AI Tool
Laminar pricing, features, company info, and alternatives
A factual product page for Laminar's open-source agent observability platform.
Last updated April 2026 · Pricing and features verified against official documentation
Pricing
Current public pricing tiers on file for Laminar, last verified Apr 25, 2026.
Free
$0 / month
Includes 1 GB data, 1,000 agent steps processing, 15-day retention, 1 project, and 1 seat.
Hobby
$30 / month
Includes 3 GB data, 5,000 agent steps processing, 30-day retention, unlimited projects, and unlimited seats; then $2/GB and $0.0075 per additional agent step.
Pro
$150 / month
Includes 10 GB data, 50,000 agent steps processing, 90-day retention, unlimited projects, and unlimited seats; then $1.50/GB and $0.005 per additional agent step.
Enterprise
Custom
Includes custom limits, on-premise deployment, unlimited projects, unlimited seats, and dedicated support.
What You Can Do With It
The main capabilities that shape how people use Laminar today.
Realtime tracing captures LLM calls, tool execution, and custom functions across supported SDKs, frameworks, and OpenTelemetry pipelines.
The debugger can rerun from a selected step with previous context preserved, and Laminar also records synced browser sessions for browser agents.
Signals lets teams describe failures or outcomes in natural language, then backfill and monitor those events across traces at scale.
Built-in SQL, datasets, labeling queues, and evaluation workflows let teams query production trace data directly and turn it into eval inputs.
Best For
Who Laminar is most clearly built for.
Teams building long-running AI agents that need deeper debugging than basic prompt or span logging.
Engineering teams that want an open-source observability stack they can self-host or run in Laminar Cloud.
Browser-agent teams that need synchronized session recordings alongside traces and replay-oriented debugging.
Company
Leadership and company context for LMNR AI, Inc..
CEO
Robert Kim
Founders
Robert Kim, Din Mailibay
Headquarters
San Francisco, CA, USA
Platforms
Where you can use Laminar today.
Web
Self-hosted
Integrations
Notable connected tools and ecosystem hooks for Laminar.
OpenAI
Anthropic
LangChain
Vercel AI SDK
Browser Use
Stagehand
OpenTelemetry
Privacy Notes
Publicly stated data-handling notes that matter when evaluating Laminar.
Laminar says it may process account, usage, device, and AI-product input/output data, and its privacy policy names OpenAI, Anthropic, and Google Cloud AI as AI service providers.
Laminar can run on managed cloud or be self-hosted.
Docs say API keys are project-scoped and recommend separate projects for hard separation between prod and dev or team and customer boundaries.
Compliance
Public compliance or enterprise-governance signals we found for Laminar.
HIPAA
Access
How to integrate or build around Laminar.
Public API
Yes
Docs
Available
Alternatives
Other tools worth considering alongside Laminar.
Open-source LLM engineering platform for tracing, prompt management, evaluations, and analytics.
Framework-agnostic platform for observability, evaluation, and deployment of AI agents and LLM apps.
LLM gateway and observability platform for routing, debugging, and cost tracking across model providers.
Open-source AI observability and evaluation platform for tracing, prompt iteration, and experiments.
Product Snapshot
Laminar is an open-source observability platform for AI agents. It focuses on tracing, replay debugging, Signals-based analysis, datasets, and evaluations for production agent workflows.
What You Can Do With It
- Trace LLM calls, tool use, and custom functions in realtime across supported frameworks, SDKs, and OpenTelemetry pipelines.
- Rerun from a selected step, inspect transcript-style traces, and review synced browser session recordings for browser agents.
- Define Signals in natural language to classify failures or outcomes across historical and new traces.
- Query trace data with SQL, export results into datasets, and run evaluations locally or in CI.
Why It Stands Out
Laminar combines replay-from-step debugging, browser session capture, SQL over trace data, and open-source self-hosting in one platform built around agent workflows.
Tradeoffs To Know
- Managed pricing meters both stored data and processed agent steps, so costs can rise with heavier trace volume or Signals usage.
- Laminar’s public company history currently traces back to 2024.
- Self-hosting is available, but you need to deploy and operate the stack yourself.
- The homepage describes SOC 2 as in observation, so public compliance language is still in progress.
Sources
- laminar.sh/pricing
- laminar.sh/policies/privacy
- laminar.sh/policies/terms
- ycombinator.com/companies/laminar
- github.com/lmnr-ai/lmnr
- laminar.sh
- docs.laminar.sh
- docs.laminar.sh/platform/sql-editor
- docs.laminar.sh/sdk/reference
- docs.laminar.sh/getting-started
- docs.laminar.sh/hosting-options
- docs.laminar.sh/tracing/integrations
- docs.laminar.sh/projects/introduction
- docs.laminar.sh/evaluations/manual-evaluation