Observability & Monitoring

Laminar

Open-source observability platform for AI agents

Status
Generally available
Last checked
Checked · Oct 15, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

Laminar is an open-source observability platform designed specifically for monitoring and evaluating AI agents. It provides insights into the performance, reliability, and behavior of AI systems.

Laminar stands out as the only open-source platform specifically designed for monitoring and evaluating AI agents, offering deep insights into model performance and behavior.

When it fits — and when it doesn’t

A good fit for

  • Teams deploying complex AI systems that require detailed monitoring and evaluation

  • Data science teams needing to visualize and analyze the performance of their models in real-time

  • Organizations looking for an open-source solution to monitor multiple AI agents

Look elsewhere if

  • Projects requiring a fully managed observability service without self-hosting capabilities

  • Teams preferring proprietary solutions with extensive commercial support

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Complex setup and configuration

    Requires detailed configuration files and environment setup steps

What it does well

  • Real-time monitoring of AI agent performance

  • Detailed metrics and logging for model evaluation

  • Customizable dashboards for visualizing AI behavior

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up Laminar

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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