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Home/Categories/DevOps & CI/CD/OpenSRE
icon of OpenSRE

OpenSRE

Open source alternative to Incident.io, PagerDuty and Squadcast

Automate incident response with OpenSRE, which investigates alerts, correlates evidence, and recommends remediations across Datadog, Grafana, and Slack.

5K starsPythonApache-2.0Active this month
Visit websiteGitHub repo
image of OpenSRE
Contents
  1. 01Who OpenSRE is for
  2. 02The problem it solves
  3. 03How it solves it
  4. 04Strengths and trade-offs
  5. 05Install and self-host
  6. 06Tech stack
  7. 07FAQ
  8. 08Similar open-source tools
TL;DR

OpenSRE is a framework for building AI SRE agents that investigate incidents across observability and operations tools. It replaces manual alert triage and black-box incident automation for teams that want evidence-linked investigations on their own infrastructure. Apache-2.0 licensed.Apache-2.0 · Python · 5K stars · Active this month

who it's for

Who OpenSRE is for#

SRE teams testing AI incident triage

Use OpenSRE when on-call teams want AI-assisted investigation with evidence collection and evaluation before production rollout.

Skip if:

You need a mature managed incident platform with enterprise support today.

Platform engineers building internal ops agents

Use OpenSRE as a framework for custom incident workflows across the observability and cloud tools your organization already uses.

Skip if:

Your incident process is not documented enough to evaluate agent behavior.

the problem

The problem it solves#

Production incidents scatter evidence across metrics, logs, traces, cloud consoles, tickets, and chat. On-call engineers spend precious time gathering context before they can reason about root cause or next actions.

AI incident tools can help, but many are closed services that require sending operational telemetry into a vendor-controlled system. SRE teams need automation they can inspect, test, and adapt before trusting it during outages.

how OpenSRE solves it

How it solves it#

Incident investigation agents

OpenSRE agents fetch alert context, correlate evidence, reason across systems, and produce investigation reports with probable root causes and next steps.

Integration-oriented workflow

The README positions OpenSRE around connecting the tools teams already run, including observability and incident channels.

Synthetic and cloud-backed tests

OpenSRE includes synthetic RCA suites and end-to-end scenarios, giving teams a way to evaluate agent behavior before production use.

strengths · trade-offs

Strengths and trade-offs#

Strengths

  • Evaluation is part of the projectThe project treats incident-agent testing as a core capability, which matters because SRE automation needs evidence and repeatable validation, not only demos.
  • Runs under team controlOpenSRE is designed to investigate incidents on infrastructure the team controls, helping operators review data flow and deployment policy.

Trade-offs

  • -Public alpha maturityThe README marks OpenSRE as public alpha. Teams should treat APIs, integrations, and workflows as evolving before using it for critical automated response.
install · self-host

Install and self-host#

bash
curl -fsSL https://install.opensre.com | bash
tech stack · detected from GitHub

What it's built on#

Languages
Python
Infrastructure
AWS
frequently asked

FAQ#

What is OpenSRE?

OpenSRE is an open-source framework for AI SRE agents that investigate production incidents and produce evidence-linked reports.

Is OpenSRE production-ready?

The project README describes it as public alpha, so teams should evaluate it carefully before relying on it for critical response.

How do you install OpenSRE?

The README documents an installer at install.opensre.com, plus Homebrew and Windows PowerShell options.

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Repository

Stars
5K
Forks
628
License
Apache-2.0
Latest
v2026.5.13
Last commit
29 days ago
Last verified
May 13, 2026
Repo
Tracer-Cloud/opensre ↗

Additional details

Language
Python
Open issues
197
Contributors
164
First release
2026

Categories

DevOps & CI/CDSecurity & MonitoringIT Management

Tags

Workflow AutomationMonitoringObservabilityDevOps ToolsAI AgentsError TrackingSecurity