Calmo
FreeDebug Production x10 Faster with AI.
About Calmo
Calmo is an Agent-Native SRE (Site Reliability Engineering) platform built to delegate complex operational tasks such as incident response, root cause analysis, alert triage, migrations, postmortem generation, and performance optimization. It integrates with a wide range of infrastructure tools (e.g., Databricks, Datadog, GitHub, Grafana, Kubernetes, Sentry, Slack) and leverages autonomous agents to investigate alerts, validate multiple hypotheses in parallel, and capture tribal knowledge for reuse. The platform includes a Playbook/SOP Library where teams can upload and reference operational procedures, enabling faster, consistent incident handling. Calmo emphasizes enterprise-grade security, ensuring that user data is never used for model training and is stored securely in Europe.
Key Features
Pros & Cons
- Autonomous alert investigation builds initial theories before human involvement
- Validates multiple hypotheses simultaneously to cut MTTR
- Captures and makes searchable all tribal knowledge from incidents
- Extensive third-party integrations for observability, alerting, and code management
- Does not train models on user data, ensuring privacy
- May require integration with existing tool stack to unlock full potential