agent-observability vs agenttrail

Local observability for AI coding agents compared

agent-observability and agenttrail both help developers inspect AI coding-agent activity locally. agent-observability collects telemetry into a self-hosted monitoring stack, while agenttrail presents local project and task activity in browser-based Map and Kitchen views.

agent-observabilityagenttrail
LanguageGo TemplateJavaScript
License—MIT
Stars14913
Forks165
Last analyzedOct 4, 2026Oct 19, 2026

Key differences

  • agent-observability routes OpenTelemetry metrics, logs, and traces to Prometheus, Loki, and Tempo; agenttrail observes local files, plans, and available agent activity.
  • agent-observability provides Grafana dashboards for usage, performance, and activity; agenttrail offers a project map and an experimental 3D task view built with Three.js.
  • agent-observability supports Docker Compose, Kubernetes with Kustomize, and Helm deployments; agenttrail runs its Map and Kitchen views as separate local services.
  • agent-observability is written in Go Template, while agenttrail is written in JavaScript.
  • agenttrail is MIT licensed; agent-observability's supplied metadata reports 14 stars and 1 fork, while agenttrail reports 913 stars and 65 forks.

Choose agent-observability if you…

  • need centralized metrics, logs, and traces for Claude Code or OpenAI Codex.
  • want Grafana dashboards and can operate Prometheus, Loki, Tempo, and the collector yourself.
  • plan to deploy through Docker Compose, Kubernetes with Kustomize, or Helm.
Read the agent-observability analysis →

Choose agenttrail if you…

  • want a local project map connecting a PLAN.md outline with observed file changes and dependencies.
  • want to inspect available tasks and agent contributions in a 3D browser view.
  • need local file observation without launching or controlling agents, including when native session data is unavailable.
Read the agenttrail analysis →

Compare the numbers side by side, or add more projects

This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.