MLflow 3.13.0

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Yuki Watanabe

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Jun 1, 2026, 7:40:03 PM (11 days ago) Jun 1

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MLflow 3.13.0 has been released!

3.13.0 is a major update running AI observability at scale, focused on access control, the lifecycle of your trace data, and richer support for agents. Here are the highlight of the release:

🔐 Role-Based Access Control & Admin UI: A full RBAC: system with reusable roles and workspace-scoped grants, plus a new web Admin UI for managing users, roles, and permissions on self-hosted MLflow.
💾 Trace Retention & Auto Archival: Automatically move aged trace span data out of your SQL backend into object storage (e.g. S3) while keeping every trace fully readable in the UI and APIs.
🤖 One-click observability & governance for coding agents: Onboard Claude Code, OpenAI Codex, or Gemini CLI to the AI Gateway in one click for tracing, usage tracking, budgets, and guardrails.
✨ New engines for MLflow Assistant: Run OSS MLflow Assistant on a local Ollama model, the OpenAI Codex CLI, or any MLflow AI Gateway endpoint, in addition to Claude Code.
📦 Helm chart for Kubernetes: An official, production-ready Helm chart for deploying the MLflow tracking server to any Kubernetes cluster.
🌐 Hermes Agent support: Route the Hermes Agent runtime through the AI Gateway and capture its end-to-end traces in MLflow over OpenTelemetry.
🪵 Span log levels: Python-logging-style severity levels on spans, with a "Minimum log level" filter in the trace UI to hide low-level noise.

For visual demos of the above features, check out the release post on our website! For a complete list of updates and bug fixes, check out the full changelog.

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