Investigate production incidents across observability signals and draft next remediation steps with OpenSRE

Pull logs, metrics, traces, and runbook context into one incident investigation loop before a human operator guesses at the root cause.

Prerequisites

OpenSRE installation, access to the target observability stack and incident context, supported infrastructure credentials, terminal access

Installation

Use the upstream install or setup path that matches your environment:

• brew tap tracer-cloud/tap
• brew install tracer-cloud/tap/opensre
• pipx install opensre

Requirements and caveats from upstream:

• Deploy OpenSRE as a standard Python/FastAPI runtime using the repo Dockerfile or a managed app host such as Railway, EC2, ECS, or Vercel. Set LLM_PROVIDER plus the matching API key (see .env.example);...

Basic usage or getting-started notes:

• <p>The open-source framework for AI SRE agents, and the training and evaluation environment they need to improve. Connect the 60+ tools you already run, define your own workflows, and investigate incidents on your own...

• Quick Start

• The root installer URL auto-detects Unix shell vs PowerShell. Add --main when you want the latest rolling build from main instead of the latest stable release.

• Source: https://github.com/Tracer-Cloud/opensre

• Extracted from upstream docs: https://raw.githubusercontent.com/Tracer-Cloud/opensre/HEAD/README.md

Documentation

• https://opensre.com

Source

• Agent Skill Exchange