Laminar

Name: Laminar
Brand: Laminar
Price: 30 USD

Claimed

Debug AI agent runs, detect production failures at scale

From $30/mo, billed monthly (free plan available)

Freemium Developer Tools AI Observability AI Agents Debugging

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Tracked since 2026

The Bottom Line

Updated Oct 20, 2026

Best for: Teams shipping long-running agents who need to understand why their agents fail.it's
Price: From $30/mo, billed monthly (free plan available). Compare plans

Key facts

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

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

What is Laminar?

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

Data compiled by Toolradar Pricing checked Oct 20, 2026 · How we evaluate

Source laminar.sh

Preview

Key Features

Signals: plain-language failure detection that clusters recurring patterns
Raw SQL queries over your data from the UI, CLI, and MCP server
OpenTelemetry-native Python and TypeScript SDKs
PII redaction
Full-text search across span inputs, outputs, and attributes
Browser session recording for browser-based agents

Pricing Plans

Pricing checked Oct 20, 2026. Source: laminar.sh/pricing, read Oct 20, 2026

Laminar plans and prices, checked October 2026
Plan	Price	Details
Free	$0	1 GB data, no overage $5 in Signals credits 7 day retention +2 more Show less 1 project, 1 seat Community support
Starter	$30/month	3 GB data included, then $2 / GB $15 in Signals credits 30 day retention +2 more Show less Unlimited projects, seats Email support
Pro	$150/month	10 GB data included, then $1.50 / GB $50 in Signals credits 6 month retention +2 more Show less Unlimited projects, seats Slack support
Self-hosted	$0	Unlimited Self-managed Unlimited +2 more Show less Unlimited Community support

Calculate your cost View full pricing

Full Laminar pricing: every plan and alternatives

How Laminar's pricing compares

At $30/mo, billed monthly, Laminar is the most affordable of its 3 comparable direct competitors.

Laminar

$30

LangSmith

$39

Langfuse

$59

Helicone

$100

Entry paid plan, monthly price, billed monthly. Pricing checked Oct 20, 2026.

Laminar by the numbers

Toolradar data: Laminar's entry paid plan ($30/mo, billed monthly) ranks #2 of 15 for price among the AI Observability tools with a verified entry price and no stated unit, where the median is $60/mo. As of Nov 2026.

Laminar compared with 51 AI Observability tools on Toolradar, as of Nov 2026
Metric	Laminar	Peer median	Position (1 is best)
Entry paid plan	$30/mo, billed monthly	$60/mo	#2 of 15 tools with no stated price unit, verified price
Free plan	Yes	61% have one	n/a

Each position is counted among the tools that have data for that row, as noted under it. A lower entry price ranks higher; prices are read on vendor pages and compared only with tools priced on the same basis. All AI Observability data · How we compute this. Advertising and placement fees are not inputs to any position.

Cite this: Toolradar, “Laminar by the numbers”, Nov 2026.

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Best Laminar Alternatives

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

View full list →

Orq.ai Paid

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

Helicone Freemium

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

LangSmith Freemium

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

AgentOps Freemium

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

LangWatch Freemium

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

Prefactor Free

Real-time agent evaluation and automated guardrails for production AI

Langfuse Freemium

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

See all developer 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 alternatives 7+ tools ranked, pricing + verdict per pick Laminar vs Orq.ai Head-to-head: features, pricing, who wins Laminar vs Helicone Head-to-head: features, pricing, who wins Laminar vs LangSmith Head-to-head: features, pricing, who wins

Explore More

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.

How does Laminar pricing compare with other AI Observability tools?

Laminar's entry paid plan ($30/mo, billed monthly) ranks #2 of 15 for price among the AI Observability tools with a verified entry price and no stated unit, where the median is $60/mo. Prices are read on each vendor's own pricing page and compared only with tools priced on the same basis. Source: Toolradar, Nov 2026.

Source: laminar.sh

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