Calmo

Calmo is an agent-native SRE platform that delegates complete operational tasks such as incident response, root cause analysis, alert triage, migrations, postmortem generation, and performance optimization. It is built for DevOps and SRE teams that want AI agents to handle routine operations and troubleshooting without changing their existing workflow. Calmo works everywhere the team already does, on macOS, Linux, or Windows.

Calmo analyzes every alert and builds initial theories before a team starts investigating, pursuing multiple hypotheses simultaneously and checking each against real production signals rather than chasing one theory at a time. It connects to a company's infrastructure, learning from logs, metrics, tickets, code, and deployments to maintain a real-time understanding of what is happening, and every investigation becomes searchable knowledge for the rest of the team.

Calmo integrates with tools such as Kubernetes, Datadog, Grafana, SigNoz, GitHub, Sentry, PagerDuty, Slack, Notion, Databricks, Redshift, S3, and Langfuse, covering more than 154 specialized tools across 13 major platforms. Users can upload their own playbooks and SOPs for Calmo to reference during investigations, and the platform can generate remediation plans with code snippets and pull requests, letting any engineer resolve production issues rather than only senior staff.

Calmo never trains its models on customer data and stores all information securely in Europe, with full transparency through its Trust Center. Customers can bring their own AI models for complete control over data and inference, or host Calmo entirely on premise within their own infrastructure. Calmo offers a 14-day free trial, and its DevOps agents are installed on macOS, Linux, or Windows.

Use cases

• Reducing alert noise so teams focus on real issues
• Enabling any engineer to resolve production issues
• Cutting MTTR by validating multiple theories in parallel
• Debugging across distributed systems and cloud providers