Laminar is an open-source observability platform that collects and analyzes traces from long-running AI agents, providing step-level debugging (including rerun-from-step), SQL-based telemetry queries, structured Signals for event extraction, and browser session recording linked to traces.
Published Oct 9, 2026
| Starting Price | Published free tier and additional paid tiers; vendor-published hobby/pro tiers available | Published developer and paid tiers with per-seat and usage-based pricing | Published free tier and paid/pro tier pricing available from the vendor |
| Core Model | Open-source + managed cloud + enterprise/on-prem | SaaS with pay-as-you-go traces; enterprise options | SaaS with usage limits + enterprise |
| Primary users | Teams building long-running agents, especially browser agents; organizations seeking SQL and signals features | Teams using the LangChain ecosystem; teams seeking integrated tracing/evals/prompts + deployment | Teams seeking packaged tracing + evals in a hosted product |
| Key characteristics | Agent-focused debugging, Signals, browser session linkage, OpenTelemetry compatibility | Ecosystem integration with LangChain, broader documentation and support resources | Hosted tracing + evals offering with packaged pricing and enterprise options |
| Key considerations | Smaller vendor with fewer independent reviews; some ambiguity in public compliance language | Potential higher cost at scale depending on trace volumes and seat pricing | May have different trade-offs around openness and self-hosting compared with Laminar |
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