Katib

Open Source

AutoML Updated Feb 15, 2026

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Compared with 14 other AutoML agents Open source Self-hostable Updated Feb 2026

💰 Open Source 🔄 Updated Feb 2026 🖥️ Self-hostable

💰 Pricing

Open Source

Pricing not publicly listed.

🎯 Use Cases

Optimizing hyperparameters for deep learning models in distributed environments Automating neural architecture search for custom ML tasks Scaling model tuning across Kubernetes clusters for large datasets

⚖️ Pros & Cons

✅ Pros

Seamless integration with Kubernetes and Kubeflow for scalable deployments
Supports multiple optimization algorithms and frameworks
Open-source and community-driven with active development

❌ Cons

Requires Kubernetes expertise for setup and management
Primarily optimized for Kubeflow, limiting flexibility for non-Kubernetes environments
Steeper learning curve for users unfamiliar with AutoML concepts

Overview

Katib is a Kubernetes-native system for automated hyperparameter tuning and neural architecture search, designed to optimize machine learning models efficiently. It integrates with Kubeflow to provide scalable, distributed tuning capabilities for ML workloads.

Problem It Solves

It automates the tedious and computationally expensive process of finding optimal model configurations, reducing manual effort and improving model performance.

Target Audience: Developers and teams working with automl automation.

Inputs

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

Outputs

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

Example Workflow

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

Sample System Prompt


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

Tools & Technologies

LLM APIs Python

Alternatives

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FAQs

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

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