Agentic four
Team consisting of an M.S. data scientist (Univ. of the Pacific; Python/R, ML/LLMs), Google system architect (Verilog/VHDL, FPGA, RISC‑V), Aion Labs AI researcher.
Project Description
EthosLens: AI Governance Agent Platform
EthosLens is a full-stack AI governance platform that provides real-time compliance monitoring, violation detection, and policy enforcement for AI systems. It transforms traditional AI interactions into governance-aware conversations through an intelligent agent architecture that combines CopilotKit’s agentic UI with LlamaIndex-powered reasoning and Neo4j graph-based audit trails.
Core Flow:
- User interacts with AI through CopilotKit interface
- Prompts are processed by OpenAI/LlamaIndex backend
- EthosLens governance agents analyze responses for violations (PII, bias, misinformation)
- System blocks, flags, or approves content based on policy enforcement
- All interactions and violations are stored in Neo4j for compliance tracking
- AI assistant provides governance insights and trend analysis
Theme Alignment: Addresses the critical need for AI safety and compliance in enterprise environments, providing real-time governance that goes beyond post-hoc auditing to active policy enforcement.
Judging Criteria Satisfaction
1. Running Code & Reliability ✅
Evidence:
- Full-stack application runs on
npm run dev:full - Backend server (port 4000) with health checks and error handling
- Frontend (port 5174) with responsive React UI
- Neo4j database integration with connection testing
- Graceful error handling and fallback responses
Limitations:
- Simplified violation detection rules (production would use ML models)
- Basic authentication (no user management system)
- Limited to OpenAI models (LlamaIndex integration ready but not fully implemented)
2. Fullstack Agent Integration ✅
Retrieval:
- Neo4j graph database for governance data retrieval
- Real-time interaction history and violation patterns
- CopilotKit
useCopilotReadablefor sharing governance context
Tool Actions:
-
getGovernanceInsightsaction for trend analysis - Real-time violation detection and blocking
- Automated policy enforcement with configurable severity levels
UI:
- CopilotKit sidebar integration with intelligent chat interface
- Interactive dashboard with real-time governance metrics
- Graph visualization of compliance relationships
Architecture:
[CopilotKit Frontend] ↔️ [Express API] ↔️ [OpenAI] → [EthosLens Governance] ↔️ [Neo4j]
Observability:
- Comprehensive logging with structured console output
- Neo4j graph database for audit trails and relationship tracking
- Real-time dashboard metrics and violation analytics
- Health check endpoints and service status monitoring
Design Patterns:
- Microservices architecture with clear separation of concerns
- Event-driven governance pipeline
- Graph-based data modeling for compliance relationships
4. UX & Agentic Experience ✅
Agentic Features:
- Intelligent governance assistant that understands compliance context
- Proactive violation detection and user guidance
- Natural language queries for governance insights
- Context-aware responses based on historical data
Team
Products & Tools
Additional Links
LinkedIn post