# laminar

> Publicly sourced profile assembled by Optimly, in the Optimly AI Brand Index. Last refreshed 2026-10-04.

- **Business Profile:** https://optimly.ai/brand/laminar
- **Dataset:** https://optimly.ai/brand/laminar.json
- **Markdown:** https://optimly.ai/brand/laminar/llms.txt
- **Official website:** https://laminar.sh
- **Slug:** laminar
- **Categories:** developer-tools

## Overview

- **Tagline:** Open-source (Apache 2.0 licensed), automatically discovers agent failures without predefined rules, clusters similar failures for scale, provides comprehensive debugging tools (CLI/MCP), enables evaluations to prevent regressions, offers 20x cheaper trace storage, and is enterprise-ready with PII redaction, HIPAA & SOC 2 Type II compliance.
Source: Brand's website (https://laminar.sh) · 2026-10-04

- **Description:** Laminar is an open-source agent observability platform that helps developers ship reliable AI agents by automatically catching and helping to fix agent failures. It provides detailed trace views, failure detection signals, debugging tools, and evaluation capabilities to understand and improve agent behavior at scale.
Source: Brand's website (https://laminar.sh) · 2026-10-04

## Offerings

- **Core capabilities:**
  - AI agent observability platform with features including LLM/tool call tracing
  - automatic failure detection (Signals)
  - failure clustering
  - debugging CLI/MCP
  - evaluation datasets
  - and PII redaction.
Source: Brand's website (https://laminar.sh) · 2026-10-04

- **Pricing:** Freemium with paid tiers for enterprise features and scale.
Source: Brand's website (https://laminar.sh) · 2026-10-04

## Audience

- **Target industry:** Developers and teams building, deploying, and managing AI agents, specifically those integrating with frameworks like Vercel AI SDK, Claude Agent SDK, OpenAI Agents SDK, and LangChain.
Source: Brand's website (https://laminar.sh) · 2026-10-04

Page last updated 2026-10-17.