A hackathon prototype demonstrating agentic AI capabilities in IT Service Management using Amazon Bedrock AgentCore and AWS services.
- Autonomous Incident Correlation: AI agents that independently group related incidents
- Proactive Monitoring: Predictive analysis with "top 3 issues" alerts
- Problem Management Integration: Automatic problem creation from incident patterns
- Knowledge Base Integration: AI-powered solution suggestions and auto-creation
- Multi-Agent Coordination: Supervisor agent orchestrating specialized agents
- Real-time Dashboard: Streamlit interface showing agent decisions and reasoning
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Install Dependencies
pip install -r requirements.txt
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Configure Environment
cp .env.example .env # Edit .env with your API keys -
Run Demo
streamlit run src/demo/dashboard.py
The solution uses autonomous AI agents that make independent decisions:
- Correlation Agent: Groups incidents using ML similarity analysis
- Monitoring Agent: Predicts infrastructure issues proactively
- Problem Agent: Creates problems from recurring incident patterns
- Knowledge Agent: Provides AI-powered solution suggestions and auto-creates articles
- Supervisor Agent: Coordinates all agents and resolves conflicts
src/
├── agents/ # Autonomous AI agents
│ ├── correlation_agent.py
│ ├── monitoring_agent.py
│ ├── problem_agent.py
│ └── knowledge_agent.py
├── models/ # Data models
│ ├── incident.py
│ ├── problem.py
│ └── knowledge_base.py
├── data/ # Data loading and samples
└── config.py # Configuration management
app.py # Main Streamlit application
COMPLETE_DOCUMENTATION.md # Full documentation with diagrams
This prototype demonstrates key agentic AI capabilities:
- Autonomous decision-making without human intervention
- Multi-agent coordination and conflict resolution
- Real-time learning and adaptation
- Proactive problem prevention
- Intelligent knowledge management and auto-creation
- GitHub Repository: https://github.com/ecogetaway/kiro-amazonQ-superhack
- Streamlit Demo: Available via Streamlit Cloud
- Complete Documentation: See
COMPLETE_DOCUMENTATION.mdfor full details
- Real-time agent status and performance metrics
- Autonomous decision tracking
- Knowledge base analytics
- Interactive incident analysis
- AI-powered similarity scoring
- Autonomous grouping decisions
- Proactive issue detection
- Predictive analytics with timelines
- Top 3 critical issues identification
- Pattern-based problem creation
- Root cause analysis
- ITIL-compliant automation
- Intelligent search capabilities
- AI-powered solution suggestions
- Auto-creation from incident resolutions
- Effectiveness tracking and analytics