Agentic four - AI Tinkerers - San Francisco Hackathon
AI Tinkerers - San Francisco
Hackathon Showcase 2nd Place Winner

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.

4 members

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:

  1. User interacts with AI through CopilotKit interface
  2. Prompts are processed by OpenAI/LlamaIndex backend
  3. EthosLens governance agents analyze responses for violations (PII, bias, misinformation)
  4. System blocks, flags, or approves content based on policy enforcement
  5. All interactions and violations are stored in Neo4j for compliance tracking
  6. 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 useCopilotReadable for sharing governance context

Tool Actions:

  • getGovernanceInsights action 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
Composio CopilotKit Gemini LlamaIndex Openai neo4j perplexity