What Laminar does
Laminar is an OpenTelemetry-native observability platform for AI agents that traces every LLM call, tool call and sub-agent in a run. Alongside tracing it provides Signals, which read each run for behaviours described in plain English and cluster the matches, plus evaluations, datasets, dashboards, and CLI and MCP access that let a coding agent query traces with SQL.
Why teams reach for it: Laminar surfaces agent failures nobody thought to instrument for - Signals read every run against behaviours described in plain English and cluster what matches - and exposes the same traces over SQL through a CLI and MCP server, so a coding agent can investigate a failure and replay the run while fixing it.
How Laminar compares
Fields the vendor doesn't document are left blank here rather than guessed — a blank means nothing verified, not a "no."
- Perspective
- Agent developer
- Instrumentation Method
- server SDK, OpenTelemetry
- Traces
- Yes
- Session Replay
- Yes
- Evaluations
- Yes
- Datasets
- Yes
- Self Hostable
- Yes
How will you trace quality and operations?
Observability & evaluation tools track how well an MCP server is performing and help catch issues once it's live.