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Lemma is an observability and evaluation platform for AI agents. It records what each agent did in production, finds recurring problems, and gives you the evidence to investigate.
Project dashboard showing to-do items, headline stats, and resolved-versus-dismissed and traces-per-month charts
Traditional monitoring catches explicit errors. It misses agents that return incorrect answers, forget earlier messages, or choose the wrong tool. How Lemma works:
  1. Instrument the production agent so each execution becomes a ready, inspectable trace.
  2. Analyze completed traces for behavior that materially hurt the agent’s task.
  3. Group repeated evidence into an issue.
  4. Investigate in the dashboard, Inspect, Slack, Linear, or a coding agent. See Turning issues into fixes.
See Product boundaries for what Lemma evaluates and which surfaces are not shipped.

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Start sending traces

Choose how you’ll send agent data to Lemma.

Quickstart

Send your first complete agent trace to Lemma.

Integrations

Trace agents built with OpenAI Agents, Vercel AI SDK, LangChain, LangGraph, or Mastra.

Core concepts

Learn how Lemma defines traces, spans, generations, and threads.

Overview

What to do after the first ready trace arrives.

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Investigate and fix failures

Use Lemma to review detected failures, receive alerts, and investigate from your editor.

Turning issues into fixes

Triage a production issue, inspect the evidence, ship a change, and confirm it does not recur.

Issues

Review recurring failures that Lemma detects across your agent traces.

Inspect

Ask questions about the trace, issue, or page you are on.

Slack

Receive issue alerts and optional Issue Briefs in Slack.

Lemma MCP server

Give your coding agent the traces and issues it needs to investigate a failure.