Laminar
Detects agent failures, surfaces root causes via traces and natural-language queries, and confirms fixes.
Laminar is an open-source observability platform for AI agents that detects failures, explains their causes, and verifies fixes. It solves the problem of debugging complex agent runs by providing alerts, detailed traces, and natural-language querying. The product targets developers and operations teams at companies of all sizes, from startups to enterprises, who build and maintain AI agents. It is delivered as a self-hostable open-source tool with a commercial SaaS offering, positioning itself as a comprehensive solution for agent reliability.
Key features
- Alerts on agent failures via Slack
- Signals describe errors in plain English
- Trace view with input, reasoning, tool calls
- Timeline of agent run steps
- Natural-language questions about runs
- Jump to specific context from answers
- Cost heatmap for agent runs
- View similar events
- No social media activity within the last 30 days
GTM channels
- Blog
- Referral program
- Marketplace
- Community
- API
- Docs
- Changelog
ICP
- Software developers
- Engineering teams
- DevOps sre teams