Lemma
ActiveAI-nativeProduction Monitoring for AI agents
What it does
Lemma catches the silent, semantic failures your observability tools miss, where your AI agent looks like it worked but didn’t. We scan every trace to surface issues before users complain, identify root causes, and help you fix them without manual digging, so your agents improve over time.
Its site says now · captured 2026-08-23
Lemma | Production monitoring for AI agents
Surface silent failures, pull context across traces, improve your agent before users churn.
Next to it in Agent infrastructure · AI agent monitoring and observability
- The Context CompanyY Combinator F25
Monitor AI agents and understand user behavior
- AgentOpsPlug and Play PnP 2025
Allows you to build your next agent with graphs, monitoring, and replay analytics.
- RaindropY Combinator W24
Sentry for AI Agents
- BentoLabs AIY Combinator X26
Monitoring and learning layer for long-running agents
- TraceRoot.AIY Combinator S25
Open source self-improving layer for AI agents
- SentrialY Combinator W26
Datadog for Agent Reliability
- SilmarilY Combinator X26
Security for agents that self-improves
- BluejayY Combinator X25
Test, monitor, and improve your voice and chat AI agents