Both CortexOps and Langfuse are open-source AI observability platforms. If you are evaluating them, the choice comes down to a few key differences: framework support, evaluation methodology, and whether you need a CI/CD deployment gate.
What They Are
Langfuse is an open-source LLM engineering platform focused on tracing, prompt management, and evaluation. It has a strong Python and TypeScript SDK, a hosted cloud option, and a popular self-hosted deployment. Over 6 million SDK downloads per month.
CortexOps is an open-source AI agent observability platform focused specifically on agentic systems. It supports 12 agent frameworks via a unified instrumentation layer, provides LLM-as-judge evaluation, and ships a CI/CD deployment gate CLI designed to block regressions before they reach production.
Feature Comparison
