Laminar
by Laminar · Open-source tracing, evals and debugging for AI agents
57.8 — BenchRank score out of 100
Screenshots of Laminar
Homepage Pricing page
Overview
Laminar traces, evaluates and debugs AI agents. It ingests traces over OTLP from SDKs including the Claude Agent SDK, LangChain and Playwright, and Signals — error descriptions written in plain English — read each run, group matching events into named clusters and alert via Slack or email. Clusters can be turned into eval datasets, and a CLI and MCP server let a coding agent rerun and fix traces.
- Best for
- Teams building LLM agents who need tracing, failure alerts and evals in one place.
- Pricing
- Free tier, then $30/month (Starter) or $150/month (Pro) with data and Signals overage charges; Enterprise is custom.
- Runs on
- WebSelf-hostedCLI
Strengths and trade-offs
Strengths
- Open source under Apache 2.0, self-hostable via Docker or Helm
- Plain-English Signals alert to Slack when a run breaks
- Raw SQL access to platform data plus custom dashboards
- Integrations for Claude Agent SDK, LangChain, Playwright
Trade-offs
- Free tier is 1 seat, 1 project and 7 days of retention
- Data and Signals overages make the monthly bill variable
- Retention caps at 6 months below Enterprise
- Pricing page lists on-premise only under Enterprise
Pricing
Published plans from Laminar’s own pricing page, in USD. Usage charges and add-ons may apply on top.
| Plan | Monthly | Includes |
|---|---|---|
| Free | Freeflat rate |
|
| Starter | $30flat rate plus usage |
|
| Pro | $150flat rate plus usage |
|
| Enterprise | Contact sales |
|
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
- MCP support
- 60 out of 100
- API quality
- 10 out of 100
- Documentation
- 70 out of 100
- Agent friendliness
- 43 out of 100
- Pricing transparency
- 100 out of 100
- Changelog
- 100 out of 100
- Marketing site structure
- 75 out of 100
- Operational trust
- 20 out of 100
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
- Openness
- 85 out of 100
- Maintenance
- 100 out of 100
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