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MLflow

Open Source AI Platform for Agents, LLMs & Models

AI Toolsllmopsmlopsopen-sourceobservabilityevaluationagentsllm
MLflow screenshot

About

MLflow is an open-source AI engineering platform for building, debugging, evaluating, and monitoring LLM applications, agents, and ML models. It provides observability via OpenTelemetry-based tracing, systematic evaluation with 50+ built-in metrics, prompt versioning and optimization, an AI gateway for LLM providers, and one-command agent deployment. Backed by the Linux Foundation and trusted by thousands of organizations, it is designed to accelerate AI development without vendor lock-in.

Problem

Building AI products requires rapid iteration across debugging, evaluation, and monitoring, which is complex and time-consuming without unified tooling.

For

AI/ML engineers and data science teams of all sizes

How it works

MLflow captures traces and metrics via minimal code instrumentation, provides a UI for exploration, and offers APIs for evaluation, prompt management, and one-command agent deployment.

Business model

open-source

Status

launched

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