#root-cause-analysis

A Kubernetes lab that reproduces real production incidents on a live, instrumented microservice stack — for testing root-cause-analysis tools and agents.

The self-improving SRE agent

Turn Claude Code into a team that has to prove it. 44 skills, 8 review agents, a validation router and a knowledge layer where nothing is claimed without a check that could have failed.

Open-source AI Operations platform for multi-agent systems featuring OpenTelemetry instrumentation, SigNoz observability, MCP-powered diagnostics, chaos engineering, workflow replay, and AI cost intelligence.

AI-assisted manufacturing quality analytics dashboard for scrap prediction, root cause investigation, and engineering action recommendations.

Enterprise Agentic AI Platform for autonomous pipeline monitoring, root cause analysis, incident retrieval, data quality validation, and self-healing workflow orchestration using LangGraph, FAISS, Vector Search, and Python.

Evidence-grounded Agentic RAG platform for industrial root-cause investigation using Qwen3, BGE-M3, hybrid retrieval, LangGraph, verification, and human approval.

Claude Code skill + /debug command that finds a bug's root cause from real runtime data — temporary NDJSON probes, a localhost ingest server for browser/container/remote targets, and verifiable cleanup.

Agent skills that make a model report what it cannot do. root-cause forbids a causal claim without evidence; sitrep puts the finding first, bad news above good, and names every gap. Ships clarity.py so the rules are a check, not advice.

Graph-grounded incident root cause, containment and on-call agent on FalkorDB. Every answer comes with its path. Graph Hacks 2026, Track 01.

Multi-Agent AI Copilot for Intelligent Root Cause Analysis using Azure OpenAI GPT-4o, Azure AI Foundry and Microsoft Foundry IQ.

Evidence-driven Kubernetes root cause analysis with LangGraph-orchestrated, bounded read-only investigation and deterministic diagnosis.