Git AI

Custom Agent Integration

Integrate custom or internal coding agents with Git AI telemetry collection.

Many engineering teams build their own coding agents — internal tools tailored to proprietary codebases, domain-specific workflows, or custom orchestration layers. Git AI tracks code from any agent, not just the ones with built-in support.

Add Your Agent — Full Integration Guide

How It Works

Git AI uses the git-ai checkpoint command to mark file changes as AI-authored. Any agent that calls checkpoint before and after editing a file gets full telemetry support: AI authorship tracking, prompt and session traces, model attribution, and lifecycle analytics through the Git AI for Teams dashboard.

There are two integration paths:

  • Direct integration — the agent calls git-ai checkpoint directly from its agent loop. Best for getting started quickly.
  • Hooks and custom presets — the agent exposes a hook system (like BeforeEdit / AfterEdit) and contributes a custom preset to Git AI. Best for agents that already have a hook architecture.

Both paths use the same underlying checkpoint mechanism and produce identical telemetry.

Getting Help

The core maintainers are available to help integrate custom agents. Schedule a call to get hands-on support.