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 an Apache 2.0 open-source project. You can inspect the code, run it on your own infrastructure using Docker or Kubernetes, and keep 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 ingests alerts from Prometheus Alertmanager, Grafana, Datadog, Zabbix, and PagerDuty, and can monitor Slack channels. AI agents reach your infrastructure through real tools such as SSH and Kubernetes to diagnose issues.

November 8, 2026

Akmatori vs Robusta: Choosing an AI SRE Platform in Late 2026

Akmatori vs Robusta: AI SRE After the Freshworks Deal

Robusta is an AI SRE platform with deep Kubernetes roots. It groups alerts into incidents and investigates them with Holmes, the engine behind the open-source HolmesGPT. Akmatori does a similar job: alerts come in, an agent investigates, and the root cause goes to Slack. On October 28, 2026, Freshworks announced it acquired Robusta to bring it into Freshservice, which changes the calculation for teams choosing a platform now.

We build Akmatori. Robusta facts below come from home.robusta.dev, the Robusta repository and the Freshworks announcement, as of November 2026.

At a Glance

	Robusta	Akmatori
Open source part	`robusta` engine (MIT): Prometheus alert enrichment, grouping, playbooks for Kubernetes	Whole product (Apache-2.0): intake, agent, UI, Slack, memory
AI investigation	Holmes, in the Robusta platform	Built into the open-source build
Deployment	SaaS, your VPC, or self-hosted with your own LLM key	Self-hosted with Docker Compose
Focus	Kubernetes first	Mixed estates: Kubernetes, Linux hosts, Zabbix, NetBox
Alert sources	Alertmanager, Grafana, Datadog, CloudWatch, PagerDuty, Splunk, Sentry, webhooks, MCP	Alertmanager, Grafana, PagerDuty, Datadog, Zabbix, Slack channels, cron jobs
Outputs	Slack, Teams, Discord, Telegram, Jira, ServiceNow and more	Web UI, Slack; Telegram and Discord for posting
Write actions	Read-only by default; remediation is opt-in	Read-only SSH by default; risky actions become proposals approved in UI or Slack
Pricing	Quote only; the site's calculator assumes $2.50 per investigation	Free; you pay for your own model usage
Owner	Freshworks (since October 2026)	Akmatori team, powered by Gcore

Where Robusta Is Stronger

Kubernetes depth. Robusta has worked on Kubernetes alerting for years. Its open-source engine enriches Prometheus alerts with pod logs, events and graphs, and its playbooks automate common responses.

Integrations and outputs. Robusta sends incidents to more destinations than Akmatori, including Teams, Jira, ServiceNow, incident.io, Rootly and FireHydrant, and it reads alerts from CloudWatch and Sentry.

The team behind Holmes. Robusta's engineers created HolmesGPT. They know the investigation engine better than anyone. Robusta also has SOC 2, and it describes an incident-learning feature that improves results over time.

Where Akmatori Is Stronger

The full product is open source. In Robusta, the open-source engine is rule-based, and the AI assistant and timeline come with the Robusta platform. In Akmatori, the agent, the dashboard, Slack, approvals, runbooks and memory are all in the Apache-2.0 build you run yourself.

Beyond Kubernetes. Akmatori treats Linux hosts as first-class. It has read-only SSH, Zabbix, NetBox and VictoriaMetrics tools, so the same agent investigates a crashing pod and a full disk on a bare-metal database.

Predictable cost. Akmatori has no per-investigation fee. You pay your model provider, or nothing extra if you host the model. SRE Bench publishes the measured cost per solved incident for each model; in the August 2026 edition, several models found the root cause in all 12 incidents for less than $0.10 each.

Independence from an ITSM suite. After the acquisition, Robusta becomes part of Freshservice and connects with FireHydrant. The announcement says nothing about standalone customers. If your incident process is not built around Freshworks, check Robusta's roadmap before you commit. Akmatori does not depend on any ITSM vendor.

What the Acquisition Means

We do not know Freshworks' plans beyond the announcement, and neither does anyone outside the companies. What is known: Robusta will be integrated into Freshservice and connected to FireHydrant, terms were not disclosed, and nothing was said about HolmesGPT or about standalone Robusta customers. HolmesGPT itself is a CNCF Sandbox project with its own repository. For the engine on its own, see Akmatori vs HolmesGPT.

How to Choose

Choose Robusta if:

You run Kubernetes almost exclusively and want years of Kubernetes alerting experience.
You use, or plan to use, Freshservice and FireHydrant.
You need its broader list of outputs, such as Teams or ServiceNow.

Choose Akmatori if:

You want the complete product open source, on your own servers, without a per-investigation price.
You run Linux hosts, Zabbix or NetBox next to Kubernetes.
You want to stay independent of an ITSM suite.

Conclusion

Robusta is a mature Kubernetes-first AI SRE platform that is now part of Freshworks. Akmatori is an open-source agent for mixed infrastructure with no per-investigation cost. If you are evaluating both, connect the same Alertmanager to each and compare the answers on your own incidents. The Alertmanager guide shows the Akmatori side in a few minutes.

If your team wants AI-assisted incident workflows on your own infrastructure, Akmatori helps SRE teams investigate alerts, coordinate response, and automate safe infrastructure actions. Powered by Gcore for global infrastructure reliability.

Akmatori team