19 Questions

Open Source

General-Purpose Machine Learning Updated Feb 15, 2026

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Compared with 13 other General-Purpose Machine Learning agents Open source Self-hostable Updated Feb 2026

💰 Open Source 🔄 Updated Feb 2026 🖥️ Self-hostable

💰 Pricing

Open Source

Pricing not publicly listed.

🎯 Use Cases

Classifying objects in datasets Enhancing attribute-based search systems Educational tools for teaching Bayesian inference Improving accuracy in automated categorization tasks

⚖️ Pros & Cons

✅ Pros

Open-source and self-hostable
Uses Bayesian inference for probabilistic accuracy
Lightweight and adaptable for various classification tasks

❌ Cons

May require technical expertise to implement effectively
Limited to attribute-based classification
Performance depends on the quality of input data

Overview

19 Questions is a machine learning tool that uses Bayesian inference to assign attributes to objects, helping users classify and identify items through a series of questions. It is designed to improve accuracy in attribute assignment by leveraging probabilistic models.

Problem It Solves

It solves the problem of efficiently classifying and identifying objects by using a structured, probabilistic approach to attribute assignment.

Target Audience: Developers and teams working with general-purpose machine learning 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 19 Questions, an AI assistant. Help the user accomplish their task efficiently.

Tools & Technologies

LLM APIs Python

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⚖️ Compare 19 Questions

FAQs

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

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