HEBO

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

Hyperparameter tuning for deep learning models Optimizing black-box functions in research Automating ML pipeline configurations Benchmarking optimization algorithms Improving model accuracy in resource-constrained environments

⚖️ Pros & Cons

✅ Pros

Proven performance in competitive benchmarks (NeurIPS 2020 winner)
Open-source and self-hostable
Supports black-box optimization tasks

❌ Cons

May require technical expertise to integrate into custom workflows
Limited to hyperparameter optimization (not a full AutoML solution)
Documentation or community support may be less extensive than commercial alternatives

Overview

HEBO is an open-source AutoML framework specializing in hyperparameter optimization, designed to efficiently tune machine learning models. It includes tools for black-box optimization and was the winning submission in the NeurIPS 2020 Black-Box Optimization Challenge.

Problem It Solves

It automates and optimizes the process of selecting the best hyperparameters for machine learning models, 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 HEBO, 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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