The decisive moment · Autonomous Incident Intelligence
Your AI First Responder
for Production Incidents
Kairos watches your logs 24/7, detects anomalies in real-time, and delivers a validated 3-part Root Cause Analysis in seconds — powered by a self-reflective LangGraph Investigator → Critic loop running entirely on your infrastructure.
How Kairos Thinks
A fully automated pipeline from raw logs to validated root cause analysis. Every component runs as an isolated Docker microservice.
Live Cockpit
Real-time WebSocket stream. Click “Simulate Production Incident” above to fire a demo incident and watch the AI agent investigate in real-time.
Running on demo data. Connect your production logs via the Integration Hub to analyse real incidents.
Built for Enterprise Scale
This is not a wrapper. Kairos implements the same architectural patterns used by Staff SREs at top-tier engineering organizations.
LangGraph Multi-Agent
A cyclic state machine that forces adversarial self-correction. The Investigator drafts an RCA, but the Critic validates it against hallucinations and missing steps. Max 2 revision cycles.
Dual-Mode LLM Inference
Runs 100% air-gapped on-premise using Ollama (llama3.1), OR cloud-native using the Groq API (llama-3.1-8b-instant) LPU engine at 500 tok/s. Zero code changes required.
ChromaDB Vector RAG
Semantic memory for the SRE agent. Retrieves the top 3 similar historical incidents in under 10ms and injects their root causes into the LLM context to prevent repeating mistakes.
Neo4j Blast Radius
GraphRAG dependency mapping. When a service errors, the system queries Neo4j to instantly identify all downstream consumers affected, feeding blast radius context to the Investigator.
Redis Semantic Cache
Deduplication layer. Identical error patterns hitting simultaneously bypass the LLM layer entirely, serving a validated RCA from memory in ~4ms instead of ~8 seconds.
FastAPI + WebSockets
High-throughput async backend. Ingests logs, runs anomaly detection, and streams real-time state machine transitions to the Next.js frontend without long-polling.