Calmo

Agent-native SRE platform that runs autonomous incident response, root cause analysis, and postmortems across your existing observability stack.

Paid· 14-day free trial; pricing on requestAgentsMulti-model (Claude, GPT, Gemini, BYO)

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Best for

Pick Calmo if you run a busy on-call rotation with real observability tooling and want an agent that triages incidents and drafts postmortems before a human logs in.

Skip if

Skip it if you're a solo developer, a small team without proper monitoring, or you need a transparent open-source incident bot you can self-host on day one.

Calmo is an AI agent built for site reliability engineers and on-call teams that takes over the grunt work of incident response. When an alert fires, it autonomously forms hypotheses, then tests them in parallel against your real production telemetry: logs, metrics, deployments, and source code. The output is a triaged alert with a working theory of what broke, not just a Slack ping at 3am. It also handles adjacent SRE chores like postmortem drafting, migration planning, alert triage, and performance investigations.

The pitch is that it slots into the tools you already pay for rather than replacing them. Integrations include PagerDuty, Slack, Datadog, Grafana, SigNoz, GitHub, Kubernetes, and the major clouds (AWS, GCP). Under the hood it is model-agnostic: it can route to Claude, GPT, or Gemini, and customers on stricter deployments can bring their own model. Pricing is not public; a 14-day free trial is offered and serious deals look like a sales conversation. It's aimed at mid-to-large engineering orgs feeling MTTR pain, not solo developers.

The knowledge-management angle is the more interesting bet: every investigation becomes searchable institutional memory, and custom playbooks/SOPs steer how the agent reasons. That makes it more compelling for teams with mature runbooks than for shops still writing their first one.

Editor's take

Calmo is one of the more credible SRE-agent plays we've seen: the parallel-hypothesis framing is the right mental model for incident work, and being model-agnostic with BYO-model is a smart hedge for enterprise buyers. We'd want to see public pricing and an API reference before recommending it beyond a pilot.

— The AI Tool Bible editorial team