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Laminar
Open-source observability for long-running AI agents that captures LLM calls, tool use and browser actions for step-level debugging and replay.
| Category | Agent Debugging & Replay |
| OpenTelemetry-native | Yes — no proprietary-SDK lock-in |
| Open source | Yes |
| Self-hostable | Yes |
| Pricing model | freemium |
| Pricing notes | OSS self-host (Docker) free; cloud free tier + paid plans |
| Framework integrations | openai-sdk, anthropic, langchain, browser-use, playwright |
| Funding / ownership | YC S24; $3M seed (Mar 2026) |
| GitHub stars | 3,001 |
| Maintenance | active (commit 2026-06-13) |
| License (GitHub) | Apache-2.0 |
| Open issues | 108 |
| Maturity signal | 93/100 (Mature) — computed from public GitHub signals, see methodology |
Pricing/feature source: https://laminar.sh
Maturity signal is computed from public GitHub data only. How it is calculated.
Frequently asked questions
Is Laminar open source?
Yes. Licensed under Apache-2.0.
Can I self-host Laminar?
Yes — Laminar can run in your own infrastructure.
Is Laminar OpenTelemetry-native?
Yes — Laminar speaks OpenTelemetry (OTLP) natively, so there is no proprietary-SDK lock-in.
How much does Laminar cost?
Freemium. OSS self-host (Docker) free; cloud free tier + paid plans