An enterprise agentic AI platform that autonomously investigates production incidents, performs root-cause analysis, proposes remediation behind policy guardrails, obtains human approval, and executes and verifies recovery — with durable workflows, full auditability, and LLMOps built in.
Status: design phase. The system is being built in documented, buildable phases. Design documents live in
docs/design/:
- Executive Summary
- Business Problem
- Enterprise Use Cases
- Functional Requirements
- Non-Functional Requirements
- Architecture
- Component Diagram
- Sequence Diagrams
- Database Design
- Folder Structure
- Service Responsibilities
- API Design
- Agent Design
- State Management
- Memory Architecture
- Tool Architecture
- Security Architecture
- Authentication
- Authorization
- Secrets Management
- Observability
- Evaluation Strategy
- Human Approval Workflow
- Retry Strategy
- Failure Recovery
- Rate Limiting
- Cost Optimization
- Scaling Strategy
This README will be replaced by full project documentation as implementation lands.
MIT