During the incident
Ask what the checkout Lambda logged in the last hour and get the errors from Logs Insights with the query that found them.
Logs, metrics and alarms from AWS, answered in plain English with the query that found them.
Connect a read-only IAM user and the model can find log groups, run Logs Insights queries, tail a group for a pattern, pull a metric time series and tell you which alarms are firing. Useful during incidents and for scheduled checks.
Ask in plain English from chat, your editor, a scheduled job or your own agent. The model picks the right AWS CloudWatch tool, reads what it needs, and answers with the source cited.
Ask what the checkout Lambda logged in the last hour and get the errors from Logs Insights with the query that found them.
A job asks every morning which alarms fired overnight and posts the answer to a saved chat.
Questions people ask once AWS CloudWatch is connected. In agent mode each one also checks the other systems that know about the same people, companies or identifiers.
Teams that get the most from AWS CloudWatch in Memtro, with the rest of their stack attached.
A record in AWS CloudWatch is rarely the whole story. Connect the systems that hold the rest and the agent cross-references them by default, then remembers what it learned so the next question starts further along.
Chat in the dashboard, the OpenAI-compatible API, scheduled jobs, and any MCP client: Claude Code, OpenCode, Cursor, Claude Desktop. The AWS CloudWatch tools are the same everywhere.
Clients and agents →Seven-day free trial, then one monthly price per organisation. Connectors, jobs and memory are never metered.