Sre GitHub Repositories (2026) · Open Source Tools

Build your own AI SRE agents. The open source toolkit for the AI era.

SRE Agent - CNCF Sandbox Project

Coroot is an open-source observability and APM tool with AI-powered Root Cause Analysis. It combines metrics, logs, traces, continuous profiling, and SLO-based alerting with predefined dashboards and inspections.

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.

A Kubernetes TUI, reimagined in Rust - built on kube-rs and ratatui, async-first from the ground up.

Manage CI/CD pipelines from multiple providers (self hosted, desktop app and ios app )

Giving Kubernetes Superpowers to everyone

An ops AI Agent that understands your infrastructure, finds the root cause, and fixes it — right from Slack, Telegram, Lark or DingTalk.

Terraform Pull Request Automation

Automatic SRE Superpowers within your Kubernetes cluster

The self-hosted AI SRE agent. You don't have to monitor your systems alone. Versus Incident will keep track of your services, applications, and systems, detect new or unexpected problems, and provide your team with the evidence needed to investigate.

Open-source, self-hosted alerting for metrics, logs, and databases. Includes a built-in AI agent and MCP server.

A blazing fast tool for building data pipelines: read, process and output events. Our community: https://t.me/file_d_community

Open-source status page, incident response and uptime monitoring

Enable Self-Service Operations: Give specific users access to your existing tools, services, and scripts

A curated list of awesome DevOps platforms, tools, practices and resources

The Kubernetes control room—built in Rust, ready for engineers and AI agents.

Web UI for Jaeger

An active monitoring software to detect failures before your customers do.

AURA is a production-tested SRE agent platform you can deploy in minutes. AURA handles the guardrails, APIs, state management, streaming, and failure handling required to put AI to work safely on production infrastructure.