Maigret

Your AI software engineer for support escalations

Give your teams back the time they lose to support.

Integrates with your stack

  • Datadog
  • Elasticsearch
  • Grafana Loki
  • AWS CloudWatch
  • Slack
  • GitHub
  • GCP Logging

Every week, one of your engineers disappears from the roadmap to handle support escalations.

That's 20% of your team, every sprint, not shipping.

Maigret takes over — plugs into your engineering environment and handles escalations end-to-end, from investigation to resolution.

Collaboration

A collaborative agent, not a one-shot script

Maigret isn't some ordinary workflow that generates a diagnosis or a PR and then stops there. It's a full interactive agent with a memory. Want to follow up on its work? Reply in Slack, comment in the UI, or submit a GitHub review. Maigret gets back to work.

A GitHub review where a teammate asks Maigret to raise the password minimum to 10 characters, and Maigret updates the form, the error message, and the shared backend check.

Diagnostics

Reliable, evidence-backed diagnostics

Connecting tools to an LLM and asking it to generate a report or a pull request is easy. Getting reliable results is harder. Maigret doesn't let the model struggle on its own: it first learns about your domain and technical environment during setup, optimizes and corrects LLM context and tools, and grounds every conclusion in cited sources. And when it can't conclude, it acknowledges it — without hallucinating.

A Maigret diagnostic for an account creation error. The signup failed a password-strength check that threw a plain Error, so the request returned HTTP 500. The failing lines are highlighted in auth.service.ts.

Built for complex, real-world environments

Single, multi, or hybrid repositories. Self-hosted or cloud-based log storage. Shared, per-tenant, or per-environment infrastructure. Single or multiple log sources. Maigret adapts to a wide variety of setups.

Onboard Maigret in minutes, not days.