agenttrail vs openllmetry
Local coding-agent activity and LLM application telemetry compared
agenttrail shows local file changes and supported coding-agent activity in project maps and a 3D task view. openllmetry instruments LLM applications with OpenTelemetry traces and metrics, for inspection in an existing telemetry stack. They differ mainly in what they observe: agenttrail focuses on coding work, while openllmetry focuses on application and model activity.
agenttrail: Observe AI Coding Agent Work Locally
Agenttrail is a local observability tool for AI coding agents, with a project map and a 3D task view built on Three.js. It watches available local files, plans, and agent activity without running or coordinating agents.
openllmetry: Observe LLM Applications with OpenTelemetry
OpenLLMetry adds OpenTelemetry-based tracing and metrics for LLM applications, providers, frameworks, and vector databases. It suits teams that want AI-specific observability in their existing telemetry stack rather than a separate monitoring format.
| agenttrail | openllmetry | |
|---|---|---|
| Language | JavaScript | Python |
| License | MIT | Apache-2.0 |
| Stars | 913 | 7.5k |
| Forks | 65 | 1.1k |
| Last analyzed | Oct 19, 2026 | Oct 3, 2026 |
Key differences
- agenttrail presents project components, file activity, plans, and tasks; openllmetry instruments LLM providers, frameworks, vector databases, and other application components.
- agenttrail runs local browser views bound to 127.0.0.1, with no account or cloud service required; openllmetry exports telemetry to a configured OpenTelemetry-compatible destination.
- agenttrail is written in JavaScript; openllmetry is written in Python.
- agenttrail is licensed under MIT; openllmetry is licensed under Apache-2.0.
- agenttrail is aimed at developers following coding-agent work; openllmetry serves LLM application developers and teams using an existing observability stack.
- agenttrail reports 716 stars and 54 forks; openllmetry reports 7.5k stars and 1.1k forks.
Choose agenttrail if you…
- want a local view of project file changes and supported coding-agent activity.
- need to compare observed file activity with a project plan or available tasks.
- prefer browser views that do not require a cloud service or account.
Choose openllmetry if you…
- need LLM-specific traces and metrics in an OpenTelemetry-compatible observability system.
- want to inspect model-provider and vector-database activity alongside application telemetry.
- use Python and need instrumentation for providers, frameworks, or databases in your application.
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.