agent-observability vs ai-observer

Self-hosted observability for AI coding assistants compared

agent-observability and ai-observer both provide local visibility into AI coding assistant activity using OpenTelemetry and dashboards. agent-observability uses a Prometheus, Loki, Tempo, and Grafana stack, while ai-observer centers on a Go binary with DuckDB and also supports importing or watching session files.

agent-observabilityai-observer
LanguageGo TemplateGo
License—MIT
Stars14279
Forks126
Last analyzedOct 4, 2026Oct 19, 2026

Key differences

  • agent-observability routes metrics, logs, and traces to Prometheus, Loki, and Tempo; ai-observer stores data in DuckDB and can export telemetry to Parquet.
  • agent-observability offers Docker Compose, Kubernetes with Kustomize, and Helm deployment paths; ai-observer runs as a single Go binary.
  • agent-observability focuses on Claude Code and OpenAI Codex; ai-observer covers more assistants, with file-based support for Claude Code, Codex CLI, and Gemini CLI and OTLP support for GitHub Copilot and OpenCode.
  • agent-observability provides Grafana dashboards; ai-observer provides a dashboard with real-time updates, configurable widgets, REST query endpoints, and a WebSocket.
  • ai-observer reports a Go implementation, an MIT license, 279 stars, and 26 forks; agent-observability reports Go Template, 14 stars, and 1 fork.

Choose agent-observability if you…

  • need Grafana dashboards backed by Prometheus, Loki, and Tempo.
  • want deployment options for Docker Compose, Kubernetes, or Helm.
  • focus on Claude Code and OpenAI Codex telemetry in infrastructure you operate.
Read the agent-observability analysis →

Choose ai-observer if you…

  • want a single-binary setup with local DuckDB storage.
  • need to import or watch historical session files from Claude Code, Codex CLI, or Gemini CLI.
  • want usage and estimated cost tracking across supported assistants.
Read the ai-observer 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.