Laminar - Observability and Application Monitoring Tool
Observability and Application Monitoring · Founded by Robert Kim
Open-source platform to trace, evaluate, and improve AI agents. Debug LLM calls, track tool use, and run evaluations on your AI applications.
Cost
Free trial, Paid
Rating
★ People love it
Time to value
Quick Setup (< 1 hour)
You can use Laminar to monitor and debug AI agents by tracing their execution, evaluating their performance, and analyzing failures. It provides full observability into agent behavior, captures browser recordings for web agents, extracts insights from traces using AI, and runs evaluations to catch regressions. You can query all platform data with SQL, create custom dashboards, and identify patterns in agent failures to improve performance.
What Laminar does
Pricing breakdown
Annual estimates assume continuous billing at the listed list price. Volume discounts typical above 50 seats.
Frequently asked
— Want a tailored answer?
See whether Laminar fits your stack — for real.
Techbible weighs Laminar against what you already pay for, your team shape, and the work that's actually happening. Free to start.
More in Observability and Application Monitoring
All tools →
Embrace
Mobile observability and monitoring for businesses

Amazon CloudWatch
Monitoring and observability for AWS resources and applications

Dynatrace
Dynatrace offers intelligent observability and application performance management.

Composo
Automated, customizable evaluation platform for LLM applications.
Bricks
Access to the web page is denied.

Better Stack
Uptime monitoring, incident management, and log management.

Autoblocks AI
Collaborative platform for testing, evaluating, and improving GenAI applications.

Atla AI
Evaluation and observability layer for AI agents using judge‑grade LLMs.
PostHog
LangChain
KernelApps Private Limited
Sentry
Rows
Gemini