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Turn raw log query results into structured incident reports linked to commits and tickets.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "lograft" yet — see the docs or source repo.
Transform this log query result into a Markdown incident report with a timeline, affected services, key errors, root-cause hypotheses, and links to related git commits and tickets.
A structured Markdown incident report ready for postmortems and team sharing.
Convert these raw log results into a JSON incident summary with fields for event time, alert type, related services, suspicious commits, linked tickets, and remediation suggestions.
A standardized JSON incident summary for downstream automation or dashboards.
Generate an HTML report from these log query results highlighting anomaly patterns, error clusters, impact scope, and correlations with recent code changes and tickets.
An HTML incident analysis report suitable for browser viewing and cross-team sharing.
Tail, search, filter, and summarize logs from files and Docker containers.
Start, monitor, search, and diagnose project logs to find errors fast.
Give AI read-only logs to debug Linux servers safely without shell access.
Fetch remote logs by IP, port, and path for faster troubleshooting.
Collect and analyze CLI and web server error logs using natural language.
Keep verifiable, tamper-evident audit logs of AI agent actions.