What is AI-powered incident management?

AI-powered incident management uses intelligent agents to automate incident response tasks like alert triage, runbook execution, root cause analysis, and team notifications. Instead of relying solely on on-call engineers, AI agents can handle initial diagnosis and remediation steps 24/7, reducing MTTR and on-call burnout.

Is Akmatori open source?

Yes, Akmatori is fully open source and free to use. You can self-host it on your own infrastructure using Docker or Kubernetes, maintaining complete control over your data and incident workflows.

What LLM providers does Akmatori support?

Akmatori supports multiple LLM providers including OpenAI (GPT-4), Anthropic (Claude), Google (Gemini), and OpenRouter. You can also use on-premise models like Mistral, GLM, Kimi, or Minimax for data sovereignty requirements.

How does Akmatori integrate with PagerDuty?

Akmatori integrates with PagerDuty via webhooks and the PagerDuty API. When an incident is triggered, Akmatori's AI agents can automatically acknowledge alerts, gather context from your observability stack, execute diagnostic runbooks, and post updates to incident channels.

Can Akmatori reduce on-call burnout?

Yes. Akmatori handles routine incidents autonomously, filters alert noise, and only escalates to human engineers when necessary. This significantly reduces the number of pages during off-hours and allows SRE teams to focus on high-impact work instead of repetitive troubleshooting.

What observability tools does Akmatori work with?

Akmatori integrates with popular observability tools including Prometheus, Grafana, Datadog, New Relic, Splunk, and CloudWatch. AI agents can query metrics, logs, and traces to diagnose issues automatically.

Akmatori - Open-Source AI Agents for Incident Management

Get Started in 60 Seconds

Deploy Akmatori locally or on Kubernetes with a single command. No vendor lock-in, full data control.

# Clone and start Akmatori in under a minute
git clone https://github.com/akmatori/akmatori.git
cd akmatori
docker compose up -d

# Open http://localhost:8080 to access the UI

# Install the Akmatori CLI curl -fsSL https://get.akmatori.com | sh # Authenticate with your instance akmatori auth login --url https://akmatori.example.com # List recent incidents akmatori incidents list --status open --limit 5 # Trigger an investigation from the command line akmatori incidents create \ --title "High CPU on prod-web-01" \ --severity critical \ --source prometheus \ --context '{"host":"prod-web-01","cpu":98.5}' # Stream agent activity in real-time akmatori agent logs --follow --incident inc_abc123 # Run ad-hoc diagnostics with the AI agent akmatori agent run "Check why checkout-api has high latency" # Export incident timeline to JSON for post-mortems akmatori incidents export inc_abc123 --format json > postmortem.json

What is Akmatori?

Akmatori is an advanced AI-powered agent designed to automate incident management, streamline troubleshooting, and optimize workflows for DevOps and SRE teams. By reducing downtime and boosting efficiency, it ensures seamless operations with intelligent, AI-driven solutions.

Key Features

Everything you need to automate incident management

Automated Incident Response

Resolve 80% of common alerts without human intervention. From detection to remediation in seconds, not hours.

Root Cause Analysis

Stop guessing. AI analyzes logs, metrics, and traces to pinpoint exactly why your service failed.

Alert Noise Reduction

Turn 200 alert storms into 1 actionable insight. Automatic deduplication and correlation across your stack.

Proactive Troubleshooting

Catch problems before your customers do. Pattern detection identifies anomalies early and suggests fixes.

Works With Your Stack

Prometheus, Kubernetes, Linux, PagerDuty, Slack, Datadog, and more. Plug into your existing toolchain.

Your Data, Your Servers

100% self-hosted. No telemetry, no external calls. Run with local LLMs for air-gapped environments.

Built for Engineers

No training required. Clean UI that shows what matters: incidents, runbooks, and agent activity.

15-Minute Setup

One docker compose command. Connect your alerts. Watch the AI learn your environment immediately.

Bring Any LLM

OpenAI, Claude, Gemini, Llama, Mistral. Swap providers anytime. No code changes, no lock-in.

Built for Your Reality

Real scenarios where Akmatori transforms how teams handle incidents

On-Call Engineer

Sleep Through the Night

Before

Woken at 3 AM for a disk space alert that just needed a log rotation

After

AI handles routine remediation. You only wake up for real outages.

SRE Team Lead

End Alert Fatigue

Before

Team burned out from 500+ weekly alerts, most are false positives

After

Intelligent correlation cuts noise by 90%. Engineers focus on real issues.

Platform Engineer

Kubernetes on Autopilot

Before

Hours spent debugging pod crashes and resource contention manually

After

AI diagnoses cluster issues, suggests fixes, and executes runbooks.

Startup Ops

Enterprise SRE Without the Headcount

Before

One person managing production with no budget for a full SRE team

After

AI multiplies your capacity. Ship features instead of firefighting.

Real-World Use Cases

See how SRE teams use Akmatori to transform their incident response

3 AM Alert Triage

Scenario: CPU spike alert fires at 3 AM

Before

Engineer wakes up, SSHs into servers, runs diagnostics manually, 45 min MTTR

With Akmatori

Akmatori auto-triages, identifies runaway process, restarts service, posts RCA to Slack in 90 seconds

97% faster resolution

Alert Storm Management

Scenario: Deployment causes 200+ alerts across services

Before

Team scrambles to correlate alerts, pages escalate, incident chaos

With Akmatori

Akmatori deduplicates, correlates to single root cause, suggests rollback

200 alerts to 1 actionable insight

Recurring Incident Automation

Scenario: Same disk space alert fires weekly

Before

Engineer logs in, clears logs, documents, 20 min each time

With Akmatori

Akmatori learns pattern, auto-remediates, only alerts if fix fails

Zero human time on known issues

On-Call Burnout Prevention

Scenario: SRE team handling 50+ alerts/week

Before

Engineers exhausted, high turnover, knowledge loss

With Akmatori

Akmatori handles 80% of alerts autonomously, humans focus on complex issues

Reclaim your engineers' sleep

How Akmatori Compares

See why SRE teams choose Akmatori over traditional approaches

Feature	Akmatori	DIY Scripts	Traditional ITSM	Enterprise AIOps
Setup time	15 minutes	Weeks to months	Days to weeks	Days to weeks
Self-hosted option
AI-powered diagnostics
Auto-remediation		Manual scripts		Limited
Any LLM provider
No vendor lock-in
Open source		Depends
Cost	Free	Engineering time	$$	$$

* Enterprise AIOps includes tools like BigPanda, Moogsoft, and Dynatrace Davis. Traditional ITSM includes ServiceNow, Jira Service Management.

Simple, Transparent Pricing

Start free with self-hosting. Upgrade when you need managed infrastructure.

Community

Freeforever

Self-hosted, full-featured, no limits

Unlimited incidents
Unlimited agents
All LLM providers
Full API access
Community support
Apache 2.0 license

Deploy Now

Cloud

$49per month

Managed hosting, zero maintenance

Everything in Community
Managed infrastructure
Automatic updates
99.9% uptime SLA
Email support
Up to 5 team members

Join Waitlist

Enterprise

Custompricing

For large-scale deployments

Everything in Cloud
Dedicated infrastructure
SSO/SAML integration
Priority support
Custom SLAs
Deployment assistance

Contact Sales

All plans include full source code access. Your data stays yours.

Frequently Asked Questions

Everything you need to know about getting started with Akmatori

Open-source AI Agents for Incident Management

Get Started in 60 Seconds

Built for Engineers

AI Agent Investigation Demo

What is Akmatori?

Key Features

Automated Incident Response

Root Cause Analysis

Alert Noise Reduction

Proactive Troubleshooting

Works With Your Stack

Your Data, Your Servers

Built for Engineers

15-Minute Setup

Bring Any LLM

Built for Your Reality

Sleep Through the Night

End Alert Fatigue

Kubernetes on Autopilot

Enterprise SRE Without the Headcount

Real-World Use Cases

3 AM Alert Triage

Alert Storm Management

Recurring Incident Automation

On-Call Burnout Prevention

How Akmatori Compares

Business Impact That Matters

Built for Production

Integrates With Your Stack

Enterprise-Grade Security

SOC 2 Ready

Self-Hosted

SSO & RBAC

Audit Logs

GDPR Compliant

Built for Enterprise

Multi-Tenant Architecture

Priority Support

Private Deployments

Custom SLAs

Join the Community

Simple, Transparent Pricing

Community

Cloud

Enterprise

Frequently Asked Questions

Is Akmatori really free?

How long does it take to set up?

Will the AI make changes to my production systems?

What LLM providers do you support?

How does Akmatori handle sensitive data?

Can I integrate with my existing tools?

Ready to cut your MTTR by 80%?