Laminar
Open-source observability platform for AI agents
Pricing
Free tier
Flat rate
Adoption
↗RisingLicense
Open Source
Data freshness
Verified · Jul 16, 2026Overview
What is Laminar?
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.
Key differentiator
“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.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Primary support is for Python, limited official SDKs for other languages
Requires detailed configuration files and environment setup steps
Fit analysis
Who is it for?
✓ Best 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
✕ Not a fit for
Projects requiring a fully managed observability service without self-hosting capabilities
Teams preferring proprietary solutions with extensive commercial support
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Alternatives
Next step
Get Started with Laminar
Step-by-step setup guide with code examples and common gotchas.