Akmatori vs Resolve AI
Akmatori
akmatori.com
Resolve AI
resolve.aiSide by side
| Figure | Akmatori | Resolve AI |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | Yes | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 2 | 1 |
| Spec score · AI DevOps Assistants | 9.1 (#1) | 7.0 (#24) |
| Deployment | Akmatori can be deployed with Docker Compose or Helm, including fully on-premises with local models for air-gapped setups. | The security page describes shared multi-tenant and dedicated single-tenant cloud deployment models; dedicated deployment supports bring-your-own keys. |
Plans
In their own words
Akmatori
Akmatori turns production alerts into AI-assisted incident response workflows for SRE, platform, and DevOps teams. Its agents collect logs, metrics, deployment context, and runbook knowledge to investigate incidents and suggest next actions. Alerts can come from Alertmanager, PagerDuty, Grafana, Datadog, and Zabbix, while Slack channels can also be monitored. Agents access infrastructure through SSH, Kubernetes, scripts, and API clients. Proposed risky actions require approval in the web interface or Slack before execution. Akmatori supports OpenAI, Anthropic, Google, OpenRouter, NVIDIA NIM, MiniMax, and OpenAI-compatible endpoints, including on-premises models. Recurring investigations can run as cron jobs with configured prompts and tool allowlists, posting results to Slack. Deployment uses Docker Compose or Helm and can be fully on-premises for air-gapped setups. The maker says incident data stays in the customer’s infrastructure unless an external provider is configured. The Apache 2.0 project provides a REST API with documented incident operations, authentication, webhooks, and OpenAPI 3.0.