Lemma
Observability and evaluation platform that helps AI agents learn from production failures and user feedback.
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GPT-4oWhat is Lemma?
Lemma is an observability and evaluation platform purpose-built for AI agents rather than traditional software. It captures full execution traces of agent runs—covering LLM calls, tool usage, retrieval steps, latency, and errors—so teams can pinpoint exactly where and why an agent went wrong. Beyond passive monitoring, Lemma closes the feedback loop by turning real user signals and detected failure patterns into concrete prompt and behavior improvements, aiming to cut manual debugging time significantly.
Compare with Alternatives
| Feature | Lemma | Tropir | Mosaic AI | VTok |
|---|---|---|---|---|
| Rating | 0.0 | 0.0 | 0.0 | 0.0 |
| Pricing | Paid | Paid | Paid | Paid |
| Starting From | — | — | — | — |
| API | — | — | — | — |
| Free Tier | — | — | — | — |
| Mobile App | — | — | — | — |
Who is it for
AI Agent Debugging
Engineering teams inspect nested spans, inputs, and outputs to diagnose why an agent selected the wrong action or tool during a live session.
Regression Detection
Product teams catch silent performance drifts after prompt or model updates before they escalate into user-facing complaints.
Customer Support Agent Optimization
Support teams use trace clustering and feedback signals to identify recurring misrouted requests and refine agent logic.
IDE-Connected Troubleshooting
Developers query traces directly from Cursor, Claude Desktop, or Claude Code via the Lemma MCP server without leaving their coding environment.
Compliance-Sensitive Deployments
Organizations handling sensitive data rely on Lemma's SOC 2 Type II certification and data isolation for secure agent monitoring.