Akmatori vs Kestrel

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.

Kestrel uses AI agents to automate incident response, cloud provisioning, CI/CD, security, and developer requests for platform engineering. Teams can build workflows with natural language, a visual editor, the CLI, Python SDK, or MCP. After configuration, workflows execute their defined code without a model in the runtime loop. Kestrel offers more than 40 integrations, plus custom HTTP APIs and webhook triggers. It detects Kubernetes, cloud infrastructure, and application incidents, including CrashLoopBackOff, OOMKilled, failed rollouts, IAM changes, and cost anomalies. Deployment options include cloud and self-hosted software, including air-gapped environments on AWS, GCP, Azure, and OCI. Security controls include SAML/OIDC SSO, MFA, workflow-level RBAC, approval gates, and immutable audit logs. Kestrel says tenant data is isolated, customer data is not used to train AI models, and integrations are read-only by default. Its 14-day trial needs no credit card and includes up to 100 workflow executions per day, one Incident Response unit, and up to 10 Cloud AI Copilot chats per day. An always-free plan is listed; Cloud AI Copilot is $100 a month and Incident Response is $200 a month.