AI Infrastructure · GitHub ·25,882 ★

mlflow

The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.

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Details

Author
mlflow
Category
AI Infrastructure
Platform
GitHub
Framework
custom
Language
python
Stars
25,882
First indexed
2026-05-15
Last active
2026-05-12
Directory sync
2026-05-15
@mlflow@mlflowwww.mlflow.org

Overview

The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.

Quick start

git

git clone https://github.com/mlflow/mlflow

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What mlflow can do

agentopsagentsaiai-governanceapache-spark
  • Agentops — agentops task automation.
  • Agents — agents task automation.
  • Ai — ai task automation.
  • Ai Governance — ai-governance task automation.
  • Apache Spark — apache-spark task automation.

Frequently asked questions

What is mlflow?
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
How do I install mlflow?
Use git: `git clone https://github.com/mlflow/mlflow`. Full setup details on the source page linked above.
Is mlflow open source?
mlflow is published on GitHub.
What are alternatives to mlflow?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for mlflow is sourced from GitHub, published by mlflow.

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