Autokeras

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

Automated hyperparameter tuning for image classification models Rapid prototyping of neural networks for tabular data Optimizing model architectures for natural language processing tasks Educational tool for learning deep learning concepts Streamlining ML workflows in resource-constrained teams

⚖️ Pros & Cons

✅ Pros

Seamless integration with Keras/TensorFlow ecosystem
Reduces time and expertise needed for model design
Active open-source community and development
Supports multiple data types (images, text, structured data)

❌ Cons

Limited customization compared to manual model building
Computationally intensive architecture search process
Primarily optimized for Keras, less flexibility for other frameworks
May produce suboptimal architectures for highly specialized tasks

Overview

AutoKeras is an open-source AutoML library designed to automate the process of selecting and tuning neural network architectures for deep learning tasks. It specializes in neural architecture search (NAS) using network morphism, streamlining model development for Keras/TensorFlow users.

Problem It Solves

It eliminates the manual effort required to design and optimize deep learning models, making advanced machine learning accessible without extensive expertise.

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 Autokeras, an AI assistant. Help the user accomplish their task efficiently.

Tools & Technologies

LLM APIs Python

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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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