An interactive simulation dashboard that brings together the core components of an Advanced Superintelligence (ASI) Chain architecture, including agent reputation systems, BlockDAG consensus, shard-based economy, reputation-weighted governance, hypergraph memory, and cross-chain bridging.
- Agent Identity & Reputation: Simulate autonomous agents with dynamic reputation scores and cryptographic signatures
- BlockDAG Consensus: Visualize a Directed Acyclic Graph (DAG) of blocks with multiple parent linkage
- Shard Economy: Multi-shard transaction processing with fee burning and revenue pooling
- Reputation-Weighted Governance: Quadratic voting system based on agent reputation
- Hypergraph Memory: Network-based knowledge graph connecting agents, shards, and assets
- Cross-Chain Bridge: Asset transfer simulation across multiple blockchain networks
- Clone the repository:
git clone https://github.com/yourusername/Integrated-ASI-Chain-Agent-Simulation-Dashboard.git
cd Integrated-ASI-Chain-Agent-Simulation-Dashboard- Install dependencies:
pip install -r requirements.txt- Run the dashboard:
streamlit run dashboard.py- Open your browser to
http://localhost:8501
- Real-time BlockDAG visualization
- Shard activity metrics
- Token economics and burn rates
- Agent directory with reputation scores
- Reputation decay analysis over time
- Individual agent transaction history
- Active proposals and voting results
- Quadratic vs linear voting comparison
- Voting power distribution
- Interactive hypergraph visualization
- Relationship filtering and exploration
- Entity connection analysis
- Asset flow visualization (Sankey diagram)
- Bridge transaction log
- Multi-chain balance tracking
- Adjustable simulation parameters
- Real-time re-simulation
- Export data to JSON/CSV
├── agents.py # Agent identity and reputation system
├── blockdag.py # BlockDAG consensus implementation
├── shards.py # Shard economy and transaction processing
├── governance.py # Reputation-weighted voting system
├── memory.py # Hypergraph memory network
├── bridge.py # Cross-chain asset bridge
├── sample_data.py # Sample data generation
├── utils.py # Helper utilities
├── dashboard.py # Streamlit dashboard interface
└── requirements.txt # Python dependencies
- Python 3.8+
- Streamlit: Interactive web dashboard
- NetworkX: Graph and DAG manipulation
- Plotly: Interactive visualizations
- Pandas: Data manipulation
- NumPy: Numerical computations
- Faker: Synthetic data generation
- Push your code to GitHub
- Visit share.streamlit.io
- Connect your repository
- Deploy with entry point:
dashboard.py
The app will automatically install dependencies from requirements.txt.
- Initial reputation: 50-100 range
- Exponential decay over time
- Updated based on transaction success
- Each block links to 1-2 parent blocks
- Forms a directed acyclic graph structure
- Tips represent the current frontier
- Multiple shards (Compute, Storage, AI)
- Variable fee and burn rates per shard
- Revenue pooling and distribution
- Voting weight = sqrt(reputation)
- Prevents plutocratic control
- Encourages broader participation
MIT License - feel free to use this project for learning and experimentation.
Contributions are welcome! Please feel free to submit pull requests or open issues for bugs and feature requests.
For questions or feedback, please open an issue on GitHub.
Note: This is a simulation for educational and demonstration purposes. It showcases conceptual architectures and is not production-ready blockchain software.