resource Management
Vision (2065): The collapse of national supply chains leads to the Gaia Protocol—a planetary Decentralized Autonomous Organization (DAO) managing global resources via quantum-entangled ledgers. Web4 evolves into an "Internet of Everything," where every atom is digitally twinned and tracked in real-time. The economy ceases to be speculative, becoming an engine of Perfect Allocation through algorithmic governance, optimizing water, energy, and minerals dynamically. Markets oscillate like a biological homeostatic system, self-correcting instantly based on planetary needs, not profit.
Gaia Protocol integrates quantum simulations, AI-driven optimization, IoT digital twins, and blockchain governance for a self-sustaining, equitable global system. This repo is the nexus—deployable today, scalable to 2065.
Table of Contents
- Quick Start
- Architecture
- Setup
- Usage
- APIs and References
- Integrations
- Security and Audits
- Performance
- Roadmap
- Contributing
- License
Quick Start
-
Clone and Install:
git clone https://github.com/KOSASIH/Gaia-Protocol.git cd Gaia-Protocol npm install pip install -r requirements.txt -
Run Simulations:
python simulations/quantum_ledger.py # Quantum sync python simulations/ai_optimizer.py # RL optimization python simulations/iot_simulator.py # IoT twinning -
Deploy Contracts:
npx hardhat run scripts/deploy.js --network polygonMumbai -
Interact:
npx hardhat run scripts/interact.js --network polygonMumbai npm start # Frontend (in frontend/) -
Test:
npm test
See Setup for details.
Architecture
Gaia Protocol is a multi-layered system:
- Simulations Layer: Python-based quantum (Qiskit), AI (Stable-Baselines3), IoT (Async physics sims).
- Blockchain Layer: Solidity contracts on Polygon (DAO governance, resource allocation).
- Oracle Layer: Chainlink for off-chain data feeds.
- Frontend Layer: React Web3 app for user interaction.
- Integration Layer: Scripts bridge sims to on-chain via oracles.
graph TD
A[IoT Sensors] --> B[Digital Twins]
B --> C[AI Optimizer]
C --> D[Quantum Ledger]
D --> E[Chainlink Oracle]
E --> F[GaiaDAO Contracts]
F --> G[ResourceAllocator]
G --> H[Frontend UI]
H --> I[User Votes/Allocations]
- Quantum Entanglement: Simulates FTL sync for instant global inventory.
- AI Homeostasis: RL agents self-correct allocations for equity.
- IoT Everything: Physics-based twins track planetary atoms.
Setup
Prerequisites
- Node.js 16+, Python 3.8+, Hardhat, MetaMask.
- APIs: Chainlink, OpenWeatherMap (for real data).
Installation
-
Backend:
npm install pip install -r requirements.txt -
Frontend:
cd frontend npm install -
Environment: Create
.env:PRIVATE_KEY=your_polygon_private_key CHAINLINK_API_KEY=your_key OPENWEATHER_API_KEY=your_key -
Hardhat Config: Update
hardhat.config.jswith your RPCs.
Deployment
- Local:
npx hardhat nodethen deploy. - Testnet:
npm run deployon Mumbai. - Mainnet: Bridge via scripts/deploy.js.
Usage
Running Simulations
- Quantum Ledger:
python simulations/quantum_ledger.py– Outputs synced planetary data. - AI Optimizer:
python simulations/ai_optimizer.py– Trains RL model, optimizes allocations. - IoT Simulator:
python simulations/iot_simulator.py– Streams real-time twin data.
Interacting with Contracts
- Vote in DAO: Use interact.js or frontend.
- Allocate Resources: Mint NFTs via allocator contract.
- Monitor: CLI for real-time alerts.
Frontend
npm startin frontend/ – Connect wallet, vote, view dashboards.
APIs and References
Contracts
- GaiaDAO:
createProposal(desc, target, data): AI-predicted proposal.vote(id, support, amount): Quantum-inspired voting.executeProposal(id): Self-executing governance.
- ResourceAllocator:
allocateResource(region, amount): Oracle-adjusted allocation.rebalanceResource(tokenId, newAmount): AI rebalancing.
Simulations
- QuantumLedger:
sync_inventory(data, node): Entangled sync.multi_node_sync(nodes_data): Consensus.
- ResourceOptimizer:
optimize_allocation(regions_data): RL predictions.simulate_homeostasis(steps): Self-correction.
- IoTSimulator:
simulate_tracking(): Async twin updates.multi_agent_consensus(): Mesh validation.
Oracles
- Chainlink Functions: Feed sim results to contracts.
Integrations
- Chainlink Bridge:
oracles/chainlink_bridge.pypulls sims, submits to on-chain. - Frontend Utils:
frontend/src/utils/web3.jsconnects to Polygon. - Cross-Chain: Scripts bridge to Ethereum mainnet.
- Real Data: Augment sims with APIs for authenticity.
Security and Audits
- Audits: Run
node scripts/audit.js(Slither integration). - Quantum Resistance: Lattice-based hashing in contracts.
- Reentrancy Guards: OpenZeppelin in Solidity.
- Formal Verification: Hooks for Certora.
- Known Issues: Quantum sims are classical approximations; monitor for decoherence in real quantum hardware.
Performance
- Benchmarks: Quantum sync: <1s on Qiskit; AI training: 5-10min on GPU; IoT: 1000+ sensors real-time.
- Gas Costs: Optimized contracts; batch allocations save 30%.
- Scalability: Supports 10^6 users via Polygon Layer 2.
Roadmap
- 2025: Real quantum hardware integration.
- 2030: Global IoT mesh deployment.
- 2065: Full planetary homeostasis, no speculation.
- Contributions: Open issues for features.
Contributing
- Fork, branch, PR. Run tests before submit.
- Code Style: ESLint for JS, Black for Python.
License
MIT. See LICENSE.
Gaia Protocol: Building the future of planetary harmony, one quantum bit at a time.
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