Laminar

Laminar is an open source observability platform aimed at AI agents rather than at general web services. It exists to answer the question that gets hard once an agent is loose in production, which is what the thing actually did and where it went wrong.

Instrumentation is OpenTelemetry-native. One line of SDK setup traces Vercel AI SDK, Browser Use, Stagehand, LangChain, OpenAI, Anthropic and Gemini calls automatically, and an observe wrapper in TypeScript or a decorator in Python captures the inputs and outputs of your own functions.

Around that tracing layer sits the rest of the platform.

• Signals: describe a behavior to watch for in plain English, such as an agent stuck in a loop, and get pinged in Slack when it occurs.
• Evals: an unopinionated SDK and CLI run evaluations locally or in CI, with a UI for comparing results.
• Dashboards: traces, metrics and events are charted, including through custom SQL queries.
• Datasets: a custom rendering UI speeds up annotating data and assembling evaluation sets.
• Agent access: an MCP server and CLI let your coding agent query traces and spans with SQL while debugging.

The backend is written in Rust, compresses agent traces roughly twentyfold for ingestion and storage, and runs a realtime engine for watching traces as they arrive. Self-hosting is a clone and docker compose up, with a fuller compose file recommended for production and telemetry disabled by one environment variable.