#Root-cause-analysis
Showing 14 of 14 repositories tagged #root-cause-analysis, ranked by stars
eBPF-powered network observability for Kubernetes. Indexes L4/L7 traffic with full K8s context, decrypts TLS without keys. Queryable by AI agents via MCP and humans via dashboard.
Build your own AI SRE agents. The open source toolkit for the AI era.
UpTrain is an open-source unified platform to evaluate and improve Generative AI applications. We provide grades for 20+ preconfigured checks (covering language, code, embedding use-cases), perform root cause analysis on failure cases and give insights on how to resolve them.
AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star
国内首个企业级 IT 运维多 Agent 自动化平台 — 基于大语言模型的智能运维解决方案。ITOps Agent Platform通过可视化工作流编排，将多个AI Agent组合成智能运维自动化流水线，实现服务器管理、告警处理、故障诊断、日志分析、脚本管理、定时运维任务的自动化执行， 支持国内外主流大模型，旨在 Zabbix/Prometheus 告警自动修复闭环，Docker 一键部署，多平台兼容。
OpenChatBI is an intelligent chat-based BI tool powered by large language models, designed to help users query, analyze, and visualize data through natural language conversations. It uses LangGraph and LangChain to build chat agent and workflows that support natural language to SQL conversion and data analysis.
An ops AI Agent that understands your infrastructure, finds the root cause, and fixes it — right from Slack, Telegram, Lark or DingTalk.
[ICLR'25] OpenRCA: Can Large Language Models Locate the Root Cause of Software Failures?
Unified CloudOps platform with AI-SRE, AI-FinOps, AI-K8sOps, and the Agentic Automation Builder without fragmented tools, context switching, or model lock-in.
Aurora — Open source AI-powered agentic incident management & root cause analysis for SREs. LangGraph agents investigate across AWS, Azure, GCP, Kubernetes. Integrates with PagerDuty, Datadog, Grafana, Slack and More. Apache 2.0.
This repository contains a reading list of papers on multivariate time series anomaly detection. This repository is still being continuously improved.
A curated list of 100+ AI-powered tools, platforms, and resources for Site Reliability Engineering (SRE) — agents, incident management, observability, AIOps, chaos engineering, and more.
Multi-Agent Debugger: An AI-powered debugging system using CrewAI to orchestrate specialized agents that analyze logs, trace code, and uncover root causes across your stack — powered by LLM providers.
Autonomous agent for Kubernetes incident detection, diagnosis, and mitigation using LLMs and modular workflows. Integrates LangChain, LangGraph, and MCP servers to enable automated SRE tasks in cloud-native environments.