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Laminar is an open-source observability platform designed for AI agents.

🌍 OverseasFreeOpen source
Platforms: WebSelf-hosted
Region
Overseas
Pricing
Free
Open source
Yes
GitHub Stars
★ 3.0k
Source
GitHub
Added
2026-06-07
Last verified
2026-06-07
lmnr

Overview

Laminar is an open-source observability platform specifically designed for AI agents, aiming to address challenges in tracing, evaluating, and monitoring AI applications. With powerful tracing SDKs, evaluation tools, and AI monitoring capabilities, it helps developers better understand and optimize their AI systems. Ideal for development teams that need deep analysis and continuous improvement of their AI applications.

Key features

  • OpenTelemetry-native tracing SDK
  • Supports evaluation runs locally or in CI/CD
  • Event tracking defined via natural language
  • Built-in SQL editor for data querying
  • High-performance Rust-based real-time engine

Use cases

AI application performance tracingModel evaluation and comparisonReal-time monitoring and alertingCustom dataset creation

Pros

  • Easy to integrate and use
  • Comprehensive and powerful features
  • Supports multiple AI providers
  • High-performance real-time processing

Limitations / notes

  • Requires some technical expertise
  • Some advanced features require configuration

Who it's for

AI developersData scientistsDevOps engineersResearch teams

This overview was compiled by AI from public sources and may contain inaccuracies — please refer to the official site.

FAQ

How do I get started with Laminar?

Access the managed platform at laminar.sh, or self-host using Docker Compose.

Which AI providers does Laminar support?

Supports Gemini, OpenAI, and other OpenAI-compatible gateways.

Something wrong? Let us know on the About page and we'll fix it.