C

CML

Open Source
Model Training and Orchestration Updated Feb 15, 2026
Get Started →
Compared with 22 other Model Training and Orchestration agents Open source Self-hostable Updated Feb 2026
💰 Open Source 🔄 Updated Feb 2026 🖥️ Self-hostable

💰 Pricing

Open Source

Pricing not publicly listed (open-source project).

🎯 Use Cases

Automating model training and evaluation in CI/CD pipelines Tracking and comparing ML experiments across team members Generating dynamic reports for model performance and metrics Deploying trained models to cloud or on-premise infrastructure

⚖️ Pros & Cons

✅ Pros

  • Seamless integration with GitHub Actions and other CI/CD platforms
  • Supports versioning of datasets and models alongside code
  • Open-source and self-hostable for full control over infrastructure

❌ Cons

  • Requires familiarity with CI/CD concepts and workflows
  • Primarily GitHub-centric, with less native support for other platforms
  • Limited built-in visualization compared to commercial MLOps platforms

Overview

CML (Continuous Machine Learning) is an open-source library that integrates continuous integration and delivery (CI/CD) workflows into machine learning projects, enabling automated testing, training, and deployment of models. It provides tools for versioning datasets, tracking experiments, and generating reports within CI pipelines.

Problem It Solves

It automates and streamlines the MLOps workflow by bridging the gap between traditional CI/CD practices and machine learning development, reducing manual overhead in model iteration and deployment.

Target Audience: Developers and teams working with model training and orchestration automation.

Inputs

  • • User configuration
  • • API credentials (if required)
  • • Task parameters

Outputs

  • • Automated task results
  • • Status reports
  • • Generated content or actions

Example Workflow

  1. 1 User configures the agent with required parameters
  2. 2 Agent receives input data or trigger
  3. 3 Agent processes the request using its core logic
  4. 4 Agent interacts with external services if needed
  5. 5 Results are returned to the user

Sample System Prompt 


              You are CML, an AI assistant. Help the user accomplish their task efficiently.

Tools & Technologies

LLM APIs Python

Alternatives

See all Model Training and Orchestration alternatives to CML →

🔗Related AI Agents

A
AutoTrain AdvancedModel Training and Orchestration
A
AvalancheModel Training and Orchestration
A
AxolotlModel Training and Orchestration
B
BindsNETModel Training and Orchestration
C
CoreNetModel Training and Orchestration
D
DeterminedModel Training and Orchestration

⚖️ Compare CML

FAQs

Is this agent open-source?
Yes
Can this agent be self-hosted?
Yes
What skill level is required?
Intermediate

Rate This Agent

Loading...

Your rating:

Reviews

Loading reviews...

Write a Review

0 / 500

Ready to try this agent?

CML

Write a Review ★ Visit CML →