AI-Native Incident Management

Incident managementdesigned for 2026

AI-powered incident analysis — understand issues faster, resolve smarter

Start for free

Looking for an open-source solution? Star us on GitHub

Web Dashboard
Mobile App
Autonomous Intelligence

Meet your new On-call Partner

SLAR's AI agent doesn't just notify you—it investigates. Powered by Claude and MCP, it interacts with your infrastructure in real-time to provide context and resolution steps.

MCP Integration

Connects directly to your tools and logs.

Real-time Context

Retrieves runbooks and historical data instantly.

Automated Escalation

Smart routing based on incident severity.

SLAR AI AGENT — ACTIVE
agent:Detecting anomaly in auth-service
accessing kubernetes logs...
root-cause:OOMKill on pod auth-7f2a

Recommended Action

Increase memory limit to 512Mi in deployment spec.

Watching for resolution...

Powerful Features

Everything you need to manage incidents effectively, powered by modern engineering and AI.

Intelligent Scheduling

On-call rotations with automated transitions and visual timelines.

AI Analysis

Claude-powered incident analysis for faster resolution.

Smart Alerts

Rule-based routing and priority matching.

Multi-Channel

Slack, Firebase, and email support.

Security first

Role-based access control and secure integration.

Deployment

Start in seconds.

Deploy SLAR to your local machine or server with just a few simple steps.

Quick Start Guide
1Get the code
$git clone https://github.com/slarops/slar.git
2Make your project directory
$mkdir slar-project
3Copy compose files
$cp -r slar/deploy/docker slar-project/
4Copy config
$cp slar-project/docker/volumes/config/cfg.ex.yaml slar-project/docker/volumes/config/dev.config.yaml
5Launch SLAR
$cd slar-project/docker && docker compose up -d
Docker
Git
deployment complete in < 2 mins

Modern Stack. Fully Open.

Go 1.24
React 19
Next.js 15
Claude 3.5
Supabase
Redis
FastAPI
Docker
Tailwind 4
Kubernetes
PostgreSQL
MCP