Laminar
by Community
Laminar - open-source observability platform purpose-built for AI agents. YC S24.
OSS
Laminar
Added 1 June 2026
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.
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
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