Hetu Causality Graph

A decentralized causality graph system that provides distributed digital knowledge graph capabilities.

Core Features

1. DGraph (Decentralized Digital Graph)

Decentralized knowledge graph system
Enables distributed storage and management of graph data
Automatic data backup and synchronization
Built on Dgraph for distributed database capabilities

2. P2P Network

Distributed peer-to-peer network communication
Ensures reliable and efficient data transmission between nodes
Relay node architecture with master-slave replication
Secure data transmission with TEE (Trusted Execution Environment)

3. POCW (Proof of Causality Work)

Novel consensus mechanism for causality verification
Maintains data integrity and trust in the network
Lamport ID-based identity system
Causal consistency enforcement

4. Causality Dashboard

Web-based visualization interface
Browse and interact with the causality graph
Monitor network status and analytics
User identity management and verification

System Architecture

Components

Frontend Interface
- User interaction portal
- Data visualization
- Identity management
Backend TEE Gateway
- Secure data processing
- Transaction validation
- Identity verification
Relay Nodes
- Master-slave replication
- Data propagation
- Causal order maintenance
Composite Database Nodes
- Dgraph-based distributed storage
- Data synchronization
- Graph data management

Identity System

Lamport ID: Unique digital identity for users
Social Binding: Twitter account linkage
Public Key Integration: Nostr protocol compatibility
Invitation System: Community growth mechanism

Data Flow

User interaction through frontend
TEE gateway processing
Relay node propagation
Database synchronization
Graph visualization update