AI Potluck
Product / UX / Telemetry & observability

Laminar

Laminar AI

Open-source observability platform purpose-built for AI agents. Provides tracing, evaluation, and analytics for agentic workflows with an emphasis on multi-step agent debugging. YC S24. Rust-based backend for high performance. 2.9K GitHub stars and growing rapidly.

lmnr Python SDK v0.7.52 (27 May 2026); platform/repo lmnr-ai/lmnr at v0.1.46 (31 May 2026). Confirmed live on GitHub + PyPI June 2026.

Openness

5 medium confidence
5.0
license
Apache-2.0(OSI)
source
public(Rust core + TS UI)
SDKs
Apache-2.0
core-gated
ungated

Repo and SDKs Apache-2.0 with full source; a hosted cloud exists but no enterprise-gated module split was visible in the repo (less explicit open-core boundary than Langfuse/LangWatch).

Adoption

3 low confidence
3.0

pypistats reports ~17M lmnr downloads/mo, but this is anomalously high for a ~3k-star project and almost certainly CI/mirror-inflated (common for OTel auto-instrumentation SDKs pulled transitively); discounting to level 3 rather than treating 17M as honest end-user reach. GitHub ~3k stars corroborates a smaller real user base. Treat as directional.

Capability

3 medium confidence
3.0

Solid tracing+evals+datasets coverage with a differentiated SQL/dashboard layer; below Langfuse/MLflow (C4 anchors) on prompt management and cost-tracking breadth, hence 3.

Unchanged since 2026-07-30 (last edited, not re-checked)