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Laminar

Open-source observability platform purpose-built for AI agents

★ 3,101 GitHub Apache-2.0 ai-observabilityobservabilityai-agentsllmopsmonitoringopen-telemetryevaltracingdeveloper-toolsself-hosted AI Agents

Overview

Laminar is an open-source observability platform purpose-built for AI agents. Built on OpenTelemetry, it provides native tracing, signals, evals, and real-time dashboards for monitoring and debugging AI agent workflows. With both MCP and CLI access, you can track every step of your agent's execution, set up evaluations, and gain deep visibility into LLM calls, tool usage, and performance metrics. Self-hosted with Docker, backed by Rust for performance.

Requirements

Min vCPU
2
Min RAM
4096 MB
Min Disk
10 GB
Rec vCPU
4
Rec RAM
8192 MB
Rec Disk
20 GB

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Affiliate disclosure

Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  laminar:
    image: laminar/laminar-node:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/laminar:/data

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Guides & articles

How to Monitor AI Agents with Laminar: Step-by-Step Tutorial

A hands-on tutorial for setting up Laminar to monitor your AI agents — from Docker deployment to tracing, evaluations, and dashboard insights.

Jul 20, 2026

Laminar Guide: Open-Source Observability for AI Agents

A comprehensive guide to Laminar — an open-source observability platform purpose-built for AI agents with OpenTelemetry-native tracing, evals, and real-time dashboards.

Jul 20, 2026