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ZenML

One AI platform from pipelines to agents. Build, manage and deploy production ML/AI systems with MLOps best practices.

★ 5,551 GitHub Apache-2.0 mlopspipelinesagentsmachine-learningorchestrationllmopsai-platform Automation Tools

Overview

ZenML is the open-source AI platform that takes you from pipelines to agents. It gives you a central control plane to build, manage and deploy production-ready machine learning and AI systems, with MLOps best practices baked in from day one. Connect your existing infrastructure, standardize your ML workflows as code, and ship reliable pipelines that run anywhere — from your laptop to Kubernetes and the cloud. ZenML also bridges the gap to the agent era with native support for agent workflows and LLMOps, making it a single platform for the whole AI lifecycle.

Requirements

Min vCPU
2
Min RAM
4096 MB
Min Disk
10 GB
Rec vCPU
4
Rec RAM
8192 MB
Rec Disk
20 GB

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Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  zenml:
    image: zenmldocker/zenml
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/zenml:/data

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Guides & articles

ZenML Tutorial: Build Your First Production-Ready ML Pipeline in Minutes

A hands-on ZenML tutorial: install the CLI, define a pipeline with steps, run with automatic caching, and track artifacts in the dashboard.

Aug 10, 2026

ZenML: The Open-Source AI Platform That Takes You From Pipelines to Agents

ZenML is an open-source AI platform for production ML: reproducible pipelines, cloud-native stacks, and native LLMOps and agent support — all as code.

Aug 10, 2026