OpsGenome | Multi-Agent AI for Cross-Stack Incident Resolution

OpsGenome is a multi-agent SRE and incident-resolution platform designed to diagnose and remediate complex, cross-stack production issues. Instead of relying on a single AI agent, OpsGenome coordinates specialized agents across Python, Java, Node.js, Docker, and Kubernetes to investigate failures concurrently, reason about dependencies, validate proposed changes through a Security Sentinel, and produce actionable remediation. 🔥 KEY CAPABILITIES • Multi-Agent Incident Resolution • Cross-Stack Diagnosis • Python + Java + Node.js + Kubernetes analysis • Dependency-aware remediation ordering • Security Sentinel for fail-closed safety validation • Unified diffs and rollback safety • Kubernetes multi-issue auditing • Copyable kubectl remediation commands • Declarative YAML patches for GitOps workflows • Large-scale streaming log triage • Constant-size LLM context processing • Automated test and verification suite ⚡ DEMO HIGHLIGHTS The demo shows six coordinated specialist agents investigating simultaneous failures across multiple technology stacks, followed by security validation and actionable remediation. It also demonstrates Kubernetes multi-issue auditing and large-scale log processing with a 1,000,000-line benchmark. 🛡️ SAFETY-FIRST APPROACH OpsGenome does not blindly trust AI-generated fixes. Proposed remediation passes through a dedicated Security Sentinel designed to detect credential exposure and destructive command patterns before changes are accepted. 🎯 THE CORE IDEA Incident ↓ Multi-Agent Investigation ↓ Cross-Stack Reasoning ↓ Dependency Analysis ↓ Security Validation ↓ Remediation ↓ Verification & Rollback Built as a hackathon prototype focused on making AI-assisted incident response more coordinated, explainable, and operationally useful. #OpsGenome #AI #MultiAgentAI #AIAgents #SRE #DevOps #Kubernetes #Cybersecurity #IncidentResponse #AIOps #Hackathon