Laminar

Name: Laminar
Brand: Laminar
Price: 30 USD

Verified

Debug AI agent runs, detect production failures at scale

AI Agents Developer Tools Debugging AI Observability

Visit Website

FreemiumVisit Website

Tracked since2026

The Bottom Line

Best for

Teams shipping long-running agents who need to understand why their agents fail.it's

Entry price

Free plan available, paid tiers above

Biggest pro

Finds failures buried deep in long agent runs

Biggest con

Teams whose main need is prompt versioning and prompt-management workflows, or simple single-call LLM apps

TL;DR - Laminar

See every step your agent took - LLM calls, tools, sub-agent handoffs
Signals detect and cluster failures across all your agent runs
Apache-2.0 licensed, self-hostable, SOC 2 Type II and HIPAA compliant

Pricing: Free plan available

Best for: Teams shipping long-running agents who need to understand why their agents fail.it's

Top Pros

Signals detect issues in your agent traces and clusters group similar events so…
Raw SQL queries over traces and spans from the UI, CLI, and MCP server
OpenTelemetry-native Python and TypeScript SDKs

Top Cons

Teams whose main need is prompt versioning and prompt-management workflows, or simple single-call LLM apps

What is Laminar?

Editorial review

Laminar is an open-source observability platform for AI agents - built to debug long multi-agent runs and detect failures in production at scale. It records every run as a readable transcript: every LLM call, tool call, sub-agent handoff, token and cost, so you can see what your agent did and where it went wrong. Describe a failure in plain language and Signals reads every trace, finds each case, and groups similar ones into the top failure patterns across thousands of runs. Run it on new traces to catch problems before users hit them, or over traces you already have. Query everything in plain SQL from the UI, CLI, or MCP server. Apache-2.0 licensed, self-hostable, SOC 2 Type II and HIPAA compliant, built on OpenTelemetry.

Available on: Web, CLI, API

LCLouis CorneloupUpdated Sep 17, 2026 · how we evaluateSourcelaminar.sh ↗

Pros & Cons

Pros

Finds failures buried deep in long agent runs
Stores each unique message once, so you pay less
Query your traces in plain SQL from the UI, CLI, or MCP server, so your coding agents can dig through them alongside you

Cons

Teams whose main need is prompt versioning and prompt-management workflows, or simple single-call LLM apps

Preview

Key Features

Signals: plain-language failure detection that clusters recurring patternsRaw SQL queries over your data from the UI, CLI, and MCP serverOpenTelemetry-native Python and TypeScript SDKsPII redactionFull-text search across span inputs, outputs, and attributesBrowser session recording for browser-based agents

Pricing Plans

Pricing checked Sep 17, 2026

Free

1 GB data, no overage
$5 in Signals credits
7 day retention
1 project, 1 seat
Community support

Starter

$30/month

3 GB data included, then $2 / GB
$15 in Signals credits
30 day retention
Unlimited projects, seats
Email support

Pro

$150/month

10 GB data included, then $1.50 / GB
$50 in Signals credits
6 month retention
Unlimited projects, seats
Slack support

Self-hosted

Free

Unlimited
Self-managed
Unlimited
Unlimited
Community support

Calculate your cost View full pricing

How Laminar's pricing compares

At $30/mo, Laminar is the most affordable of its 2 direct competitors.

Laminar

$30

Langfuse

$59

Helicone

$100

Entry paid plan, monthly. Pricing checked Sep 17, 2026.

Reviews

Improve Your Thinking Patterns Using ChatGPT cover

$99Free with your review

Review Laminar, get a free AI guide

Share your experience and we will send you Improve Your Thinking Patterns Using ChatGPT, free.

Write a review

Best Laminar Alternatives

Top alternatives based on features, pricing, and user needs.

View full list →

PrefactorFree

Real-time agent evaluation and automated guardrails for production AI

3.0

Orq.aiPaid

The Generative AI Collaboration Platform for building and operating production-grade GenAI systems.

HeliconeFreemium

Build reliable AI apps with Helicone: AI Gateway & LLM Observability for debugging, routing, and analysis.

AgentOpsFreemium

Monitor, evaluate, and improve your AI agents with comprehensive observability.

LangSmithFreemium

Debug, monitor, and optimize your LLM applications and AI agents with comprehensive observability.

LangWatchFreemium

The #1 AI engineering platform to stress-test your AI agents pre- and in production.

LangfuseFreemium

Open Source LLM Engineering Platform for debugging and improving your LLM application.

See all AI agents tools →

Still deciding?

Most buyers shortlist 2 or 3 tools before committing. Pull a side-by-side comparison or browse the full alternatives shortlist below.

All Laminar alternatives7+ tools ranked, pricing + verdict per pick Laminar vs PrefactorHead-to-head: features, pricing, who wins Laminar vs Orq.aiHead-to-head: features, pricing, who wins Laminar vs HeliconeHead-to-head: features, pricing, who wins

Explore More

Best AI Agents Tools Best Developer Tools Best Debugging Tools Best AI Observability Tools Best Free AI Agents Best Free Developer Tools Best Free Debugging Best Free AI Observability

Laminar FAQ

Is Laminar free?

Yes. Laminar is Apache-2.0 licensed and can be self-hosted at no cost via Docker or Helm. Laminar Cloud has a free tier at $0/month with 1 GB of trace data, 7-day retention, one project and one seat. Paid plans start at $30/month (Starter, 3 GB, 30-day retention) and $150/month (Pro, 10 GB, 6-month retention), both with unlimited projects and seats.

Who is Laminar best for?

Teams running long-running or multi-agent systems in production who need to answer "why did my agent do that?" It is strongest when traces are long and branching, with many tool calls and sub-agent handoffs.

What are Signals in Laminar?

A Signal is an instruction written in plain language, paired with a JSON schema for its structured output. Laminar runs it against every trace matching its trigger and reads the entire execution: every LLM turn, tool call, subagent, retry and error, from the first span to the last - emitting a structured event when it finds what you described. Signals run as triggers on new traces for live metrics and alerts, or as jobs across historical traces. Similar events are grouped into clusters so the top failure patterns surface across thousands of runs.

Why is Laminar cheaper at high trace volume?

Agents re-send the entire conversation on every turn, so naive storage duplicates the same context hundreds of times within a single run. Laminar stores each unique message once and reconstructs traces on read, giving an average 20x reduction in stored volume and up to 50x on the longest runs. Billing is per GB of unique data with no seat fees, so cost tracks distinct content rather than span or trace count.

Is Laminar SOC 2 compliant?

Yes. Laminar is SOC 2 Type II and HIPAA compliant, with automatic PII redaction applied before data is stored.

Source: laminar.sh

Guides & Articles

Best AI Knowledge-Work Agents in 2026

Expert guide

The Best Open-Source AI Agents in 2026

Expert guide

Best Computer-Use & Browser AI Agents 2026

Expert guide