Laminar

Overview

Laminar is an open-source observability platform designed specifically for AI agents. It provides tracing and monitoring capabilities to debug and optimize agent behavior. Built with TypeScript, it helps developers track agent actions, LLM calls, and tool interactions.

Best for

Best for
Developers building and debugging AI agent systems who want open-source observability

Use cases

• Debugging multi-step agent workflows
• Monitoring LLM call latency and costs
• Tracing tool usage in agent pipelines

Notes

Laminar is an open-source observability platform designed specifically for AI agents. It provides tracing and monitoring capabilities to debug and optimize agent behavior. Built with TypeScript, it helps developers track agent actions, LLM calls, and tool interactions.

2,965 stars on GitHub. Last updated 2026-06-01. Licensed Apache-2.0.

Use cases

• Debugging multi-step agent workflows
• Monitoring LLM call latency and costs
• Tracing tool usage in agent pipelines

Pros

• Open-source and free to self-host
• Purpose-built for AI agent observability
• Active community with 2.9k GitHub stars

Cons

• Limited enterprise support compared to commercial alternatives
• Relatively new project with evolving feature set
• Requires self-hosting and maintenance

Indexed from awesome-llmops and enriched against its public facts.