machine-learning-ops

PackCloud & infra

machine-learning-ops is a plugin that lets an AI agent handle machine learning work: it runs model training pipelines, tunes hyperparameters, automates model deployment, tracks experiments, and manages MLOps workflows. Instead of running these tasks by hand, the agent carries them out for you.

Unavailable. Delivery for this kind is on the roadmap — not serving yet.

Have an AI agent that supports plugins.

What your AI can do with it

  • Run ML model training pipelines
  • Perform hyperparameter tuning
  • Automate model deployment
  • Track experiments
  • Manage MLOps workflows

Getting started

  1. Have an AI agent that supports plugins.
  2. Add the machine-learning-ops plugin to the agent.
  3. Ask the agent to run a machine learning task, such as training a model or tracking an experiment.

Signals

GitHub stars
40k
Forks
4k
Last commit
Sep 2026

Questions

What can this plugin do?
It lets an agent run ML model training pipelines, tune hyperparameters, automate model deployment, track experiments, and manage MLOps workflows.
Do I need to configure anything before use?
You need an agent that supports plugins; then add machine-learning-ops to it. No other setup details are specified.
Advanced
Item type
plugin
Key
wshobson-agents-machine-learning-ops
Source
github.com/wshobson/agents