Laminar (LMNR)

Laminar (LMNR) is an open-source AI agent observability platform for tracing, debugging, evaluating, and improving long-running agents; teams can self-host for free, use a Free cloud tier, or choose managed cloud plans starting at $30/month, with Pro listed at $150/month and Enterprise priced custom.

It is built for developers working on complex agent systems where failures can happen late in a run and simple request-response logging is not enough. The platform's core positioning is agent observability rather than generic application monitoring: it focuses on showing how an agent moved through its steps, what tools it called, what browser actions it took, what model responses shaped its decisions, and where the workflow began to drift from the expected path.

The most distinctive workflow is Laminar's agent debugger. The product describes a rerun-at-step-N experience that preserves previous context, which is useful when a research, coding, browser, or operations agent fails after many minutes of work. Instead of repeatedly replaying a full run from the beginning, a developer can inspect the trace around the failing decision point and iterate from that step. This makes Laminar especially relevant for teams building long-running agents, browser agents, multi-tool assistants, and evaluation-heavy development loops where the expensive part is not just logging a request but understanding the sequence of decisions that led to a bad outcome.

Laminar also includes browser session recording synced to traces. That matters for web automation agents because a trace alone may show the tool call or action, while the recording can reveal what was actually visible in the browser when the agent clicked, navigated, waited, or extracted information. The listed integrations include Browser Use, Stagehand, Playwright, Kernel, and Browserbase, which gives the product a clear fit for teams testing and operating agents that interact with live web pages. For non-browser workflows, Laminar still provides trace capture, cost and latency visibility, evaluation support, dataset-related workflows, SQL querying, and dashboards for reviewing operational behavior.

Signals are Laminar's natural-language pattern detection feature. Instead of relying only on manually written log queries, teams can describe a failure pattern or operational event, define the desired output structure, and use Laminar to extract matching events from traces. This is useful for recurring issues such as retry loops, repeated failed actions, missing final outputs, tool errors, or user-visible frustration. Signals should still be treated as an analysis aid rather than a replacement for careful operational design: teams need to define useful categories, review the extracted examples, and connect the results to debugging or product-quality workflows.

Pricing is structured around a free cloud tier, paid managed cloud tiers, and custom Enterprise terms. The public pricing page lists Free at $0/month with 1 GB data, 1,000 Signals steps, 15-day retention, 1 project, 1 seat, and community support. Hobby is listed at $30/month with 3 GB data included, $2/GB overage, 5,000 Signals steps included, $0.0075 per additional Signals step, 30-day retention, unlimited projects, unlimited seats, and email support. Pro is listed at $150/month with 10 GB data included, $1.50/GB overage, 50,000 Signals steps included, $0.005 per additional Signals step, 90-day retention, unlimited projects, unlimited seats, and Slack support. Enterprise is custom priced with custom limits, on-premise deployment, unlimited projects, unlimited seats, and dedicated support. Teams should confirm current plan terms before purchase, but the published tier structure makes the entry path clear while reserving deployment and large-scale requirements for Enterprise discussions.