HoloInsight is a cloud-native observability platform with a special focus on real-time log analysis and AI integration.

AI-powered SRE platform for automated incident investigation

GMSSH: Desktop-Grade AI-Driven Operations Terminal High Performance · Non-Intrusive · AI-Powered;GMSSH 桌面级 AI 运维终端.高性能·零侵入·AI 智驱

clank your infra

InsightSolver: Colab notebooks for exploring and solving operational issues using deep learning, machine learning, and related models.

🏰 Real-time dashboard for monitoring and managing Clawdbot AI agents

An autonomous SRE agent that monitors cloud logs across multiple platforms, leveraging AI models from various providers to detect anomalies, perform root cause analysis, and automate remediation by creating GitHub Pull Requests.

AI that ships your code. Deploy to any cloud with plain English.

ARF is an agentic reliability intelligence platform that separates decision intelligence (OSS) from governed execution (Enterprise), enabling autonomous operations with deterministic safety guarantees.

OpenTelemetry-native run-level cost attribution SDK for AI workflows

Open source code for AIOpsServing

Deploy an AI-powered chatbot for your repo in under 2 minutes.

AI-powered incident response

tpu-doc is a zero-dependency diagnostic binary for Google Cloud TPU environments that instantly validates hardware health, discovers software stack configurations, and provides AI-powered log analysis to eliminate expensive debugging downtime.

Advanced, end-to-end, enterprise-grade agentic AI pipeline that automates competitor ad intelligence, performs multimodal creative strategy extraction, enables brand-safe adaptation, and generates AI video ads using LLM reasoning, multimodal analysis, and deterministic workflow orchestration with full auditability.

🚀 Enhance Google Cloud operations with the Gemini SRE Agent, automating log monitoring and incident response for smarter site reliability.

🤖 Build and deploy scalable Multi-AI Agent systems with LangGraph and Groq LLMs to enhance intelligence across enterprise applications.

Real-world patterns for shipping AI agents to production. Learn versioning, cost optimization, multi-tenancy, guardrails, and observability through runnable TypeScript examples.

It is an AI-powered DevOps tool that analyzes Linux server logs to detect anomalies and predict failures. It integrates ML models, automated fixes via Ansible, containerization with Docker, and orchestration using Kubernetes—providing a full-stack solution for predictive maintenance.

Automated Runbook Engine for Incident Response, CLI, command line documentation, and AI-assisted Operations