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Laminar

Open-source observability platform purpose-built for AI agents

PlatformWebfreemiumglobal

An open-source observability platform built for AI agents, providing agent-focused tracing, evaluation, and analytics to capture multi-step agent behavior that generic LLM logging misses. Intended for teams running production AI agents, it can be self-hosted or used in the cloud and is backed by Y Combinator and released under the Apache-2.0 license; it is not aimed at projects limited to single-turn LLM calls.

Categories
ai agent observabilityllm evaluationai infrastructure

Full match profile

Behind the summary, Matchbox keeps a richer profile of Laminar - the signals our matcher actually reads to decide when to surface it. It stays private; claim the listing to see and control it.

  • Problem & pain-point mapping
  • Who we surface it to (audience fit)
  • What it's a strong alternative to
  • Trust & credibility signals

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