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.
What it is, and how people use it
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. It sits on the Dev Agents & Programs shelf of the catalog, maintained by @mlflow.
Why builders keep it installedDev Agents & Programs benefits
These CLIs and dashboards solve one job well and install with a single command. Value shows up in the first hour, not after a config weekend.
Most of them ship an MCP server, skill or hooks - so the same tool you use manually becomes an action your agent can call safely.
Star counts here track repos people actually run daily: the issue history shows bug classes fixed under production pressure, not demo-week polish.
Every tool on this page ships under an open license and can be self-hosted. Your usage data and your configs stay yours.
Contributorsloading from GitHub…
Languagesestimated from snapshot
- Python 72.0%
- TypeScript 16.0%
- Shell 12.0%